notebooks/analysis/1. green_index_calculation.ipynb

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    "# In this notebook we have: \n",
    "- Analyzing all trajectories from **\"all_trajectories\"** file\n",
    "- Estimating distance between each two stops of a trip in **\"distance_km\"** and **\"distance_minutes\"** column\n",
    "- Estimating the number of trees around each stop in **\"number_trees\"** column\n",
    "- Defining **\"green_index\"** both in time and distance"
   ]
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   "execution_count": 1,
   "metadata": {
    "id": "SuSH33L9DXwA"
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   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline\n",
    "\n",
    "import folium\n",
    "\n",
    "from geopy.distance import geodesic\n",
    "import geopy.distance\n",
    "\n",
    "from sklearn.neighbors import KDTree\n",
    "from scipy import spatial\n",
    "from scipy import stats\n",
    "from scipy.spatial import distance"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "HT_YdWTgjnz8"
   },
   "source": [
    "## Opening trajectories and trees data"
   ]
  },
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       "    tripIndex        lat        lon  time\n",
       "0         349  41.904218  12.679084     0\n",
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       "2         349  41.901686  12.678275   645\n",
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       "8         349  41.897205  12.678455  2560\n",
       "9        4737  41.925546  12.414767     0\n",
       "10       4737  41.925740  12.414022   227\n",
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       "12       4737  41.926607  12.410988   467\n",
       "13       4800  41.893384  12.562294     0\n",
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   "source": [
    "all_tj = pd.read_csv(\"/content/all_trajectories.csv\")\n",
    "all_tj = all_tj.drop(['Unnamed: 0', 'index'], axis=1)\n",
    "all_tj.head(15)"
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   "source": [
    "As 'time' column in the dataset is not showing the time spemt on each stop, we defined a new column 'corrected_time' which has the time spent on between each row. "
   ]
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     "text": [
      "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  \n",
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    "all_tj['corrected_time'] = pd.Series(dtype='int')\n",
    "all_tj['corrected_time'][0] = 0\n",
    "\n",
    "for i, row in all_tj.iterrows():\n",
    "  if (i != 0) and all_tj['tripIndex'][i] == all_tj['tripIndex'][i - 1]:\n",
    "      all_tj['corrected_time'][i] = all_tj['time'][i] - all_tj['time'][i - 1]\n",
    "  elif (i != 0) and all_tj['tripIndex'][i] != all_tj['tripIndex'][i - 1]:\n",
    "      all_tj['corrected_time'][i] = all_tj['time'][i]"
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       "   tripIndex        lat        lon  time  corrected_time\n",
       "0        349  41.904218  12.679084     0             0.0\n",
       "1        349  41.898969  12.678453    55            55.0\n",
       "2        349  41.901686  12.678275   645           590.0\n",
       "3        349  41.896203  12.676946  1291           646.0\n",
       "4        349  41.895846  12.675373  1292             1.0"
      ]
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       "   Unnamed: 0      DESCRIZION  MUNICIPIO  CODICE_COM  CODICE_PRO  SCALA_NOMI  \\\n",
       "0           0  Albero isolato       18.0          91          58        5000   \n",
       "1           1  Albero isolato       18.0          91          58        5000   \n",
       "2           2  Albero isolato       18.0          91          58        5000   \n",
       "3           3  Albero isolato       18.0          91          58        5000   \n",
       "4           4  Albero isolato       18.0          91          58        5000   \n",
       "\n",
       "       DATA   CARTA  DITTA  FLAG_LIM    IDENTIFICA   CODICE  CODICE_DGC  \\\n",
       "0  25/04/02  374053  100.0       NaN  4.000000e+11  030101S      4856.0   \n",
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      ]
     },
     "execution_count": 3,
     "metadata": {},
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    }
   ],
   "source": [
    "# Opening the trees file. \n",
    "tr = pd.read_csv('/content/New_punti_with_lon_lat.csv')\n",
    "# The last row has no latitude. \n",
    "tr = tr[:-1]\n",
    "tr.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "rD2ZL20ajudb"
   },
   "source": [
    "## Preparing the data for estimating the distances in km and in minutes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "x5eXuKu5wehw"
   },
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   "source": [
    "# Putting lat-lon as a tuple to have them in this format for later uses. \n",
    "\n",
    "all_tj[\"lat-lon\"] = list(zip(all_tj['lat'], all_tj['lon']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
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    "id": "nL94L3vPDi2A",
    "outputId": "53b450cd-618e-44bf-f78a-25cf49816795"
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    {
     "name": "stderr",
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     "text": [
      "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:10: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  # Remove the CWD from sys.path while we load stuff.\n",
      "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:11: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  # This is added back by InteractiveShellApp.init_path()\n",
      "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:16: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  app.launch_new_instance()\n",
      "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:17: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:19: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:20: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n"
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   "source": [
    "# Defining two columns of \"lat_next\" and \"lot_next\" for estimating the distance.\n",
    "# It should see if the tripIndex has not been changed, get the next lat and lon.\n",
    "# And if the tripIndex has changed, take the last lat and lon and put it as the next lat and lon.  \n",
    "\n",
    "## It takes near 3 minutes to run\n",
    "\n",
    "all_tj['lat_next'] = pd.Series(dtype='float')\n",
    "all_tj['lon_next'] = pd.Series(dtype='float')\n",
    "\n",
    "all_tj['lat_next'][len(all_tj) - 1] = all_tj['lat'][len(all_tj) - 1]\n",
    "all_tj['lon_next'][len(all_tj) - 1] = all_tj['lon'][len(all_tj) - 1]\n",
    "\n",
    "\n",
    "for i, row in all_tj.iterrows():\n",
    "  if (i != len(all_tj) - 1) and all_tj['tripIndex'][i] == all_tj['tripIndex'][i + 1]:\n",
    "      all_tj['lat_next'][i] = all_tj['lat'][i + 1]\n",
    "      all_tj['lon_next'][i] = all_tj['lon'][i + 1]\n",
    "  elif (i != len(all_tj) - 1) and all_tj['tripIndex'][i] != all_tj['tripIndex'][i + 1]:\n",
    "      all_tj['lat_next'][i] = all_tj['lat'][i]\n",
    "      all_tj['lon_next'][i] = all_tj['lon'][i]"
   ]
  },
  {
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   "execution_count": null,
   "metadata": {
    "id": "MWQfZCQsLNtt"
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   "source": [
    "# Estimating the distance in km between each two stops of trips.\n",
    "\n",
    "def distancer(row):\n",
    "    coords_1 = (row['lat'], row['lon'])\n",
    "    coords_2 = (row['lat_next'], row['lon_next'])\n",
    "    return geopy.distance.geodesic(coords_1, coords_2).km\n",
    "\n",
    "all_tj['distance_km'] = all_tj.apply(distancer, axis=1)"
   ]
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  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "HDyWAhBiLrs7"
   },
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   "source": [
    "# Estimating the distance in minutes between each two stops of trips.\n",
    "\n",
    "def distancer_in_euclidean(row):\n",
    "  coords_1 = (row['lat'], row['lon'])\n",
    "  coords_2 = (row['lat_next'], row['lon_next'])\n",
    "  return distance.euclidean(coords_1, coords_2)\n",
    "\n",
    "all_tj['distance_in_minutes'] = all_tj.apply(distancer_in_euclidean, axis=1)"
   ]
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       "      <td>0.618901</td>\n",
       "      <td>0.005642</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>349</td>\n",
       "      <td>41.896203</td>\n",
       "      <td>12.676946</td>\n",
       "      <td>1291</td>\n",
       "      <td>(41.89620294246636, 12.676946426407458)</td>\n",
       "      <td>41.895846</td>\n",
       "      <td>12.675373</td>\n",
       "      <td>0.136472</td>\n",
       "      <td>0.001614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>349</td>\n",
       "      <td>41.895846</td>\n",
       "      <td>12.675373</td>\n",
       "      <td>1292</td>\n",
       "      <td>(41.89584603111947, 12.67537280875032)</td>\n",
       "      <td>41.895602</td>\n",
       "      <td>12.675157</td>\n",
       "      <td>0.032455</td>\n",
       "      <td>0.000325</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-7c86831f-427a-4a4d-b633-0cd4fa572df2')\"\n",
       "              title=\"Convert this dataframe to an interactive table.\"\n",
       "              style=\"display:none;\">\n",
       "        \n",
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       "  </svg>\n",
       "      </button>\n",
       "      \n",
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       "    .colab-df-container {\n",
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       "\n",
       "    .colab-df-convert {\n",
       "      background-color: #E8F0FE;\n",
       "      border: none;\n",
       "      border-radius: 50%;\n",
       "      cursor: pointer;\n",
       "      display: none;\n",
       "      fill: #1967D2;\n",
       "      height: 32px;\n",
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       "    }\n",
       "\n",
       "    .colab-df-convert:hover {\n",
       "      background-color: #E2EBFA;\n",
       "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
       "      fill: #174EA6;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert {\n",
       "      background-color: #3B4455;\n",
       "      fill: #D2E3FC;\n",
       "    }\n",
       "\n",
       "    [theme=dark] .colab-df-convert:hover {\n",
       "      background-color: #434B5C;\n",
       "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
       "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
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       "        const buttonEl =\n",
       "          document.querySelector('#df-7c86831f-427a-4a4d-b633-0cd4fa572df2 button.colab-df-convert');\n",
       "        buttonEl.style.display =\n",
       "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
       "\n",
       "        async function convertToInteractive(key) {\n",
       "          const element = document.querySelector('#df-7c86831f-427a-4a4d-b633-0cd4fa572df2');\n",
       "          const dataTable =\n",
       "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
       "                                                     [key], {});\n",
       "          if (!dataTable) return;\n",
       "\n",
       "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
       "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
       "            + ' to learn more about interactive tables.';\n",
       "          element.innerHTML = '';\n",
       "          dataTable['output_type'] = 'display_data';\n",
       "          await google.colab.output.renderOutput(dataTable, element);\n",
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       "          docLink.innerHTML = docLinkHtml;\n",
       "          element.appendChild(docLink);\n",
       "        }\n",
       "      </script>\n",
       "    </div>\n",
       "  </div>\n",
       "  "
      ],
      "text/plain": [
       "   tripIndex        lat        lon  time  \\\n",
       "0        349  41.904218  12.679084     0   \n",
       "1        349  41.898969  12.678453    55   \n",
       "2        349  41.901686  12.678275   645   \n",
       "3        349  41.896203  12.676946  1291   \n",
       "4        349  41.895846  12.675373  1292   \n",
       "\n",
       "                                    lat-lon   lat_next   lon_next  \\\n",
       "0    (41.90421784974773, 12.67908421134476)  41.898969  12.678453   \n",
       "1  (41.898969469324754, 12.678453128461776)  41.901686  12.678275   \n",
       "2  (41.901685997328975, 12.678274506347506)  41.896203  12.676946   \n",
       "3   (41.89620294246636, 12.676946426407458)  41.895846  12.675373   \n",
       "4    (41.89584603111947, 12.67537280875032)  41.895602  12.675157   \n",
       "\n",
       "   distance_km  distance_in_minutes  \n",
       "0     0.585292             0.005286  \n",
       "1     0.302092             0.002722  \n",
       "2     0.618901             0.005642  \n",
       "3     0.136472             0.001614  \n",
       "4     0.032455             0.000325  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_tj.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 415
    },
    "id": "3-M59nRaFeqE",
    "outputId": "161fba94-4f75-4515-8dda-7b3bb4416827"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/dist-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "No handles with labels found to put in legend.\n",
      "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:8: UserWarning: Attempted to set non-positive left xlim on a log-scaled axis.\n",
      "Invalid limit will be ignored.\n",
      "  \n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Distribution of distance in all rows (stops). You can plot it in log_scale, too.\n",
    "\n",
    "ax = sns.distplot(all_tj['distance_km'], hist = False)\n",
    "ax.set_xlabel(\"Distance (km)\", fontsize = 12)\n",
    "ax.set_ylabel(\"Frequency of distance in stops\", fontsize = 12)\n",
    "ax.set_xscale('log')\n",
    "plt.legend()\n",
    "plt.xlim(0)\n",
    "#plt.savefig('distribution of distance in stops_logscale.png', dpi = 300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "zuio5cfPj-QE"
   },
   "source": [
    "## Estimating the number of trees around each stop and plotting the distribution of number of trees"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "oFYYuQ5kPslY",
    "outputId": "d2f40bc1-72e8-4975-a295-f885cbaa8659"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean of distance in km: \n",
      "0.2246162522984261\n",
      "Mean of distance in minutes: \n",
      "0.002334245004013875\n"
     ]
    }
   ],
   "source": [
    "# Take the mean of distance both in km and minutes.\n",
    "\n",
    "print(\"Mean of distance in km: \")\n",
    "print(all_tj['distance_km'].mean())\n",
    "print(\"Mean of distance in minutes: \")\n",
    "print(all_tj['distance_in_minutes'].mean())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "nezChQGrPAjW"
   },
   "outputs": [],
   "source": [
    "# Converting the lat and lon columns in both dataset intpo numpy array.\n",
    "\n",
    "points_tr = np.array(list(zip(tr['lat'], tr['lon'])))\n",
    "points_tj = np.array(list(zip(all_tj['lat'], all_tj['lon'])))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "SmNn5BIoPNRJ"
   },
   "outputs": [],
   "source": [
    "# Estimating the number of trees in radius R around each stop.\n",
    "\n",
    "def number_tree(trip_stop, r, tree_df):\n",
    "  tree = spatial.KDTree(points_tr)\n",
    "  return tree.query_ball_point(trip_stop, r)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "PSIjV1PlPQ5K"
   },
   "outputs": [],
   "source": [
    "# For the radius R, we put the mean of distances, which is equal to 220 meters.\n",
    "# We add all the number of trees in a column and add it later to the dataset. \n",
    "\n",
    "# It takes nearly 8 minutes to run\n",
    "\n",
    "tree = KDTree(points_tr, leaf_size=2, metric='euclidean')\n",
    "number = []\n",
    "for i in range(len(points_tj)):\n",
    "  number.append(tree.query_radius([points_tj[i]], r = all_tj['distance_in_minutes'].mean(), count_only=True)[0])\n",
    "\n",
    "# Adding the column to the dataset\n",
    "number = np.array(number)\n",
    "all_tj['number_trees'] = number\n",
    "\n",
    "# for plotting the trips without zero number of trees around, we use another list for not changing the original list.\n",
    "number_0 = number\n",
    "number_0 = [i for i in number_0 if i != 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "02kP7pVF7dLI"
   },
   "outputs": [],
   "source": [
    "# Estimating the number of trees in radius 320 meter as a higher radius.\n",
    "\n",
    "# It takes near 5 minutes to run\n",
    "\n",
    "tree = KDTree(points_tr, leaf_size=2, metric='euclidean')\n",
    "number_1 = []\n",
    "for i in range(len(points_tj)):\n",
    "  number_1.append(tree.query_radius([points_tj[i]], r = 0.0027, count_only=True)[0])\n",
    "\n",
    "# Remving zeros\n",
    "number_1 = [i for i in number_1 if i != 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "aFqiW72p8TLv"
   },
   "outputs": [],
   "source": [
    "# Estimating the number of trees in radius 50 meter as a very smaller radius.\n",
    "\n",
    "# It takes near 5 minutes to run\n",
    "\n",
    "tree = KDTree(points_tr, leaf_size=2, metric='euclidean')\n",
    "\n",
    "number_2 = []\n",
    "for i in range(len(points_tj)):\n",
    "  number_2.append(tree.query_radius([points_tj[i]], r = 0.0006, count_only=True)[0])\n",
    "\n",
    "# Remving zeros\n",
    "number_2 = [i for i in number_2 if i != 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 338
    },
    "id": "odR8CK-QPf43",
    "outputId": "40c65edb-f800-47fa-8346-7a2720f263fe"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/dist-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting distribution of number of trees with zeros\n",
    "\n",
    "ax = sns.distplot(number, hist = False,  label=\"R = 220 m\")\n",
    "ax.set_xlabel(\"Number of trees (with zeros)\", fontsize = 12)\n",
    "ax.set_ylabel(\"Frequency of trees on the path\", fontsize = 12)\n",
    "plt.legend()\n",
    "plt.xlim(0)\n",
    "#plt.savefig('number_of_trees_220m.png', dpi = 300)\n",
    "plt.show()\n",
    "\n",
    "# so it shows that most of our trips have less than 20 trees in their path.\n",
    "# Although we have another pick at 100 trees which includes noticable number of trips. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 338
    },
    "id": "-xWnxM-SkQct",
    "outputId": "af046ced-2159-4026-dbae-e5f641f3cc59"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/dist-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.distplot(number_0, hist = False,  label=\"R = 220 m\")\n",
    "ax.set_xlabel(\"Number of trees (without zeros)\", fontsize = 12)\n",
    "ax.set_ylabel(\"Frequency of trees on the path\", fontsize = 12)\n",
    "plt.legend()\n",
    "plt.xlim(0)\n",
    "#plt.savefig('number_of_trees_220m without zeros.png', dpi = 300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 338
    },
    "id": "O7wFcAokZJkg",
    "outputId": "5be79ab0-eaf4-4465-ae39-e5955c1cd810"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/dist-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.distplot(number_1, hist = False,  label=\"R = 320 m\")\n",
    "ax.set_xlabel(\"Number of trees (without zeros)\", fontsize = 12)\n",
    "ax.set_ylabel(\"Frequency of trees on the path\", fontsize = 12)\n",
    "plt.legend()\n",
    "plt.xlim(0)\n",
    "#plt.savefig('number_of_trees_320m_without zeros.png', dpi = 300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 396
    },
    "id": "uXW93t_xa0ED",
    "outputId": "3e5e6b8f-4e8c-4dbf-a46b-d4a7d2007ec0"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/dist-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:6: UserWarning: Attempted to set non-positive left xlim on a log-scaled axis.\n",
      "Invalid limit will be ignored.\n",
      "  \n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.distplot(number_2, hist = False,  label=\"R = 50 m\")\n",
    "ax.set_xlabel(\"Number of trees (without zeros)\", fontsize = 12)\n",
    "ax.set_ylabel(\"Frequency of trees on the path\", fontsize = 12)\n",
    "ax.set_xscale('log')\n",
    "plt.legend()\n",
    "plt.xlim(0)\n",
    "#plt.savefig('number_of_trees_50m_withoutzeros.png', dpi = 300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 296
    },
    "id": "vT-gbbuZlFEX",
    "outputId": "23482d73-ff0d-4b79-f730-7bf92be9720f"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No handles with labels found to put in legend.\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# About this one we can talk to see.........................\n",
    "ax = sns.histplot(x=number_0, kde=True)\n",
    "ax = sns.histplot(x=number_1,kde=True)\n",
    "ax = sns.histplot(x=number_2, kde=True)\n",
    "ax.set_xlabel(\"Number of trees\", fontsize = 8)\n",
    "ax.set_ylabel(\"Frequency of trees on the path\", fontsize = 8)\n",
    "\n",
    "plt.xlim(0, 400)\n",
    "plt.legend()\n",
    "#plt.savefig('number_of_trees_all_three220-3201.png', dpi = 300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 465
    },
    "id": "dK9a2YW68BB6",
    "outputId": "29d595e7-581c-47d9-a255-88f2c778f55c"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/dist-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/usr/local/lib/python3.7/dist-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/usr/local/lib/python3.7/dist-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:14: UserWarning: Attempted to set non-positive left xlim on a log-scaled axis.\n",
      "Invalid limit will be ignored.\n",
      "  \n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "target_0 = number_0 #220 meters\n",
    "target_1 = number_1 #320 meters\n",
    "target_2 = number_2 #50 meters\n",
    "\n",
    "ax = sns.distplot(target_2, hist = False,  label=\"R = 50 meters\", norm_hist=True)\n",
    "ax = sns.distplot(target_0, hist = False, label=\"R = 220 meters\",norm_hist=True)\n",
    "ax = sns.distplot(target_1, hist = False,  label=\"R = 320 meters\", norm_hist=True)\n",
    "\n",
    "\n",
    "ax.set_xlabel(\"Number of trees\", fontsize = 8)\n",
    "ax.set_ylabel(\"Frequency of trees on the path\", fontsize = 8)\n",
    "ax.set_xscale('log')\n",
    "\n",
    "plt.xlim(0, 400)\n",
    "plt.legend()\n",
    "#plt.savefig('number_of_trees_320 and 220.png', dpi = 300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 206
    },
    "id": "obXUR8ZJQNIM",
    "outputId": "3b763a85-cfb4-497f-dace-aed1f2475932"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "  <div id=\"df-c794205b-8a9a-4c8d-a4fd-2c649b0e549c\">\n",
       "    <div class=\"colab-df-container\">\n",
       "      <div>\n",
       "<style scoped>\n",
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       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tripIndex</th>\n",
       "      <th>number_trees</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>40</td>\n",
       "      <td>272</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>51</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>53</td>\n",
       "      <td>2248</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>59</td>\n",
       "      <td>1564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>60</td>\n",
       "      <td>1511</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-c794205b-8a9a-4c8d-a4fd-2c649b0e549c')\"\n",
       "              title=\"Convert this dataframe to an interactive table.\"\n",
       "              style=\"display:none;\">\n",
       "        \n",
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       "      \n",
       "  <style>\n",
       "    .colab-df-container {\n",
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       "      gap: 12px;\n",
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       "\n",
       "    .colab-df-convert {\n",
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       "      border: none;\n",
       "      border-radius: 50%;\n",
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       "\n",
       "    .colab-df-convert:hover {\n",
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       "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
       "      fill: #174EA6;\n",
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       "\n",
       "    [theme=dark] .colab-df-convert {\n",
       "      background-color: #3B4455;\n",
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       "\n",
       "    [theme=dark] .colab-df-convert:hover {\n",
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       "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
       "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
       "      fill: #FFFFFF;\n",
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       "  </style>\n",
       "\n",
       "      <script>\n",
       "        const buttonEl =\n",
       "          document.querySelector('#df-c794205b-8a9a-4c8d-a4fd-2c649b0e549c button.colab-df-convert');\n",
       "        buttonEl.style.display =\n",
       "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
       "\n",
       "        async function convertToInteractive(key) {\n",
       "          const element = document.querySelector('#df-c794205b-8a9a-4c8d-a4fd-2c649b0e549c');\n",
       "          const dataTable =\n",
       "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
       "                                                     [key], {});\n",
       "          if (!dataTable) return;\n",
       "\n",
       "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
       "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
       "            + ' to learn more about interactive tables.';\n",
       "          element.innerHTML = '';\n",
       "          dataTable['output_type'] = 'display_data';\n",
       "          await google.colab.output.renderOutput(dataTable, element);\n",
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       "          docLink.innerHTML = docLinkHtml;\n",
       "          element.appendChild(docLink);\n",
       "        }\n",
       "      </script>\n",
       "    </div>\n",
       "  </div>\n",
       "  "
      ],
      "text/plain": [
       "   tripIndex  number_trees\n",
       "0         40           272\n",
       "1         51             0\n",
       "2         53          2248\n",
       "3         59          1564\n",
       "4         60          1511"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Makin two data frames with number of trees and the other one with time and merging them for plot. \n",
    "\n",
    "# tree_each_trip : the number of trees per each tripINDEX\n",
    "\n",
    "tree_each_trip = all_tj.groupby(by= all_tj['tripIndex'])['number_trees'].sum()\n",
    "tree_each_trip = tree_each_trip.reset_index()\n",
    "tree_each_trip = tree_each_trip.sort_values('tripIndex')\n",
    "tree_each_trip.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "DgSPPyV0T2i3"
   },
   "outputs": [],
   "source": [
    "tree_each_trip_no_zero = tree_each_trip.loc[tree_each_trip['number_trees'] > 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 415
    },
    "id": "GQz1YhQhxqXD",
    "outputId": "cf479a5f-db1a-4c95-fecc-93d1732c6575"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/dist-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "No handles with labels found to put in legend.\n",
      "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:6: UserWarning: Attempted to set non-positive left xlim on a log-scaled axis.\n",
      "Invalid limit will be ignored.\n",
      "  \n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.distplot(tree_each_trip_no_zero['number_trees'], hist = False)\n",
    "ax.set_xlabel(\"Number of trees\", fontsize = 12)\n",
    "ax.set_ylabel(\"Frequency of trees on each trip\", fontsize = 12)\n",
    "ax.set_xscale('log')\n",
    "plt.legend()\n",
    "plt.xlim(0)\n",
    "plt.savefig('number_of_trees_each_trip_logscale_no_zeros.png', dpi = 300,bbox_inches=\"tight\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "8eyItMZkQNF2"
   },
   "outputs": [],
   "source": [
    "# for creating a new dataframe with correct timing\n",
    "# because in the dataset each trip whole time is actually the last time in the last row of the tripIndex. So...\n",
    "trip_time = {}\n",
    "for i, row in all_tj.iterrows():\n",
    "    if i != 0 and all_tj['tripIndex'][i] != all_tj['tripIndex'][i - 1]:\n",
    "      trip_time[all_tj['tripIndex'][i -1]] = all_tj['time'][i - 1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 206
    },
    "id": "yoF-0s8TQNDm",
    "outputId": "84c9598c-99bd-4f71-faca-67156e1cf59f"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
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       "                                                     [key], {});\n",
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       "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
       "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
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       "  </div>\n",
       "  "
      ],
      "text/plain": [
       "       tripIndex  time\n",
       "25070         40  2976\n",
       "12227         51  2094\n",
       "2234          53  1763\n",
       "11425         59  2881\n",
       "16605         60  1200"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "time_and_trip = pd.DataFrame.from_dict(trip_time, orient=\"index\").reset_index()\n",
    "time_and_trip.columns = ['tripIndex', 'time']\n",
    "time_and_trip = time_and_trip.sort_values('tripIndex')\n",
    "time_and_trip.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 335
    },
    "id": "kGHkPjSNtM4-",
    "outputId": "adc0aae1-0e7d-4491-f7c2-89bb0854006e"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/dist-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.distplot(time_and_trip['time'], hist = False)\n",
    "#ax.set_xlabel('Time', fontsize = 10)\n",
    "#ax.set_ylabel(\"Frequency of time spent on trips\", fontsize = 10)\n",
    "#plt.legend()\n",
    "plt.xlim(0)\n",
    "#plt.savefig('time spent on trips.png', dpi = 300,bbox_inches=\"tight\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 279
    },
    "id": "AyzUREsRv8iv",
    "outputId": "5f3c1015-4ab9-44c7-d452-e92fb890dc09"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.histplot(x = time_and_trip['time'], kde=True)\n",
    "#ax.set_xlabel('Time', fontsize = 10)\n",
    "#ax.set_ylabel(\"Frequency of time spent on trips\", fontsize = 10)\n",
    "#plt.legend()\n",
    "plt.xlim(0)\n",
    "#plt.savefig('time spent on trips11.png', dpi = 300,bbox_inches=\"tight\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
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     "height": 206
    },
    "id": "eLZtiv5ajLjs",
    "outputId": "e62a2bb4-91be-42f7-e919-a244775cd998"
   },
   "outputs": [
    {
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       "      <th>tripIndex</th>\n",
       "      <th>distance_km</th>\n",
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       "  </thead>\n",
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       "      <td>40</td>\n",
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      ],
      "text/plain": [
       "   tripIndex  distance_km\n",
       "0         40     0.882902\n",
       "1         51     2.574329\n",
       "2         53     3.943713\n",
       "3         59     3.383147\n",
       "4         60     2.435823"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dist_each_trip = all_tj.groupby(by= all_tj['tripIndex'])['distance_km'].sum()\n",
    "dist_each_trip = dist_each_trip.reset_index()\n",
    "dist_each_trip = dist_each_trip.sort_values('tripIndex')\n",
    "dist_each_trip.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 393
    },
    "id": "xVREuvT7kmac",
    "outputId": "ed08b535-bfa5-42b0-b367-4a9134f5666d"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/dist-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:6: UserWarning: Attempted to set non-positive left xlim on a log-scaled axis.\n",
      "Invalid limit will be ignored.\n",
      "  \n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.distplot(dist_each_trip['distance_km'], hist = False)\n",
    "ax.set_xlabel('Time', fontsize = 10)\n",
    "ax.set_ylabel(\"Frequency of distance spent on trips\", fontsize = 10)\n",
    "#plt.legend()\n",
    "ax.set_xscale('log')\n",
    "plt.xlim(0)\n",
    "#plt.savefig('distribution of distance in trips.png', dpi = 300,bbox_inches=\"tight\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "qc3TI_cgQNA3"
   },
   "outputs": [],
   "source": [
    "dfs = [tree_each_trip, time_and_trip, dist_each_trip]\n",
    "import functools as ft\n",
    "green_index_df = ft.reduce(lambda left, right: pd.merge(left, right, on='tripIndex'), dfs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "lujEKGiGrFw8"
   },
   "outputs": [],
   "source": [
    "# the number of trees without zeros. \n",
    "green_index_df = green_index_df[green_index_df['number_trees'] > 5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "9IcONGa-lHsB"
   },
   "outputs": [],
   "source": [
    "green_index_df[\"greenIndex_time\"] = green_index_df['number_trees'] / green_index_df['time']\n",
    "green_index_df[\"greenIndex_distance\"] = green_index_df['number_trees'] / green_index_df['distance_km']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "GCdNmdepnJgZ"
   },
   "outputs": [],
   "source": [
    "green_index_df = green_index_df[green_index_df['greenIndex_time'] != 0]\n",
    "green_index_df = green_index_df[green_index_df['greenIndex_distance'] != 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 206
    },
    "id": "6XwDP_kWU4_G",
    "outputId": "8d5b743f-13df-4411-e082-5801b4a0a015"
   },
   "outputs": [
    {
     "data": {
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       "  </div>\n",
       "  "
      ],
      "text/plain": [
       "   tripIndex  number_trees  time  distance_km  greenIndex_time  \\\n",
       "0         40           272  2976     0.882902         0.091398   \n",
       "2         53          2248  1763     3.943713         1.275099   \n",
       "3         59          1564  2881     3.383147         0.542867   \n",
       "4         60          1511  1200     2.435823         1.259167   \n",
       "5         85           142   600     0.889538         0.236667   \n",
       "\n",
       "   greenIndex_distance  \n",
       "0           308.074794  \n",
       "2           570.021245  \n",
       "3           462.291459  \n",
       "4           620.324168  \n",
       "5           159.633354  "
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "green_index_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "fmSgP-YQfodI",
    "outputId": "8843f1bd-77eb-45d7-c7d8-193414110bf5"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean of GreenIndex of time is: \n",
      "0.7595672870912482\n",
      "Mean of GreenIndex of distance is: \n",
      "634.9218691726605\n"
     ]
    }
   ],
   "source": [
    "print(\"Mean of GreenIndex of time is: \")\n",
    "print(green_index_df['greenIndex_time'].mean())\n",
    "print(\"Mean of GreenIndex of distance is: \")\n",
    "print(green_index_df['greenIndex_distance'].mean())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 443
    },
    "id": "1gxKHCENQM-T",
    "outputId": "c1dff6bb-aba7-4fb5-c106-f70c213f1b9d"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:2: UserWarning: Attempted to set non-positive left xlim on a log-scaled axis.\n",
      "Invalid limit will be ignored.\n",
      "  \n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.displot(data = green_index_df['greenIndex_time'], bins = 30, log_scale=True)\n",
    "plt.xlim(0, 400)\n",
    "#plt.savefig('green_index_time.png', dpi = 300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "JhKj4R_ll9Vy"
   },
   "outputs": [],
   "source": [
    "green_index_df = green_index_df[np.isfinite(green_index_df['greenIndex_distance'])]\n",
    "green_index_df = green_index_df[green_index_df['greenIndex_distance'] != 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 443
    },
    "id": "Udk9SlCZlb-2",
    "outputId": "fcdd43ec-711d-4049-a02e-8423192e3174"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:2: UserWarning: Attempted to set non-positive left xlim on a log-scaled axis.\n",
      "Invalid limit will be ignored.\n",
      "  \n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.displot(data = green_index_df['greenIndex_distance'], bins = 30, log_scale=True)\n",
    "plt.xlim(0)\n",
    "#plt.savefig('green_index_distance.png', dpi = 300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 301
    },
    "id": "7-RTjgBJRftz",
    "outputId": "a16fb2d6-1ed9-4fe5-e2f6-336498bea8d7"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(data = green_index_df, x = 'time', y = 'number_trees')\n",
    "plt.title('Length of trips and number of trees in each trip', fontsize = 16)\n",
    "# Set x-axis label\n",
    "plt.xlabel('Time', fontsize = 14)\n",
    "# Set y-axis label\n",
    "plt.ylabel('Number of Trees', fontsize = 14)\n",
    "#plt.savefig('scatterplot2.png', dpi = 100)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "background_save": true
    },
    "id": "90Sa0GExqKBy"
   },
   "outputs": [],
   "source": [
    "# Gather all tripIndexes with greenIndex higher than mean, into a list. ex [#1, #32, #9894,...]\n",
    "# Then with tripIndexes we should go through all_tj dataset to take all the lat and lon of these trips.\n",
    "# Then we should make for each tripIndex, a coord which is a matrix of [[lat, lon][1], [lat, lon][2], ...]\n",
    "# Then We can plot it in folium. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 336
    },
    "id": "pJI_KEITgsyN",
    "outputId": "6284ba3e-3ec2-4e38-ad74-3a6a46dc5485"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/dist-packages/seaborn/distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.distplot(green_index_df['number_trees'], hist = False)\n",
    "plt.xlim(0)\n",
    "#plt.savefig('number_trees_distribution per trip.png', dpi = 300)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "Fq8ZRcufp017",
    "outputId": "eea4b2a7-d88a-46fe-a8dd-8d9ac511fc97"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 7513 entries, 2 to 30508\n",
      "Data columns (total 6 columns):\n",
      " #   Column               Non-Null Count  Dtype  \n",
      "---  ------               --------------  -----  \n",
      " 0   tripIndex            7513 non-null   int64  \n",
      " 1   number_trees         7513 non-null   int64  \n",
      " 2   time                 7513 non-null   int64  \n",
      " 3   distance_km          7513 non-null   float64\n",
      " 4   greenIndex_time      7513 non-null   float64\n",
      " 5   greenIndex_distance  7513 non-null   float64\n",
      "dtypes: float64(3), int64(3)\n",
      "memory usage: 410.9 KB\n"
     ]
    }
   ],
   "source": [
    "green_trips_time = green_index_df[green_index_df['greenIndex_time'] > green_index_df['greenIndex_time'].mean()]\n",
    "green_trips_time.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "gAyNgq0AqSHw",
    "outputId": "4532f9bd-d01d-447d-9211-0227b37e4445"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 9312 entries, 6 to 30515\n",
      "Data columns (total 6 columns):\n",
      " #   Column               Non-Null Count  Dtype  \n",
      "---  ------               --------------  -----  \n",
      " 0   tripIndex            9312 non-null   int64  \n",
      " 1   number_trees         9312 non-null   int64  \n",
      " 2   time                 9312 non-null   int64  \n",
      " 3   distance_km          9312 non-null   float64\n",
      " 4   greenIndex_time      9312 non-null   float64\n",
      " 5   greenIndex_distance  9312 non-null   float64\n",
      "dtypes: float64(3), int64(3)\n",
      "memory usage: 509.2 KB\n"
     ]
    }
   ],
   "source": [
    "green_trips_distance = green_index_df[green_index_df['greenIndex_distance'] > green_index_df['greenIndex_distance'].mean()]\n",
    "green_trips_distance.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "uaDvRMbieDhv"
   },
   "outputs": [],
   "source": [
    "q = green_index_df[\"greenIndex_time\"].quantile(0.99)\n",
    "q1 = green_index_df['number_trees'].quantile(0.99)\n",
    "p = green_index_df[\"time\"].quantile(0.99)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "aeN1Al6efO01",
    "outputId": "2b299590-a8e4-4963-a4ad-0510a48e5dfc"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 239 entries, 34 to 30404\n",
      "Data columns (total 6 columns):\n",
      " #   Column               Non-Null Count  Dtype  \n",
      "---  ------               --------------  -----  \n",
      " 0   tripIndex            239 non-null    int64  \n",
      " 1   number_trees         239 non-null    int64  \n",
      " 2   time                 239 non-null    int64  \n",
      " 3   distance_km          239 non-null    float64\n",
      " 4   greenIndex_time      239 non-null    float64\n",
      " 5   greenIndex_distance  239 non-null    float64\n",
      "dtypes: float64(3), int64(3)\n",
      "memory usage: 13.1 KB\n"
     ]
    }
   ],
   "source": [
    "# Making a df including outliers based in the number of trees\n",
    "outliers_df = green_index_df[green_index_df[\"greenIndex_time\"] > q]\n",
    "outliers_df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "WU9052rXU84u"
   },
   "outputs": [],
   "source": [
    "new_one_without_outliers = green_index_df[green_index_df[\"number_trees\"] < q1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "Mzpjg61xVP4N",
    "outputId": "83197df2-c9ab-4837-ea98-429b7c78e94a"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n",
      "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:11: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  # This is added back by InteractiveShellApp.init_path()\n",
      "/usr/local/lib/python3.7/dist-packages/pandas/core/indexing.py:1732: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  self._setitem_single_block(indexer, value, name)\n",
      "/usr/local/lib/python3.7/dist-packages/pandas/core/series.py:1056: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  cacher_needs_updating = self._check_is_chained_assignment_possible()\n"
     ]
    }
   ],
   "source": [
    "new_one_without_outliers['Range_of_time'] = pd.Series(dtype='float')\n",
    "\n",
    "for i, row in new_one_without_outliers.iterrows():\n",
    "    if new_one_without_outliers['time'][i] < 900:\n",
    "        new_one_without_outliers['Range_of_time'][i] = \"<0-15> mins\"\n",
    "    elif (new_one_without_outliers['time'][i] > 900) & (new_one_without_outliers['time'][i] < 1800):\n",
    "        new_one_without_outliers['Range_of_time'][i] = \"<15-30> mins\"\n",
    "    elif (new_one_without_outliers['time'][i] > 1800) & (new_one_without_outliers['time'][i] < 2700):\n",
    "        new_one_without_outliers['Range_of_time'][i] = \"<30-45> mins\"\n",
    "    else:\n",
    "      new_one_without_outliers['Range_of_time'][i] = \"<45-60> mins\"  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 501
    },
    "id": "FHhigbExVcR3",
    "outputId": "224bb8c6-6e2c-4c47-9447-9436ee9c1193"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 8))\n",
    "ax = sns.boxplot(x='Range_of_time',y='number_trees',data=new_one_without_outliers, palette=\"summer\", order=[\"<45-60> mins\", \"<30-45> mins\", \"<15-30> mins\", \"<0-15> mins\"])\n",
    "ax.set_xlabel('Time Range', fontsize= 14)\n",
    "ax.set_ylabel('Number of trees', fontsize= 14)\n",
    "\n",
    "#plt.savefig('Boxplot_without_outlier.png', dpi = 300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "XSPWe5MjKGI2"
   },
   "source": [
    "## Plotting some trips including the longest trip and outliers in the map (It is not done yet)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "1w0JmW-NcwRO"
   },
   "outputs": [],
   "source": [
    "from branca.element import Figure"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 571
    },
    "id": "brEJnUNbcblo",
    "outputId": "082ae1fe-b0fd-4e93-a8d4-8ee0e51babb7"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<iframe srcdoc=\"&lt;!DOCTYPE html&gt;\n",
       "&lt;head&gt;    \n",
       "    &lt;meta http-equiv=&quot;content-type&quot; content=&quot;text/html; charset=UTF-8&quot; /&gt;\n",
       "    &lt;script&gt;L_PREFER_CANVAS=false; L_NO_TOUCH=false; L_DISABLE_3D=false;&lt;/script&gt;\n",
       "    &lt;script src=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.4.0/dist/leaflet.js&quot;&gt;&lt;/script&gt;\n",
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      ],
      "text/plain": [
       "<branca.element.Figure at 0x7f6f40a39a50>"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig = Figure(height=550,width=750)\n",
    "map1 = folium.Map(location=[all_tj.lat.mean(), all_tj.lon.mean()], control_scale=True)\n",
    "fig.add_child(map1)"
   ]
  },
  {
   "cell_type": "code",
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    "colab": {
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     "height": 135
    },
    "id": "xLSYPBQQ0YPQ",
    "outputId": "9bd9b73e-decc-4cf3-b16e-176d446d1395"
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The mean of the distances are: \n",
      "1.8642962193864203\n",
      "Trips longer than 20 km:  \n"
     ]
    },
    {
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       "       tripIndex  number_trees  time  distance_km  greenIndex_time  \\\n",
       "17224     256135         24738   842     51.28402        29.380048   \n",
       "\n",
       "       greenIndex_distance  \n",
       "17224           482.372477  "
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Finding the long trips\n",
    "print(\"The mean of the distances are: \")\n",
    "print(green_index_df['distance_km'].mean())\n",
    "print(\"Trips longer than 20 km:  \")\n",
    "green_index_df[green_index_df['distance_km'] > 20]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "9SXvh60N0FKU"
   },
   "outputs": [],
   "source": [
    "# The longest trip\n",
    "#all_tj[all_tj['tripIndex'] == 256135]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "sjW7sA27fP5P"
   },
   "outputs": [],
   "source": [
    "# Converting the column into list to have a list of the tripIndexes that are outliers. There are 239 trips\n",
    "outliers_tripIndex = outliers_df['tripIndex'].tolist()\n",
    "#outliers_tripIndex1 for testing. Because the loop takes a lot of time. \n",
    "outliers_tripIndex1 = [492, 29611]\n",
    "\n",
    "longest_trip = [256135]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "gXjsBggGjaii"
   },
   "outputs": [],
   "source": [
    "# 239 tripIndexes of outliers...\n",
    "#outliers_tripIndex"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "background_save": true
    },
    "id": "DGMHp5DyUfCt"
   },
   "outputs": [],
   "source": [
    "'''trip_index_lat_lon = {}\n",
    "for i, row in all_tj.iterrows():\n",
    "  for x in outliers_tripIndex5:\n",
    "    if all_tj['tripIndex'][i] == x:\n",
    "      trip_index_lat_lon[x] = all_tj['lat-lon'][i]'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "p3h8d4wdlpl1"
   },
   "outputs": [],
   "source": [
    "for i in range(len(outliers_tripIndex1)):\n",
    "  print(i)\n",
    "  df_green = df[df['tripIndex'] == li[i]]\n",
    "    return df_green"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 72
    },
    "id": "kV16WJHU0q_h",
    "outputId": "798ccd9b-3ef2-4512-9cc4-bf71cfdb3c95"
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    {
     "data": {
      "application/vnd.google.colaboratory.intrinsic+json": {
       "type": "string"
      },
      "text/plain": [
       "'trip_latlon_1 = finding_the_trip(all_tj,outliers_tripIndex1)\\ntrip_latlon_2 = finding_the_trip(all_tj,outliers_tripIndex2)\\ntrip_latlon_3 = finding_the_trip(all_tj,outliers_tripIndex3)\\ntrip_latlon_4 = finding_the_trip(all_tj,outliers_tripIndex4)\\ntrip_latlon_5 = finding_the_trip(all_tj,outliers_tripIndex5)'"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Defining a function to gather all the lat and lon of the trip (all stops)\n",
    "'''def finding_the_trip(df, li):\n",
    "  new_li = []\n",
    "  for x in li:\n",
    "    new_li.append(df[df.tripIndex == x])\n",
    "  new_df = pd.DataFrame(new_li, columns=['tripIndex','lat','lon','time','lat-lon','lat_next','lon_next','distance_km','distance_minutes','number_trees'])\n",
    "  return new_df '''\n",
    "\n",
    "'''def finding_the_trip(df, li):\n",
    "  for x in li:\n",
    "    return df[df['tripIndex'] == x]'''\n",
    "\n",
    "def finding_the_trip(df, li):\n",
    "  for i in range(len(li)):\n",
    "    df_green = df[df['tripIndex'] == li[i]]\n",
    "    return df_green\n",
    "\n",
    "\n",
    "trip_lat_lon = finding_the_trip(all_tj,outliers_tripIndex)\n",
    "'''trip_latlon_1 = finding_the_trip(all_tj,outliers_tripIndex1)\n",
    "trip_latlon_2 = finding_the_trip(all_tj,outliers_tripIndex2)\n",
    "trip_latlon_3 = finding_the_trip(all_tj,outliers_tripIndex3)\n",
    "trip_latlon_4 = finding_the_trip(all_tj,outliers_tripIndex4)\n",
    "trip_latlon_5 = finding_the_trip(all_tj,outliers_tripIndex5)'''"
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    "id": "x2Fc4TGDZ8GF",
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       "      <td>(41.92236874749873, 12.492608361458094)</td>\n",
       "      <td>41.923026</td>\n",
       "      <td>12.493459</td>\n",
       "      <td>0.101545</td>\n",
       "      <td>0.001075</td>\n",
       "      <td>161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80705</th>\n",
       "      <td>492</td>\n",
       "      <td>41.923026</td>\n",
       "      <td>12.493459</td>\n",
       "      <td>481</td>\n",
       "      <td>(41.923026396257896, 12.493458724802656)</td>\n",
       "      <td>41.921596</td>\n",
       "      <td>12.492228</td>\n",
       "      <td>0.188818</td>\n",
       "      <td>0.001887</td>\n",
       "      <td>141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80706</th>\n",
       "      <td>492</td>\n",
       "      <td>41.921596</td>\n",
       "      <td>12.492228</td>\n",
       "      <td>1136</td>\n",
       "      <td>(41.92159625930836, 12.492228176701436)</td>\n",
       "      <td>41.922298</td>\n",
       "      <td>12.492842</td>\n",
       "      <td>0.093076</td>\n",
       "      <td>0.000932</td>\n",
       "      <td>179</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80707</th>\n",
       "      <td>492</td>\n",
       "      <td>41.922298</td>\n",
       "      <td>12.492842</td>\n",
       "      <td>1136</td>\n",
       "      <td>(41.922297575366926, 12.49284231516272)</td>\n",
       "      <td>41.923301</td>\n",
       "      <td>12.493413</td>\n",
       "      <td>0.121116</td>\n",
       "      <td>0.001155</td>\n",
       "      <td>156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80708</th>\n",
       "      <td>492</td>\n",
       "      <td>41.923301</td>\n",
       "      <td>12.493413</td>\n",
       "      <td>1149</td>\n",
       "      <td>(41.92330127054437, 12.493412967573438)</td>\n",
       "      <td>41.923742</td>\n",
       "      <td>12.492578</td>\n",
       "      <td>0.084810</td>\n",
       "      <td>0.000944</td>\n",
       "      <td>136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80709</th>\n",
       "      <td>492</td>\n",
       "      <td>41.923742</td>\n",
       "      <td>12.492578</td>\n",
       "      <td>1161</td>\n",
       "      <td>(41.923742217904085, 12.492578256270203)</td>\n",
       "      <td>41.919248</td>\n",
       "      <td>12.495934</td>\n",
       "      <td>0.571533</td>\n",
       "      <td>0.005609</td>\n",
       "      <td>145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80710</th>\n",
       "      <td>492</td>\n",
       "      <td>41.919248</td>\n",
       "      <td>12.495934</td>\n",
       "      <td>1190</td>\n",
       "      <td>(41.91924800423423, 12.49593357858109)</td>\n",
       "      <td>41.922070</td>\n",
       "      <td>12.492591</td>\n",
       "      <td>0.418519</td>\n",
       "      <td>0.004375</td>\n",
       "      <td>137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80711</th>\n",
       "      <td>492</td>\n",
       "      <td>41.922070</td>\n",
       "      <td>12.492591</td>\n",
       "      <td>1190</td>\n",
       "      <td>(41.92207046848458, 12.492591120578249)</td>\n",
       "      <td>41.922661</td>\n",
       "      <td>12.493201</td>\n",
       "      <td>0.082834</td>\n",
       "      <td>0.000849</td>\n",
       "      <td>163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80712</th>\n",
       "      <td>492</td>\n",
       "      <td>41.922661</td>\n",
       "      <td>12.493201</td>\n",
       "      <td>1197</td>\n",
       "      <td>(41.922660958939616, 12.493201048666265)</td>\n",
       "      <td>41.920897</td>\n",
       "      <td>12.490331</td>\n",
       "      <td>0.308355</td>\n",
       "      <td>0.003369</td>\n",
       "      <td>145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80713</th>\n",
       "      <td>492</td>\n",
       "      <td>41.920897</td>\n",
       "      <td>12.490331</td>\n",
       "      <td>1216</td>\n",
       "      <td>(41.92089680144182, 12.490330839207584)</td>\n",
       "      <td>41.924478</td>\n",
       "      <td>12.492588</td>\n",
       "      <td>0.439681</td>\n",
       "      <td>0.004234</td>\n",
       "      <td>243</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80714</th>\n",
       "      <td>492</td>\n",
       "      <td>41.924478</td>\n",
       "      <td>12.492588</td>\n",
       "      <td>1216</td>\n",
       "      <td>(41.92447839021168, 12.492588238137865)</td>\n",
       "      <td>41.921480</td>\n",
       "      <td>12.493950</td>\n",
       "      <td>0.351616</td>\n",
       "      <td>0.003293</td>\n",
       "      <td>145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80715</th>\n",
       "      <td>492</td>\n",
       "      <td>41.921480</td>\n",
       "      <td>12.493950</td>\n",
       "      <td>1231</td>\n",
       "      <td>(41.92148041906319, 12.493949557291996)</td>\n",
       "      <td>41.921323</td>\n",
       "      <td>12.492814</td>\n",
       "      <td>0.095805</td>\n",
       "      <td>0.001146</td>\n",
       "      <td>126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80716</th>\n",
       "      <td>492</td>\n",
       "      <td>41.921323</td>\n",
       "      <td>12.492814</td>\n",
       "      <td>1262</td>\n",
       "      <td>(41.92132257488065, 12.492814125034576)</td>\n",
       "      <td>41.921849</td>\n",
       "      <td>12.494076</td>\n",
       "      <td>0.119852</td>\n",
       "      <td>0.001367</td>\n",
       "      <td>164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80717</th>\n",
       "      <td>492</td>\n",
       "      <td>41.921849</td>\n",
       "      <td>12.494076</td>\n",
       "      <td>1265</td>\n",
       "      <td>(41.921848603184, 12.494075639971712)</td>\n",
       "      <td>41.920014</td>\n",
       "      <td>12.493825</td>\n",
       "      <td>0.204792</td>\n",
       "      <td>0.001851</td>\n",
       "      <td>123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80718</th>\n",
       "      <td>492</td>\n",
       "      <td>41.920014</td>\n",
       "      <td>12.493825</td>\n",
       "      <td>1284</td>\n",
       "      <td>(41.92001437787557, 12.493824591132284)</td>\n",
       "      <td>41.922737</td>\n",
       "      <td>12.492486</td>\n",
       "      <td>0.322184</td>\n",
       "      <td>0.003034</td>\n",
       "      <td>134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80719</th>\n",
       "      <td>492</td>\n",
       "      <td>41.922737</td>\n",
       "      <td>12.492486</td>\n",
       "      <td>1297</td>\n",
       "      <td>(41.922737395859, 12.492486193959373)</td>\n",
       "      <td>41.920337</td>\n",
       "      <td>12.492693</td>\n",
       "      <td>0.267143</td>\n",
       "      <td>0.002409</td>\n",
       "      <td>160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80720</th>\n",
       "      <td>492</td>\n",
       "      <td>41.920337</td>\n",
       "      <td>12.492693</td>\n",
       "      <td>1310</td>\n",
       "      <td>(41.920337222997176, 12.492693060795636)</td>\n",
       "      <td>41.922097</td>\n",
       "      <td>12.490842</td>\n",
       "      <td>0.248566</td>\n",
       "      <td>0.002554</td>\n",
       "      <td>180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80721</th>\n",
       "      <td>492</td>\n",
       "      <td>41.922097</td>\n",
       "      <td>12.490842</td>\n",
       "      <td>1311</td>\n",
       "      <td>(41.92209712549799, 12.490842128535188)</td>\n",
       "      <td>41.921268</td>\n",
       "      <td>12.490116</td>\n",
       "      <td>0.110066</td>\n",
       "      <td>0.001102</td>\n",
       "      <td>221</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80722</th>\n",
       "      <td>492</td>\n",
       "      <td>41.921268</td>\n",
       "      <td>12.490116</td>\n",
       "      <td>1326</td>\n",
       "      <td>(41.92126771165978, 12.490116051211563)</td>\n",
       "      <td>41.921660</td>\n",
       "      <td>12.491436</td>\n",
       "      <td>0.117875</td>\n",
       "      <td>0.001377</td>\n",
       "      <td>255</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80723</th>\n",
       "      <td>492</td>\n",
       "      <td>41.921660</td>\n",
       "      <td>12.491436</td>\n",
       "      <td>1326</td>\n",
       "      <td>(41.92166017799169, 12.491436309000454)</td>\n",
       "      <td>41.921845</td>\n",
       "      <td>12.493943</td>\n",
       "      <td>0.208960</td>\n",
       "      <td>0.002514</td>\n",
       "      <td>214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80724</th>\n",
       "      <td>492</td>\n",
       "      <td>41.921845</td>\n",
       "      <td>12.493943</td>\n",
       "      <td>1335</td>\n",
       "      <td>(41.92184466890175, 12.493943205338535)</td>\n",
       "      <td>41.921918</td>\n",
       "      <td>12.493580</td>\n",
       "      <td>0.031219</td>\n",
       "      <td>0.000371</td>\n",
       "      <td>136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80725</th>\n",
       "      <td>492</td>\n",
       "      <td>41.921918</td>\n",
       "      <td>12.493580</td>\n",
       "      <td>1345</td>\n",
       "      <td>(41.92191828991559, 12.493579996837214)</td>\n",
       "      <td>41.924644</td>\n",
       "      <td>12.492248</td>\n",
       "      <td>0.322238</td>\n",
       "      <td>0.003033</td>\n",
       "      <td>138</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80726</th>\n",
       "      <td>492</td>\n",
       "      <td>41.924644</td>\n",
       "      <td>12.492248</td>\n",
       "      <td>1356</td>\n",
       "      <td>(41.9246435886332, 12.492248019447992)</td>\n",
       "      <td>41.923917</td>\n",
       "      <td>12.493121</td>\n",
       "      <td>0.108450</td>\n",
       "      <td>0.001136</td>\n",
       "      <td>149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80727</th>\n",
       "      <td>492</td>\n",
       "      <td>41.923917</td>\n",
       "      <td>12.493121</td>\n",
       "      <td>1376</td>\n",
       "      <td>(41.92391695438263, 12.493121333648949)</td>\n",
       "      <td>41.923854</td>\n",
       "      <td>12.492321</td>\n",
       "      <td>0.066718</td>\n",
       "      <td>0.000802</td>\n",
       "      <td>131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80728</th>\n",
       "      <td>492</td>\n",
       "      <td>41.923854</td>\n",
       "      <td>12.492321</td>\n",
       "      <td>1418</td>\n",
       "      <td>(41.923853646601145, 12.492321487867851)</td>\n",
       "      <td>41.922819</td>\n",
       "      <td>12.491260</td>\n",
       "      <td>0.144834</td>\n",
       "      <td>0.001483</td>\n",
       "      <td>149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80729</th>\n",
       "      <td>492</td>\n",
       "      <td>41.922819</td>\n",
       "      <td>12.491260</td>\n",
       "      <td>1420</td>\n",
       "      <td>(41.92281854003285, 12.491259615531195)</td>\n",
       "      <td>41.921670</td>\n",
       "      <td>12.492110</td>\n",
       "      <td>0.145730</td>\n",
       "      <td>0.001429</td>\n",
       "      <td>190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80730</th>\n",
       "      <td>492</td>\n",
       "      <td>41.921670</td>\n",
       "      <td>12.492110</td>\n",
       "      <td>1420</td>\n",
       "      <td>(41.92167045492399, 12.492110000791405)</td>\n",
       "      <td>41.923324</td>\n",
       "      <td>12.494059</td>\n",
       "      <td>0.244705</td>\n",
       "      <td>0.002556</td>\n",
       "      <td>184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80731</th>\n",
       "      <td>492</td>\n",
       "      <td>41.923324</td>\n",
       "      <td>12.494059</td>\n",
       "      <td>1431</td>\n",
       "      <td>(41.92332412644977, 12.494059216450454)</td>\n",
       "      <td>41.922297</td>\n",
       "      <td>12.491065</td>\n",
       "      <td>0.273295</td>\n",
       "      <td>0.003165</td>\n",
       "      <td>136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80732</th>\n",
       "      <td>492</td>\n",
       "      <td>41.922297</td>\n",
       "      <td>12.491065</td>\n",
       "      <td>1454</td>\n",
       "      <td>(41.9222969515284, 12.491065379028136)</td>\n",
       "      <td>41.921939</td>\n",
       "      <td>12.491801</td>\n",
       "      <td>0.072850</td>\n",
       "      <td>0.000818</td>\n",
       "      <td>206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80733</th>\n",
       "      <td>492</td>\n",
       "      <td>41.921939</td>\n",
       "      <td>12.491801</td>\n",
       "      <td>1455</td>\n",
       "      <td>(41.92193881820493, 12.4918011262783)</td>\n",
       "      <td>41.921415</td>\n",
       "      <td>12.492729</td>\n",
       "      <td>0.096521</td>\n",
       "      <td>0.001066</td>\n",
       "      <td>192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80734</th>\n",
       "      <td>492</td>\n",
       "      <td>41.921415</td>\n",
       "      <td>12.492729</td>\n",
       "      <td>1490</td>\n",
       "      <td>(41.92141455179769, 12.49272908493451)</td>\n",
       "      <td>41.922148</td>\n",
       "      <td>12.493448</td>\n",
       "      <td>0.100999</td>\n",
       "      <td>0.001027</td>\n",
       "      <td>165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80735</th>\n",
       "      <td>492</td>\n",
       "      <td>41.922148</td>\n",
       "      <td>12.493448</td>\n",
       "      <td>1491</td>\n",
       "      <td>(41.92214826248578, 12.493448315020636)</td>\n",
       "      <td>41.922053</td>\n",
       "      <td>12.490895</td>\n",
       "      <td>0.212108</td>\n",
       "      <td>0.002556</td>\n",
       "      <td>143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80736</th>\n",
       "      <td>492</td>\n",
       "      <td>41.922053</td>\n",
       "      <td>12.490895</td>\n",
       "      <td>1504</td>\n",
       "      <td>(41.922052614640336, 12.490894524663384)</td>\n",
       "      <td>41.921830</td>\n",
       "      <td>12.493175</td>\n",
       "      <td>0.190794</td>\n",
       "      <td>0.002292</td>\n",
       "      <td>218</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80737</th>\n",
       "      <td>492</td>\n",
       "      <td>41.921830</td>\n",
       "      <td>12.493175</td>\n",
       "      <td>1520</td>\n",
       "      <td>(41.92183046274327, 12.493175265703371)</td>\n",
       "      <td>41.921622</td>\n",
       "      <td>12.491969</td>\n",
       "      <td>0.102713</td>\n",
       "      <td>0.001224</td>\n",
       "      <td>149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80738</th>\n",
       "      <td>492</td>\n",
       "      <td>41.921622</td>\n",
       "      <td>12.491969</td>\n",
       "      <td>1536</td>\n",
       "      <td>(41.92162163876298, 12.491969024898255)</td>\n",
       "      <td>41.921249</td>\n",
       "      <td>12.490505</td>\n",
       "      <td>0.128294</td>\n",
       "      <td>0.001511</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80739</th>\n",
       "      <td>492</td>\n",
       "      <td>41.921249</td>\n",
       "      <td>12.490505</td>\n",
       "      <td>1548</td>\n",
       "      <td>(41.92124872036542, 12.490505260658855)</td>\n",
       "      <td>41.920077</td>\n",
       "      <td>12.493286</td>\n",
       "      <td>0.264875</td>\n",
       "      <td>0.003018</td>\n",
       "      <td>245</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80740</th>\n",
       "      <td>492</td>\n",
       "      <td>41.920077</td>\n",
       "      <td>12.493286</td>\n",
       "      <td>1548</td>\n",
       "      <td>(41.92007653206897, 12.493285945449925)</td>\n",
       "      <td>41.920531</td>\n",
       "      <td>12.493566</td>\n",
       "      <td>0.055563</td>\n",
       "      <td>0.000534</td>\n",
       "      <td>157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80741</th>\n",
       "      <td>492</td>\n",
       "      <td>41.920531</td>\n",
       "      <td>12.493566</td>\n",
       "      <td>1670</td>\n",
       "      <td>(41.920531080548486, 12.493565610580209)</td>\n",
       "      <td>41.923100</td>\n",
       "      <td>12.493009</td>\n",
       "      <td>0.289040</td>\n",
       "      <td>0.002628</td>\n",
       "      <td>133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80742</th>\n",
       "      <td>492</td>\n",
       "      <td>41.923100</td>\n",
       "      <td>12.493009</td>\n",
       "      <td>1690</td>\n",
       "      <td>(41.923099987112735, 12.493009309203826)</td>\n",
       "      <td>41.921137</td>\n",
       "      <td>12.494010</td>\n",
       "      <td>0.233280</td>\n",
       "      <td>0.002203</td>\n",
       "      <td>148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80743</th>\n",
       "      <td>492</td>\n",
       "      <td>41.921137</td>\n",
       "      <td>12.494010</td>\n",
       "      <td>1690</td>\n",
       "      <td>(41.92113706860607, 12.494009587931442)</td>\n",
       "      <td>41.922147</td>\n",
       "      <td>12.492386</td>\n",
       "      <td>0.175288</td>\n",
       "      <td>0.001912</td>\n",
       "      <td>115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80744</th>\n",
       "      <td>492</td>\n",
       "      <td>41.922147</td>\n",
       "      <td>12.492386</td>\n",
       "      <td>1720</td>\n",
       "      <td>(41.92214703560814, 12.49238587009464)</td>\n",
       "      <td>41.921420</td>\n",
       "      <td>12.492870</td>\n",
       "      <td>0.090171</td>\n",
       "      <td>0.000873</td>\n",
       "      <td>173</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80745</th>\n",
       "      <td>492</td>\n",
       "      <td>41.921420</td>\n",
       "      <td>12.492870</td>\n",
       "      <td>1720</td>\n",
       "      <td>(41.92142012173652, 12.492869861120775)</td>\n",
       "      <td>41.922132</td>\n",
       "      <td>12.493175</td>\n",
       "      <td>0.083020</td>\n",
       "      <td>0.000775</td>\n",
       "      <td>159</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80746</th>\n",
       "      <td>492</td>\n",
       "      <td>41.922132</td>\n",
       "      <td>12.493175</td>\n",
       "      <td>1781</td>\n",
       "      <td>(41.92213187449459, 12.493175424177744)</td>\n",
       "      <td>41.922489</td>\n",
       "      <td>12.494257</td>\n",
       "      <td>0.098139</td>\n",
       "      <td>0.001139</td>\n",
       "      <td>147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80747</th>\n",
       "      <td>492</td>\n",
       "      <td>41.922489</td>\n",
       "      <td>12.494257</td>\n",
       "      <td>1781</td>\n",
       "      <td>(41.92248921667444, 12.494257442938478)</td>\n",
       "      <td>41.921204</td>\n",
       "      <td>12.493504</td>\n",
       "      <td>0.155833</td>\n",
       "      <td>0.001490</td>\n",
       "      <td>130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80748</th>\n",
       "      <td>492</td>\n",
       "      <td>41.921204</td>\n",
       "      <td>12.493504</td>\n",
       "      <td>1781</td>\n",
       "      <td>(41.92120386600729, 12.493504434735057)</td>\n",
       "      <td>41.922164</td>\n",
       "      <td>12.495534</td>\n",
       "      <td>0.199324</td>\n",
       "      <td>0.002245</td>\n",
       "      <td>142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80749</th>\n",
       "      <td>492</td>\n",
       "      <td>41.922164</td>\n",
       "      <td>12.495534</td>\n",
       "      <td>2025</td>\n",
       "      <td>(41.92216443578222, 12.49553410468472)</td>\n",
       "      <td>41.920334</td>\n",
       "      <td>12.495291</td>\n",
       "      <td>0.204270</td>\n",
       "      <td>0.001846</td>\n",
       "      <td>126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80750</th>\n",
       "      <td>492</td>\n",
       "      <td>41.920334</td>\n",
       "      <td>12.495291</td>\n",
       "      <td>2027</td>\n",
       "      <td>(41.92033435384193, 12.495290833196409)</td>\n",
       "      <td>41.920334</td>\n",
       "      <td>12.495291</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>123</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      "text/plain": [
       "       tripIndex        lat        lon  time  \\\n",
       "80697        492  41.919669  12.494387     0   \n",
       "80698        492  41.921086  12.494581   120   \n",
       "80699        492  41.922498  12.492589   123   \n",
       "80700        492  41.922626  12.495090   123   \n",
       "80701        492  41.921929  12.494358   123   \n",
       "80702        492  41.922368  12.495999   123   \n",
       "80703        492  41.921257  12.493225   481   \n",
       "80704        492  41.922369  12.492608   481   \n",
       "80705        492  41.923026  12.493459   481   \n",
       "80706        492  41.921596  12.492228  1136   \n",
       "80707        492  41.922298  12.492842  1136   \n",
       "80708        492  41.923301  12.493413  1149   \n",
       "80709        492  41.923742  12.492578  1161   \n",
       "80710        492  41.919248  12.495934  1190   \n",
       "80711        492  41.922070  12.492591  1190   \n",
       "80712        492  41.922661  12.493201  1197   \n",
       "80713        492  41.920897  12.490331  1216   \n",
       "80714        492  41.924478  12.492588  1216   \n",
       "80715        492  41.921480  12.493950  1231   \n",
       "80716        492  41.921323  12.492814  1262   \n",
       "80717        492  41.921849  12.494076  1265   \n",
       "80718        492  41.920014  12.493825  1284   \n",
       "80719        492  41.922737  12.492486  1297   \n",
       "80720        492  41.920337  12.492693  1310   \n",
       "80721        492  41.922097  12.490842  1311   \n",
       "80722        492  41.921268  12.490116  1326   \n",
       "80723        492  41.921660  12.491436  1326   \n",
       "80724        492  41.921845  12.493943  1335   \n",
       "80725        492  41.921918  12.493580  1345   \n",
       "80726        492  41.924644  12.492248  1356   \n",
       "80727        492  41.923917  12.493121  1376   \n",
       "80728        492  41.923854  12.492321  1418   \n",
       "80729        492  41.922819  12.491260  1420   \n",
       "80730        492  41.921670  12.492110  1420   \n",
       "80731        492  41.923324  12.494059  1431   \n",
       "80732        492  41.922297  12.491065  1454   \n",
       "80733        492  41.921939  12.491801  1455   \n",
       "80734        492  41.921415  12.492729  1490   \n",
       "80735        492  41.922148  12.493448  1491   \n",
       "80736        492  41.922053  12.490895  1504   \n",
       "80737        492  41.921830  12.493175  1520   \n",
       "80738        492  41.921622  12.491969  1536   \n",
       "80739        492  41.921249  12.490505  1548   \n",
       "80740        492  41.920077  12.493286  1548   \n",
       "80741        492  41.920531  12.493566  1670   \n",
       "80742        492  41.923100  12.493009  1690   \n",
       "80743        492  41.921137  12.494010  1690   \n",
       "80744        492  41.922147  12.492386  1720   \n",
       "80745        492  41.921420  12.492870  1720   \n",
       "80746        492  41.922132  12.493175  1781   \n",
       "80747        492  41.922489  12.494257  1781   \n",
       "80748        492  41.921204  12.493504  1781   \n",
       "80749        492  41.922164  12.495534  2025   \n",
       "80750        492  41.920334  12.495291  2027   \n",
       "\n",
       "                                        lat-lon   lat_next   lon_next  \\\n",
       "80697   (41.91966900706577, 12.494387352594256)  41.921086  12.494581   \n",
       "80698   (41.92108593518859, 12.494581241554252)  41.922498  12.492589   \n",
       "80699   (41.92249820161162, 12.492588588836378)  41.922626  12.495090   \n",
       "80700   (41.92262576915319, 12.495090226989657)  41.921929  12.494358   \n",
       "80701   (41.92192874437195, 12.494357505140318)  41.922368  12.495999   \n",
       "80702   (41.92236762912652, 12.495998881378432)  41.921257  12.493225   \n",
       "80703   (41.92125653525642, 12.493224916759944)  41.922369  12.492608   \n",
       "80704   (41.92236874749873, 12.492608361458094)  41.923026  12.493459   \n",
       "80705  (41.923026396257896, 12.493458724802656)  41.921596  12.492228   \n",
       "80706   (41.92159625930836, 12.492228176701436)  41.922298  12.492842   \n",
       "80707   (41.922297575366926, 12.49284231516272)  41.923301  12.493413   \n",
       "80708   (41.92330127054437, 12.493412967573438)  41.923742  12.492578   \n",
       "80709  (41.923742217904085, 12.492578256270203)  41.919248  12.495934   \n",
       "80710    (41.91924800423423, 12.49593357858109)  41.922070  12.492591   \n",
       "80711   (41.92207046848458, 12.492591120578249)  41.922661  12.493201   \n",
       "80712  (41.922660958939616, 12.493201048666265)  41.920897  12.490331   \n",
       "80713   (41.92089680144182, 12.490330839207584)  41.924478  12.492588   \n",
       "80714   (41.92447839021168, 12.492588238137865)  41.921480  12.493950   \n",
       "80715   (41.92148041906319, 12.493949557291996)  41.921323  12.492814   \n",
       "80716   (41.92132257488065, 12.492814125034576)  41.921849  12.494076   \n",
       "80717     (41.921848603184, 12.494075639971712)  41.920014  12.493825   \n",
       "80718   (41.92001437787557, 12.493824591132284)  41.922737  12.492486   \n",
       "80719     (41.922737395859, 12.492486193959373)  41.920337  12.492693   \n",
       "80720  (41.920337222997176, 12.492693060795636)  41.922097  12.490842   \n",
       "80721   (41.92209712549799, 12.490842128535188)  41.921268  12.490116   \n",
       "80722   (41.92126771165978, 12.490116051211563)  41.921660  12.491436   \n",
       "80723   (41.92166017799169, 12.491436309000454)  41.921845  12.493943   \n",
       "80724   (41.92184466890175, 12.493943205338535)  41.921918  12.493580   \n",
       "80725   (41.92191828991559, 12.493579996837214)  41.924644  12.492248   \n",
       "80726    (41.9246435886332, 12.492248019447992)  41.923917  12.493121   \n",
       "80727   (41.92391695438263, 12.493121333648949)  41.923854  12.492321   \n",
       "80728  (41.923853646601145, 12.492321487867851)  41.922819  12.491260   \n",
       "80729   (41.92281854003285, 12.491259615531195)  41.921670  12.492110   \n",
       "80730   (41.92167045492399, 12.492110000791405)  41.923324  12.494059   \n",
       "80731   (41.92332412644977, 12.494059216450454)  41.922297  12.491065   \n",
       "80732    (41.9222969515284, 12.491065379028136)  41.921939  12.491801   \n",
       "80733     (41.92193881820493, 12.4918011262783)  41.921415  12.492729   \n",
       "80734    (41.92141455179769, 12.49272908493451)  41.922148  12.493448   \n",
       "80735   (41.92214826248578, 12.493448315020636)  41.922053  12.490895   \n",
       "80736  (41.922052614640336, 12.490894524663384)  41.921830  12.493175   \n",
       "80737   (41.92183046274327, 12.493175265703371)  41.921622  12.491969   \n",
       "80738   (41.92162163876298, 12.491969024898255)  41.921249  12.490505   \n",
       "80739   (41.92124872036542, 12.490505260658855)  41.920077  12.493286   \n",
       "80740   (41.92007653206897, 12.493285945449925)  41.920531  12.493566   \n",
       "80741  (41.920531080548486, 12.493565610580209)  41.923100  12.493009   \n",
       "80742  (41.923099987112735, 12.493009309203826)  41.921137  12.494010   \n",
       "80743   (41.92113706860607, 12.494009587931442)  41.922147  12.492386   \n",
       "80744    (41.92214703560814, 12.49238587009464)  41.921420  12.492870   \n",
       "80745   (41.92142012173652, 12.492869861120775)  41.922132  12.493175   \n",
       "80746   (41.92213187449459, 12.493175424177744)  41.922489  12.494257   \n",
       "80747   (41.92248921667444, 12.494257442938478)  41.921204  12.493504   \n",
       "80748   (41.92120386600729, 12.493504434735057)  41.922164  12.495534   \n",
       "80749    (41.92216443578222, 12.49553410468472)  41.920334  12.495291   \n",
       "80750   (41.92033435384193, 12.495290833196409)  41.920334  12.495291   \n",
       "\n",
       "       distance_km  distance_in_minutes  number_trees  \n",
       "80697     0.158200             0.001430           136  \n",
       "80698     0.227878             0.002442           103  \n",
       "80699     0.207997             0.002505           156  \n",
       "80700     0.098428             0.001011           131  \n",
       "80701     0.144618             0.001699           116  \n",
       "80702     0.261111             0.002988           138  \n",
       "80703     0.133704             0.001272           151  \n",
       "80704     0.101545             0.001075           161  \n",
       "80705     0.188818             0.001887           141  \n",
       "80706     0.093076             0.000932           179  \n",
       "80707     0.121116             0.001155           156  \n",
       "80708     0.084810             0.000944           136  \n",
       "80709     0.571533             0.005609           145  \n",
       "80710     0.418519             0.004375           137  \n",
       "80711     0.082834             0.000849           163  \n",
       "80712     0.308355             0.003369           145  \n",
       "80713     0.439681             0.004234           243  \n",
       "80714     0.351616             0.003293           145  \n",
       "80715     0.095805             0.001146           126  \n",
       "80716     0.119852             0.001367           164  \n",
       "80717     0.204792             0.001851           123  \n",
       "80718     0.322184             0.003034           134  \n",
       "80719     0.267143             0.002409           160  \n",
       "80720     0.248566             0.002554           180  \n",
       "80721     0.110066             0.001102           221  \n",
       "80722     0.117875             0.001377           255  \n",
       "80723     0.208960             0.002514           214  \n",
       "80724     0.031219             0.000371           136  \n",
       "80725     0.322238             0.003033           138  \n",
       "80726     0.108450             0.001136           149  \n",
       "80727     0.066718             0.000802           131  \n",
       "80728     0.144834             0.001483           149  \n",
       "80729     0.145730             0.001429           190  \n",
       "80730     0.244705             0.002556           184  \n",
       "80731     0.273295             0.003165           136  \n",
       "80732     0.072850             0.000818           206  \n",
       "80733     0.096521             0.001066           192  \n",
       "80734     0.100999             0.001027           165  \n",
       "80735     0.212108             0.002556           143  \n",
       "80736     0.190794             0.002292           218  \n",
       "80737     0.102713             0.001224           149  \n",
       "80738     0.128294             0.001511           187  \n",
       "80739     0.264875             0.003018           245  \n",
       "80740     0.055563             0.000534           157  \n",
       "80741     0.289040             0.002628           133  \n",
       "80742     0.233280             0.002203           148  \n",
       "80743     0.175288             0.001912           115  \n",
       "80744     0.090171             0.000873           173  \n",
       "80745     0.083020             0.000775           159  \n",
       "80746     0.098139             0.001139           147  \n",
       "80747     0.155833             0.001490           130  \n",
       "80748     0.199324             0.002245           142  \n",
       "80749     0.204270             0.001846           126  \n",
       "80750     0.000000             0.000000           123  "
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "trip_lat_lon"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "AyNCabzFHcLN",
    "outputId": "9e7b4749-f6a5-48ff-874d-b100d36f4822"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[1;30;43mStreaming output truncated to the last 5000 lines.\u001b[0m\n",
      "197369   (41.88004329939014, 12.577280426359335)  41.880043  12.577280   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "197351     0.185994             0.001675           242  \n",
      "197352     0.089300             0.001005           230  \n",
      "197353     0.224506             0.002025           246  \n",
      "197354     0.167771             0.001531           224  \n",
      "197355     0.108334             0.001279           246  \n",
      "197356     0.086093             0.001008           284  \n",
      "197357     0.180483             0.002173           252  \n",
      "197358     0.381243             0.004304           306  \n",
      "197359     0.272038             0.003271           214  \n",
      "197360     0.308124             0.003313           270  \n",
      "197361     0.236455             0.002479           200  \n",
      "197362     0.161677             0.001724           242  \n",
      "197363     0.117621             0.001143           202  \n",
      "197364     0.339920             0.003822           204  \n",
      "197365     0.210979             0.002518           134  \n",
      "197366     0.041116             0.000384           202  \n",
      "197367     0.266948             0.002555           202  \n",
      "197368     0.281096             0.002693           202  \n",
      "197369     0.000000             0.000000           194  \n",
      "       tripIndex        lat        lon  time  \\\n",
      "83894     196648  41.944993  12.515358     0   \n",
      "83895     196648  41.946826  12.516236     0   \n",
      "83896     196648  41.944474  12.514092    39   \n",
      "83897     196648  41.945937  12.514810    39   \n",
      "83898     196648  41.947537  12.514484   131   \n",
      "83899     196648  41.945914  12.514285   131   \n",
      "83900     196648  41.946397  12.516174   280   \n",
      "83901     196648  41.945397  12.515120   280   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "83894   (41.94499324112261, 12.515358184337774)  41.946826  12.516236   \n",
      "83895   (41.94682625599954, 12.516235787142287)  41.944474  12.514092   \n",
      "83896    (41.9444736750128, 12.514092398506294)  41.945937  12.514810   \n",
      "83897     (41.94593713646344, 12.5148096065243)  41.947537  12.514484   \n",
      "83898   (41.94753686698381, 12.514483780533029)  41.945914  12.514285   \n",
      "83899    (41.9459139948221, 12.514284735107235)  41.946397  12.516174   \n",
      "83900   (41.94639723516201, 12.516174072151482)  41.945397  12.515120   \n",
      "83901  (41.945397464939056, 12.515120175186691)  41.945397  12.515120   \n",
      "\n",
      "       distance_km  distance_in_minutes  number_trees  \n",
      "83894     0.216212             0.002032           170  \n",
      "83895     0.316022             0.003183           207  \n",
      "83896     0.173088             0.001630           198  \n",
      "83897     0.179728             0.001633           200  \n",
      "83898     0.181010             0.001635           247  \n",
      "83899     0.165605             0.001950           213  \n",
      "83900     0.141310             0.001453           188  \n",
      "83901     0.000000             0.000000           188  \n",
      "       tripIndex        lat        lon  time  \\\n",
      "62779     196839  41.915168  12.459884     0   \n",
      "62780     196839  41.915332  12.458617    46   \n",
      "62781     196839  41.915361  12.461681    87   \n",
      "\n",
      "                                       lat-lon   lat_next   lon_next  \\\n",
      "62779  (41.91516834131307, 12.459884477418488)  41.915332  12.458617   \n",
      "62780  (41.91533175657488, 12.458616680420764)  41.915361  12.461681   \n",
      "62781     (41.915360504863, 12.46168123428526)  41.915361  12.461681   \n",
      "\n",
      "       distance_km  distance_in_minutes  number_trees  \n",
      "62779     0.106732             0.001278           125  \n",
      "62780     0.254257             0.003065           117  \n",
      "62781     0.000000             0.000000           131  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "150456     197663  41.945181  12.518478     0   \n",
      "150457     197663  41.944146  12.518194     3   \n",
      "150458     197663  41.942089  12.517945     3   \n",
      "150459     197663  41.942581  12.518832     3   \n",
      "150460     197663  41.943704  12.517907     3   \n",
      "150461     197663  41.943326  12.518766     3   \n",
      "150462     197663  41.946164  12.516731   120   \n",
      "150463     197663  41.943721  12.519366   123   \n",
      "150464     197663  41.944477  12.518270   123   \n",
      "150465     197663  41.945301  12.517386   123   \n",
      "\n",
      "                                         lat-lon   lat_next   lon_next  \\\n",
      "150456   (41.94518079546746, 12.518478472566054)  41.944146  12.518194   \n",
      "150457  (41.944145977633056, 12.518194038428796)  41.942089  12.517945   \n",
      "150458    (41.9420894734575, 12.517944705258364)  41.942581  12.518832   \n",
      "150459   (41.94258072862396, 12.518832152464933)  41.943704  12.517907   \n",
      "150460    (41.94370388476737, 12.51790652713408)  41.943326  12.518766   \n",
      "150461  (41.943326087930245, 12.518766257561328)  41.946164  12.516731   \n",
      "150462    (41.94616435241929, 12.51673135558648)  41.943721  12.519366   \n",
      "150463     (41.9437210698595, 12.51936611109671)  41.944477  12.518270   \n",
      "150464    (41.94447747659576, 12.51827003322068)  41.945301  12.517386   \n",
      "150465    (41.94530076209284, 12.51738639353905)  41.945301  12.517386   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "150456     0.117335             0.001073           102  \n",
      "150457     0.229354             0.002072            84  \n",
      "150458     0.091614             0.001014           162  \n",
      "150459     0.146474             0.001455           146  \n",
      "150460     0.082725             0.000939           108  \n",
      "150461     0.357571             0.003492           120  \n",
      "150462     0.348398             0.003593           157  \n",
      "150463     0.123773             0.001332           100  \n",
      "150464     0.117179             0.001208            86  \n",
      "150465     0.000000             0.000000           112  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "172420     198464  41.915551  12.516162     0   \n",
      "172421     198464  41.915436  12.517007     0   \n",
      "172422     198464  41.918882  12.519697     1   \n",
      "172423     198464  41.915524  12.518502    95   \n",
      "172424     198464  41.917318  12.517990    95   \n",
      "\n",
      "                                         lat-lon   lat_next   lon_next  \\\n",
      "172420  (41.915550830955816, 12.516162356462594)  41.915436  12.517007   \n",
      "172421   (41.91543646188531, 12.517007098139892)  41.918882  12.519697   \n",
      "172422   (41.91888231481593, 12.519697434941294)  41.915524  12.518502   \n",
      "172423   (41.91552363781041, 12.518502227713734)  41.917318  12.517990   \n",
      "172424    (41.91731790795244, 12.51798965242002)  41.917318  12.517990   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "172420     0.071222             0.000852           148  \n",
      "172421     0.443056             0.004372           148  \n",
      "172422     0.386006             0.003565           123  \n",
      "172423     0.203779             0.001866           124  \n",
      "172424     0.000000             0.000000           167  \n",
      "       tripIndex        lat        lon  time  \\\n",
      "18799     198571  41.906581  12.393169     0   \n",
      "18800     198571  41.905042  12.391356    10   \n",
      "18801     198571  41.903955  12.393967    10   \n",
      "18802     198571  41.905071  12.391822    10   \n",
      "18803     198571  41.906026  12.391033    16   \n",
      "18804     198571  41.905375  12.393284   244   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "18799      (41.906580967867, 12.39316866459385)  41.905042  12.391356   \n",
      "18800    (41.90504204314948, 12.39135610076596)  41.903955  12.393967   \n",
      "18801    (41.903954780049695, 12.3939671220447)  41.905071  12.391822   \n",
      "18802  (41.905071170775926, 12.391822081274372)  41.906026  12.391033   \n",
      "18803   (41.90602621192705, 12.391032914243215)  41.905375  12.393284   \n",
      "18804    (41.90537456489122, 12.39328377193991)  41.905375  12.393284   \n",
      "\n",
      "       distance_km  distance_in_minutes  number_trees  \n",
      "18799     0.227674             0.002378           188  \n",
      "18800     0.248033             0.002828           201  \n",
      "18801     0.216919             0.002418           160  \n",
      "18802     0.124660             0.001239           192  \n",
      "18803     0.200295             0.002343           214  \n",
      "18804     0.000000             0.000000           173  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "248744     198777  41.890011  12.573263     0   \n",
      "248745     198777  41.889302  12.573565     0   \n",
      "248746     198777  41.891923  12.572809     0   \n",
      "248747     198777  41.893555  12.575644    20   \n",
      "248748     198777  41.893013  12.575953   140   \n",
      "248749     198777  41.890891  12.573548   140   \n",
      "248750     198777  41.892779  12.575254   140   \n",
      "248751     198777  41.891595  12.572585   156   \n",
      "248752     198777  41.891851  12.575450   277   \n",
      "248753     198777  41.891894  12.574877   277   \n",
      "248754     198777  41.891640  12.576316   277   \n",
      "248755     198777  41.890661  12.572232   400   \n",
      "248756     198777  41.890562  12.574278   530   \n",
      "248757     198777  41.891592  12.574424   776   \n",
      "248758     198777  41.890971  12.573010   776   \n",
      "248759     198777  41.890156  12.576279   776   \n",
      "248760     198777  41.892806  12.574453   897   \n",
      "248761     198777  41.893950  12.574769   898   \n",
      "248762     198777  41.892645  12.574968   898   \n",
      "248763     198777  41.892381  12.574910   898   \n",
      "248764     198777  41.891102  12.574452   954   \n",
      "248765     198777  41.891781  12.575228  1024   \n",
      "248766     198777  41.891360  12.574178  1024   \n",
      "248767     198777  41.891991  12.573204  1102   \n",
      "248768     198777  41.891060  12.574303  1145   \n",
      "248769     198777  41.890883  12.575241  1145   \n",
      "248770     198777  41.888822  12.573356  1145   \n",
      "\n",
      "                                         lat-lon   lat_next   lon_next  \\\n",
      "248744   (41.89001076373592, 12.573263422033843)  41.889302  12.573565   \n",
      "248745   (41.88930238236988, 12.573564927788276)  41.891923  12.572809   \n",
      "248746   (41.89192349642462, 12.572808628392805)  41.893555  12.575644   \n",
      "248747  (41.893554823759445, 12.575643754817312)  41.893013  12.575953   \n",
      "248748   (41.89301284813997, 12.575953312538402)  41.890891  12.573548   \n",
      "248749  (41.890890648697614, 12.573548476174636)  41.892779  12.575254   \n",
      "248750  (41.892779149397946, 12.575254149726858)  41.891595  12.572585   \n",
      "248751   (41.89159543420416, 12.572584609913726)  41.891851  12.575450   \n",
      "248752    (41.89185073511386, 12.57544965023624)  41.891894  12.574877   \n",
      "248753   (41.89189364829048, 12.574876564548475)  41.891640  12.576316   \n",
      "248754   (41.89163982744497, 12.576316332716758)  41.890661  12.572232   \n",
      "248755   (41.89066134476777, 12.572232312254124)  41.890562  12.574278   \n",
      "248756   (41.89056176357239, 12.574278352912572)  41.891592  12.574424   \n",
      "248757    (41.89159203824871, 12.57442392762768)  41.890971  12.573010   \n",
      "248758   (41.89097109232963, 12.573009727616247)  41.890156  12.576279   \n",
      "248759   (41.89015553410917, 12.576279447543572)  41.892806  12.574453   \n",
      "248760   (41.89280626666051, 12.574453160932697)  41.893950  12.574769   \n",
      "248761   (41.89394980614367, 12.574769405594855)  41.892645  12.574968   \n",
      "248762    (41.89264478353743, 12.57496758988715)  41.892381  12.574910   \n",
      "248763   (41.89238079356044, 12.574910227223018)  41.891102  12.574452   \n",
      "248764   (41.89110173507589, 12.574452432440587)  41.891781  12.575228   \n",
      "248765   (41.89178115828523, 12.575228211297372)  41.891360  12.574178   \n",
      "248766    (41.89135998728775, 12.57417757351256)  41.891991  12.573204   \n",
      "248767    (41.89199082550272, 12.57320439599472)  41.891060  12.574303   \n",
      "248768    (41.89105951806159, 12.57430252841258)  41.890883  12.575241   \n",
      "248769   (41.89088306026554, 12.575240559476333)  41.888822  12.573356   \n",
      "248770  (41.888822480441696, 12.573356010433962)  41.888822  12.573356   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "248744     0.082564             0.000770           198  \n",
      "248745     0.297820             0.002728           164  \n",
      "248746     0.296969             0.003271           248  \n",
      "248747     0.065450             0.000624           272  \n",
      "248748     0.308858             0.003207           248  \n",
      "248749     0.253054             0.002545           214  \n",
      "248750     0.257622             0.002920           294  \n",
      "248751     0.239458             0.002876           234  \n",
      "248752     0.047799             0.000575           258  \n",
      "248753     0.122769             0.001462           238  \n",
      "248754     0.355938             0.004200           236  \n",
      "248755     0.170166             0.002048           210  \n",
      "248756     0.115070             0.001041           210  \n",
      "248757     0.136131             0.001545           248  \n",
      "248758     0.286083             0.003370           228  \n",
      "248759     0.331143             0.003219           170  \n",
      "248760     0.129697             0.001186           290  \n",
      "248761     0.145881             0.001320           290  \n",
      "248762     0.029706             0.000270           276  \n",
      "248763     0.147059             0.001359           272  \n",
      "248764     0.099197             0.001031           236  \n",
      "248765     0.098950             0.001132           248  \n",
      "248766     0.106923             0.001160           240  \n",
      "248767     0.137862             0.001440           260  \n",
      "248768     0.080278             0.000954           234  \n",
      "248769     0.277208             0.002792           220  \n",
      "248770     0.000000             0.000000           154  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "168915     201137  41.920309  12.456174     0   \n",
      "168916     201137  41.918750  12.454486     0   \n",
      "168917     201137  41.919147  12.455179     0   \n",
      "168918     201137  41.920040  12.453624     0   \n",
      "168919     201137  41.917794  12.453937     0   \n",
      "168920     201137  41.920047  12.454548     0   \n",
      "168921     201137  41.918791  12.453910     0   \n",
      "168922     201137  41.919286  12.454251     0   \n",
      "168923     201137  41.919856  12.453837     0   \n",
      "168924     201137  41.920730  12.454598     0   \n",
      "168925     201137  41.922084  12.455161     0   \n",
      "168926     201137  41.919882  12.455000     0   \n",
      "168927     201137  41.921023  12.455304     0   \n",
      "168928     201137  41.919116  12.455873     0   \n",
      "168929     201137  41.919438  12.453879   359   \n",
      "168930     201137  41.920286  12.455799   359   \n",
      "168931     201137  41.919732  12.456975   359   \n",
      "168932     201137  41.919485  12.454453   359   \n",
      "168933     201137  41.921437  12.455893   359   \n",
      "168934     201137  41.920140  12.454553   359   \n",
      "168935     201137  41.918458  12.455515   359   \n",
      "168936     201137  41.919996  12.454238   359   \n",
      "168937     201137  41.919794  12.455253   359   \n",
      "168938     201137  41.920260  12.456113   359   \n",
      "168939     201137  41.920293  12.455745   359   \n",
      "168940     201137  41.919756  12.454945   359   \n",
      "168941     201137  41.920440  12.455257   359   \n",
      "168942     201137  41.919780  12.454834   359   \n",
      "\n",
      "                                         lat-lon   lat_next   lon_next  \\\n",
      "168915   (41.92030871847005, 12.456174291453175)  41.918750  12.454486   \n",
      "168916   (41.91874974930027, 12.454485667316174)  41.919147  12.455179   \n",
      "168917   (41.91914742021709, 12.455178788931097)  41.920040  12.453624   \n",
      "168918    (41.9200395722304, 12.453623845113858)  41.917794  12.453937   \n",
      "168919   (41.91779443691934, 12.453937164762522)  41.920047  12.454548   \n",
      "168920   (41.920047280613424, 12.45454842419798)  41.918791  12.453910   \n",
      "168921   (41.91879139767478, 12.453909862823656)  41.919286  12.454251   \n",
      "168922    (41.91928551724971, 12.45425141405157)  41.919856  12.453837   \n",
      "168923   (41.91985628309201, 12.453837205544923)  41.920730  12.454598   \n",
      "168924   (41.92073008749052, 12.454597550978518)  41.922084  12.455161   \n",
      "168925   (41.92208365028409, 12.455161132688536)  41.919882  12.455000   \n",
      "168926   (41.91988205367007, 12.455000118176413)  41.921023  12.455304   \n",
      "168927  (41.921022722488566, 12.455303963851408)  41.919116  12.455873   \n",
      "168928   (41.91911553803346, 12.455872987662085)  41.919438  12.453879   \n",
      "168929   (41.91943791978389, 12.453878949162904)  41.920286  12.455799   \n",
      "168930   (41.92028623154228, 12.455798800978387)  41.919732  12.456975   \n",
      "168931   (41.91973205383651, 12.456975183171782)  41.919485  12.454453   \n",
      "168932    (41.91948542742935, 12.45445269046795)  41.921437  12.455893   \n",
      "168933   (41.92143697904938, 12.455892538230426)  41.920140  12.454553   \n",
      "168934   (41.92013980456174, 12.454552835920143)  41.918458  12.455515   \n",
      "168935    (41.91845807946165, 12.45551498141429)  41.919996  12.454238   \n",
      "168936    (41.91999612077262, 12.45423807945376)  41.919794  12.455253   \n",
      "168937   (41.91979354983457, 12.455252880443451)  41.920260  12.456113   \n",
      "168938     (41.9202604002977, 12.45611307811354)  41.920293  12.455745   \n",
      "168939    (41.92029252929736, 12.45574533842188)  41.919756  12.454945   \n",
      "168940    (41.9197560946149, 12.454945471490412)  41.920440  12.455257   \n",
      "168941  (41.920440475607705, 12.455257461238842)  41.919780  12.454834   \n",
      "168942  (41.919780488782685, 12.454834314830372)  41.919780  12.454834   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "168915     0.222724             0.002298            87  \n",
      "168916     0.072506             0.000799            76  \n",
      "168917     0.162659             0.001793            69  \n",
      "168918     0.250722             0.002267            95  \n",
      "168919     0.255313             0.002334            73  \n",
      "168920     0.149212             0.001409            76  \n",
      "168921     0.061765             0.000601            82  \n",
      "168922     0.072109             0.000705            74  \n",
      "168923     0.115750             0.001158            88  \n",
      "168924     0.157444             0.001466            92  \n",
      "168925     0.244900             0.002207           129  \n",
      "168926     0.129179             0.001180            75  \n",
      "168927     0.217030             0.001990            98  \n",
      "168928     0.169247             0.002020            77  \n",
      "168929     0.185046             0.002099            78  \n",
      "168930     0.115377             0.001300            85  \n",
      "168931     0.211039             0.002535            95  \n",
      "168932     0.247491             0.002425            73  \n",
      "168933     0.181960             0.001865           122  \n",
      "168934     0.203130             0.001938            79  \n",
      "168935     0.201008             0.001999            79  \n",
      "168936     0.087137             0.001035            84  \n",
      "168937     0.088208             0.000979            75  \n",
      "168938     0.030714             0.000369            87  \n",
      "168939     0.089178             0.000963            82  \n",
      "168940     0.080300             0.000752            75  \n",
      "168941     0.081277             0.000784            80  \n",
      "168942     0.000000             0.000000            74  \n",
      "       tripIndex        lat        lon  time  \\\n",
      "14473     204352  41.893826  12.528922     0   \n",
      "14474     204352  41.892968  12.530295     0   \n",
      "14475     204352  41.891250  12.528955     0   \n",
      "14476     204352  41.894003  12.528555    29   \n",
      "14477     204352  41.893221  12.530985    52   \n",
      "14478     204352  41.892200  12.528095    52   \n",
      "14479     204352  41.892333  12.527439    73   \n",
      "14480     204352  41.891804  12.527382    73   \n",
      "14481     204352  41.892668  12.528439   139   \n",
      "14482     204352  41.891972  12.528211   185   \n",
      "14483     204352  41.894732  12.529694   185   \n",
      "14484     204352  41.893374  12.530107   185   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "14473   (41.89382631808213, 12.528921823247863)  41.892968  12.530295   \n",
      "14474   (41.89296813835946, 12.530294847609976)  41.891250  12.528955   \n",
      "14475   (41.89124994481484, 12.528954735111007)  41.894003  12.528555   \n",
      "14476   (41.89400348581254, 12.528555382699636)  41.893221  12.530985   \n",
      "14477   (41.89322065358544, 12.530985271644028)  41.892200  12.528095   \n",
      "14478  (41.892199703604085, 12.528094732204446)  41.892333  12.527439   \n",
      "14479  (41.892332809279445, 12.527438687673794)  41.891804  12.527382   \n",
      "14480   (41.89180422572556, 12.527382333519578)  41.892668  12.528439   \n",
      "14481    (41.89266849295468, 12.52843861860464)  41.891972  12.528211   \n",
      "14482   (41.89197172008977, 12.528210799531063)  41.894732  12.529694   \n",
      "14483   (41.89473191692972, 12.529694467943507)  41.893374  12.530107   \n",
      "14484   (41.89337365802554, 12.530106535942254)  41.893374  12.530107   \n",
      "\n",
      "       distance_km  distance_in_minutes  number_trees  \n",
      "14473     0.148558             0.001619            71  \n",
      "14474     0.220884             0.002179            75  \n",
      "14475     0.307630             0.002782           150  \n",
      "14476     0.219600             0.002553            78  \n",
      "14477     0.265338             0.003066            48  \n",
      "14478     0.056417             0.000669           106  \n",
      "14479     0.058896             0.000532            91  \n",
      "14480     0.129999             0.001365            97  \n",
      "14481     0.079667             0.000733            94  \n",
      "14482     0.330380             0.003134           110  \n",
      "14483     0.154691             0.001419            70  \n",
      "14484     0.000000             0.000000            66  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "228380     208839  41.895889  12.441140     0   \n",
      "228381     208839  41.895561  12.442853    42   \n",
      "228382     208839  41.895202  12.442229    44   \n",
      "228383     208839  41.895645  12.442750    44   \n",
      "228384     208839  41.896337  12.441189    44   \n",
      "228385     208839  41.897232  12.442854    44   \n",
      "228386     208839  41.894540  12.442133   240   \n",
      "228387     208839  41.897221  12.442819   240   \n",
      "228388     208839  41.894815  12.442044   240   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "228380  (41.89588941473273, 12.441139907413945)  41.895561  12.442853   \n",
      "228381  (41.89556115803078, 12.442853380529108)  41.895202  12.442229   \n",
      "228382  (41.89520175119129, 12.442228664959202)  41.895645  12.442750   \n",
      "228383   (41.89564541347619, 12.44274971434042)  41.896337  12.441189   \n",
      "228384   (41.89633718819739, 12.44118853292382)  41.897232  12.442854   \n",
      "228385   (41.8972324092286, 12.442854194471272)  41.894540  12.442133   \n",
      "228386    (41.89454048695014, 12.4421333829476)  41.897221  12.442819   \n",
      "228387  (41.89722094509701, 12.442819249659635)  41.894815  12.442044   \n",
      "228388  (41.89481484563199, 12.442044422178755)  41.894815  12.442044   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "228380     0.146794             0.001745           150  \n",
      "228381     0.065431             0.000721           182  \n",
      "228382     0.065559             0.000684           183  \n",
      "228383     0.150627             0.001708           177  \n",
      "228384     0.170273             0.001891           145  \n",
      "228385     0.304920             0.002787           147  \n",
      "228386     0.303114             0.002767           195  \n",
      "228387     0.274875             0.002528           148  \n",
      "228388     0.000000             0.000000           196  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "109429     211039  41.778618  12.361692     0   \n",
      "109430     211039  41.780171  12.362002   139   \n",
      "109431     211039  41.778007  12.359599   139   \n",
      "109432     211039  41.779485  12.360762   258   \n",
      "109433     211039  41.781091  12.360423   258   \n",
      "109434     211039  41.779708  12.360025   309   \n",
      "109435     211039  41.779798  12.361244   309   \n",
      "109436     211039  41.778567  12.360248   336   \n",
      "109437     211039  41.778233  12.362545   337   \n",
      "109438     211039  41.778343  12.360732   375   \n",
      "109439     211039  41.779839  12.360600   428   \n",
      "109440     211039  41.780339  12.361538   428   \n",
      "109441     211039  41.780183  12.360015   428   \n",
      "109442     211039  41.780839  12.362650   499   \n",
      "109443     211039  41.780282  12.361404   499   \n",
      "109444     211039  41.780446  12.361784   499   \n",
      "109445     211039  41.779266  12.360554   582   \n",
      "109446     211039  41.779427  12.360239   582   \n",
      "109447     211039  41.778619  12.362312   582   \n",
      "109448     211039  41.780455  12.361674   582   \n",
      "109449     211039  41.778496  12.359555   724   \n",
      "109450     211039  41.778367  12.362061   724   \n",
      "109451     211039  41.780055  12.361817   928   \n",
      "109452     211039  41.778782  12.359731   979   \n",
      "109453     211039  41.778658  12.361906   979   \n",
      "109454     211039  41.779571  12.361126  1259   \n",
      "109455     211039  41.779700  12.360797  1259   \n",
      "109456     211039  41.777863  12.359889  1277   \n",
      "109457     211039  41.776927  12.361681  1538   \n",
      "109458     211039  41.778333  12.362719  1726   \n",
      "109459     211039  41.777000  12.360712  1726   \n",
      "109460     211039  41.781174  12.361100  1728   \n",
      "109461     211039  41.776940  12.361261  1759   \n",
      "109462     211039  41.777510  12.359895  1759   \n",
      "\n",
      "                                         lat-lon   lat_next   lon_next  \\\n",
      "109429   (41.77861804112261, 12.361691984337774)  41.780171  12.362002   \n",
      "109430   (41.78017095599954, 12.362001587142286)  41.778007  12.359599   \n",
      "109431   (41.77800667501279, 12.359599098506294)  41.779485  12.360762   \n",
      "109432     (41.77948473646344, 12.3607615065243)  41.781091  12.360423   \n",
      "109433   (41.78109146698381, 12.360422680533029)  41.779708  12.360025   \n",
      "109434    (41.7797075948221, 12.360024835107236)  41.779798  12.361244   \n",
      "109435    (41.77979783516201, 12.36124427215148)  41.778567  12.360248   \n",
      "109436   (41.77856686493906, 12.360248075186693)  41.778233  12.362545   \n",
      "109437   (41.77823268255937, 12.362544948627724)  41.778343  12.360732   \n",
      "109438    (41.77834325528514, 12.36073199436539)  41.779839  12.360600   \n",
      "109439   (41.77983940395935, 12.360599577948827)  41.780339  12.361538   \n",
      "109440    (41.78033876604448, 12.36153786167058)  41.780183  12.360015   \n",
      "109441   (41.78018255807018, 12.360014776962435)  41.780839  12.362650   \n",
      "109442   (41.78083925626984, 12.362650283008623)  41.780282  12.361404   \n",
      "109443   (41.78028154069453, 12.361404395882596)  41.780446  12.361784   \n",
      "109444   (41.78044621067888, 12.361783567666793)  41.779266  12.360554   \n",
      "109445   (41.77926566997965, 12.360554425016137)  41.779427  12.360239   \n",
      "109446  (41.779427082624935, 12.360239017937657)  41.778619  12.362312   \n",
      "109447    (41.77861922828036, 12.36231189100918)  41.780455  12.361674   \n",
      "109448  (41.780455397420646, 12.361673930383857)  41.778496  12.359555   \n",
      "109449   (41.77849604336623, 12.359554754900186)  41.778367  12.362061   \n",
      "109450   (41.77836726060464, 12.362061017626056)  41.780055  12.361817   \n",
      "109451   (41.78005549012286, 12.361817297521076)  41.778782  12.359731   \n",
      "109452   (41.778781605307294, 12.35973119549258)  41.778658  12.361906   \n",
      "109453  (41.778657577105726, 12.361906389163549)  41.779571  12.361126   \n",
      "109454   (41.77957092270127, 12.361125653063622)  41.779700  12.360797   \n",
      "109455   (41.77970023398094, 12.360796848925428)  41.777863  12.359889   \n",
      "109456   (41.77786255382755, 12.359888813011905)  41.776927  12.361681   \n",
      "109457   (41.77692684544063, 12.361681364865598)  41.778333  12.362719   \n",
      "109458  (41.778332763501446, 12.362718960561796)  41.777000  12.360712   \n",
      "109459   (41.77700026960681, 12.360712349937724)  41.781174  12.361100   \n",
      "109460   (41.78117356556327, 12.361100376851253)  41.776940  12.361261   \n",
      "109461    (41.77694001448619, 12.36126054913767)  41.777510  12.359895   \n",
      "109462   (41.77751031801911, 12.359894840695604)  41.777510  12.359895   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "109429     0.174391             0.001583           260  \n",
      "109430     0.312536             0.003234           290  \n",
      "109431     0.190499             0.001880           191  \n",
      "109432     0.180667             0.001642           230  \n",
      "109433     0.157224             0.001440           248  \n",
      "109434     0.101873             0.001223           214  \n",
      "109435     0.159851             0.001584           244  \n",
      "109436     0.194530             0.002321           212  \n",
      "109437     0.151224             0.001816           308  \n",
      "109438     0.166540             0.001502           227  \n",
      "109439     0.095713             0.001063           223  \n",
      "109440     0.127805             0.001531           265  \n",
      "109441     0.230924             0.002716           209  \n",
      "109442     0.120687             0.001365           297  \n",
      "109443     0.036444             0.000413           256  \n",
      "109444     0.166237             0.001704           275  \n",
      "109445     0.031765             0.000354           229  \n",
      "109446     0.194292             0.002225           219  \n",
      "109447     0.210725             0.001944           287  \n",
      "109448     0.279999             0.002886           274  \n",
      "109449     0.208855             0.002510           180  \n",
      "109450     0.188602             0.001706           282  \n",
      "109451     0.223824             0.002444           271  \n",
      "109452     0.181363             0.002179           190  \n",
      "109453     0.120432             0.001202           273  \n",
      "109454     0.030879             0.000353           235  \n",
      "109455     0.217623             0.002050           231  \n",
      "109456     0.181690             0.002022           192  \n",
      "109457     0.178397             0.001747           287  \n",
      "109458     0.223013             0.002409           314  \n",
      "109459     0.464645             0.004191           216  \n",
      "109460     0.470405             0.004237           269  \n",
      "109461     0.130017             0.001480           258  \n",
      "109462     0.000000             0.000000           192  \n",
      "       tripIndex        lat        lon  time  \\\n",
      "28837     217646  41.758518  12.356161     0   \n",
      "28838     217646  41.758713  12.358548     0   \n",
      "28839     217646  41.757648  12.352797   129   \n",
      "28840     217646  41.756662  12.354774   129   \n",
      "28841     217646  41.757033  12.354707   272   \n",
      "28842     217646  41.754433  12.353620   272   \n",
      "28843     217646  41.755678  12.354798   417   \n",
      "28844     217646  41.753957  12.353093   417   \n",
      "28845     217646  41.755591  12.353472   545   \n",
      "28846     217646  41.755716  12.352787   672   \n",
      "28847     217646  41.754674  12.354718   672   \n",
      "28848     217646  41.754813  12.354359   816   \n",
      "28849     217646  41.755066  12.353335   816   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "28837   (41.758518045227554, 12.35616110637742)  41.758713  12.358548   \n",
      "28838   (41.75871282904088, 12.358548478272295)  41.757648  12.352797   \n",
      "28839  (41.757648328169424, 12.352797041175222)  41.756662  12.354774   \n",
      "28840   (41.75666243089087, 12.354774230740968)  41.757033  12.354707   \n",
      "28841    (41.75703320989447, 12.35470658712317)  41.754433  12.353620   \n",
      "28842   (41.75443331543536, 12.353620281850942)  41.755678  12.354798   \n",
      "28843  (41.755677529124014, 12.354798400277083)  41.753957  12.353093   \n",
      "28844    (41.75395710781942, 12.35309269561702)  41.755591  12.353472   \n",
      "28845   (41.75559081630204, 12.353471829900544)  41.755716  12.352787   \n",
      "28846   (41.75571632009884, 12.352787385093627)  41.754674  12.354718   \n",
      "28847   (41.75467409758812, 12.354718050256128)  41.754813  12.354359   \n",
      "28848   (41.75481275230034, 12.354359331140309)  41.755066  12.353335   \n",
      "28849   (41.75506551220416, 12.353335213380516)  41.755066  12.353335   \n",
      "\n",
      "       distance_km  distance_in_minutes  number_trees  \n",
      "28837     0.199717             0.002395           347  \n",
      "28838     0.492707             0.005849           280  \n",
      "28839     0.197557             0.002209           228  \n",
      "28840     0.041564             0.000377           302  \n",
      "28841     0.302569             0.002818           291  \n",
      "28842     0.169404             0.001713           282  \n",
      "28843     0.237987             0.002423           319  \n",
      "28844     0.184173             0.001677           264  \n",
      "28845     0.058605             0.000696           266  \n",
      "28846     0.197945             0.002194           222  \n",
      "28847     0.033574             0.000385           294  \n",
      "28848     0.089681             0.001055           299  \n",
      "28849     0.000000             0.000000           278  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "238287     221594  41.789941  12.443606     0   \n",
      "238288     221594  41.789815  12.441497     0   \n",
      "238289     221594  41.790405  12.443053    66   \n",
      "238290     221594  41.790579  12.442320    66   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "238287  (41.78994055222172, 12.443605764881106)  41.789815  12.441497   \n",
      "238288  (41.78981532103104, 12.441497345433328)  41.790405  12.443053   \n",
      "238289  (41.79040504454424, 12.443052886471468)  41.790579  12.442320   \n",
      "238290  (41.79057924724603, 12.442319855154384)  41.790579  12.442320   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "238287     0.175809             0.002112            87  \n",
      "238288     0.144944             0.001664            60  \n",
      "238289     0.063929             0.000753            85  \n",
      "238290     0.000000             0.000000            76  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "247751     226252  41.917125  12.553172     0   \n",
      "247752     226252  41.918312  12.552828     0   \n",
      "247753     226252  41.917704  12.551876     0   \n",
      "247754     226252  41.918092  12.552679    15   \n",
      "247755     226252  41.919316  12.553274   145   \n",
      "247756     226252  41.917927  12.552998   145   \n",
      "247757     226252  41.919519  12.553932   145   \n",
      "247758     226252  41.918709  12.551698   160   \n",
      "247759     226252  41.920221  12.554226   160   \n",
      "247760     226252  41.918537  12.552686   160   \n",
      "247761     226252  41.918962  12.552737   183   \n",
      "247762     226252  41.919166  12.551700   183   \n",
      "247763     226252  41.918143  12.553394   353   \n",
      "247764     226252  41.918820  12.553194   353   \n",
      "247765     226252  41.918437  12.552735   370   \n",
      "247766     226252  41.918387  12.552757   402   \n",
      "247767     226252  41.915789  12.553935   402   \n",
      "247768     226252  41.917097  12.553751   635   \n",
      "247769     226252  41.918771  12.553362   635   \n",
      "247770     226252  41.918420  12.553088   942   \n",
      "247771     226252  41.917460  12.554002   942   \n",
      "247772     226252  41.918324  12.552584   977   \n",
      "247773     226252  41.917787  12.550722   977   \n",
      "247774     226252  41.917867  12.551908   977   \n",
      "247775     226252  41.918462  12.549736  1081   \n",
      "247776     226252  41.920039  12.551296  1081   \n",
      "247777     226252  41.919668  12.552846  1081   \n",
      "\n",
      "                                         lat-lon   lat_next   lon_next  \\\n",
      "247751   (41.91712545206608, 12.553172360011905)  41.918312  12.552828   \n",
      "247752   (41.91831233630053, 12.552827820276438)  41.917704  12.551876   \n",
      "247753    (41.91770409367666, 12.55187583019089)  41.918092  12.552679   \n",
      "247754   (41.91809240583213, 12.552678817676805)  41.919316  12.553274   \n",
      "247755   (41.91931563683072, 12.553273644356082)  41.917927  12.552998   \n",
      "247756   (41.91792706692571, 12.552997976274249)  41.919519  12.553932   \n",
      "247757   (41.91951914321884, 12.553932226048412)  41.918709  12.551698   \n",
      "247758   (41.91870873421331, 12.551697792833297)  41.920221  12.554226   \n",
      "247759   (41.92022066163803, 12.554225762578945)  41.918537  12.552686   \n",
      "247760   (41.91853656321497, 12.552686144298562)  41.918962  12.552737   \n",
      "247761   (41.91896212450235, 12.552736501790676)  41.919166  12.551700   \n",
      "247762   (41.91916587154302, 12.551699954343189)  41.918143  12.553394   \n",
      "247763   (41.91814290311675, 12.553394458256149)  41.918820  12.553194   \n",
      "247764  (41.918819798945336, 12.553193942315914)  41.918437  12.552735   \n",
      "247765  (41.918437109199125, 12.552735162429991)  41.918387  12.552757   \n",
      "247766    (41.91838691204311, 12.55275707639449)  41.915789  12.553935   \n",
      "247767   (41.91578898479147, 12.553934601693316)  41.917097  12.553751   \n",
      "247768   (41.91709709524229, 12.553750834780402)  41.918771  12.553362   \n",
      "247769   (41.91877125167764, 12.553362481522624)  41.918420  12.553088   \n",
      "247770   (41.91842042677227, 12.553087975616815)  41.917460  12.554002   \n",
      "247771    (41.91745967552807, 12.55400192492653)  41.918324  12.552584   \n",
      "247772   (41.91832416589648, 12.552584202136556)  41.917787  12.550722   \n",
      "247773    (41.91778706263362, 12.55072227876862)  41.917867  12.551908   \n",
      "247774   (41.917866994031634, 12.55190825222192)  41.918462  12.549736   \n",
      "247775    (41.9184624361566, 12.549736188141672)  41.920039  12.551296   \n",
      "247776   (41.92003900047165, 12.551296180144073)  41.919668  12.552846   \n",
      "247777    (41.91966806277914, 12.55284582193876)  41.919668  12.552846   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "247751     0.134892             0.001236           223  \n",
      "247752     0.103928             0.001130           223  \n",
      "247753     0.079357             0.000892           213  \n",
      "247754     0.144549             0.001360           218  \n",
      "247755     0.155917             0.001416           228  \n",
      "247756     0.193073             0.001846           225  \n",
      "247757     0.206059             0.002377           232  \n",
      "247758     0.268661             0.002946           191  \n",
      "247759     0.226500             0.002282           239  \n",
      "247760     0.047452             0.000429           207  \n",
      "247761     0.088916             0.001056           216  \n",
      "247762     0.180748             0.001979           178  \n",
      "247763     0.077002             0.000706           241  \n",
      "247764     0.057055             0.000597           230  \n",
      "247765     0.005864             0.000055           212  \n",
      "247766     0.304643             0.002852           216  \n",
      "247767     0.146092             0.001321           202  \n",
      "247768     0.188722             0.001719           236  \n",
      "247769     0.045133             0.000445           233  \n",
      "247770     0.130904             0.001326           230  \n",
      "247771     0.151829             0.001661           231  \n",
      "247772     0.165580             0.001938           210  \n",
      "247773     0.098785             0.001189           183  \n",
      "247774     0.191942             0.002252           206  \n",
      "247775     0.217741             0.002218           146  \n",
      "247776     0.134991             0.001593           168  \n",
      "247777     0.000000             0.000000           219  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "223754     227464  41.823433  12.478214     0   \n",
      "223755     227464  41.825170  12.479907   300   \n",
      "223756     227464  41.823254  12.479227   300   \n",
      "223757     227464  41.822625  12.479097   300   \n",
      "223758     227464  41.823408  12.479646   300   \n",
      "223759     227464  41.822316  12.479884   300   \n",
      "223760     227464  41.823676  12.481213   300   \n",
      "223761     227464  41.823732  12.478896   300   \n",
      "223762     227464  41.822873  12.479764   300   \n",
      "223763     227464  41.823025  12.480857   300   \n",
      "223764     227464  41.824475  12.479367   300   \n",
      "223765     227464  41.821827  12.480452   300   \n",
      "223766     227464  41.821173  12.478718   300   \n",
      "223767     227464  41.822470  12.478075   300   \n",
      "223768     227464  41.823377  12.479315   300   \n",
      "223769     227464  41.823404  12.478527   300   \n",
      "223770     227464  41.822723  12.480441   300   \n",
      "223771     227464  41.824700  12.478380   300   \n",
      "223772     227464  41.820929  12.478766   300   \n",
      "223773     227464  41.822715  12.479740   600   \n",
      "223774     227464  41.823428  12.480794   600   \n",
      "223775     227464  41.824149  12.480209   600   \n",
      "223776     227464  41.822300  12.478517   600   \n",
      "223777     227464  41.823789  12.479335   600   \n",
      "223778     227464  41.823676  12.481722   600   \n",
      "223779     227464  41.824163  12.480737   600   \n",
      "223780     227464  41.824362  12.479208   600   \n",
      "223781     227464  41.824006  12.479380   600   \n",
      "223782     227464  41.822676  12.480809   600   \n",
      "223783     227464  41.825690  12.481553   600   \n",
      "223784     227464  41.823222  12.481739   600   \n",
      "223785     227464  41.822528  12.481449   600   \n",
      "223786     227464  41.821812  12.479906   600   \n",
      "223787     227464  41.821801  12.481934   600   \n",
      "223788     227464  41.822760  12.480443   600   \n",
      "223789     227464  41.823315  12.479597   600   \n",
      "223790     227464  41.821615  12.480371   600   \n",
      "\n",
      "                                         lat-lon   lat_next   lon_next  \\\n",
      "223754   (41.82343299828808, 12.478213719897552)  41.825170  12.479907   \n",
      "223755   (41.825169995921385, 12.47990721414639)  41.823254  12.479227   \n",
      "223756    (41.8232540971747, 12.479227080884453)  41.822625  12.479097   \n",
      "223757    (41.8226248043571, 12.479096599735705)  41.823408  12.479646   \n",
      "223758   (41.82340823923177, 12.479646371419994)  41.822316  12.479884   \n",
      "223759   (41.82231605327179, 12.479884003310538)  41.823676  12.481213   \n",
      "223760   (41.82367644561338, 12.481212575593002)  41.823732  12.478896   \n",
      "223761   (41.82373213810298, 12.478896238073752)  41.822873  12.479764   \n",
      "223762     (41.8228726588106, 12.47976355194148)  41.823025  12.480857   \n",
      "223763   (41.823024520036384, 12.48085707927068)  41.824475  12.479367   \n",
      "223764   (41.82447491233702, 12.479367386158438)  41.821827  12.480452   \n",
      "223765   (41.82182716549433, 12.480451863272329)  41.821173  12.478718   \n",
      "223766   (41.82117258288463, 12.478718330612304)  41.822470  12.478075   \n",
      "223767   (41.82247033399937, 12.478075281302226)  41.823377  12.479315   \n",
      "223768    (41.82337692415251, 12.47931529763776)  41.823404  12.478527   \n",
      "223769   (41.82340438004042, 12.478527229744923)  41.822723  12.480441   \n",
      "223770   (41.82272346213117, 12.480441225712076)  41.824700  12.478380   \n",
      "223771  (41.824699571071925, 12.478379958902227)  41.820929  12.478766   \n",
      "223772   (41.82092900916265, 12.478766355981318)  41.822715  12.479740   \n",
      "223773   (41.82271539491457, 12.479739735759583)  41.823428  12.480794   \n",
      "223774  (41.823428020088215, 12.480794455808056)  41.824149  12.480209   \n",
      "223775     (41.82414880070349, 12.4802090768276)  41.822300  12.478517   \n",
      "223776   (41.82230038273266, 12.478516836887527)  41.823789  12.479335   \n",
      "223777   (41.82378940512984, 12.479334547369708)  41.823676  12.481722   \n",
      "223778   (41.82367578712152, 12.481721585274157)  41.824163  12.480737   \n",
      "223779    (41.82416254507252, 12.48073714903595)  41.824362  12.479208   \n",
      "223780    (41.8243620130632, 12.479208150353369)  41.824006  12.479380   \n",
      "223781   (41.82400615275456, 12.479380255326896)  41.822676  12.480809   \n",
      "223782   (41.82267615443645, 12.480809177726645)  41.825690  12.481553   \n",
      "223783   (41.82568959138702, 12.481553001213992)  41.823222  12.481739   \n",
      "223784   (41.82322185181263, 12.481738661867665)  41.822528  12.481449   \n",
      "223785   (41.82252816471091, 12.481449201775392)  41.821812  12.479906   \n",
      "223786   (41.82181192854336, 12.479906358627275)  41.821801  12.481934   \n",
      "223787    (41.82180103321803, 12.48193432519401)  41.822760  12.480443   \n",
      "223788   (41.82275981143195, 12.480443269299052)  41.823315  12.479597   \n",
      "223789   (41.82331509847678, 12.479596840127137)  41.821615  12.480371   \n",
      "223790  (41.821615056245015, 12.480370777467185)  41.821615  12.480371   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "223754     0.238780             0.002426           116  \n",
      "223755     0.220173             0.002033            66  \n",
      "223756     0.070731             0.000643           105  \n",
      "223757     0.098275             0.000957           113  \n",
      "223758     0.122905             0.001118           100  \n",
      "223759     0.187120             0.001902           110  \n",
      "223760     0.192539             0.002317            94  \n",
      "223761     0.119604             0.001221           100  \n",
      "223762     0.092403             0.001104           109  \n",
      "223763     0.203147             0.002079           104  \n",
      "223764     0.307577             0.002861            89  \n",
      "223765     0.161336             0.001853           112  \n",
      "223766     0.153723             0.001448           105  \n",
      "223767     0.144058             0.001536           123  \n",
      "223768     0.065543             0.000789           108  \n",
      "223769     0.176084             0.002032           111  \n",
      "223770     0.278388             0.002855           102  \n",
      "223771     0.420024             0.003790           107  \n",
      "223772     0.214261             0.002034            98  \n",
      "223773     0.118081             0.001273           111  \n",
      "223774     0.093671             0.000929           104  \n",
      "223775     0.248828             0.002506            90  \n",
      "223776     0.178795             0.001699           123  \n",
      "223777     0.198714             0.002390            98  \n",
      "223778     0.098040             0.001098           100  \n",
      "223779     0.128944             0.001542            85  \n",
      "223780     0.042032             0.000395            91  \n",
      "223781     0.189513             0.001952            97  \n",
      "223782     0.340359             0.003104           105  \n",
      "223783     0.274525             0.002475            51  \n",
      "223784     0.080714             0.000752           109  \n",
      "223785     0.150861             0.001701           111  \n",
      "223786     0.168491             0.002028           112  \n",
      "223787     0.163359             0.001773           120  \n",
      "223788     0.093536             0.001012           102  \n",
      "223789     0.199471             0.001868           101  \n",
      "223790     0.000000             0.000000           108  \n",
      "       tripIndex        lat        lon  time  \\\n",
      "31559     227850  41.924091  12.573169     0   \n",
      "31560     227850  41.926194  12.574319   121   \n",
      "31561     227850  41.926939  12.570865   242   \n",
      "31562     227850  41.927259  12.571648   364   \n",
      "31563     227850  41.927538  12.574308   364   \n",
      "31564     227850  41.925494  12.573573   364   \n",
      "\n",
      "                                       lat-lon   lat_next   lon_next  \\\n",
      "31559  (41.92409061591188, 12.573169248663715)  41.926194  12.574319   \n",
      "31560  (41.92619367837303, 12.574319209772812)  41.926939  12.570865   \n",
      "31561  (41.92693863819788, 12.570864974665566)  41.927259  12.571648   \n",
      "31562  (41.92725930296339, 12.571648436222528)  41.927538  12.574308   \n",
      "31563  (41.927538171711646, 12.57430765345627)  41.925494  12.573573   \n",
      "31564  (41.92549358433883, 12.573572915997383)  41.925494  12.573573   \n",
      "\n",
      "       distance_km  distance_in_minutes  number_trees  \n",
      "31559     0.252316             0.002397           287  \n",
      "31560     0.298224             0.003534           296  \n",
      "31561     0.074105             0.000847           301  \n",
      "31562     0.222733             0.002674           286  \n",
      "31563     0.235131             0.002173           265  \n",
      "31564     0.000000             0.000000           302  \n",
      "       tripIndex        lat        lon  time  \\\n",
      "81395     228398  41.916232  12.556637     0   \n",
      "81396     228398  41.915179  12.555767     0   \n",
      "81397     228398  41.913527  12.555617   120   \n",
      "\n",
      "                                       lat-lon   lat_next   lon_next  \\\n",
      "81395   (41.91623220708365, 12.55663652748522)  41.915179  12.555767   \n",
      "81396  (41.91517937104228, 12.555766709950117)  41.913527  12.555617   \n",
      "81397  (41.91352716084933, 12.555616752641331)  41.913527  12.555617   \n",
      "\n",
      "       distance_km  distance_in_minutes  number_trees  \n",
      "81395     0.137412             0.001366           188  \n",
      "81396     0.183935             0.001659           159  \n",
      "81397     0.000000             0.000000           156  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "162736     229613  41.831434  12.484346     0   \n",
      "162737     229613  41.831307  12.481189     0   \n",
      "162738     229613  41.831020  12.483720   108   \n",
      "162739     229613  41.829901  12.483588   108   \n",
      "162740     229613  41.829768  12.483277   221   \n",
      "162741     229613  41.828965  12.483303   221   \n",
      "\n",
      "                                         lat-lon   lat_next   lon_next  \\\n",
      "162736     (41.83143351064165, 12.4843459321105)  41.831307  12.481189   \n",
      "162737   (41.831307149201415, 12.48118860156955)  41.831020  12.483720   \n",
      "162738  (41.831019837747554, 12.483720448340788)  41.829901  12.483588   \n",
      "162739   (41.82990084765782, 12.483588434737426)  41.829768  12.483277   \n",
      "162740    (41.82976751453052, 12.48327657715122)  41.828965  12.483303   \n",
      "162741  (41.828965230079895, 12.483302923397364)  41.828965  12.483303   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "162736     0.262652             0.003160           132  \n",
      "162737     0.212726             0.002548           214  \n",
      "162738     0.124769             0.001127           143  \n",
      "162739     0.029840             0.000339           159  \n",
      "162740     0.089137             0.000803           157  \n",
      "162741     0.000000             0.000000           126  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "137108     230168  41.925707  12.572954     0   \n",
      "137109     230168  41.925699  12.574271     0   \n",
      "137110     230168  41.926230  12.573345   121   \n",
      "\n",
      "                                         lat-lon   lat_next   lon_next  \\\n",
      "137108  (41.925707038717086, 12.572954218848054)  41.925699  12.574271   \n",
      "137109   (41.92569911261089, 12.574270612569592)  41.926230  12.573345   \n",
      "137110   (41.92622953842968, 12.573345301096891)  41.926230  12.573345   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "137108     0.109195             0.001316           283  \n",
      "137109     0.096757             0.001067           319  \n",
      "137110     0.000000             0.000000           289  \n",
      "       tripIndex        lat        lon  time  \\\n",
      "39836     230853  41.883638  12.515951     0   \n",
      "39837     230853  41.883454  12.515197    72   \n",
      "39838     230853  41.884468  12.515085    72   \n",
      "39839     230853  41.884220  12.515243    72   \n",
      "39840     230853  41.882234  12.514838   115   \n",
      "39841     230853  41.882494  12.515061   115   \n",
      "39842     230853  41.884569  12.517612   163   \n",
      "39843     230853  41.884084  12.513193   163   \n",
      "39844     230853  41.883817  12.515820   234   \n",
      "39845     230853  41.883112  12.514349   234   \n",
      "39846     230853  41.882584  12.514888   234   \n",
      "39847     230853  41.883363  12.514735   307   \n",
      "39848     230853  41.883503  12.515734   307   \n",
      "39849     230853  41.884499  12.515177   317   \n",
      "39850     230853  41.884375  12.515675   338   \n",
      "39851     230853  41.883478  12.516500   433   \n",
      "39852     230853  41.884455  12.516358   433   \n",
      "39853     230853  41.883338  12.515986   509   \n",
      "39854     230853  41.883024  12.514572   509   \n",
      "39855     230853  41.885257  12.515182   542   \n",
      "39856     230853  41.883236  12.516509   583   \n",
      "39857     230853  41.883994  12.514968   583   \n",
      "39858     230853  41.884493  12.516887   583   \n",
      "39859     230853  41.882950  12.516192   623   \n",
      "39860     230853  41.882215  12.515999   623   \n",
      "39861     230853  41.882836  12.516018   643   \n",
      "39862     230853  41.885581  12.516019   643   \n",
      "39863     230853  41.884576  12.515565   643   \n",
      "39864     230853  41.884143  12.517266   653   \n",
      "39865     230853  41.882868  12.516353   653   \n",
      "39866     230853  41.882448  12.514448   672   \n",
      "39867     230853  41.883899  12.517645   672   \n",
      "39868     230853  41.883289  12.514648   743   \n",
      "39869     230853  41.882773  12.514838   743   \n",
      "39870     230853  41.881195  12.515819   743   \n",
      "39871     230853  41.884579  12.516023   773   \n",
      "39872     230853  41.883686  12.515461   773   \n",
      "39873     230853  41.884259  12.516620   773   \n",
      "39874     230853  41.882495  12.516398   773   \n",
      "39875     230853  41.881806  12.514907   792   \n",
      "39876     230853  41.883556  12.515682   792   \n",
      "39877     230853  41.882973  12.515001   933   \n",
      "39878     230853  41.883738  12.511486   951   \n",
      "39879     230853  41.880564  12.512411   979   \n",
      "39880     230853  41.877781  12.508399  1045   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "39836   (41.88363834009159, 12.515951288617185)  41.883454  12.515197   \n",
      "39837     (41.88345392107765, 12.5151972344647)  41.884468  12.515085   \n",
      "39838   (41.88446795220376, 12.515084616527322)  41.884220  12.515243   \n",
      "39839  (41.884220078275895, 12.515242863778235)  41.882234  12.514838   \n",
      "39840   (41.88223385939363, 12.514838387633755)  41.882494  12.515061   \n",
      "39841  (41.882494002615616, 12.515060834524888)  41.884569  12.517612   \n",
      "39842  (41.884569275697686, 12.517611894351262)  41.884084  12.513193   \n",
      "39843   (41.88408369178016, 12.513193110241073)  41.883817  12.515820   \n",
      "39844   (41.88381657001047, 12.515820468670473)  41.883112  12.514349   \n",
      "39845   (41.88311165009818, 12.514348601480949)  41.882584  12.514888   \n",
      "39846   (41.88258420253408, 12.514887958240037)  41.883363  12.514735   \n",
      "39847   (41.883362547044655, 12.51473517287902)  41.883503  12.515734   \n",
      "39848   (41.88350333624109, 12.515733532427642)  41.884499  12.515177   \n",
      "39849   (41.88449891461519, 12.515176639846167)  41.884375  12.515675   \n",
      "39850    (41.88437480776561, 12.51567524375452)  41.883478  12.516500   \n",
      "39851    (41.8834782749505, 12.516500369836375)  41.884455  12.516358   \n",
      "39852    (41.88445509518344, 12.51635804517356)  41.883338  12.515986   \n",
      "39853    (41.88333757601817, 12.51598571126688)  41.883024  12.514572   \n",
      "39854     (41.88302385767468, 12.5145717580407)  41.885257  12.515182   \n",
      "39855   (41.88525672009194, 12.515181614484671)  41.883236  12.516509   \n",
      "39856   (41.88323566098239, 12.516509496694315)  41.883994  12.514968   \n",
      "39857   (41.88399351726231, 12.514968420136062)  41.884493  12.516887   \n",
      "39858    (41.88449328764945, 12.51688716805688)  41.882950  12.516192   \n",
      "39859   (41.88295031502465, 12.516192372705534)  41.882215  12.515999   \n",
      "39860    (41.8822145526683, 12.515999314149854)  41.882836  12.516018   \n",
      "39861  (41.882835743408414, 12.516018096671344)  41.885581  12.516019   \n",
      "39862   (41.88558146083116, 12.516018794689378)  41.884576  12.515565   \n",
      "39863  (41.884576464456806, 12.515564537573326)  41.884143  12.517266   \n",
      "39864   (41.88414304777675, 12.517265926092517)  41.882868  12.516353   \n",
      "39865  (41.882868086380526, 12.516352755040046)  41.882448  12.514448   \n",
      "39866   (41.882448039581526, 12.51444803639688)  41.883899  12.517645   \n",
      "39867    (41.88389880787869, 12.51764503745506)  41.883289  12.514648   \n",
      "39868   (41.88328933332461, 12.514647870406328)  41.882773  12.514838   \n",
      "39869    (41.88277303137838, 12.51483785930064)  41.881195  12.515819   \n",
      "39870  (41.881195146989526, 12.515819248411706)  41.884579  12.516023   \n",
      "39871   (41.88457882443236, 12.516022677176007)  41.883686  12.515461   \n",
      "39872    (41.88368569399228, 12.51546069535912)  41.884259  12.516620   \n",
      "39873   (41.88425878398033, 12.516619903881116)  41.882495  12.516398   \n",
      "39874   (41.88249468848924, 12.516398091685272)  41.881806  12.514907   \n",
      "39875   (41.88180567454606, 12.514907150428405)  41.883556  12.515682   \n",
      "39876   (41.88355645384354, 12.515681514965078)  41.882973  12.515001   \n",
      "39877   (41.88297263900046, 12.515000794846532)  41.883738  12.511486   \n",
      "39878   (41.88373792076895, 12.511485807393242)  41.880564  12.512411   \n",
      "39879   (41.88056431612787, 12.512410826782224)  41.877781  12.508399   \n",
      "39880   (41.87778092507214, 12.508398716637767)  41.877781  12.508399   \n",
      "\n",
      "       distance_km  distance_in_minutes  number_trees  \n",
      "39836     0.065854             0.000776           155  \n",
      "39837     0.113017             0.001020           161  \n",
      "39838     0.030504             0.000294           154  \n",
      "39839     0.223151             0.002027           156  \n",
      "39840     0.034290             0.000342           122  \n",
      "39841     0.312996             0.003289           137  \n",
      "39842     0.370706             0.004445           201  \n",
      "39843     0.220083             0.002641           154  \n",
      "39844     0.145104             0.001632           159  \n",
      "39845     0.073731             0.000754           135  \n",
      "39846     0.087377             0.000793           132  \n",
      "39847     0.084328             0.001008           154  \n",
      "39848     0.119852             0.001141           154  \n",
      "39849     0.043620             0.000514           151  \n",
      "39850     0.120857             0.001218           161  \n",
      "39851     0.109138             0.000987           165  \n",
      "39852     0.127913             0.001178           175  \n",
      "39853     0.122425             0.001448           151  \n",
      "39854     0.253119             0.002315           138  \n",
      "39855     0.250078             0.002418           169  \n",
      "39856     0.153124             0.001717           171  \n",
      "39857     0.168654             0.001983           148  \n",
      "39858     0.180822             0.001692           186  \n",
      "39859     0.083278             0.000761           164  \n",
      "39860     0.069014             0.000621           157  \n",
      "39861     0.304970             0.002746           163  \n",
      "39862     0.117821             0.001103           187  \n",
      "39863     0.149196             0.001756           161  \n",
      "39864     0.160619             0.001568           198  \n",
      "39865     0.164837             0.001950           176  \n",
      "39866     0.310452             0.003511           117  \n",
      "39867     0.257816             0.003059           200  \n",
      "39868     0.059475             0.000550           148  \n",
      "39869     0.193263             0.001858           132  \n",
      "39870     0.376208             0.003390           137  \n",
      "39871     0.109620             0.001055           166  \n",
      "39872     0.115366             0.001293           155  \n",
      "39873     0.196803             0.001778           175  \n",
      "39874     0.145505             0.001642           174  \n",
      "39875     0.204808             0.001914           119  \n",
      "39876     0.086007             0.000897           155  \n",
      "39877     0.303881             0.003597           145  \n",
      "39878     0.360761             0.003306           159  \n",
      "39879     0.454410             0.004883           131  \n",
      "39880     0.000000             0.000000            91  \n",
      "       tripIndex        lat        lon  time  \\\n",
      "42575     233110  41.880876  12.540834     0   \n",
      "42576     233110  41.880008  12.541652    53   \n",
      "42577     233110  41.879243  12.542806    62   \n",
      "42578     233110  41.879897  12.541129   129   \n",
      "42579     233110  41.879041  12.542039   139   \n",
      "42580     233110  41.879716  12.542364   145   \n",
      "42581     233110  41.877622  12.540014   189   \n",
      "42582     233110  41.878834  12.539970   276   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "42575   (41.88087576581091, 12.540833608798104)  41.880008  12.541652   \n",
      "42576   (41.88000773942999, 12.541651546156755)  41.879243  12.542806   \n",
      "42577     (41.8792426775495, 12.54280579475376)  41.879897  12.541129   \n",
      "42578   (41.87989703993156, 12.541129479979276)  41.879041  12.542039   \n",
      "42579    (41.87904084783251, 12.54203926595846)  41.879716  12.542364   \n",
      "42580  (41.879716193393385, 12.542363541497084)  41.877622  12.540014   \n",
      "42581   (41.87762210915779, 12.540013869582586)  41.878834  12.539970   \n",
      "42582     (41.8788344456395, 12.53997047403758)  41.878834  12.539970   \n",
      "\n",
      "       distance_km  distance_in_minutes  number_trees  \n",
      "42575     0.117919             0.001193           161  \n",
      "42576     0.128065             0.001385           147  \n",
      "42577     0.156984             0.001800           167  \n",
      "42578     0.121436             0.001249           149  \n",
      "42579     0.079695             0.000749           150  \n",
      "42580     0.303546             0.003147           163  \n",
      "42581     0.134704             0.001213           216  \n",
      "42582     0.000000             0.000000           202  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "123233     234734  41.880221  12.562851     0   \n",
      "123234     234734  41.879774  12.562208     0   \n",
      "123235     234734  41.879339  12.559864   136   \n",
      "123236     234734  41.880839  12.560862   136   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "123233    (41.8802207811966, 12.56285079060684)  41.879774  12.562208   \n",
      "123234  (41.87977447154379, 12.562207852570651)  41.879339  12.559864   \n",
      "123235  (41.87933944915101, 12.559863507269633)  41.880839  12.560862   \n",
      "123236  (41.88083882817595, 12.560861568349502)  41.880839  12.560862   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "123233     0.072839             0.000783           152  \n",
      "123234     0.200506             0.002384           160  \n",
      "123235     0.186006             0.001801           177  \n",
      "123236     0.000000             0.000000           128  \n",
      "       tripIndex        lat        lon  time  \\\n",
      "90425     241393  41.880307  12.543206     0   \n",
      "90426     241393  41.879646  12.542315     3   \n",
      "90427     241393  41.882147  12.542286     3   \n",
      "90428     241393  41.880122  12.541595     3   \n",
      "90429     241393  41.882496  12.542645     3   \n",
      "90430     241393  41.880819  12.542343    38   \n",
      "90431     241393  41.882407  12.539993   269   \n",
      "\n",
      "                                       lat-lon   lat_next   lon_next  \\\n",
      "90425  (41.88030680837733, 12.543206099051178)  41.879646  12.542315   \n",
      "90426  (41.87964634515311, 12.542315239042496)  41.882147  12.542286   \n",
      "90427  (41.88214745330067, 12.542286412259338)  41.880122  12.541595   \n",
      "90428  (41.88012229534605, 12.541595045121944)  41.882496  12.542645   \n",
      "90429  (41.88249642316322, 12.542644935285733)  41.880819  12.542343   \n",
      "90430  (41.88081875967696, 12.542342529186934)  41.882407  12.539993   \n",
      "90431  (41.88240739595049, 12.539992629222358)  41.882407  12.539993   \n",
      "\n",
      "       distance_km  distance_in_minutes  number_trees  \n",
      "90425     0.104161             0.001109           181  \n",
      "90426     0.277811             0.002501           166  \n",
      "90427     0.232141             0.002140           146  \n",
      "90428     0.277723             0.002596           146  \n",
      "90429     0.188023             0.001705           153  \n",
      "90430     0.263021             0.002837           151  \n",
      "90431     0.000000             0.000000           163  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "215870     241516  41.898668  12.500604     0   \n",
      "215871     241516  41.896839  12.500344     0   \n",
      "215872     241516  41.899565  12.499023     0   \n",
      "215873     241516  41.897179  12.499226     0   \n",
      "215874     241516  41.898939  12.497375     0   \n",
      "215875     241516  41.898091  12.496649     0   \n",
      "215876     241516  41.898483  12.497969     0   \n",
      "215877     241516  41.898678  12.500484     0   \n",
      "215878     241516  41.898749  12.500120     0   \n",
      "215879     241516  41.901482  12.498799     0   \n",
      "215880     241516  41.900745  12.499659     0   \n",
      "215881     241516  41.900688  12.498870     0   \n",
      "215882     241516  41.899660  12.497799     0   \n",
      "215883     241516  41.898512  12.498650     0   \n",
      "215884     241516  41.900140  12.500575     0   \n",
      "215885     241516  41.899147  12.497663     0   \n",
      "215886     241516  41.898789  12.498399     0   \n",
      "215887     241516  41.898228  12.499240     0   \n",
      "215888     241516  41.898899  12.499976   122   \n",
      "215889     241516  41.898736  12.497374   122   \n",
      "215890     241516  41.898545  12.499680   122   \n",
      "215891     241516  41.898384  12.498549   122   \n",
      "215892     241516  41.898011  12.497085   122   \n",
      "215893     241516  41.896839  12.499866   122   \n",
      "215894     241516  41.897286  12.500117   122   \n",
      "215895     241516  41.899855  12.499561   122   \n",
      "215896     241516  41.897892  12.500561   122   \n",
      "215897     241516  41.898927  12.498908   122   \n",
      "215898     241516  41.898200  12.499392   122   \n",
      "215899     241516  41.898634  12.499266   122   \n",
      "215900     241516  41.898994  12.500340   122   \n",
      "215901     241516  41.897709  12.499587   122   \n",
      "215902     241516  41.899517  12.498902   122   \n",
      "215903     241516  41.897675  12.498668   122   \n",
      "215904     241516  41.898895  12.497890   122   \n",
      "215905     241516  41.899029  12.500171   122   \n",
      "\n",
      "                                         lat-lon   lat_next   lon_next  \\\n",
      "215870   (41.89866750318401, 12.500604039971714)  41.896839  12.500344   \n",
      "215871   (41.89683937787557, 12.500343591132284)  41.899565  12.499023   \n",
      "215872     (41.899565195859, 12.499022993959374)  41.897179  12.499226   \n",
      "215873   (41.89717922299718, 12.499226360795635)  41.898939  12.497375   \n",
      "215874     (41.898939125498, 12.497375428535188)  41.898091  12.496649   \n",
      "215875   (41.89809051165978, 12.496648651211563)  41.898483  12.497969   \n",
      "215876   (41.89848297799169, 12.497968909000454)  41.898678  12.500484   \n",
      "215877   (41.89867826890176, 12.500483805338536)  41.898749  12.500120   \n",
      "215878    (41.8987493899156, 12.500120296837212)  41.901482  12.498799   \n",
      "215879  (41.901482388633205, 12.498799119447993)  41.900745  12.499659   \n",
      "215880   (41.90074545438264, 12.499658633648949)  41.900688  12.498870   \n",
      "215881   (41.90068814660115, 12.498869787867854)  41.899660  12.497799   \n",
      "215882   (41.89966024003285, 12.497799215531195)  41.898512  12.498650   \n",
      "215883   (41.89851215492399, 12.498649600791405)  41.900140  12.500575   \n",
      "215884  (41.900140426449774, 12.500575216450454)  41.899147  12.497663   \n",
      "215885    (41.8991473515284, 12.497662779028136)  41.898789  12.498399   \n",
      "215886     (41.89878921820493, 12.4983985262783)  41.898228  12.499240   \n",
      "215887   (41.898228051797695, 12.49924028493451)  41.898899  12.499976   \n",
      "215888   (41.89889896248578, 12.499976215020636)  41.898736  12.497374   \n",
      "215889   (41.89873561464034, 12.497373824663384)  41.898545  12.499680   \n",
      "215890   (41.89854476274326, 12.499679765703371)  41.898384  12.498549   \n",
      "215891   (41.89838363876298, 12.498549024898256)  41.898011  12.497085   \n",
      "215892   (41.89801072036542, 12.497085260658856)  41.896839  12.499866   \n",
      "215893   (41.89683853206897, 12.499865945449924)  41.897286  12.500117   \n",
      "215894  (41.897285680548485, 12.500117210580209)  41.899855  12.499561   \n",
      "215895  (41.899854587112735, 12.499560909203826)  41.897892  12.500561   \n",
      "215896  (41.897891668606064, 12.500561187931442)  41.898927  12.498908   \n",
      "215897   (41.89892653560814, 12.498907970094638)  41.898200  12.499392   \n",
      "215898   (41.89819962173652, 12.499391961120777)  41.898634  12.499266   \n",
      "215899   (41.89863367449459, 12.499266024177745)  41.898994  12.500340   \n",
      "215900    (41.89899401667444, 12.50034034293848)  41.897709  12.499587   \n",
      "215901   (41.89770866600729, 12.499587334735056)  41.899517  12.498902   \n",
      "215902    (41.89951703578223, 12.49890240468472)  41.897675  12.498668   \n",
      "215903   (41.89767465384193, 12.498667933196408)  41.898895  12.497890   \n",
      "215904   (41.89889451202729, 12.497890367040748)  41.899029  12.500171   \n",
      "215905   (41.89902852063277, 12.500170961165516)  41.899029  12.500171   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "215870     0.204199             0.001847            16  \n",
      "215871     0.321983             0.003029            29  \n",
      "215872     0.265550             0.002395            27  \n",
      "215873     0.248600             0.002554            25  \n",
      "215874     0.111900             0.001117            16  \n",
      "215875     0.117912             0.001377            22  \n",
      "215876     0.209816             0.002522            14  \n",
      "215877     0.031182             0.000370            16  \n",
      "215878     0.322748             0.003036            11  \n",
      "215879     0.108566             0.001132           101  \n",
      "215880     0.065767             0.000791            64  \n",
      "215881     0.144661             0.001484            64  \n",
      "215882     0.145742             0.001429            21  \n",
      "215883     0.241332             0.002522            20  \n",
      "215884     0.265658             0.003077            38  \n",
      "215885     0.072869             0.000818            15  \n",
      "215886     0.093617             0.001012            14  \n",
      "215887     0.096346             0.000996            17  \n",
      "215888     0.216712             0.002608             7  \n",
      "215889     0.192522             0.002314            14  \n",
      "215890     0.095523             0.001142            11  \n",
      "215891     0.128335             0.001511            20  \n",
      "215892     0.264948             0.003018            17  \n",
      "215893     0.053865             0.000513            27  \n",
      "215894     0.289042             0.002628            23  \n",
      "215895     0.233290             0.002203            24  \n",
      "215896     0.178977             0.001950            20  \n",
      "215897     0.090177             0.000873            14  \n",
      "215898     0.049330             0.000452            17  \n",
      "215899     0.097721             0.001133            14  \n",
      "215900     0.155842             0.001490            10  \n",
      "215901     0.208745             0.001934            19  \n",
      "215902     0.205559             0.001857            27  \n",
      "215903     0.150071             0.001447            24  \n",
      "215904     0.189832             0.002285            12  \n",
      "215905     0.000000             0.000000             9  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "235155     246860  41.903690  12.484857     0   \n",
      "235156     246860  41.904656  12.483348     4   \n",
      "235157     246860  41.905211  12.482502     4   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "235155  (41.90369033321803, 12.484857325194008)  41.904656  12.483348   \n",
      "235156  (41.90465571143195, 12.483348069299051)  41.905211  12.482502   \n",
      "235157  (41.90521099847678, 12.482501640127136)  41.905211  12.482502   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "235155     0.164864             0.001792            18  \n",
      "235156     0.093469             0.001012            27  \n",
      "235157     0.000000             0.000000            35  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "214626     248245  41.878991  12.530591     0   \n",
      "214627     248245  41.877978  12.529952    58   \n",
      "214628     248245  41.878774  12.528678    66   \n",
      "\n",
      "                                         lat-lon   lat_next   lon_next  \\\n",
      "214626   (41.87899073847769, 12.530591350089228)  41.877978  12.529952   \n",
      "214627  (41.877978441090406, 12.529951612073852)  41.878774  12.528678   \n",
      "214628   (41.87877446973572, 12.528677748205697)  41.878774  12.528678   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "214626     0.124346             0.001198           125  \n",
      "214627     0.137835             0.001502           131  \n",
      "214628     0.000000             0.000000           133  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "107101     248916  41.884886  12.512597     0   \n",
      "107102     248916  41.886894  12.512737   158   \n",
      "107103     248916  41.886672  12.511887   158   \n",
      "107104     248916  41.887475  12.511344   179   \n",
      "107105     248916  41.886278  12.510561   179   \n",
      "107106     248916  41.887580  12.512343   248   \n",
      "107107     248916  41.887533  12.511135   248   \n",
      "\n",
      "                                         lat-lon   lat_next   lon_next  \\\n",
      "107101   (41.88488636806887, 12.512596892381673)  41.886894  12.512737   \n",
      "107102  (41.886893597383626, 12.512736563149964)  41.886672  12.511887   \n",
      "107103   (41.88667172161446, 12.511886598599732)  41.887475  12.511344   \n",
      "107104    (41.88747479246863, 12.51134442576348)  41.886278  12.510561   \n",
      "107105   (41.88627766670792, 12.510560961934702)  41.887580  12.512343   \n",
      "107106   (41.88758026017953, 12.512343270455869)  41.887533  12.511135   \n",
      "107107  (41.887532999382366, 12.511134744176433)  41.887533  12.511135   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "107101     0.223246             0.002012           165  \n",
      "107102     0.074726             0.000878           272  \n",
      "107103     0.099906             0.000969           239  \n",
      "107104     0.148014             0.001431           231  \n",
      "107105     0.206917             0.002208           176  \n",
      "107106     0.100441             0.001209           249  \n",
      "107107     0.000000             0.000000           226  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "108272     249980  41.867133  12.536820     0   \n",
      "108273     249980  41.866443  12.536819     0   \n",
      "108274     249980  41.866811  12.536677     0   \n",
      "108275     249980  41.867191  12.537785    70   \n",
      "108276     249980  41.867157  12.536283    70   \n",
      "\n",
      "                                         lat-lon   lat_next   lon_next  \\\n",
      "108272     (41.86713250212657, 12.5368197914705)  41.866443  12.536819   \n",
      "108273   (41.86644282115003, 12.536819150342248)  41.866811  12.536677   \n",
      "108274   (41.86681101229175, 12.536677235162166)  41.867191  12.537785   \n",
      "108275  (41.867190781927725, 12.537784704160003)  41.867157  12.536283   \n",
      "108276   (41.86715724340005, 12.536283076531207)  41.867157  12.536283   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "108272     0.076603             0.000690           161  \n",
      "108273     0.042559             0.000395           156  \n",
      "108274     0.101159             0.001171           157  \n",
      "108275     0.124725             0.001502           156  \n",
      "108276     0.000000             0.000000           156  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "233877     256135  41.927469  12.515112     0   \n",
      "233878     256135  41.926933  12.512437     0   \n",
      "233879     256135  41.925397  12.516330     0   \n",
      "233880     256135  41.926443  12.513379     0   \n",
      "233881     256135  41.926410  12.514477     0   \n",
      "...           ...        ...        ...   ...   \n",
      "234182     256135  41.926805  12.513682   842   \n",
      "234183     256135  41.927998  12.513493   842   \n",
      "234184     256135  41.928639  12.514141   842   \n",
      "234185     256135  41.928398  12.514941   842   \n",
      "234186     256135  41.927196  12.514900   842   \n",
      "\n",
      "                                         lat-lon   lat_next   lon_next  \\\n",
      "233877  (41.927469278287546, 12.515111837121356)  41.926933  12.512437   \n",
      "233878   (41.92693306093346, 12.512437278990612)  41.925397  12.516330   \n",
      "233879   (41.92539727214534, 12.516330499077224)  41.926443  12.513379   \n",
      "233880   (41.92644330692074, 12.513379493846012)  41.926410  12.514477   \n",
      "233881  (41.926410220265765, 12.514477226748513)  41.927866  12.513906   \n",
      "...                                          ...        ...        ...   \n",
      "234182     (41.92680464427797, 12.5136823098155)  41.927998  12.513493   \n",
      "234183   (41.92799797486606, 12.513493462990777)  41.928639  12.514141   \n",
      "234184  (41.928639007714445, 12.514140708651594)  41.928398  12.514941   \n",
      "234185   (41.92839774245321, 12.514941043987823)  41.927196  12.514900   \n",
      "234186   (41.92719639836868, 12.514899651514831)  41.927196  12.514900   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "233877     0.229697             0.002728            54  \n",
      "233878     0.365214             0.004185           140  \n",
      "233879     0.270951             0.003131            72  \n",
      "233880     0.091127             0.001098            97  \n",
      "233881     0.168547             0.001564            63  \n",
      "...             ...                  ...           ...  \n",
      "234182     0.133468             0.001208            84  \n",
      "234183     0.089172             0.000911            84  \n",
      "234184     0.071587             0.000836            73  \n",
      "234185     0.133480             0.001202            63  \n",
      "234186     0.000000             0.000000            46  \n",
      "\n",
      "[310 rows x 10 columns]\n",
      "      tripIndex        lat        lon  time  \\\n",
      "944      258387  41.889019  12.514312     0   \n",
      "945      258387  41.888479  12.514764    20   \n",
      "946      258387  41.886865  12.514674    65   \n",
      "947      258387  41.888529  12.516492    65   \n",
      "948      258387  41.888077  12.515856    76   \n",
      "...         ...        ...        ...   ...   \n",
      "1006     258387  41.886232  12.515138  1953   \n",
      "1007     258387  41.887319  12.513468  2078   \n",
      "1008     258387  41.889422  12.514706  2220   \n",
      "1009     258387  41.889419  12.513364  2220   \n",
      "1010     258387  41.888692  12.516656  2239   \n",
      "\n",
      "                                      lat-lon   lat_next   lon_next  \\\n",
      "944   (41.88901899456162, 12.514312174781503)  41.888479  12.514764   \n",
      "945    (41.88847934468744, 12.51476425613533)  41.886865  12.514674   \n",
      "946   (41.88686469230921, 12.514673547200676)  41.888529  12.516492   \n",
      "947    (41.88852878316281, 12.51649178800005)  41.888077  12.515856   \n",
      "948   (41.88807701300964, 12.515856089371775)  41.888052  12.514937   \n",
      "...                                       ...        ...        ...   \n",
      "1006    (41.88623180576015, 12.5151384384002)  41.887319  12.513468   \n",
      "1007  (41.88731902528076, 12.513467736059914)  41.889422  12.514706   \n",
      "1008  (41.88942237971486, 12.514705976614753)  41.889419  12.513364   \n",
      "1009   (41.88941881913428, 12.51336356922457)  41.888692  12.516656   \n",
      "1010  (41.88869208826441, 12.516655677633636)  41.888692  12.516656   \n",
      "\n",
      "      distance_km  distance_in_minutes  number_trees  \n",
      "944      0.070714             0.000704           267  \n",
      "945      0.179499             0.001617           249  \n",
      "946      0.238613             0.002465           245  \n",
      "947      0.072812             0.000780           207  \n",
      "948      0.076333             0.000919           217  \n",
      "...           ...                  ...           ...  \n",
      "1006     0.183876             0.001993           210  \n",
      "1007     0.255226             0.002441           282  \n",
      "1008     0.111413             0.001342           252  \n",
      "1009     0.284901             0.003371           233  \n",
      "1010     0.000000             0.000000           199  \n",
      "\n",
      "[67 rows x 10 columns]\n",
      "        tripIndex        lat        lon  time  \\\n",
      "175151     261174  41.912977  12.500109     0   \n",
      "175152     261174  41.914593  12.502098     0   \n",
      "175153     261174  41.914994  12.499253    81   \n",
      "175154     261174  41.913557  12.500218    81   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "175151  (41.91297727506258, 12.500108930320277)  41.914593  12.502098   \n",
      "175152  (41.91459320124654, 12.502098309039276)  41.914994  12.499253   \n",
      "175153  (41.91499353500322, 12.499253116473126)  41.913557  12.500218   \n",
      "175154  (41.91355726439728, 12.500217718058002)  41.913557  12.500218   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "175151     0.243832             0.002563            85  \n",
      "175152     0.240192             0.002873           106  \n",
      "175153     0.178475             0.001730           125  \n",
      "175154     0.000000             0.000000           106  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "243679     262018  41.931694  12.508180     0   \n",
      "243680     262018  41.931328  12.511798     0   \n",
      "243681     262018  41.930476  12.510094   165   \n",
      "243682     262018  41.930927  12.509804   165   \n",
      "\n",
      "                                         lat-lon   lat_next   lon_next  \\\n",
      "243679   (41.93169439009062, 12.508180117956876)  41.931328  12.511798   \n",
      "243680    (41.9313283079128, 12.511798387879535)  41.930476  12.510094   \n",
      "243681  (41.930476328884126, 12.510094014302604)  41.930927  12.509804   \n",
      "243682   (41.93092702188975, 12.509803507920198)  41.930927  12.509804   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "243679     0.302840             0.003637           177  \n",
      "243680     0.170112             0.001905           156  \n",
      "243681     0.055556             0.000536           173  \n",
      "243682     0.000000             0.000000           171  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "244772     262376  41.917895  12.503313     0   \n",
      "244773     262376  41.919327  12.503783     0   \n",
      "244774     262376  41.919708  12.501975   121   \n",
      "244775     262376  41.920267  12.502593   121   \n",
      "\n",
      "                                         lat-lon   lat_next   lon_next  \\\n",
      "244772   (41.91789535057733, 12.503313360555897)  41.919327  12.503783   \n",
      "244773  (41.919327219142936, 12.503782634536664)  41.919708  12.501975   \n",
      "244774   (41.91970821994014, 12.501974745030967)  41.920267  12.502593   \n",
      "244775   (41.92026668413792, 12.502592619769407)  41.920267  12.502593   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "244772     0.163735             0.001507           174  \n",
      "244773     0.155830             0.001848           207  \n",
      "244774     0.080466             0.000833           189  \n",
      "244775     0.000000             0.000000           203  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "188256     263453  41.940972  12.520002     0   \n",
      "188257     263453  41.941718  12.519184     8   \n",
      "188258     263453  41.942695  12.519407    11   \n",
      "188259     263453  41.940911  12.519899   120   \n",
      "\n",
      "                                         lat-lon   lat_next   lon_next  \\\n",
      "188256  (41.940971966734494, 12.520001904587652)  41.941718  12.519184   \n",
      "188257    (41.94171778137226, 12.51918373201791)  41.942695  12.519407   \n",
      "188258    (41.94269474085685, 12.51940655463507)  41.940911  12.519899   \n",
      "188259   (41.94091073695398, 12.519898817953733)  41.940911  12.519899   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "188256     0.107078             0.001107           135  \n",
      "188257     0.110075             0.001002           149  \n",
      "188258     0.202314             0.001851           135  \n",
      "188259     0.000000             0.000000           142  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "181155     263871  41.882779  12.590209     0   \n",
      "181156     263871  41.880658  12.587645    34   \n",
      "181157     263871  41.883787  12.587893    48   \n",
      "181158     263871  41.880851  12.588502    65   \n",
      "181159     263871  41.884187  12.587099   302   \n",
      "181160     263871  41.881992  12.587973   302   \n",
      "181161     263871  41.882317  12.588481   605   \n",
      "181162     263871  41.880763  12.587139   904   \n",
      "181163     263871  41.883776  12.589379   905   \n",
      "181164     263871  41.882159  12.588244  1203   \n",
      "181165     263871  41.881713  12.589077  1203   \n",
      "181166     263871  41.884144  12.588851  1226   \n",
      "181167     263871  41.881710  12.589368  1506   \n",
      "181168     263871  41.880934  12.589274  1506   \n",
      "181169     263871  41.880800  12.587303  1802   \n",
      "181170     263871  41.881924  12.587408  1802   \n",
      "181171     263871  41.881380  12.588631  1927   \n",
      "181172     263871  41.882100  12.588190  2119   \n",
      "181173     263871  41.884028  12.588735  2119   \n",
      "181174     263871  41.885340  12.589314  2401   \n",
      "181175     263871  41.883957  12.590570  2401   \n",
      "\n",
      "                                         lat-lon   lat_next   lon_next  \\\n",
      "181155    (41.88277855481389, 12.59020934665599)  41.880658  12.587645   \n",
      "181156    (41.8806575210736, 12.587644826758584)  41.883787  12.587893   \n",
      "181157  (41.883787471943705, 12.587893145511377)  41.880851  12.588502   \n",
      "181158  (41.880851298848825, 12.588501549271678)  41.884187  12.587099   \n",
      "181159   (41.88418674259298, 12.587099128491747)  41.881992  12.587973   \n",
      "181160    (41.88199223194253, 12.58797275675518)  41.882317  12.588481   \n",
      "181161  (41.882317484812845, 12.588480969683198)  41.880763  12.587139   \n",
      "181162   (41.88076265269435, 12.587138862159245)  41.883776  12.589379   \n",
      "181163  (41.883776488230566, 12.589379273950213)  41.882159  12.588244   \n",
      "181164   (41.88215867927213, 12.588244175341362)  41.881713  12.589077   \n",
      "181165   (41.88171270640225, 12.589076859805196)  41.884144  12.588851   \n",
      "181166   (41.88414387392185, 12.588851409031486)  41.881710  12.589368   \n",
      "181167   (41.88170991639422, 12.589367880198186)  41.880934  12.589274   \n",
      "181168  (41.880933905515214, 12.589273708919578)  41.880800  12.587303   \n",
      "181169  (41.880800237761605, 12.587303235501455)  41.881924  12.587408   \n",
      "181170   (41.88192415676305, 12.587407828637446)  41.881380  12.588631   \n",
      "181171  (41.881380383636575, 12.588631431535918)  41.882100  12.588190   \n",
      "181172    (41.88210028074419, 12.58819045449522)  41.884028  12.588735   \n",
      "181173       (41.88402841818, 12.58873530213148)  41.885340  12.589314   \n",
      "181174   (41.88534008549792, 12.589313844327986)  41.883957  12.590570   \n",
      "181175   (41.88395742937154, 12.590569702686649)  41.883957  12.590570   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "181155     0.317509             0.003328           450  \n",
      "181156     0.348257             0.003140           452  \n",
      "181157     0.330010             0.002999           488  \n",
      "181158     0.388328             0.003618           468  \n",
      "181159     0.254304             0.002362           464  \n",
      "181160     0.055539             0.000603           514  \n",
      "181161     0.205510             0.002054           486  \n",
      "181162     0.382935             0.003755           430  \n",
      "181163     0.202893             0.001976           476  \n",
      "181164     0.085033             0.000945           480  \n",
      "181165     0.270680             0.002442           498  \n",
      "181166     0.273720             0.002488           478  \n",
      "181167     0.086546             0.000782           468  \n",
      "181168     0.164232             0.001975           432  \n",
      "181169     0.125136             0.001129           450  \n",
      "181170     0.118166             0.001339           502  \n",
      "181171     0.087939             0.000844           502  \n",
      "181172     0.218883             0.002004           486  \n",
      "181173     0.153398             0.001434           478  \n",
      "181174     0.185607             0.001868           506  \n",
      "181175     0.000000             0.000000           410  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "206917     269448  41.821075  12.440853     0   \n",
      "206918     269448  41.819595  12.442547     1   \n",
      "206919     269448  41.822034  12.442920    16   \n",
      "206920     269448  41.821636  12.441253    20   \n",
      "206921     269448  41.822346  12.442648    40   \n",
      "206922     269448  41.819969  12.439919    59   \n",
      "206923     269448  41.821821  12.443245   182   \n",
      "206924     269448  41.821470  12.442550   182   \n",
      "206925     269448  41.821543  12.443921   249   \n",
      "206926     269448  41.820989  12.441267   265   \n",
      "206927     269448  41.819735  12.442889   266   \n",
      "\n",
      "                                         lat-lon   lat_next   lon_next  \\\n",
      "206917   (41.82107460150294, 12.440852936787056)  41.819595  12.442547   \n",
      "206918    (41.81959538537453, 12.44254704318926)  41.822034  12.442920   \n",
      "206919  (41.822033932973845, 12.442919798888443)  41.821636  12.441253   \n",
      "206920    (41.82163555384786, 12.44125330826692)  41.822346  12.442648   \n",
      "206921   (41.82234565884423, 12.442648101525355)  41.819969  12.439919   \n",
      "206922   (41.81996900946984, 12.439919382294708)  41.821821  12.443245   \n",
      "206923   (41.82182077011402, 12.443245464157904)  41.821470  12.442550   \n",
      "206924   (41.82146957030292, 12.442550381959174)  41.821543  12.443921   \n",
      "206925   (41.82154302002007, 12.443920765449096)  41.820989  12.441267   \n",
      "206926   (41.82098880476535, 12.441266703187887)  41.819735  12.442889   \n",
      "206927   (41.81973522559115, 12.442888731985027)  41.819735  12.442889   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "206917     0.216343             0.002249           136  \n",
      "206918     0.272614             0.002467           136  \n",
      "206919     0.145353             0.001713           145  \n",
      "206920     0.140175             0.001565           133  \n",
      "206921     0.347964             0.003619           140  \n",
      "206922     0.344479             0.003807           139  \n",
      "206923     0.069689             0.000779           151  \n",
      "206924     0.114146             0.001372           143  \n",
      "206925     0.228936             0.002711           152  \n",
      "206926     0.193772             0.002050           141  \n",
      "206927     0.000000             0.000000           137  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "245815     270388  41.885664  12.515305     0   \n",
      "245816     270388  41.885967  12.515350     0   \n",
      "245817     270388  41.883348  12.515339    73   \n",
      "245818     270388  41.884657  12.514405    73   \n",
      "245819     270388  41.886637  12.515709    84   \n",
      "245820     270388  41.884062  12.515927    84   \n",
      "245821     270388  41.883088  12.515908   109   \n",
      "245822     270388  41.884664  12.514775   109   \n",
      "245823     270388  41.886894  12.514082   122   \n",
      "245824     270388  41.884888  12.515803   122   \n",
      "245825     270388  41.886318  12.516176   233   \n",
      "245826     270388  41.885639  12.515242   233   \n",
      "245827     270388  41.887927  12.514720   268   \n",
      "245828     270388  41.885671  12.511968   369   \n",
      "245829     270388  41.888045  12.513018   369   \n",
      "245830     270388  41.886381  12.512602   399   \n",
      "245831     270388  41.886581  12.511846   535   \n",
      "245832     270388  41.886517  12.511890   535   \n",
      "245833     270388  41.885395  12.512041   535   \n",
      "245834     270388  41.887315  12.507881   676   \n",
      "245835     270388  41.886071  12.510234   693   \n",
      "245836     270388  41.886846  12.510675   693   \n",
      "245837     270388  41.883554  12.506697   804   \n",
      "245838     270388  41.884602  12.509873   818   \n",
      "245839     270388  41.885631  12.509213   835   \n",
      "245840     270388  41.888142  12.508576   937   \n",
      "245841     270388  41.886770  12.509306   957   \n",
      "245842     270388  41.884988  12.510739  1104   \n",
      "245843     270388  41.885806  12.510544  1104   \n",
      "\n",
      "                                         lat-lon   lat_next   lon_next  \\\n",
      "245815   (41.88566386766581, 12.515305190189904)  41.885967  12.515350   \n",
      "245816   (41.88596738407887, 12.515349915941814)  41.883348  12.515339   \n",
      "245817  (41.883347822434416, 12.515338624032088)  41.884657  12.514405   \n",
      "245818   (41.88465677961577, 12.514404881234231)  41.886637  12.515709   \n",
      "245819   (41.88663659203799, 12.515709086872628)  41.884062  12.515927   \n",
      "245820  (41.884062294798895, 12.515926991064353)  41.883088  12.515908   \n",
      "245821   (41.88308754678789, 12.515907843347232)  41.884664  12.514775   \n",
      "245822   (41.88466387172812, 12.514775145787343)  41.886894  12.514082   \n",
      "245823   (41.88689379815462, 12.514082109005034)  41.884888  12.515803   \n",
      "245824    (41.88488824533622, 12.51580339312433)  41.886318  12.516176   \n",
      "245825   (41.88631800837734, 12.516175799051178)  41.885639  12.515242   \n",
      "245826   (41.88563904515311, 12.515242139042495)  41.887927  12.514720   \n",
      "245827   (41.887927153300666, 12.51472041225934)  41.885671  12.511968   \n",
      "245828   (41.88567099534605, 12.511967845121946)  41.888045  12.513018   \n",
      "245829   (41.88804512316322, 12.513017735285734)  41.886381  12.512602   \n",
      "245830   (41.88638065967695, 12.512602229186934)  41.886581  12.511846   \n",
      "245831   (41.88658099595049, 12.511845729222358)  41.886517  12.511890   \n",
      "245832   (41.886516620326695, 12.51189019352562)  41.885395  12.512041   \n",
      "245833   (41.88539539456543, 12.512040519151371)  41.887315  12.507881   \n",
      "245834   (41.88731532402904, 12.507880566751894)  41.886071  12.510234   \n",
      "245835   (41.88607127266204, 12.510234485228674)  41.886846  12.510675   \n",
      "245836   (41.88684615259045, 12.510674512006537)  41.883554  12.506697   \n",
      "245837  (41.883554493478414, 12.506697411690835)  41.884602  12.509873   \n",
      "245838   (41.88460162754233, 12.509872553408355)  41.885631  12.509213   \n",
      "245839   (41.88563107756819, 12.509212599021565)  41.888142  12.508576   \n",
      "245840    (41.88814161125986, 12.50857638983426)  41.886770  12.509306   \n",
      "245841   (41.88677034113181, 12.509306016241888)  41.884988  12.510739   \n",
      "245842   (41.88498794952368, 12.510739278262603)  41.885806  12.510544   \n",
      "245843  (41.885806028286446, 12.510544005130408)  41.885806  12.510544   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "245815     0.033916             0.000307           196  \n",
      "245816     0.290959             0.002620           190  \n",
      "245817     0.164754             0.001608           160  \n",
      "245818     0.245099             0.002371           157  \n",
      "245819     0.286501             0.002584           211  \n",
      "245820     0.108278             0.000975           165  \n",
      "245821     0.198729             0.001941           153  \n",
      "245822     0.254272             0.002335           159  \n",
      "245823     0.264635             0.002643           267  \n",
      "245824     0.161785             0.001477           161  \n",
      "245825     0.108131             0.001154           196  \n",
      "245826     0.257805             0.002347           194  \n",
      "245827     0.339101             0.003559           248  \n",
      "245828     0.277721             0.002596           211  \n",
      "245829     0.188063             0.001716           271  \n",
      "245830     0.066614             0.000783           250  \n",
      "245831     0.008046             0.000078           239  \n",
      "245832     0.125159             0.001131           239  \n",
      "245833     0.405814             0.004582           200  \n",
      "245834     0.239296             0.002662           107  \n",
      "245835     0.093495             0.000891           157  \n",
      "245836     0.492578             0.005163           193  \n",
      "245837     0.288063             0.003343           223  \n",
      "245838     0.126785             0.001223           155  \n",
      "245839     0.283803             0.002590           131  \n",
      "245840     0.163905             0.001553           127  \n",
      "245841     0.230964             0.002287           142  \n",
      "245842     0.092299             0.000841           182  \n",
      "245843     0.000000             0.000000           178  \n",
      "       tripIndex        lat        lon  time  \\\n",
      "87934     271803  41.910121  12.419597     0   \n",
      "87935     271803  41.909199  12.422961     0   \n",
      "87936     271803  41.911347  12.423905   152   \n",
      "87937     271803  41.908291  12.421478   152   \n",
      "\n",
      "                                       lat-lon   lat_next   lon_next  \\\n",
      "87934  (41.91012120426308, 12.419597359038082)  41.909199  12.422961   \n",
      "87935  (41.909198733212975, 12.42296058233887)  41.911347  12.423905   \n",
      "87936  (41.91134746358719, 12.423904796141352)  41.908291  12.421478   \n",
      "87937  (41.90829083738037, 12.421478435197368)  41.908291  12.421478   \n",
      "\n",
      "       distance_km  distance_in_minutes  number_trees  \n",
      "87934     0.297256             0.003487           232  \n",
      "87935     0.251191             0.002347           184  \n",
      "87936     0.394701             0.003903           126  \n",
      "87937     0.000000             0.000000           235  \n",
      "       tripIndex        lat        lon  time  \\\n",
      "58974     272339  41.887730  12.533812     0   \n",
      "58975     272339  41.889185  12.536601     0   \n",
      "58976     272339  41.888638  12.535894   121   \n",
      "\n",
      "                                       lat-lon   lat_next   lon_next  \\\n",
      "58974  (41.88772998260306, 12.533811990072376)  41.889185  12.536601   \n",
      "58975  (41.88918481888921, 12.536600541666358)  41.888638  12.535894   \n",
      "58976    (41.8886379919901, 12.53589351072146)  41.888638  12.535894   \n",
      "\n",
      "       distance_km  distance_in_minutes  number_trees  \n",
      "58974     0.282266             0.003145           287  \n",
      "58975     0.084453             0.000894           145  \n",
      "58976     0.000000             0.000000           137  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "151921     272742  41.924537  12.467138     0   \n",
      "151922     272742  41.926530  12.467202     0   \n",
      "151923     272742  41.925878  12.468929   113   \n",
      "151924     272742  41.925811  12.470001   113   \n",
      "151925     272742  41.922914  12.467940   114   \n",
      "151926     272742  41.923761  12.468001   114   \n",
      "151927     272742  41.924837  12.468489   714   \n",
      "151928     272742  41.923705  12.469079   714   \n",
      "151929     272742  41.924888  12.467037   965   \n",
      "151930     272742  41.925757  12.466524   966   \n",
      "151931     272742  41.926248  12.465792   966   \n",
      "151932     272742  41.925639  12.467935   966   \n",
      "151933     272742  41.924325  12.465849   966   \n",
      "151934     272742  41.925705  12.465769   966   \n",
      "151935     272742  41.924707  12.466120   970   \n",
      "151936     272742  41.923563  12.465660   970   \n",
      "\n",
      "                                         lat-lon   lat_next   lon_next  \\\n",
      "151921   (41.92453680687608, 12.467137657904525)  41.926530  12.467202   \n",
      "151922  (41.926530299364096, 12.467201780013262)  41.925878  12.468929   \n",
      "151923   (41.92587756282696, 12.468929350334808)  41.925811  12.470001   \n",
      "151924   (41.92581115835021, 12.470000926682529)  41.922914  12.467940   \n",
      "151925    (41.9229143715248, 12.467940384974623)  41.923761  12.468001   \n",
      "151926   (41.92376088983883, 12.468001206360416)  41.924837  12.468489   \n",
      "151927   (41.92483666117079, 12.468488590737264)  41.923705  12.469079   \n",
      "151928     (41.9237045468032, 12.46907943868167)  41.924888  12.467037   \n",
      "151929   (41.92488804839378, 12.467037410847164)  41.925757  12.466524   \n",
      "151930    (41.92575703931548, 12.46652426111321)  41.926248  12.465792   \n",
      "151931    (41.9262483437353, 12.465791910256051)  41.925639  12.467935   \n",
      "151932      (41.925639369751, 12.46793514674632)  41.924325  12.465849   \n",
      "151933   (41.92432473847936, 12.465848980971828)  41.925705  12.465769   \n",
      "151934   (41.92570476774238, 12.465769444380896)  41.924707  12.466120   \n",
      "151935     (41.92470701800103, 12.4661196669045)  41.923563  12.465660   \n",
      "151936  (41.923562674359886, 12.465660377682394)  41.923563  12.465660   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "151921     0.221485             0.001995           297  \n",
      "151922     0.160593             0.001847           294  \n",
      "151923     0.089189             0.001074           243  \n",
      "151924     0.364331             0.003555           249  \n",
      "151925     0.094160             0.000849           238  \n",
      "151926     0.126142             0.001181           265  \n",
      "151927     0.134959             0.001277           281  \n",
      "151928     0.214408             0.002360           225  \n",
      "151929     0.105489             0.001009           294  \n",
      "151930     0.081658             0.000882           297  \n",
      "151931     0.190208             0.002228           287  \n",
      "151932     0.226419             0.002466           287  \n",
      "151933     0.153424             0.001382           282  \n",
      "151934     0.114566             0.001057           299  \n",
      "151935     0.132691             0.001233           299  \n",
      "151936     0.000000             0.000000           248  \n",
      "       tripIndex        lat        lon  time  \\\n",
      "49377     273615  41.951562  12.515248     0   \n",
      "49378     273615  41.952485  12.517444    13   \n",
      "49379     273615  41.950645  12.516228    13   \n",
      "49380     273615  41.950743  12.516746    13   \n",
      "49381     273615  41.951876  12.515788    13   \n",
      "49382     273615  41.950157  12.516206   113   \n",
      "49383     273615  41.951912  12.515426   113   \n",
      "49384     273615  41.951582  12.516457   113   \n",
      "49385     273615  41.949865  12.516222   230   \n",
      "49386     273615  41.950116  12.517154   230   \n",
      "49387     273615  41.951338  12.514334   230   \n",
      "49388     273615  41.950947  12.514080   230   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "49377    (41.9515619690284, 12.515248334689806)  41.952485  12.517444   \n",
      "49378   (41.95248493236953, 12.517443685683896)  41.950645  12.516228   \n",
      "49379   (41.95064463115409, 12.516228238865075)  41.950743  12.516746   \n",
      "49380   (41.950742949550005, 12.51674610413212)  41.951876  12.515788   \n",
      "49381   (41.95187635846724, 12.515788192877228)  41.950157  12.516206   \n",
      "49382   (41.95015747511702, 12.516206241915988)  41.951912  12.515426   \n",
      "49383   (41.95191177971317, 12.515426080668416)  41.951582  12.516457   \n",
      "49384   (41.95158181352338, 12.516457095437977)  41.949865  12.516222   \n",
      "49385    (41.94986465730919, 12.51622157191372)  41.950116  12.517154   \n",
      "49386  (41.950116486194375, 12.517153589687412)  41.951338  12.514334   \n",
      "49387   (41.95133830542703, 12.514333853676332)  41.950947  12.514080   \n",
      "49388   (41.95094688389829, 12.514079845688732)  41.950947  12.514080   \n",
      "\n",
      "       distance_km  distance_in_minutes  number_trees  \n",
      "49377     0.208906             0.002381           139  \n",
      "49378     0.227899             0.002205           157  \n",
      "49379     0.044306             0.000527           165  \n",
      "49380     0.148851             0.001484           167  \n",
      "49381     0.194041             0.001769           139  \n",
      "49382     0.205311             0.001920           180  \n",
      "49383     0.093010             0.001083           141  \n",
      "49384     0.191726             0.001733           152  \n",
      "49385     0.082185             0.000965           184  \n",
      "49386     0.270330             0.003073           188  \n",
      "49387     0.048309             0.000467           144  \n",
      "49388     0.000000             0.000000           148  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "115920     273631  41.895360  12.562708     0   \n",
      "115921     273631  41.893046  12.562183     0   \n",
      "115922     273631  41.895876  12.563646   120   \n",
      "115923     273631  41.894809  12.563935   120   \n",
      "115924     273631  41.893631  12.563217   242   \n",
      "115925     273631  41.893412  12.563026   242   \n",
      "115926     273631  41.893809  12.563155   363   \n",
      "115927     273631  41.892738  12.564377   487   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "115920  (41.89536013255104, 12.562708276818928)  41.893046  12.562183   \n",
      "115921   (41.8930456118602, 12.562183314782365)  41.895876  12.563646   \n",
      "115922   (41.8958763499833, 12.563646372231748)  41.894809  12.563935   \n",
      "115923    (41.8948089566025, 12.56393543825582)  41.893631  12.563217   \n",
      "115924   (41.89363131268761, 12.56321690075804)  41.893412  12.563026   \n",
      "115925   (41.8934122976559, 12.563025569646785)  41.893809  12.563155   \n",
      "115926    (41.893808957612, 12.563154710968908)  41.892738  12.564377   \n",
      "115927   (41.89273770889191, 12.56437742394851)  41.892738  12.564377   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "115920     0.260742             0.002373           259  \n",
      "115921     0.337042             0.003186           248  \n",
      "115922     0.120959             0.001106           206  \n",
      "115923     0.143753             0.001380           280  \n",
      "115924     0.029050             0.000291           310  \n",
      "115925     0.045342             0.000417           292  \n",
      "115926     0.156378             0.001626           306  \n",
      "115927     0.000000             0.000000           329  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "178752     274654  41.861573  12.471278     0   \n",
      "178753     274654  41.862347  12.473750     7   \n",
      "178754     274654  41.863406  12.471856     7   \n",
      "\n",
      "                                         lat-lon   lat_next   lon_next  \\\n",
      "178752     (41.86157268232007, 12.4712776421109)  41.862347  12.473750   \n",
      "178753  (41.862347331609584, 12.473749839487928)  41.863406  12.471856   \n",
      "178754   (41.86340623274041, 12.471856345332927)  41.863406  12.471856   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "178752     0.222569             0.002591            67  \n",
      "178753     0.196339             0.002169            81  \n",
      "178754     0.000000             0.000000            88  \n",
      "      tripIndex        lat        lon  time  \\\n",
      "8788     275179  41.921616  12.481014     0   \n",
      "8789     275179  41.921267  12.482848    16   \n",
      "8790     275179  41.924391  12.481478    33   \n",
      "8791     275179  41.922140  12.479666    41   \n",
      "8792     275179  41.922378  12.481587    42   \n",
      "8793     275179  41.920747  12.481623    42   \n",
      "8794     275179  41.922456  12.480887    44   \n",
      "\n",
      "                                       lat-lon   lat_next   lon_next  \\\n",
      "8788   (41.92161596163492, 12.481013726540024)  41.921267  12.482848   \n",
      "8789  (41.921266967178944, 12.482847653372811)  41.924391  12.481478   \n",
      "8790   (41.92439079512688, 12.481477661964798)  41.922140  12.479666   \n",
      "8791   (41.92213990232146, 12.479666351030742)  41.922378  12.481587   \n",
      "8792   (41.92237788454425, 12.481587496165714)  41.920747  12.481623   \n",
      "8793    (41.9207469976136, 12.481623250054586)  41.922456  12.480887   \n",
      "8794   (41.92245553001871, 12.480887080948117)  41.922456  12.480887   \n",
      "\n",
      "      distance_km  distance_in_minutes  number_trees  \n",
      "8788     0.156990             0.001867           126  \n",
      "8789     0.365106             0.003411           162  \n",
      "8790     0.291685             0.002889           102  \n",
      "8791     0.161539             0.001936           111  \n",
      "8792     0.181170             0.001631           116  \n",
      "8793     0.199353             0.001860           139  \n",
      "8794     0.000000             0.000000           118  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "204680     277666  41.862977  12.501696     0   \n",
      "204681     277666  41.861612  12.502610     0   \n",
      "204682     277666  41.863038  12.500672     0   \n",
      "204683     277666  41.860413  12.502444    83   \n",
      "204684     277666  41.862691  12.502025    83   \n",
      "204685     277666  41.861910  12.498812    83   \n",
      "204686     277666  41.863713  12.499740    83   \n",
      "\n",
      "                                         lat-lon   lat_next   lon_next  \\\n",
      "204680   (41.86297731371334, 12.501696305007084)  41.861612  12.502610   \n",
      "204681   (41.86161215858529, 12.502609712007018)  41.863038  12.500672   \n",
      "204682   (41.86303806933154, 12.500672232827478)  41.860413  12.502444   \n",
      "204683   (41.86041279726426, 12.502444251542968)  41.862691  12.502025   \n",
      "204684   (41.86269103713413, 12.502025254325035)  41.861910  12.498812   \n",
      "204685  (41.861910168081685, 12.498812132004216)  41.863713  12.499740   \n",
      "204686   (41.86371280336712, 12.499740274763456)  41.863713  12.499740   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "204680     0.169537             0.001643            55  \n",
      "204681     0.225746             0.002406            49  \n",
      "204682     0.326607             0.003167            51  \n",
      "204683     0.255426             0.002316            48  \n",
      "204684     0.280527             0.003307            58  \n",
      "204685     0.214538             0.002028            57  \n",
      "204686     0.000000             0.000000            40  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "242679     281229  41.880212  12.543611     0   \n",
      "242680     281229  41.880508  12.543600     0   \n",
      "242681     281229  41.879778  12.540410   133   \n",
      "\n",
      "                                         lat-lon   lat_next  lon_next  \\\n",
      "242679  (41.880211619359706, 12.543611430580848)  41.880508  12.54360   \n",
      "242680   (41.88050791989522, 12.543600020957545)  41.879778  12.54041   \n",
      "242681   (41.87977783738683, 12.540410100341004)  41.879778  12.54041   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "242679     0.032924             0.000297           187  \n",
      "242680     0.276922             0.003272           194  \n",
      "242681     0.000000             0.000000           167  \n",
      "       tripIndex        lat        lon  time  \\\n",
      "99441     283016  41.861098  12.556863     0   \n",
      "99442     283016  41.860553  12.555163     0   \n",
      "99443     283016  41.861296  12.554033     0   \n",
      "99444     283016  41.861070  12.554024   179   \n",
      "99445     283016  41.860416  12.556556   179   \n",
      "99446     283016  41.861019  12.555410   179   \n",
      "99447     283016  41.860509  12.556985   264   \n",
      "99448     283016  41.860899  12.556980   264   \n",
      "99449     283016  41.861173  12.552989   355   \n",
      "99450     283016  41.861880  12.556024   355   \n",
      "99451     283016  41.861346  12.555989   355   \n",
      "99452     283016  41.860520  12.555479   445   \n",
      "99453     283016  41.861743  12.555173   445   \n",
      "99454     283016  41.859881  12.555089   445   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "99441   (41.86109802805335, 12.556863246134924)  41.860553  12.555163   \n",
      "99442   (41.86055279954231, 12.555162656471646)  41.861296  12.554033   \n",
      "99443    (41.86129590378351, 12.55403264894109)  41.861070  12.554024   \n",
      "99444    (41.86107021933419, 12.55402387679854)  41.860416  12.556556   \n",
      "99445   (41.860415909696506, 12.55655626874154)  41.861019  12.555410   \n",
      "99446   (41.86101868195023, 12.555410402348778)  41.860509  12.556985   \n",
      "99447    (41.86050899374391, 12.55698488571344)  41.860899  12.556980   \n",
      "99448   (41.86089860461525, 12.556979588385724)  41.861173  12.552989   \n",
      "99449   (41.86117343434419, 12.552989213574625)  41.861880  12.556024   \n",
      "99450   (41.86187956313046, 12.556024129281802)  41.861346  12.555989   \n",
      "99451   (41.86134621606286, 12.555988803288344)  41.860520  12.555479   \n",
      "99452    (41.86052025179424, 12.55547938617751)  41.861743  12.555173   \n",
      "99453  (41.861742754012376, 12.555173131632849)  41.859881  12.555089   \n",
      "99454   (41.85988052053885, 12.555088537798405)  41.859881  12.555089   \n",
      "\n",
      "       distance_km  distance_in_minutes  number_trees  \n",
      "99441     0.153640             0.001786           138  \n",
      "99442     0.124962             0.001352           129  \n",
      "99443     0.025077             0.000226            96  \n",
      "99444     0.222472             0.002616           105  \n",
      "99445     0.116338             0.001295           162  \n",
      "99446     0.142462             0.001655           117  \n",
      "99447     0.043277             0.000390           161  \n",
      "99448     0.332727             0.004000           145  \n",
      "99449     0.263913             0.003116           100  \n",
      "99450     0.059312             0.000535           116  \n",
      "99451     0.101022             0.000970           129  \n",
      "99452     0.138145             0.001260           138  \n",
      "99453     0.206959             0.001864           103  \n",
      "99454     0.000000             0.000000           173  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "149605     289257  41.935566  12.420102     0   \n",
      "149606     289257  41.936332  12.420092     0   \n",
      "149607     289257  41.933958  12.421124   140   \n",
      "149608     289257  41.936696  12.419825   140   \n",
      "\n",
      "                                         lat-lon   lat_next   lon_next  \\\n",
      "149605   (41.93556577576866, 12.420102011842776)  41.936332  12.420092   \n",
      "149606  (41.936332183216216, 12.420092345681836)  41.933958  12.421124   \n",
      "149607    (41.93395812827958, 12.42112421056172)  41.936696  12.419825   \n",
      "149608  (41.936696058259336, 12.419825186554029)  41.936696  12.419825   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "149605     0.085130             0.000766           155  \n",
      "149606     0.277230             0.002589           159  \n",
      "149607     0.322627             0.003030           158  \n",
      "149608     0.000000             0.000000           158  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "164115     292623  41.858510  12.553785     0   \n",
      "164116     292623  41.858568  12.555199     0   \n",
      "164117     292623  41.859013  12.552544     0   \n",
      "164118     292623  41.858023  12.551435   131   \n",
      "164119     292623  41.857688  12.551930   131   \n",
      "164120     292623  41.857903  12.552549   131   \n",
      "164121     292623  41.859105  12.555267   383   \n",
      "164122     292623  41.858102  12.553174   383   \n",
      "164123     292623  41.860175  12.552564   383   \n",
      "164124     292623  41.858343  12.553980   596   \n",
      "164125     292623  41.859043  12.555895   596   \n",
      "164126     292623  41.858142  12.557548   596   \n",
      "164127     292623  41.860312  12.553641   834   \n",
      "164128     292623  41.859905  12.556264   834   \n",
      "164129     292623  41.859880  12.554742   834   \n",
      "164130     292623  41.859551  12.554485   898   \n",
      "164131     292623  41.857136  12.555207   898   \n",
      "164132     292623  41.860248  12.554988   898   \n",
      "\n",
      "                                         lat-lon   lat_next   lon_next  \\\n",
      "164115   (41.85850997361093, 12.553785348623055)  41.858568  12.555199   \n",
      "164116   (41.85856848885091, 12.555198627835647)  41.859013  12.552544   \n",
      "164117   (41.85901270213301, 12.552544159167676)  41.858023  12.551435   \n",
      "164118   (41.85802268017411, 12.551434737496807)  41.857688  12.551930   \n",
      "164119    (41.85768784200438, 12.55193020696182)  41.857903  12.552549   \n",
      "164120    (41.85790329594526, 12.55254897980556)  41.859105  12.555267   \n",
      "164121   (41.85910536341109, 12.555267098284617)  41.858102  12.553174   \n",
      "164122   (41.85810209644228, 12.553174356237085)  41.860175  12.552564   \n",
      "164123      (41.8601752951749, 12.5525639581712)  41.858343  12.553980   \n",
      "164124   (41.85834335649008, 12.553980057201011)  41.859043  12.555895   \n",
      "164125  (41.859042580182646, 12.555894969179889)  41.858142  12.557548   \n",
      "164126   (41.85814235593941, 12.557548283660344)  41.860312  12.553641   \n",
      "164127    (41.8603118102179, 12.553640652998622)  41.859905  12.556264   \n",
      "164128   (41.85990535446815, 12.556264295958105)  41.859880  12.554742   \n",
      "164129     (41.8598800354049, 12.55474180891296)  41.859551  12.554485   \n",
      "164130    (41.85955128208206, 12.55448464346036)  41.857136  12.555207   \n",
      "164131   (41.85713598150879, 12.555206868325277)  41.860248  12.554988   \n",
      "164132   (41.86024787080775, 12.554988413989848)  41.860248  12.554988   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "164115     0.117530             0.001414           239  \n",
      "164116     0.225865             0.002691           256  \n",
      "164117     0.143449             0.001487           207  \n",
      "164118     0.055459             0.000598           222  \n",
      "164119     0.056679             0.000655           229  \n",
      "164120     0.262231             0.002972           244  \n",
      "164121     0.206429             0.002321           216  \n",
      "164122     0.235783             0.002161           242  \n",
      "164123     0.235006             0.002315           146  \n",
      "164124     0.176956             0.002039           248  \n",
      "164125     0.169835             0.001883           220  \n",
      "164126     0.404152             0.004469           195  \n",
      "164127     0.222475             0.002655           134  \n",
      "164128     0.126447             0.001523           168  \n",
      "164129     0.042300             0.000417           169  \n",
      "164130     0.274890             0.002521           189  \n",
      "164131     0.346115             0.003120           272  \n",
      "164132     0.000000             0.000000           145  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "212599     292910  41.860222  12.471894     0   \n",
      "212600     292910  41.859554  12.473705     3   \n",
      "212601     292910  41.860900  12.472995    23   \n",
      "212602     292910  41.863137  12.473512    25   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "212599  (41.86022172672315, 12.471894021391938)  41.859554  12.473705   \n",
      "212600  (41.85955413308817, 12.473705032808024)  41.860900  12.472995   \n",
      "212601  (41.860899946893504, 12.47299523372741)  41.863137  12.473512   \n",
      "212602  (41.86313675071519, 12.473511986685155)  41.863137  12.473512   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "212599     0.167661             0.001930            59  \n",
      "212600     0.160679             0.001522           110  \n",
      "212601     0.252121             0.002296            86  \n",
      "212602     0.000000             0.000000            93  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "242730     294632  41.878050  12.536382     0   \n",
      "242731     294632  41.880648  12.537218     0   \n",
      "242732     294632  41.877799  12.536352     0   \n",
      "242733     294632  41.877546  12.535721    95   \n",
      "242734     294632  41.878654  12.534272   105   \n",
      "242735     294632  41.878579  12.534649   152   \n",
      "242736     294632  41.878556  12.535061   152   \n",
      "242737     294632  41.878184  12.535490   155   \n",
      "242738     294632  41.879371  12.535731   155   \n",
      "242739     294632  41.876169  12.533353   235   \n",
      "242740     294632  41.877308  12.535422   240   \n",
      "242741     294632  41.878228  12.533116   289   \n",
      "242742     294632  41.876332  12.534729   289   \n",
      "242743     294632  41.878193  12.532468   336   \n",
      "242744     294632  41.875932  12.531971   336   \n",
      "242745     294632  41.875899  12.532431   375   \n",
      "242746     294632  41.878408  12.532304   375   \n",
      "242747     294632  41.877812  12.532992   474   \n",
      "242748     294632  41.876900  12.533372   474   \n",
      "242749     294632  41.877312  12.531505   474   \n",
      "242750     294632  41.878694  12.531905   474   \n",
      "242751     294632  41.877591  12.531967   474   \n",
      "242752     294632  41.876530  12.531528   474   \n",
      "242753     294632  41.877195  12.532680   474   \n",
      "242754     294632  41.877912  12.532936   474   \n",
      "242755     294632  41.877158  12.533248   512   \n",
      "242756     294632  41.878189  12.532231   512   \n",
      "242757     294632  41.875050  12.533018   586   \n",
      "242758     294632  41.876017  12.529345   586   \n",
      "242759     294632  41.878103  12.528102   798   \n",
      "242760     294632  41.878042  12.530097   798   \n",
      "242761     294632  41.879838  12.528842   802   \n",
      "242762     294632  41.877000  12.531098   802   \n",
      "242763     294632  41.876223  12.528258   802   \n",
      "242764     294632  41.875123  12.529637   802   \n",
      "242765     294632  41.877001  12.531698   803   \n",
      "242766     294632  41.876823  12.528107   803   \n",
      "242767     294632  41.876669  12.529903  1035   \n",
      "242768     294632  41.879305  12.529244  1035   \n",
      "242769     294632  41.875206  12.524603  1273   \n",
      "242770     294632  41.875158  12.523850  1273   \n",
      "242771     294632  41.873569  12.523341  1285   \n",
      "242772     294632  41.874579  12.524580  1285   \n",
      "242773     294632  41.874163  12.524037  1295   \n",
      "242774     294632  41.876545  12.523293  1295   \n",
      "242775     294632  41.876714  12.523434  1295   \n",
      "\n",
      "                                         lat-lon   lat_next   lon_next  \\\n",
      "242730   (41.87804976247563, 12.536381566796935)  41.880648  12.537218   \n",
      "242731   (41.88064798759773, 12.537218024033326)  41.877799  12.536352   \n",
      "242732   (41.87779897458991, 12.536351863701938)  41.877546  12.535721   \n",
      "242733    (41.87754561449906, 12.53572069920788)  41.878654  12.534272   \n",
      "242734   (41.87865401304005, 12.534272496334044)  41.878579  12.534649   \n",
      "242735    (41.8785792224714, 12.534649140806293)  41.878556  12.535061   \n",
      "242736    (41.87855609234872, 12.53506060047081)  41.878184  12.535490   \n",
      "242737   (41.87818353752043, 12.535490399291994)  41.879371  12.535731   \n",
      "242738    (41.87937055279554, 12.53573068941212)  41.876169  12.533353   \n",
      "242739   (41.87616857039343, 12.533352834371383)  41.877308  12.535422   \n",
      "242740  (41.877308261712464, 12.535421604976776)  41.878228  12.533116   \n",
      "242741  (41.878228021588086, 12.533115664807667)  41.876332  12.534729   \n",
      "242742   (41.87633179530649, 12.534729464634996)  41.878193  12.532468   \n",
      "242743     (41.87819342942156, 12.5324677184182)  41.875932  12.531971   \n",
      "242744   (41.87593191609646, 12.531970826026908)  41.875899  12.532431   \n",
      "242745   (41.87589856380672, 12.532430629928554)  41.878408  12.532304   \n",
      "242746   (41.87840773404195, 12.532303578846127)  41.877812  12.532992   \n",
      "242747   (41.87781190727596, 12.532991958651785)  41.876900  12.533372   \n",
      "242748   (41.87689985013418, 12.533371545745943)  41.877312  12.531505   \n",
      "242749    (41.87731174305125, 12.53150548098396)  41.878694  12.531905   \n",
      "242750   (41.87869380678808, 12.531904655495984)  41.877591  12.531967   \n",
      "242751   (41.87759070950834, 12.531967403406286)  41.876530  12.531528   \n",
      "242752   (41.87652978200248, 12.531528244094018)  41.877195  12.532680   \n",
      "242753   (41.87719490002916, 12.532679956554755)  41.877912  12.532936   \n",
      "242754  (41.877912183877456, 12.532936035896832)  41.877158  12.533248   \n",
      "242755   (41.87715824036008, 12.533248419538811)  41.878189  12.532231   \n",
      "242756   (41.87818924161958, 12.532230761416413)  41.875050  12.533018   \n",
      "242757   (41.87505047917568, 12.533018254230733)  41.876017  12.529345   \n",
      "242758   (41.87601675504677, 12.529345197713637)  41.878103  12.528102   \n",
      "242759   (41.87810261017573, 12.528101583874404)  41.878042  12.530097   \n",
      "242760  (41.878042144582096, 12.530096909253118)  41.879838  12.528842   \n",
      "242761     (41.8798379163776, 12.52884242073938)  41.877000  12.531098   \n",
      "242762   (41.87699989933649, 12.531097523995085)  41.876223  12.528258   \n",
      "242763   (41.87622303617477, 12.528258163605036)  41.875123  12.529637   \n",
      "242764   (41.87512319909786, 12.529636688646017)  41.877001  12.531698   \n",
      "242765   (41.87700072584354, 12.531698169517613)  41.876823  12.528107   \n",
      "242766   (41.87682279290394, 12.528106534383497)  41.876669  12.529903   \n",
      "242767   (41.87666880951421, 12.529903297951185)  41.879305  12.529244   \n",
      "242768   (41.87930457503421, 12.529243591173564)  41.875206  12.524603   \n",
      "242769   (41.87520582638121, 12.524602923102517)  41.875158  12.523850   \n",
      "242770   (41.875158352731965, 12.52384952205962)  41.873569  12.523341   \n",
      "242771   (41.87356945671878, 12.523340649953733)  41.874579  12.524580   \n",
      "242772   (41.87457873306137, 12.524579776514576)  41.874163  12.524037   \n",
      "242773   (41.87416288342152, 12.524036796593183)  41.876545  12.523293   \n",
      "242774   (41.87654506523331, 12.523293017945573)  41.876714  12.523434   \n",
      "242775     (41.876713861066, 12.523433860022276)  41.876714  12.523434   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "242730     0.296822             0.002730           264  \n",
      "242731     0.324508             0.002978           297  \n",
      "242732     0.059472             0.000680           258  \n",
      "242733     0.172068             0.001824           228  \n",
      "242734     0.032349             0.000384           139  \n",
      "242735     0.034251             0.000412           174  \n",
      "242736     0.054636             0.000569           210  \n",
      "242737     0.133343             0.001211           227  \n",
      "242738     0.406750             0.003988           260  \n",
      "242739     0.213343             0.002362           152  \n",
      "242740     0.216969             0.002483           190  \n",
      "242741     0.249609             0.002490           130  \n",
      "242742     0.279292             0.002929           124  \n",
      "242743     0.254552             0.002315           144  \n",
      "242744     0.038348             0.000461           151  \n",
      "242745     0.278895             0.002512           153  \n",
      "242746     0.087435             0.000910           146  \n",
      "242747     0.106090             0.000988           141  \n",
      "242748     0.161517             0.001911           146  \n",
      "242749     0.157043             0.001439           161  \n",
      "242750     0.122633             0.001105           140  \n",
      "242751     0.123348             0.001148           153  \n",
      "242752     0.120821             0.001330           157  \n",
      "242753     0.082456             0.000762           143  \n",
      "242754     0.087664             0.000816           137  \n",
      "242755     0.142301             0.001449           145  \n",
      "242756     0.354701             0.003236           149  \n",
      "242757     0.323245             0.003798           138  \n",
      "242758     0.253637             0.002428           132  \n",
      "242759     0.165766             0.001996           118  \n",
      "242760     0.225004             0.002191           127  \n",
      "242761     0.366613             0.003625           147  \n",
      "242762     0.250995             0.002944           167  \n",
      "242763     0.167386             0.001764           133  \n",
      "242764     0.269764             0.002788           141  \n",
      "242765     0.298797             0.003596           151  \n",
      "242766     0.150128             0.001803           118  \n",
      "242767     0.297835             0.002717           156  \n",
      "242768     0.596363             0.006192           141  \n",
      "242769     0.062764             0.000755           123  \n",
      "242770     0.181465             0.001668           120  \n",
      "242771     0.152144             0.001598           129  \n",
      "242772     0.064538             0.000684           120  \n",
      "242773     0.271699             0.002496           114  \n",
      "242774     0.022095             0.000220           107  \n",
      "242775     0.000000             0.000000           103  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "248020     295464  41.921529  12.412826     0   \n",
      "248021     295464  41.921440  12.411429     0   \n",
      "248022     295464  41.922946  12.412293     0   \n",
      "248023     295464  41.919836  12.411592   134   \n",
      "248024     295464  41.921501  12.408888   148   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "248020   (41.9215286083821, 12.412825779535812)  41.921440  12.411429   \n",
      "248021  (41.92144017756773, 12.411428601501411)  41.922946  12.412293   \n",
      "248022  (41.92294595665146, 12.412292579205989)  41.919836  12.411592   \n",
      "248023  (41.91983602442629, 12.411591879340689)  41.921501  12.408888   \n",
      "248024   (41.92150082807518, 12.40888810546877)  41.921501  12.408888   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "248020     0.116315             0.001400           147  \n",
      "248021     0.181958             0.001736           117  \n",
      "248022     0.350282             0.003188           129  \n",
      "248023     0.290685             0.003175           120  \n",
      "248024     0.000000             0.000000           105  \n",
      "       tripIndex        lat        lon  time  \\\n",
      "42699     297681  41.905652  12.553026     0   \n",
      "42700     297681  41.906607  12.551413     0   \n",
      "42701     297681  41.905783  12.552516     0   \n",
      "42702     297681  41.904406  12.550712     0   \n",
      "42703     297681  41.905731  12.550245     0   \n",
      "42704     297681  41.905677  12.549563     0   \n",
      "42705     297681  41.906031  12.548974   300   \n",
      "42706     297681  41.906611  12.550754   300   \n",
      "42707     297681  41.906805  12.553141   300   \n",
      "42708     297681  41.907895  12.550477   300   \n",
      "42709     297681  41.906909  12.552454   300   \n",
      "42710     297681  41.908008  12.552028   300   \n",
      "42711     297681  41.905494  12.550852   328   \n",
      "42712     297681  41.906699  12.552389   328   \n",
      "42713     297681  41.904979  12.550683   328   \n",
      "42714     297681  41.906596  12.550926   328   \n",
      "42715     297681  41.906701  12.550020   328   \n",
      "42716     297681  41.905658  12.551950   328   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "42699   (41.90565228181631, 12.553026333206644)  41.906607  12.551413   \n",
      "42700    (41.90660653761712, 12.55141257424107)  41.905783  12.552516   \n",
      "42701  (41.905782739637566, 12.552516073364322)  41.904406  12.550712   \n",
      "42702   (41.90440585663981, 12.550711639159829)  41.905731  12.550245   \n",
      "42703    (41.90573114535376, 12.55024486518754)  41.905677  12.549563   \n",
      "42704   (41.90567699372257, 12.549562977442118)  41.906031  12.548974   \n",
      "42705   (41.90603126223351, 12.548973683508724)  41.906611  12.550754   \n",
      "42706    (41.90661064522755, 12.55075360637742)  41.906805  12.553141   \n",
      "42707   (41.90680542904088, 12.553140978272296)  41.907895  12.550477   \n",
      "42708   (41.90789462816942, 12.550476941175225)  41.906909  12.552454   \n",
      "42709   (41.90690873089087, 12.552454130740967)  41.908008  12.552028   \n",
      "42710    (41.90800810989447, 12.55202848712317)  41.905494  12.550852   \n",
      "42711   (41.90549431543536, 12.550852481850942)  41.906699  12.552389   \n",
      "42712   (41.90669942912401, 12.552388600277084)  41.904979  12.550683   \n",
      "42713    (41.90497900781941, 12.55068289561702)  41.906596  12.550926   \n",
      "42714   (41.90659611630203, 12.550925929900544)  41.906701  12.550020   \n",
      "42715   (41.90670052009884, 12.550019585093628)  41.905658  12.551950   \n",
      "42716   (41.90565829758811, 12.551950250256128)  41.905658  12.551950   \n",
      "\n",
      "       distance_km  distance_in_minutes  number_trees  \n",
      "42699     0.170770             0.001875           130  \n",
      "42700     0.129443             0.001377            93  \n",
      "42701     0.214020             0.002270           120  \n",
      "42702     0.152212             0.001405           126  \n",
      "42703     0.056897             0.000684            88  \n",
      "42704     0.062762             0.000688           101  \n",
      "42705     0.161096             0.001872           111  \n",
      "42706     0.199262             0.002395            79  \n",
      "42707     0.251979             0.002878           130  \n",
      "42708     0.197239             0.002209            84  \n",
      "42709     0.127114             0.001179           114  \n",
      "42710     0.295769             0.002775           106  \n",
      "42711     0.184829             0.001952           103  \n",
      "42712     0.237792             0.002423           115  \n",
      "42713     0.180743             0.001635           119  \n",
      "42714     0.076090             0.000912            82  \n",
      "42715     0.197641             0.002194            83  \n",
      "42716     0.000000             0.000000           112  \n",
      "       tripIndex        lat        lon  time  \\\n",
      "60362     297782  41.879271  12.516134     0   \n",
      "60363     297782  41.881679  12.515671     0   \n",
      "60364     297782  41.878936  12.515429     1   \n",
      "60365     297782  41.881102  12.514463    23   \n",
      "60366     297782  41.879764  12.516006    23   \n",
      "60367     297782  41.881058  12.514677    35   \n",
      "60368     297782  41.881291  12.514288    35   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "60362   (41.87927119679666, 12.516133858178083)  41.881679  12.515671   \n",
      "60363    (41.8816792509327, 12.515671290959643)  41.878936  12.515429   \n",
      "60364   (41.87893596630678, 12.515429236389986)  41.881102  12.514463   \n",
      "60365  (41.881101525269614, 12.514463485474009)  41.879764  12.516006   \n",
      "60366     (41.879764332848, 12.516005505589424)  41.881058  12.514677   \n",
      "60367    (41.88105802286882, 12.51467707674174)  41.881291  12.514288   \n",
      "60368   (41.88129078294303, 12.514288009533228)  41.881291  12.514288   \n",
      "\n",
      "       distance_km  distance_in_minutes  number_trees  \n",
      "60362     0.270207             0.002452           157  \n",
      "60363     0.305361             0.002754           135  \n",
      "60364     0.253537             0.002371           152  \n",
      "60365     0.196067             0.002041           107  \n",
      "60366     0.181124             0.001854           159  \n",
      "60367     0.041368             0.000453           109  \n",
      "60368     0.000000             0.000000           102  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "197669     298671  41.858416  12.550152     0   \n",
      "197670     298671  41.859293  12.552748     0   \n",
      "197671     298671  41.860027  12.549376     0   \n",
      "197672     298671  41.859146  12.549684     0   \n",
      "197673     298671  41.861760  12.550658   299   \n",
      "197674     298671  41.862427  12.556068   299   \n",
      "197675     298671  41.862326  12.552071   299   \n",
      "197676     298671  41.861506  12.552273   299   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "197669  (41.85841583800118, 12.550151688750612)  41.859293  12.552748   \n",
      "197670   (41.85929327381597, 12.55274754193216)  41.860027  12.549376   \n",
      "197671   (41.86002673171743, 12.54937605273346)  41.859146  12.549684   \n",
      "197672  (41.85914626413658, 12.549684038684944)  41.861760  12.550658   \n",
      "197673  (41.86176011186702, 12.550658159610268)  41.862427  12.556068   \n",
      "197674  (41.86242691524224, 12.556068391994328)  41.862326  12.552071   \n",
      "197675   (41.86232637731448, 12.55207110772536)  41.861506  12.552273   \n",
      "197676  (41.86150622795302, 12.552273391396769)  41.861506  12.552273   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "197669     0.236552             0.002740           192  \n",
      "197670     0.291556             0.003450           193  \n",
      "197671     0.101082             0.000933           197  \n",
      "197672     0.301378             0.002789           196  \n",
      "197673     0.455273             0.005451           154  \n",
      "197674     0.332078             0.003999           102  \n",
      "197675     0.092630             0.000845            95  \n",
      "197676     0.000000             0.000000           105  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "227461     300496  41.874556  12.582919     0   \n",
      "227462     300496  41.875261  12.583077    35   \n",
      "227463     300496  41.877510  12.579699   204   \n",
      "227464     300496  41.875543  12.581133   241   \n",
      "227465     300496  41.877873  12.581449   241   \n",
      "227466     300496  41.876177  12.580004   241   \n",
      "227467     300496  41.876623  12.580478   365   \n",
      "227468     300496  41.877028  12.580592   365   \n",
      "\n",
      "                                         lat-lon   lat_next   lon_next  \\\n",
      "227461  (41.874555695747645, 12.582919431983845)  41.875261  12.583077   \n",
      "227462  (41.875261097572384, 12.583076820229367)  41.877510  12.579699   \n",
      "227463   (41.87751022121497, 12.579698855151497)  41.875543  12.581133   \n",
      "227464   (41.87554336671756, 12.581132729081071)  41.877873  12.581449   \n",
      "227465     (41.8778727986451, 12.58144851539731)  41.876177  12.580004   \n",
      "227466    (41.8761765345084, 12.580004114410846)  41.876623  12.580478   \n",
      "227467    (41.87662279652632, 12.58047765764777)  41.877028  12.580592   \n",
      "227468    (41.87702832616052, 12.58059242567996)  41.877028  12.580592   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "227461     0.079431             0.000723           318  \n",
      "227462     0.375546             0.004058           362  \n",
      "227463     0.248782             0.002434           280  \n",
      "227464     0.260057             0.002351           366  \n",
      "227465     0.223322             0.002228           414  \n",
      "227466     0.063262             0.000651           312  \n",
      "227467     0.046039             0.000421           338  \n",
      "227468     0.000000             0.000000           350  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "187043     304993  41.943322  12.509761     0   \n",
      "187044     304993  41.943442  12.510218     0   \n",
      "187045     304993  41.942076  12.511132     0   \n",
      "187046     304993  41.943502  12.509194   127   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "187043  (41.94332152267733, 12.509760853488672)  41.943442  12.510218   \n",
      "187044  (41.94344171371334, 12.510217705007085)  41.942076  12.511132   \n",
      "187045  (41.94207615858529, 12.511131612007018)  41.943502  12.509194   \n",
      "187046  (41.94350246933155, 12.509193632827476)  41.943502  12.509194   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "187043     0.040167             0.000472           137  \n",
      "187044     0.169555             0.001643           137  \n",
      "187045     0.225665             0.002406           179  \n",
      "187046     0.000000             0.000000           129  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "217258     306162  41.927413  12.415857     0   \n",
      "217259     306162  41.926185  12.414865     0   \n",
      "217260     306162  41.926688  12.416469     0   \n",
      "217261     306162  41.925307  12.417222     0   \n",
      "217262     306162  41.925685  12.414711   123   \n",
      "217263     306162  41.924271  12.413405   123   \n",
      "217264     306162  41.925904  12.415078   144   \n",
      "217265     306162  41.926663  12.415610   144   \n",
      "217266     306162  41.924931  12.413855   245   \n",
      "217267     306162  41.923881  12.415571   245   \n",
      "217268     306162  41.923006  12.414736   268   \n",
      "217269     306162  41.924990  12.415249   268   \n",
      "\n",
      "                                         lat-lon   lat_next   lon_next  \\\n",
      "217258   (41.92741330398597, 12.415857449442305)  41.926185  12.414865   \n",
      "217259   (41.92618511410612, 12.414865254465331)  41.926688  12.416469   \n",
      "217260   (41.92668830418254, 12.416468945756003)  41.925307  12.417222   \n",
      "217261   (41.92530720950462, 12.417221839809876)  41.925685  12.414711   \n",
      "217262   (41.92568463284893, 12.414711420945428)  41.924271  12.413405   \n",
      "217263   (41.92427124751027, 12.413404675466207)  41.925904  12.415078   \n",
      "217264   (41.92590440698113, 12.415077953071489)  41.926663  12.415610   \n",
      "217265  (41.926662734103786, 12.415610125102251)  41.924931  12.413855   \n",
      "217266   (41.92493101138462, 12.413855285197997)  41.923881  12.415571   \n",
      "217267   (41.92388070249957, 12.415571445443762)  41.923006  12.414736   \n",
      "217268   (41.92300595816664, 12.414736003232724)  41.924990  12.415249   \n",
      "217269     (41.92498964123707, 12.4152487178127)  41.924990  12.415249   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "217258     0.159319             0.001579           177  \n",
      "217259     0.144285             0.001681           149  \n",
      "217260     0.165625             0.001573           177  \n",
      "217261     0.212410             0.002539           149  \n",
      "217262     0.190772             0.001925           150  \n",
      "217263     0.228406             0.002338           134  \n",
      "217264     0.095095             0.000926           153  \n",
      "217265     0.241214             0.002465           176  \n",
      "217266     0.184049             0.002012           130  \n",
      "217267     0.119342             0.001210           197  \n",
      "217268     0.224398             0.002049           207  \n",
      "217269     0.000000             0.000000           165  \n",
      "       tripIndex        lat        lon  time  \\\n",
      "95782     306164  41.909106  12.415730     0   \n",
      "95783     306164  41.908720  12.414697     0   \n",
      "95784     306164  41.906443  12.414687   120   \n",
      "95785     306164  41.909194  12.413907   120   \n",
      "95786     306164  41.907037  12.413177   241   \n",
      "95787     306164  41.907187  12.415917   241   \n",
      "\n",
      "                                       lat-lon   lat_next   lon_next  \\\n",
      "95782  (41.90910625980232, 12.415729735140596)  41.908720  12.414697   \n",
      "95783    (41.908720479915, 12.414697390756135)  41.906443  12.414687   \n",
      "95784   (41.90644347040327, 12.41468660161632)  41.909194  12.413907   \n",
      "95785  (41.90919380437574, 12.413907448208388)  41.907037  12.413177   \n",
      "95786  (41.90703682183689, 12.413177471184657)  41.907187  12.415917   \n",
      "95787   (41.90718656638341, 12.41591662158281)  41.907187  12.415917   \n",
      "\n",
      "       distance_km  distance_in_minutes  number_trees  \n",
      "95782     0.095773             0.001102           272  \n",
      "95783     0.252912             0.002277           262  \n",
      "95784     0.312249             0.002859           258  \n",
      "95785     0.247116             0.002277           267  \n",
      "95786     0.227878             0.002743           252  \n",
      "95787     0.000000             0.000000           217  \n",
      "      tripIndex        lat        lon  time  \\\n",
      "4159     306220  41.877724  12.437589     0   \n",
      "4160     306220  41.880057  12.436112     0   \n",
      "4161     306220  41.878314  12.435522     0   \n",
      "4162     306220  41.880657  12.435518     0   \n",
      "4163     306220  41.879166  12.437739   250   \n",
      "4164     306220  41.878711  12.436233   250   \n",
      "4165     306220  41.881138  12.435535   250   \n",
      "4166     306220  41.878422  12.436191   250   \n",
      "4167     306220  41.880072  12.435549   280   \n",
      "4168     306220  41.877736  12.437505   280   \n",
      "4169     306220  41.879939  12.435351   280   \n",
      "4170     306220  41.877074  12.436311   280   \n",
      "\n",
      "                                       lat-lon   lat_next   lon_next  \\\n",
      "4159    (41.87772441476687, 12.43758895949288)  41.880057  12.436112   \n",
      "4160    (41.88005729321146, 12.43611151214058)  41.878314  12.435522   \n",
      "4161   (41.87831440247895, 12.435522411955448)  41.880657  12.435518   \n",
      "4162  (41.880656691453815, 12.435517624909773)  41.879166  12.437739   \n",
      "4163    (41.87916632295559, 12.43773883496998)  41.878711  12.436233   \n",
      "4164    (41.8787108995201, 12.436232525686185)  41.881138  12.435535   \n",
      "4165   (41.88113766868668, 12.435534565475471)  41.878422  12.436191   \n",
      "4166  (41.878422394136535, 12.436190588623507)  41.880072  12.435549   \n",
      "4167   (41.88007196904446, 12.435549457083804)  41.877736  12.437505   \n",
      "4168   (41.87773558607821, 12.437505479681729)  41.879939  12.435351   \n",
      "4169   (41.87993866554351, 12.435351113918657)  41.877074  12.436311   \n",
      "4170    (41.8770742665686, 12.436310581517253)  41.877074  12.436311   \n",
      "\n",
      "      distance_km  distance_in_minutes  number_trees  \n",
      "4159     0.286672             0.002761           136  \n",
      "4160     0.199665             0.001840           197  \n",
      "4161     0.260161             0.002342           175  \n",
      "4162     0.247783             0.002675           185  \n",
      "4163     0.134880             0.001574           146  \n",
      "4164     0.275699             0.002525           182  \n",
      "4165     0.306465             0.002793           165  \n",
      "4166     0.190792             0.001770           177  \n",
      "4167     0.306112             0.003047           214  \n",
      "4168     0.303079             0.003081           136  \n",
      "4169     0.327969             0.003021           219  \n",
      "4170     0.000000             0.000000           130  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "229527     311892  41.935555  12.420786     0   \n",
      "229528     311892  41.934433  12.420937     0   \n",
      "229529     311892  41.937303  12.417853   124   \n",
      "229530     311892  41.936112  12.420072   124   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "229527  (41.93555452032669, 12.420786493525622)  41.934433  12.420937   \n",
      "229528  (41.93443329456542, 12.420936819151374)  41.937303  12.417853   \n",
      "229529  (41.93730322402904, 12.417852866751891)  41.936112  12.420072   \n",
      "229530  (41.93611217266204, 12.420072285228674)  41.936112  12.420072   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "229527     0.125159             0.001131           172  \n",
      "229528     0.408692             0.004213           161  \n",
      "229529     0.226672             0.002519            86  \n",
      "229530     0.000000             0.000000           155  \n",
      "       tripIndex        lat        lon  time  \\\n",
      "86783     314368  41.957679  12.522495     0   \n",
      "86784     314368  41.957386  12.522401    28   \n",
      "86785     314368  41.958679  12.522553    28   \n",
      "86786     314368  41.957059  12.519253    63   \n",
      "\n",
      "                                       lat-lon   lat_next   lon_next  \\\n",
      "86783  (41.95767860752848, 12.522495245822943)  41.957386  12.522401   \n",
      "86784  (41.95738587303417, 12.522401037951784)  41.958679  12.522553   \n",
      "86785   (41.95867881284359, 12.52255279294794)  41.957059  12.519253   \n",
      "86786   (41.95705868472034, 12.51925256396404)  41.957059  12.519253   \n",
      "\n",
      "       distance_km  distance_in_minutes  number_trees  \n",
      "86783      0.03344             0.000308           164  \n",
      "86784      0.14416             0.001302           165  \n",
      "86785      0.32748             0.003676           165  \n",
      "86786      0.00000             0.000000           187  \n",
      "       tripIndex        lat        lon  time  \\\n",
      "24963     315048  41.919465  12.518908     0   \n",
      "24964     315048  41.918795  12.519368    35   \n",
      "24965     315048  41.917774  12.519372    35   \n",
      "24966     315048  41.918868  12.517776    50   \n",
      "24967     315048  41.918545  12.517450    67   \n",
      "24968     315048  41.917337  12.519116   214   \n",
      "24969     315048  41.918827  12.518828   214   \n",
      "\n",
      "                                       lat-lon   lat_next   lon_next  \\\n",
      "24963  (41.91946450463088, 12.518907998083812)  41.918795  12.519368   \n",
      "24964  (41.91879535703106, 12.519368378801955)  41.917774  12.519372   \n",
      "24965  (41.91777358055264, 12.519372378028276)  41.918868  12.517776   \n",
      "24966   (41.91886788313776, 12.51777623327924)  41.918545  12.517450   \n",
      "24967  (41.91854526528588, 12.517450013415296)  41.917337  12.519116   \n",
      "24968  (41.91733727013331, 12.519115699519524)  41.918827  12.518828   \n",
      "24969    (41.91882673292555, 12.5188282137435)  41.918827  12.518828   \n",
      "\n",
      "       distance_km  distance_in_minutes  number_trees  \n",
      "24963     0.083562             0.000812           147  \n",
      "24964     0.113491             0.001022           130  \n",
      "24965     0.179739             0.001935           131  \n",
      "24966     0.044904             0.000459           181  \n",
      "24967     0.192605             0.002058           189  \n",
      "24968     0.167147             0.001517           144  \n",
      "24969     0.000000             0.000000           148  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "202398     318462  41.810617  12.615478     0   \n",
      "202399     318462  41.812609  12.617463   125   \n",
      "202400     318462  41.812721  12.616197   125   \n",
      "202401     318462  41.813333  12.617736   245   \n",
      "202402     318462  41.812313  12.617606   245   \n",
      "202403     318462  41.811279  12.615789   245   \n",
      "202404     318462  41.812420  12.616135   363   \n",
      "\n",
      "                                         lat-lon   lat_next   lon_next  \\\n",
      "202398   (41.81061699399656, 12.615477896972656)  41.812609  12.617463   \n",
      "202399   (41.81260877173195, 12.617463294289491)  41.812721  12.616197   \n",
      "202400   (41.81272114682268, 12.616196680679176)  41.813333  12.617736   \n",
      "202401   (41.81333283444353, 12.617735879546114)  41.812313  12.617606   \n",
      "202402   (41.81231326135952, 12.617605504343809)  41.811279  12.615789   \n",
      "202403  (41.811278741694025, 12.615789011342269)  41.812420  12.616135   \n",
      "202404   (41.81241966210675, 12.616134645492332)  41.812420  12.616135   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "202398     0.275967             0.002812           301  \n",
      "202399     0.105985             0.001272           313  \n",
      "202400     0.144822             0.001656           287  \n",
      "202401     0.113761             0.001028           299  \n",
      "202402     0.189699             0.002090           311  \n",
      "202403     0.129935             0.001192           328  \n",
      "202404     0.000000             0.000000           293  \n",
      "       tripIndex        lat        lon  time  \\\n",
      "72320     319193  41.769371  12.370745     0   \n",
      "72321     319193  41.770649  12.372989   121   \n",
      "72322     319193  41.770201  12.371778   121   \n",
      "72323     319193  41.770461  12.371948   245   \n",
      "72324     319193  41.770201  12.370542   245   \n",
      "72325     319193  41.768972  12.372146   366   \n",
      "72326     319193  41.767513  12.371908   366   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "72320    (41.7693711343592, 12.370745287626592)  41.770649  12.372989   \n",
      "72321  (41.770649153997205, 12.372988734938463)  41.770201  12.371778   \n",
      "72322    (41.7702007608824, 12.371778235895055)  41.770461  12.371948   \n",
      "72323    (41.77046107122312, 12.37194792653264)  41.770201  12.370542   \n",
      "72324   (41.77020059831939, 12.370542348487644)  41.768972  12.372146   \n",
      "72325   (41.76897247704203, 12.372146385269213)  41.767513  12.371908   \n",
      "72326  (41.767513024428354, 12.371908447838086)  41.767513  12.371908   \n",
      "\n",
      "       distance_km  distance_in_minutes  number_trees  \n",
      "72320     0.234406             0.002582           364  \n",
      "72321     0.112298             0.001291           177  \n",
      "72322     0.032171             0.000311           272  \n",
      "72323     0.120399             0.001430           250  \n",
      "72324     0.190775             0.002020           317  \n",
      "72325     0.163303             0.001479           327  \n",
      "72326     0.000000             0.000000           347  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "142389     320109  41.882756  12.590083     0   \n",
      "142390     320109  41.882822  12.587045     0   \n",
      "142391     320109  41.882175  12.587956   301   \n",
      "142392     320109  41.881776  12.588902   301   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "142389  (41.88275579861636, 12.590082692103266)  41.882822  12.587045   \n",
      "142390   (41.88282220383453, 12.58704538796858)  41.882175  12.587956   \n",
      "142391  (41.88217509624422, 12.587955770461935)  41.881776  12.588902   \n",
      "142392  (41.88177551521556, 12.588902064402715)  41.881776  12.588902   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "142389     0.252212             0.003038           450  \n",
      "142390     0.104288             0.001117           496  \n",
      "142391     0.090218             0.001027           482  \n",
      "142392     0.000000             0.000000           496  \n",
      "       tripIndex        lat        lon  time  \\\n",
      "34673     321105  41.919841  12.467409     0   \n",
      "34674     321105  41.917813  12.464997   150   \n",
      "34675     321105  41.918977  12.464630   151   \n",
      "\n",
      "                                       lat-lon   lat_next   lon_next  \\\n",
      "34673    (41.91984125255157, 12.4674092180091)  41.917813  12.464997   \n",
      "34674  (41.91781311655958, 12.464997486372926)  41.918977  12.464630   \n",
      "34675    (41.9189769752978, 12.46462989563796)  41.918977  12.464630   \n",
      "\n",
      "       distance_km  distance_in_minutes  number_trees  \n",
      "34673     0.301285             0.003151           208  \n",
      "34674     0.132820             0.001221           210  \n",
      "34675     0.000000             0.000000           203  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "129817     321959  41.879268  12.575576     0   \n",
      "129818     321959  41.881583  12.577388     0   \n",
      "129819     321959  41.880553  12.577177     0   \n",
      "129820     321959  41.881985  12.577110     0   \n",
      "129821     321959  41.879506  12.577875   137   \n",
      "129822     321959  41.881342  12.579188   304   \n",
      "129823     321959  41.882441  12.575662   304   \n",
      "129824     321959  41.881830  12.577962   304   \n",
      "129825     321959  41.880548  12.577828   304   \n",
      "129826     321959  41.882036  12.578182   426   \n",
      "129827     321959  41.881699  12.575040   426   \n",
      "129828     321959  41.882395  12.579018   426   \n",
      "129829     321959  41.880839  12.579329   426   \n",
      "\n",
      "                                         lat-lon   lat_next   lon_next  \\\n",
      "129817   (41.879268422654526, 12.57557626605602)  41.881583  12.577388   \n",
      "129818   (41.881583091304456, 12.57738799199036)  41.880553  12.577177   \n",
      "129819   (41.88055315247725, 12.577177193863116)  41.881985  12.577110   \n",
      "129820   (41.88198520492514, 12.577109835369791)  41.879506  12.577875   \n",
      "129821  (41.879505787504925, 12.577874737920745)  41.881342  12.579188   \n",
      "129822    (41.88134230961181, 12.57918824769653)  41.882441  12.575662   \n",
      "129823     (41.88244085505609, 12.5756624377439)  41.881830  12.577962   \n",
      "129824   (41.88182978469512, 12.577961998399507)  41.880548  12.577828   \n",
      "129825     (41.88054794347994, 12.5778275269687)  41.882036  12.578182   \n",
      "129826   (41.88203554074567, 12.578182193129708)  41.881699  12.575040   \n",
      "129827   (41.88169921114406, 12.575040223747887)  41.882395  12.579018   \n",
      "129828   (41.88239466623567, 12.579017921357146)  41.880839  12.579329   \n",
      "129829    (41.88083851022003, 12.57932943200952)  41.880839  12.579329   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "129817     0.297845             0.002939           154  \n",
      "129818     0.115727             0.001051           210  \n",
      "129819     0.159158             0.001434           200  \n",
      "129820     0.282615             0.002595           214  \n",
      "129821     0.231294             0.002258           192  \n",
      "129822     0.317073             0.003693           236  \n",
      "129823     0.202580             0.002379           192  \n",
      "129824     0.142812             0.001289           206  \n",
      "129825     0.167831             0.001529           202  \n",
      "129826     0.263457             0.003160           214  \n",
      "129827     0.339079             0.004038           136  \n",
      "129828     0.174767             0.001587           234  \n",
      "129829     0.000000             0.000000           262  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "213798     322998  41.886088  12.540265     0   \n",
      "213799     322998  41.889182  12.538067     2   \n",
      "213800     322998  41.885654  12.540299     4   \n",
      "213801     322998  41.887655  12.539630     4   \n",
      "213802     322998  41.887012  12.540410   174   \n",
      "213803     322998  41.886959  12.539437   242   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "213798   (41.88608846795828, 12.54026533909278)  41.889182  12.538067   \n",
      "213799  (41.88918178226132, 12.538066992558266)  41.885654  12.540299   \n",
      "213800   (41.88565373293887, 12.54029861531485)  41.887655  12.539630   \n",
      "213801  (41.88765549073723, 12.539629564152698)  41.887012  12.540410   \n",
      "213802  (41.88701211612057, 12.540410213422566)  41.886959  12.539437   \n",
      "213803  (41.88695928902055, 12.539437367032257)  41.886959  12.539437   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "213798     0.389019             0.003795           206  \n",
      "213799     0.433432             0.004175           146  \n",
      "213800     0.229167             0.002111           206  \n",
      "213801     0.096460             0.001012           186  \n",
      "213802     0.080956             0.000974           195  \n",
      "213803     0.000000             0.000000           201  \n",
      "       tripIndex        lat        lon  time  \\\n",
      "82884     324270  41.895934  12.495774     0   \n",
      "82885     324270  41.894933  12.494135     4   \n",
      "82886     324270  41.896094  12.493247    44   \n",
      "82887     324270  41.895317  12.493482    44   \n",
      "82888     324270  41.896821  12.492812    45   \n",
      "82889     324270  41.896042  12.494748    45   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "82884    (41.8959344578558, 12.495773819372893)  41.894933  12.494135   \n",
      "82885    (41.89493344533564, 12.49413511172538)  41.896094  12.493247   \n",
      "82886   (41.896093919769925, 12.49324724235654)  41.895317  12.493482   \n",
      "82887  (41.895317444852246, 12.493482142412706)  41.896821  12.492812   \n",
      "82888   (41.89682074691446, 12.492812099107098)  41.896042  12.494748   \n",
      "82889   (41.89604222396797, 12.494747753060397)  41.896042  12.494748   \n",
      "\n",
      "       distance_km  distance_in_minutes  number_trees  \n",
      "82884     0.175656             0.001920            41  \n",
      "82885     0.148468             0.001461            49  \n",
      "82886     0.088420             0.000811            44  \n",
      "82887     0.175989             0.001646            32  \n",
      "82888     0.182426             0.002086            51  \n",
      "82889     0.000000             0.000000            41  \n",
      "       tripIndex        lat        lon  time  \\\n",
      "20776     325078  41.908018  12.550175     0   \n",
      "20777     325078  41.909867  12.551129    16   \n",
      "20778     325078  41.910306  12.550771    16   \n",
      "20779     325078  41.910252  12.548819    16   \n",
      "20780     325078  41.910291  12.547551    16   \n",
      "\n",
      "                                       lat-lon   lat_next   lon_next  \\\n",
      "20776  (41.90801822858393, 12.550175487151826)  41.909867  12.551129   \n",
      "20777  (41.90986734084182, 12.551129155314976)  41.910306  12.550771   \n",
      "20778    (41.9103062986691, 12.55077122860467)  41.910252  12.548819   \n",
      "20779   (41.91025203049261, 12.54881909222608)  41.910291  12.547551   \n",
      "20780   (41.91029054581971, 12.54755140294097)  41.910291  12.547551   \n",
      "\n",
      "       distance_km  distance_in_minutes  number_trees  \n",
      "20776     0.220098             0.002081            87  \n",
      "20777     0.057088             0.000566           174  \n",
      "20778     0.162075             0.001953           167  \n",
      "20779     0.105263             0.001268            93  \n",
      "20780     0.000000             0.000000            64  \n",
      "       tripIndex        lat        lon  time  \\\n",
      "16336     325226  41.871499  12.444501     0   \n",
      "16337     325226  41.873045  12.446485     0   \n",
      "16338     325226  41.872976  12.443339   105   \n",
      "16339     325226  41.873550  12.443848   105   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "16336   (41.87149878217175, 12.444500843657307)  41.873045  12.446485   \n",
      "16337    (41.8730450451286, 12.446485098603588)  41.872976  12.443339   \n",
      "16338   (41.87297555022709, 12.443339013805414)  41.873550  12.443848   \n",
      "16339  (41.873549645837294, 12.443848461625755)  41.873550  12.443848   \n",
      "\n",
      "       distance_km  distance_in_minutes  number_trees  \n",
      "16336     0.237972             0.002516           143  \n",
      "16337     0.261287             0.003147           159  \n",
      "16338     0.076515             0.000768           146  \n",
      "16339     0.000000             0.000000           134  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "127292     328926  41.901035  12.419592     0   \n",
      "127293     328926  41.902789  12.421652     0   \n",
      "127294     328926  41.902344  12.421877    18   \n",
      "127295     328926  41.904047  12.420343    18   \n",
      "127296     328926  41.904094  12.421883   139   \n",
      "127297     328926  41.901977  12.420681   139   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "127292   (41.90103475391365, 12.41959175475382)  41.902789  12.421652   \n",
      "127293  (41.90278909293503, 12.421651621680008)  41.902344  12.421877   \n",
      "127294  (41.90234412343484, 12.421876847401686)  41.904047  12.420343   \n",
      "127295  (41.90404671933573, 12.420342908730886)  41.904094  12.421883   \n",
      "127296   (41.904093557317566, 12.4218829666317)  41.901977  12.420681   \n",
      "127297  (41.90197664606031, 12.420681021776115)  41.901977  12.420681   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "127292     0.259199             0.002706           170  \n",
      "127293     0.052839             0.000499           166  \n",
      "127294     0.227953             0.002292           154  \n",
      "127295     0.127892             0.001541           204  \n",
      "127296     0.255406             0.002434           188  \n",
      "127297     0.000000             0.000000           176  \n",
      "       tripIndex        lat        lon  time  \\\n",
      "12080     331449  41.951997  12.479856     0   \n",
      "12081     331449  41.950701  12.481210     8   \n",
      "12082     331449  41.951054  12.480266     8   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "12080   (41.95199694023579, 12.479856118430265)  41.950701  12.481210   \n",
      "12081   (41.95070145462425, 12.481210399663468)  41.951054  12.480266   \n",
      "12082  (41.951054345155136, 12.480265711875026)  41.951054  12.480266   \n",
      "\n",
      "       distance_km  distance_in_minutes  number_trees  \n",
      "12080     0.182521             0.001874            66  \n",
      "12081     0.087588             0.001008            76  \n",
      "12082     0.000000             0.000000            74  \n",
      "       tripIndex        lat        lon  time  \\\n",
      "53776     336394  41.781150  12.365655     0   \n",
      "53777     336394  41.781842  12.367431     0   \n",
      "53778     336394  41.782110  12.366221     0   \n",
      "53779     336394  41.781069  12.366121     0   \n",
      "53780     336394  41.783246  12.366411     0   \n",
      "53781     336394  41.782795  12.367444   123   \n",
      "53782     336394  41.782344  12.366988   124   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "53776     (41.7811497923365, 12.36565455615778)  41.781842  12.367431   \n",
      "53777   (41.78184244237076, 12.367430717413916)  41.782110  12.366221   \n",
      "53778  (41.782110452474974, 12.366221245593806)  41.781069  12.366121   \n",
      "53779   (41.78106918609274, 12.366121405536475)  41.783246  12.366411   \n",
      "53780     (41.78324598825116, 12.3664112839093)  41.782795  12.367444   \n",
      "53781   (41.78279523476876, 12.367443823278476)  41.782344  12.366988   \n",
      "53782   (41.78234397555767, 12.366988095828937)  41.782344  12.366988   \n",
      "\n",
      "       distance_km  distance_in_minutes  number_trees  \n",
      "53776     0.166498             0.001906           291  \n",
      "53777     0.104861             0.001239           261  \n",
      "53778     0.115950             0.001046           263  \n",
      "53779     0.242973             0.002196           285  \n",
      "53780     0.099370             0.001127           256  \n",
      "53781     0.062829             0.000641           278  \n",
      "53782     0.000000             0.000000           269  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "204925     339928  41.906524  12.564372     0   \n",
      "204926     339928  41.906484  12.562063     1   \n",
      "204927     339928  41.906660  12.561309     6   \n",
      "204928     339928  41.905927  12.562862     7   \n",
      "204929     339928  41.905494  12.563484     7   \n",
      "204930     339928  41.906579  12.562160   198   \n",
      "204931     339928  41.905816  12.563905   201   \n",
      "204932     339928  41.907194  12.562510   201   \n",
      "204933     339928  41.905932  12.564127   201   \n",
      "204934     339928  41.905395  12.565144   283   \n",
      "\n",
      "                                         lat-lon   lat_next   lon_next  \\\n",
      "204925   (41.90652416387136, 12.564371503363548)  41.906484  12.562063   \n",
      "204926   (41.90648413825459, 12.562062847246615)  41.906660  12.561309   \n",
      "204927   (41.90665970871166, 12.561308869782556)  41.905927  12.562862   \n",
      "204928   (41.90592662664869, 12.562862483051328)  41.905494  12.563484   \n",
      "204929   (41.90549390665748, 12.563484356223288)  41.906579  12.562160   \n",
      "204930   (41.90657892013846, 12.562159809473014)  41.905816  12.563905   \n",
      "204931   (41.90581616979384, 12.563905335852183)  41.907194  12.562510   \n",
      "204932   (41.90719395113575, 12.562509701508036)  41.905932  12.564127   \n",
      "204933   (41.90593242071423, 12.564126789119248)  41.905395  12.565144   \n",
      "204934  (41.905395175572814, 12.565143854753751)  41.905395  12.565144   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "204925     0.191605             0.002309           161  \n",
      "204926     0.065528             0.000774           144  \n",
      "204927     0.152469             0.001718           145  \n",
      "204928     0.070516             0.000758           146  \n",
      "204929     0.163101             0.001712           144  \n",
      "204930     0.167789             0.001905           144  \n",
      "204931     0.191907             0.001961           143  \n",
      "204932     0.194000             0.002051           157  \n",
      "204933     0.103355             0.001150           139  \n",
      "204934     0.000000             0.000000           100  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "114871     340951  41.979740  12.550061     0   \n",
      "114872     340951  41.977816  12.551570     0   \n",
      "114873     340951  41.978472  12.550021     1   \n",
      "114874     340951  41.978875  12.550649     1   \n",
      "114875     340951  41.980159  12.550327     2   \n",
      "114876     340951  41.978623  12.549837     2   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "114871  (41.97974020185628, 12.550060549336674)  41.977816  12.551570   \n",
      "114872  (41.97781554424732, 12.551569938292696)  41.978472  12.550021   \n",
      "114873  (41.97847217101009, 12.550020787399571)  41.978875  12.550649   \n",
      "114874  (41.97887527401173, 12.550649273439236)  41.980159  12.550327   \n",
      "114875  (41.98015880969523, 12.550326738765076)  41.978623  12.549837   \n",
      "114876  (41.97862308639949, 12.549836727138844)  41.978623  12.549837   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "114871     0.247689             0.002446           154  \n",
      "114872     0.147661             0.001683           106  \n",
      "114873     0.068687             0.000747           150  \n",
      "114874     0.145050             0.001323           150  \n",
      "114875     0.175345             0.001612           172  \n",
      "114876     0.000000             0.000000           150  \n",
      "       tripIndex        lat        lon  time  \\\n",
      "59129     342346  41.888338  12.520400     0   \n",
      "59130     342346  41.887997  12.520989     1   \n",
      "59131     342346  41.887419  12.520738    12   \n",
      "59132     342346  41.885766  12.520715    12   \n",
      "59133     342346  41.888053  12.519502   100   \n",
      "59134     342346  41.887244  12.520146   184   \n",
      "\n",
      "                                       lat-lon   lat_next   lon_next  \\\n",
      "59129    (41.8883381353895, 12.52039985107287)  41.887997  12.520989   \n",
      "59130  (41.88799728680959, 12.520988954260304)  41.887419  12.520738   \n",
      "59131   (41.88741925548918, 12.52073753809331)  41.885766  12.520715   \n",
      "59132  (41.88576612719625, 12.520714956034022)  41.888053  12.519502   \n",
      "59133   (41.88805300348263, 12.51950235216262)  41.887244  12.520146   \n",
      "59134   (41.88724380463087, 12.52014629808381)  41.887244  12.520146   \n",
      "\n",
      "       distance_km  distance_in_minutes  number_trees  \n",
      "59129     0.061837             0.000681           117  \n",
      "59130     0.067508             0.000630           147  \n",
      "59131     0.183624             0.001653           177  \n",
      "59132     0.273218             0.002588           245  \n",
      "59133     0.104568             0.001034           114  \n",
      "59134     0.000000             0.000000           167  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "226433     345495  41.879832  12.540442     0   \n",
      "226434     345495  41.881475  12.536995    58   \n",
      "226435     345495  41.880042  12.537856   120   \n",
      "226436     345495  41.881035  12.537772   126   \n",
      "226437     345495  41.881031  12.539361   240   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "226433    (41.879831930791, 12.540442130729224)  41.881475  12.536995   \n",
      "226434  (41.88147473116028, 12.536994615316544)  41.880042  12.537856   \n",
      "226435  (41.88004195665088, 12.537855517359244)  41.881035  12.537772   \n",
      "226436  (41.88103498717693, 12.537771773564035)  41.881031  12.539361   \n",
      "226437    (41.88103113161595, 12.5393612250349)  41.881031  12.539361   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "226433     0.339387             0.003819           164  \n",
      "226434     0.174447             0.001672           262  \n",
      "226435     0.110516             0.000997           314  \n",
      "226436     0.131933             0.001589           273  \n",
      "226437     0.000000             0.000000           188  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "155805     352485  41.910565  12.569278     0   \n",
      "155806     352485  41.910403  12.568440     0   \n",
      "155807     352485  41.910893  12.569774     0   \n",
      "155808     352485  41.909827  12.567807   300   \n",
      "155809     352485  41.910912  12.571102   300   \n",
      "155810     352485  41.910366  12.569401   300   \n",
      "\n",
      "                                         lat-lon   lat_next   lon_next  \\\n",
      "155805   (41.91056533257412, 12.569278133882335)  41.910403  12.568440   \n",
      "155806   (41.91040338560524, 12.568439722751547)  41.910893  12.569774   \n",
      "155807   (41.910892699976586, 12.56977426950929)  41.909827  12.567807   \n",
      "155808  (41.909826670858486, 12.567807249311915)  41.910912  12.571102   \n",
      "155809   (41.91091162805335, 12.571101846134924)  41.910366  12.569401   \n",
      "155810   (41.91036639954231, 12.569401256471648)  41.910366  12.569401   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "155805     0.071848             0.000854           218  \n",
      "155806     0.123342             0.001421           209  \n",
      "155807     0.201627             0.002237           220  \n",
      "155808     0.298728             0.003469           174  \n",
      "155809     0.153540             0.001786           186  \n",
      "155810     0.000000             0.000000           209  \n",
      "      tripIndex        lat        lon  time  \\\n",
      "6014     358064  41.851974  12.586632     0   \n",
      "6015     358064  41.849313  12.586849    27   \n",
      "6016     358064  41.849823  12.586258    43   \n",
      "\n",
      "                                      lat-lon   lat_next   lon_next  \\\n",
      "6014   (41.8519738651832, 12.586632126495015)  41.849313  12.586849   \n",
      "6015  (41.84931331028295, 12.586849014400748)  41.849823  12.586258   \n",
      "6016  (41.84982338413084, 12.586258460212468)  41.849823  12.586258   \n",
      "\n",
      "      distance_km  distance_in_minutes  number_trees  \n",
      "6014     0.296057             0.002669            92  \n",
      "6015     0.074933             0.000780            54  \n",
      "6016     0.000000             0.000000            50  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "229635     358551  41.891721  12.572884     0   \n",
      "229636     358551  41.891349  12.575478     0   \n",
      "229637     358551  41.891582  12.575843   142   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "229635  (41.89172072347844, 12.572883593846514)  41.891349  12.575478   \n",
      "229636    (41.89134854974639, 12.5754778592848)  41.891582  12.575843   \n",
      "229637  (41.89158235299659, 12.575842668846247)  41.891582  12.575843   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "229635     0.219234             0.002621           236  \n",
      "229636     0.039888             0.000433           222  \n",
      "229637     0.000000             0.000000           240  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "131196     359690  41.941179  12.548904     0   \n",
      "131197     359690  41.940793  12.546985     0   \n",
      "131198     359690  41.942241  12.550181     0   \n",
      "131199     359690  41.941901  12.546643    42   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "131196  (41.94117898638052, 12.548904255040046)  41.940793  12.546985   \n",
      "131197   (41.94079323958152, 12.54698483639688)  41.942241  12.550181   \n",
      "131198   (41.94224140787869, 12.55018123745506)  41.941901  12.546643   \n",
      "131199  (41.94190083332461, 12.546643470406329)  41.941901  12.546643   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "131196     0.164838             0.001958           119  \n",
      "131197     0.310054             0.003509           115  \n",
      "131198     0.295801             0.003554           113  \n",
      "131199     0.000000             0.000000           104  \n",
      "      tripIndex        lat        lon  time  \\\n",
      "2889     363540  41.879027  12.462586     0   \n",
      "2890     363540  41.880013  12.461389    69   \n",
      "2891     363540  41.879730  12.462967   121   \n",
      "2892     363540  41.880528  12.461995   190   \n",
      "\n",
      "                                       lat-lon   lat_next   lon_next  \\\n",
      "2889   (41.87902702244662, 12.462585667703715)  41.880013  12.461389   \n",
      "2890   (41.880013231651056, 12.46138871914438)  41.879730  12.462967   \n",
      "2891  (41.879730082832026, 12.462966875287734)  41.880528  12.461995   \n",
      "2892   (41.88052789362843, 12.461995311121836)  41.880528  12.461995   \n",
      "\n",
      "      distance_km  distance_in_minutes  number_trees  \n",
      "2889     0.147886             0.001551           275  \n",
      "2890     0.134719             0.001603           248  \n",
      "2891     0.119817             0.001257           279  \n",
      "2892     0.000000             0.000000           264  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "184891     364799  41.896495  12.442361     0   \n",
      "184892     364799  41.897798  12.442319     6   \n",
      "184893     364799  41.895411  12.442963     6   \n",
      "184894     364799  41.897135  12.443929   133   \n",
      "184895     364799  41.898233  12.440403   133   \n",
      "184896     364799  41.897622  12.442703   133   \n",
      "184897     364799  41.896271  12.442538   251   \n",
      "184898     364799  41.897629  12.443027   251   \n",
      "184899     364799  41.897293  12.439885   251   \n",
      "184900     364799  41.897988  12.443862   251   \n",
      "184901     364799  41.896461  12.444121   371   \n",
      "184902     364799  41.896513  12.440717   371   \n",
      "\n",
      "                                         lat-lon   lat_next   lon_next  \\\n",
      "184891   (41.89649525247725, 12.442361393863116)  41.897798  12.442319   \n",
      "184892  (41.897798004925136, 12.442319335369794)  41.895411  12.442963   \n",
      "184893   (41.89541068750493, 12.442962737920745)  41.897135  12.443929   \n",
      "184894   (41.897134809611806, 12.44392894769653)  41.898233  12.440403   \n",
      "184895    (41.898233355056085, 12.4404031377439)  41.897622  12.442703   \n",
      "184896   (41.89762228469512, 12.442702698399508)  41.896271  12.442538   \n",
      "184897     (41.89627074347994, 12.4425375269687)  41.897629  12.443027   \n",
      "184898   (41.89762884074567, 12.443026693129708)  41.897293  12.439885   \n",
      "184899    (41.89729251114406, 12.43988472374789)  41.897988  12.443862   \n",
      "184900   (41.89798796623567, 12.443862421357146)  41.896461  12.444121   \n",
      "184901    (41.89646081022003, 12.44412073200952)  41.896513  12.440717   \n",
      "184902   (41.89651296096411, 12.440717005142725)  41.896513  12.440717   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "184891     0.144740             0.001303           154  \n",
      "184892     0.270484             0.002472           160  \n",
      "184893     0.207609             0.001976           181  \n",
      "184894     0.317007             0.003693           152  \n",
      "184895     0.202536             0.002379           180  \n",
      "184896     0.150742             0.001362           155  \n",
      "184897     0.156212             0.001444           158  \n",
      "184898     0.263395             0.003160           161  \n",
      "184899     0.339001             0.004038           150  \n",
      "184900     0.170972             0.001549           170  \n",
      "184901     0.282517             0.003404           162  \n",
      "184902     0.000000             0.000000           141  \n",
      "       tripIndex        lat        lon  time  \\\n",
      "81707     365817  41.812892  12.473747     0   \n",
      "81708     365817  41.810353  12.473036     0   \n",
      "81709     365817  41.815502  12.475301    87   \n",
      "81710     365817  41.816284  12.474560    87   \n",
      "81711     365817  41.813922  12.473112   113   \n",
      "\n",
      "                                       lat-lon   lat_next   lon_next  \\\n",
      "81707   (41.81289175565425, 12.47374697790242)  41.810353  12.473036   \n",
      "81708  (41.81035262305529, 12.473035642216866)  41.815502  12.475301   \n",
      "81709  (41.81550239049877, 12.475301352197365)  41.816284  12.474560   \n",
      "81710  (41.81628397851338, 12.474559842830256)  41.813922  12.473112   \n",
      "81711  (41.81392210616891, 12.473111719069372)  41.813922  12.473112   \n",
      "\n",
      "       distance_km  distance_in_minutes  number_trees  \n",
      "81707     0.288148             0.002637           103  \n",
      "81708     0.602169             0.005626            77  \n",
      "81709     0.106452             0.001077            93  \n",
      "81710     0.288611             0.002770            95  \n",
      "81711     0.000000             0.000000            96  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "207269     369904  41.881396  12.505530     0   \n",
      "207270     369904  41.881947  12.505905    20   \n",
      "207271     369904  41.878734  12.505270    24   \n",
      "207272     369904  41.879006  12.505673   185   \n",
      "\n",
      "                                         lat-lon   lat_next   lon_next  \\\n",
      "207269  (41.881395950227095, 12.505530313805414)  41.881947  12.505905   \n",
      "207270    (41.8819467458373, 12.505905361625755)  41.878734  12.505270   \n",
      "207271   (41.87873377940319, 12.505269654675446)  41.879006  12.505673   \n",
      "207272    (41.87900611481931, 12.50567331186853)  41.879006  12.505673   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "207269     0.068642             0.000666           220  \n",
      "207270     0.360747             0.003275           224  \n",
      "207271     0.045141             0.000487           200  \n",
      "207272     0.000000             0.000000           198  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "122467     370921  41.842136  12.435182     0   \n",
      "122468     370921  41.840674  12.437930   229   \n",
      "122469     370921  41.841288  12.437956   230   \n",
      "122470     370921  41.841377  12.438753   230   \n",
      "122471     370921  41.840294  12.436824   230   \n",
      "122472     370921  41.840971  12.435928   230   \n",
      "\n",
      "                                         lat-lon   lat_next   lon_next  \\\n",
      "122467  (41.842136039986514, 12.435181920480623)  41.840674  12.437930   \n",
      "122468   (41.84067357615365, 12.437930344969544)  41.841288  12.437956   \n",
      "122469  (41.841287587662784, 12.437956181932051)  41.841377  12.438753   \n",
      "122470   (41.84137651481171, 12.438752800944576)  41.840294  12.436824   \n",
      "122471  (41.840293615649294, 12.436824306154776)  41.840971  12.435928   \n",
      "122472   (41.84097093561845, 12.435928255614112)  41.840971  12.435928   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "122467     0.280168             0.003113           259  \n",
      "122468     0.068232             0.000615           188  \n",
      "122469     0.066897             0.000802           189  \n",
      "122470     0.200307             0.002212           172  \n",
      "122471     0.105823             0.001123           211  \n",
      "122472     0.000000             0.000000           234  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "140036     373220  41.908864  12.450210     0   \n",
      "140037     373220  41.910453  12.449944    51   \n",
      "140038     373220  41.909045  12.451469    98   \n",
      "\n",
      "                                         lat-lon   lat_next   lon_next  \\\n",
      "140036   (41.90886414366579, 12.450209854918654)  41.910453  12.449944   \n",
      "140037    (41.91045323293212, 12.44994429213312)  41.909045  12.451469   \n",
      "140038  (41.909044529614114, 12.451468527237386)  41.909045  12.451469   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "140036     0.177872             0.001611           149  \n",
      "140037     0.201183             0.002076           144  \n",
      "140038     0.000000             0.000000           126  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "237525     374379  41.914248  12.554143     0   \n",
      "237526     374379  41.915204  12.556346    93   \n",
      "237527     374379  41.915201  12.555732    93   \n",
      "237528     374379  41.916292  12.558001   120   \n",
      "237529     374379  41.914723  12.555037   214   \n",
      "237530     374379  41.917107  12.559386   256   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "237525   (41.91424750075953, 12.55414257675389)  41.915204  12.556346   \n",
      "237526   (41.91520447086269, 12.55634610635504)  41.915201  12.555732   \n",
      "237527   (41.9152005111811, 12.555731802996808)  41.916292  12.558001   \n",
      "237528   (41.91629225391976, 12.55800084529445)  41.914723  12.555037   \n",
      "237529  (41.91472256997476, 12.555036692444084)  41.917107  12.559386   \n",
      "237530  (41.91710687921427, 12.559385892749397)  41.917107  12.559386   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "237525     0.211463             0.002402           177  \n",
      "237526     0.050965             0.000614           167  \n",
      "237527     0.223916             0.002518           161  \n",
      "237528     0.301442             0.003354           203  \n",
      "237529     0.447568             0.004960           163  \n",
      "237530     0.000000             0.000000           244  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "231977     374387  41.859995  12.560813     0   \n",
      "231978     374387  41.860295  12.559096     0   \n",
      "231979     374387  41.861302  12.560168     0   \n",
      "231980     374387  41.860834  12.559742    70   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "231977  (41.85999532410059, 12.560813184193467)  41.860295  12.559096   \n",
      "231978   (41.86029481413243, 12.55909595123425)  41.861302  12.560168   \n",
      "231979  (41.86130205484756, 12.560168340552249)  41.860834  12.559742   \n",
      "231980   (41.86083432195317, 12.55974215216212)  41.860834  12.559742   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "231977     0.146414             0.001743           148  \n",
      "231978     0.142984             0.001471           147  \n",
      "231979     0.062858             0.000633           145  \n",
      "231980     0.000000             0.000000           144  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "166847     378534  41.912295  12.506351     0   \n",
      "166848     378534  41.910835  12.506113    61   \n",
      "166849     378534  41.913489  12.506428    61   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "166847  (41.91229487704203, 12.506350885269212)  41.910835  12.506113   \n",
      "166848  (41.91083502442836, 12.506112947838089)  41.913489  12.506428   \n",
      "166849  (41.913488635550905, 12.50642780043267)  41.913489  12.506428   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "166847     0.163345             0.001479           107  \n",
      "166848     0.295896             0.002672           123  \n",
      "166849     0.000000             0.000000            95  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "246037     381370  41.886069  12.575069     0   \n",
      "246038     381370  41.884556  12.575120     0   \n",
      "246039     381370  41.884351  12.575168     0   \n",
      "246040     381370  41.884252  12.575555     0   \n",
      "246041     381370  41.887096  12.573468   130   \n",
      "246042     381370  41.888037  12.575156   130   \n",
      "246043     381370  41.886572  12.574415   130   \n",
      "246044     381370  41.886570  12.577207   130   \n",
      "246045     381370  41.886680  12.575035   259   \n",
      "246046     381370  41.888931  12.576432   259   \n",
      "246047     381370  41.888497  12.573284   645   \n",
      "246048     381370  41.886525  12.571849   645   \n",
      "246049     381370  41.887720  12.572006   645   \n",
      "246050     381370  41.887873  12.572751   645   \n",
      "246051     381370  41.887915  12.572892   775   \n",
      "246052     381370  41.887185  12.572532   775   \n",
      "246053     381370  41.887736  12.571569   775   \n",
      "246054     381370  41.887329  12.570526   775   \n",
      "246055     381370  41.887139  12.570856   926   \n",
      "246056     381370  41.886591  12.572319   926   \n",
      "246057     381370  41.886180  12.572045   926   \n",
      "246058     381370  41.887022  12.570521   926   \n",
      "246059     381370  41.885899  12.573520  1170   \n",
      "246060     381370  41.887254  12.573723  1170   \n",
      "246061     381370  41.888378  12.573158  1170   \n",
      "246062     381370  41.887622  12.573088  1170   \n",
      "246063     381370  41.888587  12.573126  1296   \n",
      "246064     381370  41.886010  12.573923  1296   \n",
      "246065     381370  41.889221  12.572526  1296   \n",
      "246066     381370  41.887308  12.574213  1296   \n",
      "246067     381370  41.890018  12.574543  1431   \n",
      "246068     381370  41.890993  12.573796  1431   \n",
      "246069     381370  41.889786  12.573683  1431   \n",
      "\n",
      "                                         lat-lon   lat_next   lon_next  \\\n",
      "246037   (41.88606863720529, 12.575069374301837)  41.884556  12.575120   \n",
      "246038   (41.88455571722286, 12.575119535334462)  41.884351  12.575168   \n",
      "246039   (41.88435087482645, 12.575167645505411)  41.884252  12.575555   \n",
      "246040  (41.884251557508726, 12.575554952707552)  41.887096  12.573468   \n",
      "246041      (41.8870963586817, 12.5734683500732)  41.888037  12.575156   \n",
      "246042    (41.88803690575654, 12.57515635287419)  41.886572  12.574415   \n",
      "246043    (41.88657208873223, 12.57441485111967)  41.886570  12.577207   \n",
      "246044   (41.88657016018925, 12.577207447514802)  41.886680  12.575035   \n",
      "246045   (41.88668036041311, 12.575035470356518)  41.888931  12.576432   \n",
      "246046  (41.888931035101535, 12.576431547043134)  41.888497  12.573284   \n",
      "246047   (41.88849734581535, 12.573284451843833)  41.886525  12.571849   \n",
      "246048     (41.88652464585601, 12.5718486373542)  41.887720  12.572006   \n",
      "246049    (41.88772044200736, 12.57200648067012)  41.887873  12.572751   \n",
      "246050   (41.887873472486994, 12.57275100015961)  41.887915  12.572892   \n",
      "246051    (41.88791535813918, 12.57289157312588)  41.887185  12.572532   \n",
      "246052   (41.88718451790819, 12.572531572217851)  41.887736  12.571569   \n",
      "246053   (41.88773645767665, 12.571569266092492)  41.887329  12.570526   \n",
      "246054   (41.88732894603365, 12.570526478990551)  41.887139  12.570856   \n",
      "246055   (41.88713926448442, 12.570856340527502)  41.886591  12.572319   \n",
      "246056  (41.886591468672485, 12.572318558149895)  41.886180  12.572045   \n",
      "246057   (41.88617959834241, 12.572045391014806)  41.887022  12.570521   \n",
      "246058      (41.887022269034, 12.57052141797048)  41.885899  12.573520   \n",
      "246059   (41.88589904721261, 12.573520066870351)  41.887254  12.573723   \n",
      "246060   (41.88725392896002, 12.573723234222026)  41.888378  12.573158   \n",
      "246061   (41.88837760739522, 12.573158182145317)  41.887622  12.573088   \n",
      "246062  (41.887621889384846, 12.573088352559468)  41.888587  12.573126   \n",
      "246063   (41.88858707382344, 12.573125559012404)  41.886010  12.573923   \n",
      "246064     (41.88601026314343, 12.5739227524964)  41.889221  12.572526   \n",
      "246065  (41.889221049258126, 12.572525673652889)  41.887308  12.574213   \n",
      "246066   (41.88730838995368, 12.574212877413869)  41.890018  12.574543   \n",
      "246067    (41.89001777341813, 12.57454283390942)  41.890993  12.573796   \n",
      "246068   (41.89099293543042, 12.573795536362873)  41.889786  12.573683   \n",
      "246069    (41.8897856099329, 12.573682922313436)  41.889786  12.573683   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "246037     0.168093             0.001514           176  \n",
      "246038     0.023100             0.000210           196  \n",
      "246039     0.033987             0.000400           198  \n",
      "246040     0.360324             0.003528           206  \n",
      "246041     0.174760             0.001932           162  \n",
      "246042     0.173949             0.001642           160  \n",
      "246043     0.231779             0.002793           166  \n",
      "246044     0.180684             0.002175           180  \n",
      "246045     0.275532             0.002649           180  \n",
      "246046     0.265598             0.003177           176  \n",
      "246047     0.249420             0.002440           140  \n",
      "246048     0.133463             0.001206           178  \n",
      "246049     0.064087             0.000760           172  \n",
      "246050     0.012560             0.000147           168  \n",
      "246051     0.086499             0.000815           168  \n",
      "246052     0.100683             0.001109           172  \n",
      "246053     0.097669             0.001120           176  \n",
      "246054     0.034546             0.000381           184  \n",
      "246055     0.135758             0.001561           182  \n",
      "246056     0.051057             0.000494           176  \n",
      "246057     0.157350             0.001741           180  \n",
      "246058     0.278400             0.003202           180  \n",
      "246059     0.151430             0.001370           152  \n",
      "246060     0.133328             0.001258           152  \n",
      "246061     0.084138             0.000759           146  \n",
      "246062     0.107249             0.000966           168  \n",
      "246063     0.293757             0.002697           142  \n",
      "246064     0.375002             0.003502           172  \n",
      "246065     0.254440             0.002550           160  \n",
      "246066     0.302178             0.002729           156  \n",
      "246067     0.124812             0.001229           176  \n",
      "246068     0.134424             0.001213           228  \n",
      "246069     0.000000             0.000000           186  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "224210     381928  41.925835  12.468916     0   \n",
      "224211     381928  41.927026  12.469695    92   \n",
      "224212     381928  41.928814  12.470569    92   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "224210  (41.92583450887256, 12.468915546584928)  41.927026  12.469695   \n",
      "224211  (41.92702626907823, 12.469694618823391)  41.928814  12.470569   \n",
      "224212   (41.9288144788358, 12.470568555922718)  41.928814  12.470569   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "224210     0.147302             0.001424           243  \n",
      "224211     0.211434             0.001990           252  \n",
      "224212     0.000000             0.000000           180  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "112509     387022  41.922833  12.468627     0   \n",
      "112510     387022  41.922807  12.468861     0   \n",
      "112511     387022  41.924653  12.468796   211   \n",
      "112512     387022  41.925427  12.469247   211   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "112509  (41.92283310943049, 12.468626783342462)  41.922807  12.468861   \n",
      "112510   (41.9228074659428, 12.468860909176838)  41.924653  12.468796   \n",
      "112511    (41.9246525857054, 12.46879597040742)  41.925427  12.469247   \n",
      "112512   (41.92542665972829, 12.46924749833684)  41.925427  12.469247   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "112509     0.019629             0.000236           201  \n",
      "112510     0.205012             0.001846           185  \n",
      "112511     0.093781             0.000896           259  \n",
      "112512     0.000000             0.000000           255  \n",
      "       tripIndex        lat        lon  time  \\\n",
      "92046     387944  41.836519  12.484879     0   \n",
      "92047     387944  41.838152  12.486903    42   \n",
      "92048     387944  41.838943  12.484037   114   \n",
      "\n",
      "                                       lat-lon   lat_next   lon_next  \\\n",
      "92046  (41.836519208262295, 12.48487933726294)  41.838152  12.486903   \n",
      "92047    (41.83815233373564, 12.4869034196963)  41.838943  12.484037   \n",
      "92048  (41.83894295434177, 12.484036644544032)  41.838943  12.484037   \n",
      "\n",
      "       distance_km  distance_in_minutes  number_trees  \n",
      "92046     0.247322             0.002601           181  \n",
      "92047     0.253790             0.002974           152  \n",
      "92048     0.000000             0.000000           129  \n",
      "       tripIndex        lat        lon  time  \\\n",
      "49635     388495  41.917093  12.564463     0   \n",
      "49636     388495  41.915722  12.562888     0   \n",
      "49637     388495  41.916280  12.565671    56   \n",
      "49638     388495  41.917774  12.565397    56   \n",
      "49639     388495  41.916847  12.564700    56   \n",
      "49640     388495  41.914826  12.566244    56   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "49635   (41.91709307503469, 12.564462797004566)  41.915722  12.562888   \n",
      "49636     (41.91572177723586, 12.5628883533002)  41.916280  12.565671   \n",
      "49637   (41.91628032500625, 12.565671310277796)  41.917774  12.565397   \n",
      "49638  (41.917774276777294, 12.565397019402226)  41.916847  12.564700   \n",
      "49639   (41.91684665187168, 12.564700188726668)  41.914826  12.566244   \n",
      "49640   (41.91482576234903, 12.566244105940724)  41.914826  12.566244   \n",
      "\n",
      "       distance_km  distance_in_minutes  number_trees  \n",
      "49635     0.200647             0.002088           223  \n",
      "49636     0.239063             0.002838           222  \n",
      "49637     0.167489             0.001519           249  \n",
      "49638     0.118142             0.001160           212  \n",
      "49639     0.258436             0.002543           226  \n",
      "49640     0.000000             0.000000           290  \n",
      "       tripIndex        lat        lon  time  \\\n",
      "12197     388996  41.881590  12.437773     0   \n",
      "12198     388996  41.880954  12.435910    33   \n",
      "12199     388996  41.881126  12.437769    33   \n",
      "\n",
      "                                       lat-lon   lat_next   lon_next  \\\n",
      "12197  (41.881590390274674, 12.43777326427902)  41.880954  12.435910   \n",
      "12198  (41.88095392704091, 12.435909750758174)  41.881126  12.437769   \n",
      "12199  (41.88112583806591, 12.437768518034051)  41.881126  12.437769   \n",
      "\n",
      "       distance_km  distance_in_minutes  number_trees  \n",
      "12197     0.170069             0.001969            91  \n",
      "12198     0.155464             0.001867           159  \n",
      "12199     0.000000             0.000000           109  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "128778     388997  41.896882  12.562739     0   \n",
      "128779     388997  41.896971  12.563536     0   \n",
      "128780     388997  41.895852  12.561608     0   \n",
      "128781     388997  41.896529  12.560711     0   \n",
      "128782     388997  41.897142  12.563301     0   \n",
      "128783     388997  41.897303  12.562289     0   \n",
      "128784     388997  41.896629  12.561165     0   \n",
      "128785     388997  41.898564  12.564314   287   \n",
      "128786     388997  41.897058  12.563224   287   \n",
      "128787     388997  41.896854  12.563616   287   \n",
      "128788     388997  41.897356  12.563746   287   \n",
      "128789     388997  41.895782  12.563362   287   \n",
      "128790     388997  41.896400  12.564025   287   \n",
      "128791     388997  41.897947  12.566009   287   \n",
      "128792     388997  41.899040  12.565675   433   \n",
      "128793     388997  41.899614  12.566185   433   \n",
      "128794     388997  41.896401  12.565549   433   \n",
      "128795     388997  41.897032  12.565818   433   \n",
      "128796     388997  41.898239  12.565150   433   \n",
      "128797     388997  41.898944  12.566255   433   \n",
      "128798     388997  41.898540  12.564134   433   \n",
      "128799     388997  41.898645  12.565807   576   \n",
      "128800     388997  41.897123  12.564733   576   \n",
      "128801     388997  41.898415  12.566236   576   \n",
      "128802     388997  41.897844  12.565453   576   \n",
      "128803     388997  41.899679  12.567467   576   \n",
      "128804     388997  41.898267  12.568104   576   \n",
      "128805     388997  41.898877  12.566477   576   \n",
      "128806     388997  41.896521  12.565722   752   \n",
      "128807     388997  41.897527  12.565455   752   \n",
      "128808     388997  41.900595  12.568221   752   \n",
      "128809     388997  41.899572  12.566750   752   \n",
      "128810     388997  41.898370  12.567791   752   \n",
      "128811     388997  41.897171  12.566876   752   \n",
      "128812     388997  41.898936  12.566867   752   \n",
      "\n",
      "                                         lat-lon   lat_next   lon_next  \\\n",
      "128778   (41.89688218766278, 12.562739081932053)  41.896971  12.563536   \n",
      "128779  (41.896971114811706, 12.563535700944575)  41.895852  12.561608   \n",
      "128780   (41.89585201564929, 12.561607506154775)  41.896529  12.560711   \n",
      "128781  (41.896529335618446, 12.560711455614111)  41.897142  12.563301   \n",
      "128782   (41.89714241184845, 12.563301449051584)  41.897303  12.562289   \n",
      "128783   (41.89730266334883, 12.562289417051357)  41.896629  12.561165   \n",
      "128784    (41.8966288660253, 12.561165115395424)  41.898564  12.564314   \n",
      "128785     (41.8985642539093, 12.56431355204724)  41.897058  12.563224   \n",
      "128786    (41.89705826774546, 12.56322422267658)  41.896854  12.563616   \n",
      "128787   (41.89685416528533, 12.563616205758652)  41.897356  12.563746   \n",
      "128788   (41.89735642473504, 12.563745894016728)  41.895782  12.563362   \n",
      "128789   (41.89578232348716, 12.563362292558097)  41.896400  12.564025   \n",
      "128790   (41.89640048217174, 12.564024843657307)  41.897947  12.566009   \n",
      "128791   (41.89794674512859, 12.566009098603589)  41.899040  12.565675   \n",
      "128792   (41.89903985022709, 12.565675413805414)  41.899614  12.566185   \n",
      "128793  (41.899613945837295, 12.566184861625755)  41.896401  12.565549   \n",
      "128794   (41.89640097940319, 12.565549154675448)  41.897032  12.565818   \n",
      "128795    (41.89703191481931, 12.56581841186853)  41.898239  12.565150   \n",
      "128796    (41.8982389944948, 12.565150316449431)  41.898944  12.566255   \n",
      "128797    (41.8989435041133, 12.566254554433392)  41.898540  12.564134   \n",
      "128798   (41.89854040508529, 12.564134366947538)  41.898645  12.565807   \n",
      "128799   (41.89864462831087, 12.565807102595342)  41.897123  12.564733   \n",
      "128800    (41.8971234820154, 12.564733241691838)  41.898415  12.566236   \n",
      "128801    (41.89841505231332, 12.56623577220839)  41.897844  12.565453   \n",
      "128802  (41.897843838873925, 12.565453170370738)  41.899679  12.567467   \n",
      "128803   (41.89967938064772, 12.567467137213658)  41.898267  12.568104   \n",
      "128804    (41.8982667881583, 12.568103725955297)  41.898877  12.566477   \n",
      "128805   (41.89887688459247, 12.566476708615756)  41.896521  12.565722   \n",
      "128806   (41.89652121111729, 12.565722325677353)  41.897527  12.565455   \n",
      "128807   (41.89752721612119, 12.565454936973522)  41.900595  12.568221   \n",
      "128808   (41.90059457157622, 12.568221265521183)  41.899572  12.566750   \n",
      "128809    (41.89957197197651, 12.56674975170114)  41.898370  12.567791   \n",
      "128810  (41.898370274734845, 12.567791286047925)  41.897171  12.566876   \n",
      "128811    (41.89717093990343, 12.56687590737039)  41.898936  12.566867   \n",
      "128812     (41.8989355668545, 12.56686686411742)  41.898936  12.566867   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "128778     0.066841             0.000802           162  \n",
      "128779     0.202618             0.002229           126  \n",
      "128780     0.105778             0.001123           232  \n",
      "128781     0.225458             0.002662           209  \n",
      "128782     0.085848             0.001025           129  \n",
      "128783     0.119607             0.001311           165  \n",
      "128784     0.338336             0.003696           195  \n",
      "128785     0.190135             0.001859            66  \n",
      "128786     0.039649             0.000442           133  \n",
      "128787     0.056815             0.000519           136  \n",
      "128788     0.177712             0.001620           111  \n",
      "128789     0.087961             0.000906           217  \n",
      "128790     0.237928             0.002516           155  \n",
      "128791     0.124530             0.001143           123  \n",
      "128792     0.076506             0.000768           112  \n",
      "128793     0.360746             0.003275           119  \n",
      "128794     0.073555             0.000686           146  \n",
      "128795     0.145083             0.001380           126  \n",
      "128796     0.120497             0.001310           101  \n",
      "128797     0.181545             0.002158           120  \n",
      "128798     0.139289             0.001676            63  \n",
      "128799     0.191016             0.001862           113  \n",
      "128800     0.190069             0.001981           107  \n",
      "128801     0.090790             0.000969           124  \n",
      "128802     0.263620             0.002725           118  \n",
      "128803     0.165553             0.001549           140  \n",
      "128804     0.151065             0.001738           135  \n",
      "128805     0.269032             0.002474           124  \n",
      "128806     0.113920             0.001041           150  \n",
      "128807     0.410814             0.004131           119  \n",
      "128808     0.166766             0.001792           111  \n",
      "128809     0.159013             0.001590           135  \n",
      "128810     0.153347             0.001509           139  \n",
      "128811     0.196001             0.001765           161  \n",
      "128812     0.000000             0.000000           127  \n",
      "       tripIndex        lat        lon  time  \\\n",
      "61783     390084  41.934047  12.537224     0   \n",
      "61784     390084  41.933627  12.535012     0   \n",
      "61785     390084  41.934125  12.537061     0   \n",
      "61786     390084  41.934102  12.535315     0   \n",
      "61787     390084  41.932209  12.537709    98   \n",
      "61788     390084  41.931506  12.535847    98   \n",
      "61789     390084  41.932014  12.536585    98   \n",
      "61790     390084  41.932325  12.534177   253   \n",
      "61791     390084  41.934553  12.536090   253   \n",
      "61792     390084  41.934265  12.537985   583   \n",
      "61793     390084  41.934070  12.536260   583   \n",
      "61794     390084  41.932715  12.535722   583   \n",
      "61795     390084  41.933785  12.537467   686   \n",
      "61796     390084  41.933566  12.537906   686   \n",
      "61797     390084  41.934209  12.536361   686   \n",
      "61798     390084  41.934016  12.536121   736   \n",
      "61799     390084  41.934324  12.536456   736   \n",
      "61800     390084  41.935565  12.536163   736   \n",
      "61801     390084  41.935204  12.536074   736   \n",
      "61802     390084  41.936191  12.537155   748   \n",
      "61803     390084  41.935421  12.536380   748   \n",
      "61804     390084  41.932465  12.535818   758   \n",
      "61805     390084  41.936052  12.535016   759   \n",
      "61806     390084  41.934527  12.537255   775   \n",
      "61807     390084  41.934176  12.538001   776   \n",
      "61808     390084  41.934372  12.536910   776   \n",
      "61809     390084  41.934449  12.536879   776   \n",
      "61810     390084  41.933795  12.535302   789   \n",
      "61811     390084  41.934855  12.537520   789   \n",
      "61812     390084  41.935967  12.536402   820   \n",
      "61813     390084  41.934004  12.539467   820   \n",
      "61814     390084  41.934063  12.535826   820   \n",
      "61815     390084  41.934789  12.536429   820   \n",
      "61816     390084  41.934456  12.534967   895   \n",
      "61817     390084  41.933944  12.536079   895   \n",
      "61818     390084  41.932788  12.535634   895   \n",
      "61819     390084  41.933900  12.536947   895   \n",
      "61820     390084  41.935208  12.538516  1046   \n",
      "61821     390084  41.934318  12.536787  1046   \n",
      "61822     390084  41.935025  12.536246  1046   \n",
      "61823     390084  41.934148  12.536555  1046   \n",
      "61824     390084  41.936378  12.535159  1163   \n",
      "61825     390084  41.934007  12.536748  1163   \n",
      "61826     390084  41.933716  12.536369  1163   \n",
      "61827     390084  41.933336  12.537298  1163   \n",
      "61828     390084  41.933525  12.536024  1180   \n",
      "61829     390084  41.936363  12.535870  1180   \n",
      "61830     390084  41.933313  12.538147  1181   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "61783     (41.93404651742247, 12.5372235208818)  41.933627  12.535012   \n",
      "61784   (41.93362748730709, 12.535012322612545)  41.934125  12.537061   \n",
      "61785   (41.93412502535914, 12.537060697268766)  41.934102  12.535315   \n",
      "61786   (41.93410158793414, 12.535315437202971)  41.932209  12.537709   \n",
      "61787   (41.93220895470253, 12.537708996856892)  41.931506  12.535847   \n",
      "61788   (41.93150562298913, 12.535846764871994)  41.932014  12.536585   \n",
      "61789   (41.93201351445172, 12.536585344919178)  41.932325  12.534177   \n",
      "61790   (41.932324729720776, 12.53417705141631)  41.934553  12.536090   \n",
      "61791    (41.93455295959425, 12.53608966422208)  41.934265  12.537985   \n",
      "61792    (41.93426510159458, 12.53798528150748)  41.934070  12.536260   \n",
      "61793   (41.93406978011108, 12.536259926711638)  41.932715  12.535722   \n",
      "61794   (41.93271542115241, 12.535722429028963)  41.933785  12.537467   \n",
      "61795    (41.93378523841736, 12.53746683731832)  41.933566  12.537906   \n",
      "61796    (41.93356633817883, 12.53790563720226)  41.934209  12.536361   \n",
      "61797    (41.9342087191884, 12.536361311721606)  41.934016  12.536121   \n",
      "61798   (41.93401632244819, 12.536121379346064)  41.934324  12.536456   \n",
      "61799    (41.93432449246438, 12.53645591865302)  41.935565  12.536163   \n",
      "61800   (41.93556523274292, 12.536163090706818)  41.935204  12.536074   \n",
      "61801   (41.93520414418804, 12.536074212812409)  41.936191  12.537155   \n",
      "61802  (41.936190880476914, 12.537155292897056)  41.935421  12.536380   \n",
      "61803   (41.93542052071797, 12.536380244097783)  41.932465  12.535818   \n",
      "61804   (41.93246500817545, 12.535818401078943)  41.936052  12.535016   \n",
      "61805   (41.93605225810545, 12.535016166472287)  41.934527  12.537255   \n",
      "61806    (41.9345267220757, 12.537255393419626)  41.934176  12.538001   \n",
      "61807   (41.93417555863494, 12.538001480969127)  41.934372  12.536910   \n",
      "61808  (41.934372123639946, 12.536910197207837)  41.934449  12.536879   \n",
      "61809   (41.93444877874953, 12.536878556575962)  41.933795  12.535302   \n",
      "61810   (41.93379453750968, 12.535301896037703)  41.934855  12.537520   \n",
      "61811   (41.93485466578305, 12.537519588751891)  41.935967  12.536402   \n",
      "61812   (41.93596708916823, 12.536401943306911)  41.934004  12.539467   \n",
      "61813   (41.93400447350688, 12.539466577973151)  41.934063  12.535826   \n",
      "61814    (41.93406251308495, 12.53582604620264)  41.934789  12.536429   \n",
      "61815    (41.93478868697574, 12.53642872135386)  41.934456  12.534967   \n",
      "61816   (41.93445625209911, 12.534967343759366)  41.933944  12.536079   \n",
      "61817   (41.93394402015952, 12.536078566274837)  41.932788  12.535634   \n",
      "61818   (41.93278753516524, 12.535634152217389)  41.933900  12.536947   \n",
      "61819   (41.933900121158615, 12.53694748954014)  41.935208  12.538516   \n",
      "61820   (41.93520761915144, 12.538515779155269)  41.934318  12.536787   \n",
      "61821   (41.93431798627886, 12.536787313665098)  41.935025  12.536246   \n",
      "61822  (41.935025131546375, 12.536246103074648)  41.934148  12.536555   \n",
      "61823    (41.9341482146174, 12.536554850362169)  41.936378  12.535159   \n",
      "61824    (41.93637780851565, 12.53515878722063)  41.934007  12.536748   \n",
      "61825    (41.9340065577713, 12.536748081405962)  41.933716  12.536369   \n",
      "61826   (41.93371622160068, 12.536369253321087)  41.933336  12.537298   \n",
      "61827   (41.93333624116661, 12.537297515847442)  41.933525  12.536024   \n",
      "61828   (41.93352499314224, 12.536024319335423)  41.936363  12.535870   \n",
      "61829   (41.93636321723648, 12.535870167669486)  41.933313  12.538147   \n",
      "61830   (41.93331327332104, 12.538146774249578)  41.933313  12.538147   \n",
      "\n",
      "       distance_km  distance_in_minutes  number_trees  \n",
      "61783     0.189203             0.002251           179  \n",
      "61784     0.178647             0.002108           177  \n",
      "61785     0.144769             0.001745           174  \n",
      "61786     0.289137             0.003051           168  \n",
      "61787     0.173084             0.001991           177  \n",
      "61788     0.083276             0.000896           150  \n",
      "61789     0.202710             0.002428           168  \n",
      "61790     0.293965             0.002937           130  \n",
      "61791     0.160433             0.001917           167  \n",
      "61792     0.144729             0.001736           175  \n",
      "61793     0.156898             0.001457           178  \n",
      "61794     0.187219             0.002046           172  \n",
      "61795     0.043767             0.000490           185  \n",
      "61796     0.146614             0.001673           180  \n",
      "61797     0.029200             0.000308           179  \n",
      "61798     0.044062             0.000455           179  \n",
      "61799     0.139935             0.001275           175  \n",
      "61800     0.040779             0.000372           169  \n",
      "61801     0.141600             0.001464           167  \n",
      "61802     0.107019             0.001093           156  \n",
      "61803     0.331565             0.003008           164  \n",
      "61804     0.403960             0.003676           167  \n",
      "61805     0.251395             0.002710           189  \n",
      "61806     0.073145             0.000825           173  \n",
      "61807     0.093103             0.001109           175  \n",
      "61808     0.008909             0.000083           172  \n",
      "61809     0.149597             0.001707           174  \n",
      "61810     0.218390             0.002458           176  \n",
      "61811     0.154462             0.001577           166  \n",
      "61812     0.334844             0.003639           175  \n",
      "61813     0.302001             0.003641           168  \n",
      "61814     0.094889             0.000944           178  \n",
      "61815     0.126700             0.001499           162  \n",
      "61816     0.108308             0.001224           173  \n",
      "61817     0.133637             0.001239           180  \n",
      "61818     0.164730             0.001721           175  \n",
      "61819     0.194957             0.002042           180  \n",
      "61820     0.174108             0.001944           176  \n",
      "61821     0.090465             0.000890           175  \n",
      "61822     0.100711             0.000930           162  \n",
      "61823     0.273375             0.002631           184  \n",
      "61824     0.294520             0.002855           204  \n",
      "61825     0.045023             0.000477           178  \n",
      "61826     0.087797             0.001003           191  \n",
      "61827     0.107656             0.001287           186  \n",
      "61828     0.315506             0.002842           192  \n",
      "61829     0.387828             0.003806           187  \n",
      "61830     0.000000             0.000000           178  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "223045     390392  41.884634  12.577423     0   \n",
      "223046     390392  41.885067  12.576682     0   \n",
      "223047     390392  41.883871  12.577082    31   \n",
      "223048     390392  41.885263  12.575932    31   \n",
      "223049     390392  41.885691  12.577335   123   \n",
      "223050     390392  41.883885  12.577386   123   \n",
      "223051     390392  41.883076  12.576089   153   \n",
      "223052     390392  41.884198  12.577924   153   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "223045  (41.88463441173735, 12.577422978380117)  41.885067  12.576682   \n",
      "223046  (41.88506670917412, 12.576681613908812)  41.883871  12.577082   \n",
      "223047  (41.88387067241037, 12.577081548666762)  41.885263  12.575932   \n",
      "223048  (41.88526290295228, 12.575931799123898)  41.885691  12.577335   \n",
      "223049   (41.8856909930684, 12.577334631160864)  41.883885  12.577386   \n",
      "223050  (41.88388502748592, 12.577386400498147)  41.883076  12.576089   \n",
      "223051   (41.88307574798855, 12.57608896098907)  41.884198  12.577924   \n",
      "223052  (41.88419829387472, 12.577924084346476)  41.884198  12.577924   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "223045     0.078050             0.000858           242  \n",
      "223046     0.136930             0.001261           208  \n",
      "223047     0.181712             0.001806           226  \n",
      "223048     0.125768             0.001467           204  \n",
      "223049     0.200637             0.001807           206  \n",
      "223050     0.140274             0.001529           240  \n",
      "223051     0.196841             0.002151           212  \n",
      "223052     0.000000             0.000000           254  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "145010     390415  41.945300  12.538871     0   \n",
      "145011     390415  41.945674  12.537321     0   \n",
      "145012     390415  41.945967  12.540038     0   \n",
      "145013     390415  41.945311  12.537956   130   \n",
      "145014     390415  41.945282  12.538616   130   \n",
      "145015     390415  41.943372  12.538829   130   \n",
      "145016     390415  41.944933  12.539112   130   \n",
      "145017     390415  41.945352  12.537484   273   \n",
      "145018     390415  41.945910  12.538367   273   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "145010  (41.945300441767785, 12.53887127390776)  41.945674  12.537321   \n",
      "145011  (41.94567403662416, 12.537320725498663)  41.945967  12.540038   \n",
      "145012   (41.9459665559101, 12.540038429843133)  41.945311  12.537956   \n",
      "145013   (41.94531128895094, 12.53795607690232)  41.945282  12.538616   \n",
      "145014  (41.94528218918614, 12.538616390027649)  41.943372  12.538829   \n",
      "145015  (41.94337165057733, 12.538828560555896)  41.944933  12.539112   \n",
      "145016  (41.94493301914294, 12.539111534536664)  41.945352  12.537484   \n",
      "145017  (41.94535181994014, 12.537483545030968)  41.945910  12.538367   \n",
      "145018  (41.94590998413791, 12.538367019769408)  41.945910  12.538367   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "145010     0.135104             0.001595           157  \n",
      "145011     0.227685             0.002733           189  \n",
      "145012     0.187384             0.002183           134  \n",
      "145013     0.054850             0.000661           175  \n",
      "145014     0.212936             0.001922           167  \n",
      "145015     0.175005             0.001587           161  \n",
      "145016     0.142786             0.001681           160  \n",
      "145017     0.095971             0.001045           180  \n",
      "145018     0.000000             0.000000           163  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "133762     391247  41.866502  12.444048     0   \n",
      "133763     391247  41.866663  12.444141     0   \n",
      "133764     391247  41.868944  12.443533     0   \n",
      "133765     391247  41.866428  12.444007     0   \n",
      "133766     391247  41.866978  12.443618   193   \n",
      "133767     391247  41.868055  12.443950   193   \n",
      "133768     391247  41.869589  12.443202   257   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "133762  (41.866502425833296, 12.44404752374471)  41.866663  12.444141   \n",
      "133763  (41.86666337636316, 12.444141130348996)  41.868944  12.443533   \n",
      "133764   (41.8689442651832, 12.443532526495016)  41.866428  12.444007   \n",
      "133765  (41.86642841028296, 12.444007014400748)  41.866978  12.443618   \n",
      "133766  (41.86697828413084, 12.443618060212469)  41.868055  12.443950   \n",
      "133767    (41.86805501924087, 12.4439502439165)  41.869589  12.443202   \n",
      "133768  (41.86958857048821, 12.443201884272684)  41.869589  12.443202   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "133762     0.019493             0.000186           177  \n",
      "133763     0.258330             0.002361           175  \n",
      "133764     0.282201             0.002560           169  \n",
      "133765     0.069086             0.000674           173  \n",
      "133766     0.122732             0.001127           173  \n",
      "133767     0.181310             0.001706           163  \n",
      "133768     0.000000             0.000000           159  \n",
      "       tripIndex        lat        lon  time  \\\n",
      "93390     391691  41.914271  12.453676     0   \n",
      "93391     391691  41.914581  12.454750     0   \n",
      "93392     391691  41.913428  12.454386     0   \n",
      "93393     391691  41.914419  12.455538     0   \n",
      "93394     391691  41.915029  12.454614    41   \n",
      "93395     391691  41.914426  12.453286    41   \n",
      "93396     391691  41.913677  12.453468    41   \n",
      "93397     391691  41.913777  12.455618    41   \n",
      "93398     391691  41.914753  12.455456    70   \n",
      "93399     391691  41.912877  12.454237    70   \n",
      "93400     391691  41.914920  12.454634    70   \n",
      "93401     391691  41.912702  12.455780    70   \n",
      "93402     391691  41.914956  12.453565   155   \n",
      "93403     391691  41.913553  12.455139   155   \n",
      "93404     391691  41.914033  12.454236   155   \n",
      "93405     391691  41.915236  12.456805   155   \n",
      "\n",
      "                                       lat-lon   lat_next   lon_next  \\\n",
      "93390   (41.91427120491447, 12.45367569217416)  41.914581  12.454750   \n",
      "93391  (41.91458139572505, 12.454749608739746)  41.913428  12.454386   \n",
      "93392   (41.9134275283576, 12.454385658049642)  41.914419  12.455538   \n",
      "93393  (41.91441935270556, 12.455538420449937)  41.915029  12.454614   \n",
      "93394  (41.91502930434072, 12.454614330606088)  41.914426  12.453286   \n",
      "93395  (41.91442587297227, 12.453286226930386)  41.913677  12.453468   \n",
      "93396  (41.91367720667101, 12.453467672304258)  41.913777  12.455618   \n",
      "93397  (41.91377748395627, 12.455618479886336)  41.914753  12.455456   \n",
      "93398     (41.91475338380141, 12.455455733898)  41.912877  12.454237   \n",
      "93399  (41.91287716404021, 12.454237240719287)  41.914920  12.454634   \n",
      "93400  (41.914919895922615, 12.45463404135977)  41.912702  12.455780   \n",
      "93401  (41.91270154616172, 12.455780200158118)  41.914956  12.453565   \n",
      "93402  (41.91495625529782, 12.453564650167891)  41.913553  12.455139   \n",
      "93403   (41.91355282662734, 12.45513910832315)  41.914033  12.454236   \n",
      "93404  (41.91403285970961, 12.454236336147428)  41.915236  12.456805   \n",
      "93405  (41.91523568804056, 12.456804862321098)  41.915236  12.456805   \n",
      "\n",
      "       distance_km  distance_in_minutes  number_trees  \n",
      "93390     0.095524             0.001118            40  \n",
      "93391     0.131671             0.001210            52  \n",
      "93392     0.145884             0.001521            43  \n",
      "93393     0.102309             0.001107            45  \n",
      "93394     0.128966             0.001459            57  \n",
      "93395     0.084507             0.000770            45  \n",
      "93396     0.178784             0.002153            45  \n",
      "93397     0.109232             0.000989            48  \n",
      "93398     0.231619             0.002237            49  \n",
      "93399     0.229265             0.002081            49  \n",
      "93400     0.264107             0.002497            56  \n",
      "93401     0.310648             0.003161            55  \n",
      "93402     0.203373             0.002109            48  \n",
      "93403     0.091936             0.001022            34  \n",
      "93404     0.251507             0.002836            36  \n",
      "93405     0.000000             0.000000            89  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "217440     394342  41.882638  12.567173     0   \n",
      "217441     394342  41.882801  12.566046     0   \n",
      "217442     394342  41.881210  12.564935    14   \n",
      "217443     394342  41.882045  12.566104    14   \n",
      "217444     394342  41.882686  12.566068    14   \n",
      "217445     394342  41.881243  12.566382    14   \n",
      "\n",
      "                                         lat-lon   lat_next   lon_next  \\\n",
      "217440   (41.88263821981561, 12.567172870051389)  41.882801  12.566046   \n",
      "217441    (41.88280139765357, 12.56604579327193)  41.881210  12.564935   \n",
      "217442    (41.88121018270146, 12.56493463251414)  41.882045  12.566104   \n",
      "217443     (41.882045248064, 12.566103780412456)  41.882686  12.566068   \n",
      "217444    (41.88268571784703, 12.56606792554819)  41.881243  12.566382   \n",
      "217445  (41.881243359383134, 12.566382159913882)  41.881243  12.566382   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "217440     0.095290             0.001139           104  \n",
      "217441     0.199356             0.001941           112  \n",
      "217442     0.134240             0.001437           110  \n",
      "217443     0.071200             0.000641           108  \n",
      "217444     0.162314             0.001476           108  \n",
      "217445     0.000000             0.000000           108  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "169381     398077  41.906183  12.417258     0   \n",
      "169382     398077  41.907593  12.418264   138   \n",
      "169383     398077  41.907009  12.417810   138   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "169381  (41.90618289805641, 12.417258314424084)  41.907593  12.418264   \n",
      "169382    (41.9075926669967, 12.41826363497418)  41.907009  12.417810   \n",
      "169383  (41.90700910255024, 12.417810206484589)  41.907009  12.417810   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "169381     0.177416             0.001732           190  \n",
      "169382     0.074944             0.000739           218  \n",
      "169383     0.000000             0.000000           201  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "183859     398708  41.943738  12.516242     0   \n",
      "183860     398708  41.944240  12.516372     0   \n",
      "183861     398708  41.942666  12.515988     0   \n",
      "183862     398708  41.943804  12.515396   131   \n",
      "183863     398708  41.945351  12.517380   131   \n",
      "183864     398708  41.944929  12.515209   131   \n",
      "\n",
      "                                         lat-lon   lat_next   lon_next  \\\n",
      "183859   (41.94373806528534, 12.516242005758652)  41.944240  12.516372   \n",
      "183860   (41.94424032473504, 12.516371694016728)  41.942666  12.515988   \n",
      "183861  (41.942666223487166, 12.515988092558096)  41.943804  12.515396   \n",
      "183862   (41.94380438217175, 12.515396143657307)  41.945351  12.517380   \n",
      "183863    (41.9453506451286, 12.517380398603589)  41.944929  12.515209   \n",
      "183864  (41.944929050227096, 12.515208813805414)  41.944929  12.515209   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "183859     0.056814             0.000519           148  \n",
      "183860     0.177709             0.001620           137  \n",
      "183861     0.135613             0.001283           195  \n",
      "183862     0.237845             0.002516           171  \n",
      "183863     0.186061             0.002212           116  \n",
      "183864     0.000000             0.000000           176  \n",
      "       tripIndex        lat        lon  time  \\\n",
      "18050     400735  41.920186  12.468349     0   \n",
      "18051     400735  41.920179  12.464399     1   \n",
      "18052     400735  41.919425  12.466122   146   \n",
      "\n",
      "                                       lat-lon   lat_next   lon_next  \\\n",
      "18050  (41.92018618208425, 12.468349065217572)  41.920179  12.464399   \n",
      "18051  (41.92017892684997, 12.464399265199887)  41.919425  12.466122   \n",
      "18052  (41.91942493372548, 12.466122017263636)  41.919425  12.466122   \n",
      "\n",
      "       distance_km  distance_in_minutes  number_trees  \n",
      "18050     0.327654             0.003950           213  \n",
      "18051     0.165641             0.001881           211  \n",
      "18052     0.000000             0.000000           221  \n",
      "       tripIndex        lat        lon  time  \\\n",
      "51243     403034  41.940485  12.422557     0   \n",
      "51244     403034  41.941576  12.425140     0   \n",
      "51245     403034  41.940557  12.425066     3   \n",
      "51246     403034  41.940762  12.425077     3   \n",
      "51247     403034  41.939941  12.424298     3   \n",
      "51248     403034  41.941246  12.422167   239   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "51243  (41.940485286052905, 12.422556759441695)  41.941576  12.425140   \n",
      "51244   (41.94157620374708, 12.425140304484811)  41.940557  12.425066   \n",
      "51245   (41.94055748865309, 12.425066300843875)  41.940762  12.425077   \n",
      "51246   (41.94076190856515, 12.425077069114398)  41.939941  12.424298   \n",
      "51247   (41.93994064943884, 12.424298344423818)  41.941246  12.422167   \n",
      "51248   (41.94124581022444, 12.422166840914077)  41.941246  12.422167   \n",
      "\n",
      "       distance_km  distance_in_minutes  number_trees  \n",
      "51243     0.246138             0.002804           173  \n",
      "51244     0.113317             0.001021           184  \n",
      "51245     0.022723             0.000205           167  \n",
      "51246     0.111764             0.001132           176  \n",
      "51247     0.228604             0.002499           170  \n",
      "51248     0.000000             0.000000           177  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "130023     406223  41.926488  12.464534     0   \n",
      "130024     406223  41.925665  12.463547     0   \n",
      "130025     406223  41.926962  12.466330     1   \n",
      "130026     406223  41.925783  12.465822     2   \n",
      "130027     406223  41.926785  12.464294     3   \n",
      "130028     406223  41.925060  12.465207    36   \n",
      "130029     406223  41.924892  12.465794    43   \n",
      "130030     406223  41.924148  12.465628    92   \n",
      "130031     406223  41.925572  12.465816   137   \n",
      "130032     406223  41.925182  12.469441   177   \n",
      "130033     406223  41.924492  12.468757   177   \n",
      "130034     406223  41.923358  12.469958   295   \n",
      "130035     406223  41.922961  12.467670   295   \n",
      "130036     406223  41.928531  12.468977   335   \n",
      "130037     406223  41.923443  12.470174   369   \n",
      "130038     406223  41.922871  12.471004   413   \n",
      "130039     406223  41.923494  12.468107   486   \n",
      "130040     406223  41.924013  12.471878   997   \n",
      "130041     406223  41.924421  12.471707   998   \n",
      "130042     406223  41.923794  12.471243  1024   \n",
      "130043     406223  41.922821  12.472522  1352   \n",
      "130044     406223  41.923931  12.470844  1940   \n",
      "130045     406223  41.923100  12.472134  1940   \n",
      "130046     406223  41.924532  12.472596  1980   \n",
      "130047     406223  41.923578  12.471297  1980   \n",
      "130048     406223  41.924976  12.470755  2025   \n",
      "130049     406223  41.924356  12.470024  2063   \n",
      "130050     406223  41.924111  12.469650  2100   \n",
      "130051     406223  41.926234  12.466179  2134   \n",
      "130052     406223  41.923788  12.467464  2183   \n",
      "130053     406223  41.923734  12.468323  2184   \n",
      "130054     406223  41.924295  12.468653  2229   \n",
      "130055     406223  41.924008  12.466848  2290   \n",
      "130056     406223  41.925502  12.467223  2290   \n",
      "130057     406223  41.925393  12.466561  2328   \n",
      "130058     406223  41.925901  12.466623  2352   \n",
      "130059     406223  41.924114  12.465924  2390   \n",
      "130060     406223  41.925968  12.464663  2423   \n",
      "130061     406223  41.925159  12.463369  2446   \n",
      "130062     406223  41.926634  12.464871  2485   \n",
      "130063     406223  41.926653  12.463260  2522   \n",
      "130064     406223  41.926678  12.464509  2543   \n",
      "130065     406223  41.926544  12.464986  2543   \n",
      "\n",
      "                                         lat-lon   lat_next   lon_next  \\\n",
      "130023  (41.926488151886495, 12.464533674259997)  41.925665  12.463547   \n",
      "130024   (41.92566539335607, 12.463547260662212)  41.926962  12.466330   \n",
      "130025   (41.92696167672471, 12.466330464436588)  41.925783  12.465822   \n",
      "130026   (41.92578304922661, 12.465821606106154)  41.926785  12.464294   \n",
      "130027   (41.92678540623893, 12.464293523187637)  41.925060  12.465207   \n",
      "130028   (41.92506038600096, 12.465206548293397)  41.924892  12.465794   \n",
      "130029  (41.924892331384086, 12.465793946823789)  41.924148  12.465628   \n",
      "130030   (41.92414795591493, 12.465627981840308)  41.925572  12.465816   \n",
      "130031   (41.92557214821373, 12.465815936511692)  41.925182  12.469441   \n",
      "130032  (41.925181837661874, 12.469440531863482)  41.924492  12.468757   \n",
      "130033   (41.92449215277717, 12.468756677286162)  41.923358  12.469958   \n",
      "130034    (41.9233577052356, 12.469957524191356)  41.922961  12.467670   \n",
      "130035   (41.92296095530237, 12.467669766974945)  41.928531  12.468977   \n",
      "130036   (41.92853104309486, 12.468976984020918)  41.923443  12.470174   \n",
      "130037   (41.92344318404441, 12.470173870857248)  41.922871  12.471004   \n",
      "130038   (41.92287052007163, 12.471003896048982)  41.923494  12.468107   \n",
      "130039   (41.92349418473159, 12.468107260751411)  41.924013  12.471878   \n",
      "130040   (41.92401272647929, 12.471878310607549)  41.924421  12.471707   \n",
      "130041   (41.92442142348264, 12.471707426579243)  41.923794  12.471243   \n",
      "130042   (41.92379397662753, 12.471242612558637)  41.922821  12.472522   \n",
      "130043   (41.92282064179216, 12.472521896450695)  41.923931  12.470844   \n",
      "130044    (41.9239313491798, 12.470843610410215)  41.923100  12.472134   \n",
      "130045    (41.92309951362014, 12.47213400816251)  41.924532  12.472596   \n",
      "130046   (41.92453210298172, 12.472595954972428)  41.923578  12.471297   \n",
      "130047   (41.92357790862437, 12.471297016111832)  41.924976  12.470755   \n",
      "130048   (41.92497617959654, 12.470755401581904)  41.924356  12.470024   \n",
      "130049  (41.924355816886816, 12.470024335964236)  41.924111  12.469650   \n",
      "130050   (41.92411107272626, 12.469650475692456)  41.926234  12.466179   \n",
      "130051    (41.92623374047637, 12.46617947496343)  41.923788  12.467464   \n",
      "130052   (41.92378795128923, 12.467464402093407)  41.923734  12.468323   \n",
      "130053   (41.92373379260116, 12.468322689789174)  41.924295  12.468653   \n",
      "130054   (41.92429537103761, 12.468653103508354)  41.924008  12.466848   \n",
      "130055   (41.92400846582039, 12.466848476478082)  41.925502  12.467223   \n",
      "130056    (41.92550185523576, 12.46722274214512)  41.925393  12.466561   \n",
      "130057   (41.92539299755413, 12.466561245891418)  41.925901  12.466623   \n",
      "130058   (41.92590093320846, 12.466622968943348)  41.924114  12.465924   \n",
      "130059    (41.92411447614582, 12.46592408209382)  41.925968  12.464663   \n",
      "130060    (41.92596838614459, 12.46466334465228)  41.925159  12.463369   \n",
      "130061    (41.92515911302703, 12.46336857936973)  41.926634  12.464871   \n",
      "130062    (41.92663395810328, 12.46487101154806)  41.926653  12.463260   \n",
      "130063   (41.92665308036947, 12.463259860699951)  41.926678  12.464509   \n",
      "130064  (41.926678213836986, 12.464508563375071)  41.926544  12.464986   \n",
      "130065   (41.92654438908996, 12.464985668073949)  41.926544  12.464986   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "130023     0.122661             0.001285           241  \n",
      "130024     0.272076             0.003070           243  \n",
      "130025     0.137548             0.001284           251  \n",
      "130026     0.168702             0.001828           299  \n",
      "130027     0.206025             0.001952           233  \n",
      "130028     0.052177             0.000611           286  \n",
      "130029     0.083817             0.000763           294  \n",
      "130030     0.158954             0.001437           276  \n",
      "130031     0.303761             0.003646           295  \n",
      "130032     0.095320             0.000971           252  \n",
      "130033     0.160622             0.001652           253  \n",
      "130034     0.194820             0.002322           188  \n",
      "130035     0.628110             0.005721           262  \n",
      "130036     0.573772             0.005227           214  \n",
      "130037     0.093735             0.001008           203  \n",
      "130038     0.250063             0.002963           204  \n",
      "130039     0.318065             0.003807           248  \n",
      "130040     0.047556             0.000443           255  \n",
      "130041     0.079646             0.000781           260  \n",
      "130042     0.151488             0.001607           241  \n",
      "130043     0.186011             0.002013           248  \n",
      "130044     0.141399             0.001535           235  \n",
      "130045     0.163669             0.001505           241  \n",
      "130046     0.151135             0.001612           264  \n",
      "130047     0.161676             0.001500           235  \n",
      "130048     0.091789             0.000959           260  \n",
      "130049     0.041239             0.000447           241  \n",
      "130050     0.372129             0.004069           225  \n",
      "130051     0.291818             0.002763           295  \n",
      "130052     0.071448             0.000860           265  \n",
      "130053     0.068131             0.000652           253  \n",
      "130054     0.153047             0.001827           264  \n",
      "130055     0.168754             0.001540           278  \n",
      "130056     0.056186             0.000670           304  \n",
      "130057     0.056649             0.000512           309  \n",
      "130058     0.206720             0.001918           288  \n",
      "130059     0.230950             0.002242           273  \n",
      "130060     0.140050             0.001527           272  \n",
      "130061     0.205829             0.002105           230  \n",
      "130062     0.133655             0.001611           248  \n",
      "130063     0.103612             0.001249           252  \n",
      "130064     0.042273             0.000496           226  \n",
      "130065     0.000000             0.000000           258  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "186179     409177  41.870944  12.593045     0   \n",
      "186180     409177  41.871183  12.594055     0   \n",
      "186181     409177  41.871424  12.591887     0   \n",
      "186182     409177  41.872286  12.594124    16   \n",
      "186183     409177  41.872878  12.593904    16   \n",
      "186184     409177  41.873263  12.593765    16   \n",
      "186185     409177  41.870909  12.594013    23   \n",
      "186186     409177  41.872160  12.594825    23   \n",
      "186187     409177  41.873095  12.594676    23   \n",
      "186188     409177  41.873293  12.595110   146   \n",
      "186189     409177  41.873003  12.594694   146   \n",
      "186190     409177  41.873267  12.595435   146   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "186179  (41.87094385260074, 12.593045334421788)  41.871183  12.594055   \n",
      "186180  (41.871183274201776, 12.59405459684309)  41.871424  12.591887   \n",
      "186181  (41.87142364058877, 12.591886707420572)  41.872286  12.594124   \n",
      "186182  (41.87228569855754, 12.594124373735491)  41.872878  12.593904   \n",
      "186183  (41.87287815657994, 12.593903835826548)  41.873263  12.593765   \n",
      "186184   (41.8732632900658, 12.593765097042809)  41.870909  12.594013   \n",
      "186185  (41.87090929316947, 12.594013347938011)  41.872160  12.594825   \n",
      "186186  (41.87216036835101, 12.594825016532123)  41.873095  12.594676   \n",
      "186187   (41.87309518396986, 12.59467597250632)  41.873293  12.595110   \n",
      "186188  (41.87329340787316, 12.595110290888686)  41.873003  12.594694   \n",
      "186189   (41.87300296406496, 12.59469370549513)  41.873267  12.595435   \n",
      "186190   (41.87326705561152, 12.59543491263936)  41.873267  12.595435   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "186179     0.087906             0.001037           113  \n",
      "186180     0.181942             0.002181            86  \n",
      "186181     0.208988             0.002398           204  \n",
      "186182     0.068304             0.000632           104  \n",
      "186183     0.044300             0.000409           164  \n",
      "186184     0.262271             0.002367           170  \n",
      "186185     0.154433             0.001491            84  \n",
      "186186     0.104565             0.000947            88  \n",
      "186187     0.042246             0.000477           109  \n",
      "186188     0.047293             0.000508           109  \n",
      "186189     0.068165             0.000787           108  \n",
      "186190     0.000000             0.000000            94  \n",
      "       tripIndex        lat        lon  time  \\\n",
      "76574     410038  41.914363  12.557348     0   \n",
      "76575     410038  41.915230  12.556555   124   \n",
      "76576     410038  41.914541  12.555229   125   \n",
      "\n",
      "                                       lat-lon   lat_next   lon_next  \\\n",
      "76574  (41.91436348416021, 12.557347695124133)  41.915230  12.556555   \n",
      "76575  (41.91523004756733, 12.556555223817885)  41.914541  12.555229   \n",
      "76576  (41.914541433258826, 12.55522896229587)  41.914541  12.555229   \n",
      "\n",
      "       distance_km  distance_in_minutes  number_trees  \n",
      "76574     0.116561             0.001174           182  \n",
      "76575     0.134001             0.001494           169  \n",
      "76576     0.000000             0.000000           153  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "230990     410526  41.931560  12.570200     0   \n",
      "230991     410526  41.929837  12.569879    85   \n",
      "230992     410526  41.929028  12.570853   205   \n",
      "\n",
      "                                       lat-lon   lat_next   lon_next  \\\n",
      "230990  (41.93155979143256, 12.57019957134241)  41.929837  12.569879   \n",
      "230991  (41.92983677739872, 12.56987931410352)  41.929028  12.570853   \n",
      "230992  (41.92902762626056, 12.57085279325959)  41.929028  12.570853   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "230990     0.193213             0.001753           222  \n",
      "230991     0.120817             0.001266           317  \n",
      "230992     0.000000             0.000000           316  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "206095     410963  41.880090  12.486097     0   \n",
      "206096     410963  41.879124  12.486888     3   \n",
      "206097     410963  41.880828  12.487066     3   \n",
      "206098     410963  41.880639  12.486571     3   \n",
      "206099     410963  41.879408  12.490258    77   \n",
      "206100     410963  41.878526  12.485802   237   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "206095  (41.88009014041805, 12.486096836379929)  41.879124  12.486888   \n",
      "206096  (41.87912430378316, 12.486887731172198)  41.880828  12.487066   \n",
      "206097  (41.88082834115569, 12.487065727228456)  41.880639  12.486571   \n",
      "206098  (41.88063923977463, 12.486571140930687)  41.879408  12.490258   \n",
      "206099    (41.8794079255844, 12.49025794470199)  41.878526  12.485802   \n",
      "206100   (41.87852606148373, 12.48580200263465)  41.878526  12.485802   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "206095     0.125770             0.001248           216  \n",
      "206096     0.189845             0.001713           210  \n",
      "206097     0.046114             0.000530           173  \n",
      "206098     0.335197             0.003887           198  \n",
      "206099     0.382627             0.004542           141  \n",
      "206100     0.000000             0.000000           234  \n",
      "       tripIndex        lat        lon  time  \\\n",
      "68722     411401  41.756504  12.357439     0   \n",
      "68723     411401  41.757775  12.355834     0   \n",
      "68724     411401  41.757190  12.355683   137   \n",
      "68725     411401  41.758061  12.354592   137   \n",
      "68726     411401  41.756311  12.352251   258   \n",
      "68727     411401  41.756745  12.352885   258   \n",
      "68728     411401  41.756395  12.354594   385   \n",
      "68729     411401  41.754540  12.355455   510   \n",
      "68730     411401  41.754457  12.354538   510   \n",
      "68731     411401  41.755731  12.354716   636   \n",
      "68732     411401  41.758961  12.355788   636   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "68722   (41.75650409127572, 12.357438788402373)  41.757775  12.355834   \n",
      "68723   (41.75777548454295, 12.355834313597178)  41.757190  12.355683   \n",
      "68724   (41.75719008955226, 12.355683332968583)  41.758061  12.354592   \n",
      "68725   (41.75806132919189, 12.354592439063111)  41.756311  12.352251   \n",
      "68726  (41.756311036973045, 12.352250657614404)  41.756745  12.352885   \n",
      "68727   (41.75674494578542, 12.352884626746148)  41.756395  12.354594   \n",
      "68728   (41.75639538690953, 12.354594160492404)  41.754540  12.355455   \n",
      "68729  (41.754539638832654, 12.355454803606278)  41.754457  12.354538   \n",
      "68730   (41.75445679466218, 12.354537840231492)  41.755731  12.354716   \n",
      "68731   (41.75573071740843, 12.354715841067256)  41.758961  12.355788   \n",
      "68732     (41.7589605256176, 12.35578828511989)  41.758961  12.355788   \n",
      "\n",
      "       distance_km  distance_in_minutes  number_trees  \n",
      "68722     0.194283             0.002047           329  \n",
      "68723     0.066220             0.000605           356  \n",
      "68724     0.132645             0.001396           353  \n",
      "68725     0.275175             0.002924           283  \n",
      "68726     0.071432             0.000768           196  \n",
      "68727     0.147381             0.001745           209  \n",
      "68728     0.218190             0.002046           300  \n",
      "68729     0.076816             0.000921           284  \n",
      "68730     0.142265             0.001286           288  \n",
      "68731     0.369651             0.003403           315  \n",
      "68732     0.000000             0.000000           318  \n",
      "       tripIndex        lat        lon  time  \\\n",
      "32129     413081  41.816664  12.434742     0   \n",
      "32130     413081  41.816296  12.434381     0   \n",
      "32131     413081  41.815336  12.435295     0   \n",
      "32132     413081  41.816061  12.433995     0   \n",
      "32133     413081  41.815524  12.432133     0   \n",
      "...          ...        ...        ...   ...   \n",
      "32202     413081  41.816149  12.433154   267   \n",
      "32203     413081  41.816056  12.434261   267   \n",
      "32204     413081  41.817464  12.433237   267   \n",
      "32205     413081  41.815860  12.433822   267   \n",
      "32206     413081  41.817459  12.433723   267   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "32129   (41.81666395167764, 12.434741881522624)  41.816296  12.434381   \n",
      "32130  (41.816296326772274, 12.434381075616818)  41.815336  12.435295   \n",
      "32131    (41.81533557552807, 12.43529502492653)  41.816061  12.433995   \n",
      "32132   (41.81606146589648, 12.433995202136556)  41.815524  12.432133   \n",
      "32133    (41.81552436263362, 12.43213327876862)  41.815604  12.433319   \n",
      "...                                         ...        ...        ...   \n",
      "32202  (41.816149165905486, 12.433153570704878)  41.816056  12.434261   \n",
      "32203  (41.816056045389736, 12.434261085818788)  41.817464  12.433237   \n",
      "32204   (41.81746394809291, 12.433237393983015)  41.815860  12.433822   \n",
      "32205   (41.81586029321063, 12.433822119747305)  41.817459  12.433723   \n",
      "32206   (41.81745850841615, 12.433723440450516)  41.817459  12.433723   \n",
      "\n",
      "       distance_km  distance_in_minutes  number_trees  \n",
      "32129     0.050655             0.000515           160  \n",
      "32130     0.130973             0.001326           166  \n",
      "32131     0.134776             0.001489           195  \n",
      "32132     0.165809             0.001938           169  \n",
      "32133     0.098941             0.001189           194  \n",
      "...            ...                  ...           ...  \n",
      "32202     0.092602             0.001111           165  \n",
      "32203     0.178011             0.001741           175  \n",
      "32204     0.184625             0.001707           111  \n",
      "32205     0.177703             0.001601           174  \n",
      "32206     0.000000             0.000000           115  \n",
      "\n",
      "[78 rows x 10 columns]\n",
      "       tripIndex        lat        lon  time  \\\n",
      "85763     415085  41.886153  12.534704     0   \n",
      "85764     415085  41.885660  12.534449    40   \n",
      "85765     415085  41.887208  12.535329    40   \n",
      "\n",
      "                                       lat-lon   lat_next   lon_next  \\\n",
      "85763   (41.8861529811423, 12.534703793317552)  41.885660  12.534449   \n",
      "85764  (41.88566023311351, 12.534448731825144)  41.887208  12.535329   \n",
      "85765   (41.88720762694973, 12.53532918993612)  41.887208  12.535329   \n",
      "\n",
      "       distance_km  distance_in_minutes  number_trees  \n",
      "85763     0.058682             0.000555           248  \n",
      "85764     0.186761             0.001780           268  \n",
      "85765     0.000000             0.000000           207  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "113835     419846  41.865358  12.464751     0   \n",
      "113836     419846  41.867048  12.467008    14   \n",
      "113837     419846  41.866512  12.464334    14   \n",
      "113838     419846  41.864976  12.468227    14   \n",
      "113839     419846  41.866023  12.465276    15   \n",
      "\n",
      "                                         lat-lon   lat_next   lon_next  \\\n",
      "113835    (41.8653581168156, 12.464750994079802)  41.867048  12.467008   \n",
      "113836   (41.86704847828754, 12.467008337121356)  41.866512  12.464334   \n",
      "113837  (41.866512260933455, 12.464333778990612)  41.864976  12.468227   \n",
      "113838   (41.86497647214534, 12.468226999077224)  41.866023  12.465276   \n",
      "113839  (41.866022506920736, 12.465275993846012)  41.866023  12.465276   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "113835     0.265281             0.002820            87  \n",
      "113836     0.229899             0.002728            82  \n",
      "113837     0.365483             0.004185           101  \n",
      "113838     0.271159             0.003131            96  \n",
      "113839     0.000000             0.000000            81  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "146344     421046  41.883555  12.517266     0   \n",
      "146345     421046  41.882456  12.515140     0   \n",
      "146346     421046  41.882178  12.516094    58   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "146344  (41.883554646932566, 12.51726608759248)  41.882456  12.515140   \n",
      "146345    (41.8824561322808, 12.51514019529114)  41.882178  12.516094   \n",
      "146346  (41.88217777743533, 12.516093515636143)  41.882178  12.516094   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "146344     0.214530             0.002393           199  \n",
      "146345     0.084954             0.000993           137  \n",
      "146346     0.000000             0.000000           162  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "185056     422237  41.899067  12.454615     0   \n",
      "185057     422237  41.897887  12.452870     0   \n",
      "185058     422237  41.899058  12.454053    35   \n",
      "185059     422237  41.896783  12.452134    35   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "185056  (41.89906719421106, 12.454615487758913)  41.897887  12.452870   \n",
      "185057   (41.89788680333272, 12.45287015203646)  41.899058  12.454053   \n",
      "185058  (41.89905791572836, 12.454053045568529)  41.896783  12.452134   \n",
      "185059    (41.89678282665848, 12.4521336096566)  41.896783  12.452134   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "185056     0.195360             0.002107            31  \n",
      "185057     0.162958             0.001665           107  \n",
      "185058     0.298707             0.002977            43  \n",
      "185059     0.000000             0.000000           146  \n",
      "       tripIndex        lat        lon  time  \\\n",
      "88276     423951  41.920499  12.519804     0   \n",
      "88277     423951  41.921281  12.519062     1   \n",
      "88278     423951  41.918794  12.517887     1   \n",
      "88279     423951  41.919413  12.518292    74   \n",
      "88280     423951  41.918312  12.517993    74   \n",
      "88281     423951  41.918019  12.515927   139   \n",
      "88282     423951  41.916785  12.518044   202   \n",
      "88283     423951  41.917322  12.516876   202   \n",
      "88284     423951  41.918924  12.516265   202   \n",
      "88285     423951  41.918929  12.516291   248   \n",
      "88286     423951  41.918237  12.518792   248   \n",
      "88287     423951  41.917448  12.518431   365   \n",
      "88288     423951  41.918972  12.517957   416   \n",
      "88289     423951  41.920235  12.516897   439   \n",
      "88290     423951  41.916535  12.516398   439   \n",
      "88291     423951  41.918579  12.520659   623   \n",
      "88292     423951  41.918049  12.518380   647   \n",
      "88293     423951  41.920699  12.517139   738   \n",
      "88294     423951  41.919187  12.519272   740   \n",
      "88295     423951  41.919664  12.518211   740   \n",
      "88296     423951  41.918936  12.517824   740   \n",
      "88297     423951  41.918741  12.517700   781   \n",
      "88298     423951  41.919267  12.518536   781   \n",
      "88299     423951  41.919718  12.518126   822   \n",
      "88300     423951  41.917693  12.517457   936   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "88276   (41.92049909049877, 12.519803552197365)  41.921281  12.519062   \n",
      "88277   (41.92128067851338, 12.519062042830257)  41.918794  12.517887   \n",
      "88278   (41.91879390616892, 12.517886919069372)  41.919413  12.518292   \n",
      "88279   (41.919413418474576, 12.51829205286128)  41.918312  12.517993   \n",
      "88280    (41.91831183449384, 12.51799306164532)  41.918019  12.515927   \n",
      "88281    (41.9180185702832, 12.515926715306692)  41.916785  12.518044   \n",
      "88282  (41.916785481084126, 12.518044197738378)  41.917322  12.516876   \n",
      "88283  (41.917321745289335, 12.516876294890348)  41.918924  12.516265   \n",
      "88284   (41.91892413330729, 12.516265046128376)  41.918929  12.516291   \n",
      "88285   (41.91892934570437, 12.516291355141677)  41.918237  12.518792   \n",
      "88286    (41.91823729488518, 12.51879154702222)  41.917448  12.518431   \n",
      "88287   (41.91744753140663, 12.518431322740197)  41.918972  12.517957   \n",
      "88288   (41.91897156477329, 12.517957463039982)  41.920235  12.516897   \n",
      "88289   (41.92023458402342, 12.516896756556251)  41.916535  12.516398   \n",
      "88290   (41.91653522638074, 12.516397887493332)  41.918579  12.520659   \n",
      "88291    (41.91857859352152, 12.52065903712536)  41.918049  12.518380   \n",
      "88292    (41.91804920018375, 12.51837968521436)  41.920699  12.517139   \n",
      "88293   (41.92069878540234, 12.517138702494773)  41.919187  12.519272   \n",
      "88294   (41.919187294887344, 12.51927213502568)  41.919664  12.518211   \n",
      "88295   (41.91966447425271, 12.518211144025734)  41.918936  12.517824   \n",
      "88296   (41.91893589576246, 12.517824382041267)  41.918741  12.517700   \n",
      "88297   (41.91874121853014, 12.517700104624014)  41.919267  12.518536   \n",
      "88298   (41.91926747229844, 12.518536158816874)  41.919718  12.518126   \n",
      "88299  (41.919717928350494, 12.518126495144276)  41.917693  12.517457   \n",
      "88300    (41.9176934168156, 12.517457294079804)  41.917693  12.517457   \n",
      "\n",
      "       distance_km  distance_in_minutes  number_trees  \n",
      "88276     0.106395             0.001077           112  \n",
      "88277     0.292907             0.002750           131  \n",
      "88278     0.076579             0.000740           186  \n",
      "88279     0.124843             0.001141           166  \n",
      "88280     0.174485             0.002087           177  \n",
      "88281     0.222745             0.002450           166  \n",
      "88282     0.113732             0.001285           163  \n",
      "88283     0.185062             0.001715           166  \n",
      "88284     0.002258             0.000027           178  \n",
      "88285     0.221192             0.002594           178  \n",
      "88286     0.092671             0.000868           149  \n",
      "88287     0.173781             0.001596           168  \n",
      "88288     0.165597             0.001649           175  \n",
      "88289     0.412973             0.003733           177  \n",
      "88290     0.420083             0.004726           161  \n",
      "88291     0.198019             0.002340            71  \n",
      "88292     0.311780             0.002926           162  \n",
      "88293     0.243939             0.002615           166  \n",
      "88294     0.102741             0.001163           136  \n",
      "88295     0.087053             0.000825           167  \n",
      "88296     0.023955             0.000231           179  \n",
      "88297     0.090702             0.000988           185  \n",
      "88298     0.060483             0.000609           157  \n",
      "88299     0.231617             0.002132           171  \n",
      "88300     0.000000             0.000000           176  \n",
      "       tripIndex        lat        lon  time  \\\n",
      "76595     426172  41.900256  12.485556     0   \n",
      "76596     426172  41.898820  12.484228    80   \n",
      "76597     426172  41.897474  12.483068    80   \n",
      "76598     426172  41.898690  12.484215    80   \n",
      "76599     426172  41.899215  12.486649    80   \n",
      "76600     426172  41.900327  12.484363    80   \n",
      "76601     426172  41.900092  12.482332    80   \n",
      "76602     426172  41.899376  12.483734    80   \n",
      "76603     426172  41.897493  12.485550    80   \n",
      "76604     426172  41.898910  12.483568    80   \n",
      "76605     426172  41.896686  12.484390    80   \n",
      "76606     426172  41.897396  12.484906   168   \n",
      "76607     426172  41.897781  12.483706   212   \n",
      "76608     426172  41.898575  12.484526   212   \n",
      "76609     426172  41.897236  12.484745   212   \n",
      "76610     426172  41.898428  12.485714   212   \n",
      "76611     426172  41.897070  12.484767   212   \n",
      "76612     426172  41.899154  12.485165   212   \n",
      "76613     426172  41.899392  12.484315   212   \n",
      "76614     426172  41.898241  12.485812   212   \n",
      "76615     426172  41.898597  12.485648   212   \n",
      "76616     426172  41.897672  12.484916   212   \n",
      "76617     426172  41.896491  12.483793   293   \n",
      "76618     426172  41.896230  12.484083   346   \n",
      "76619     426172  41.896717  12.484057   346   \n",
      "76620     426172  41.897627  12.485104   346   \n",
      "76621     426172  41.898636  12.484865   346   \n",
      "76622     426172  41.896661  12.485157   346   \n",
      "76623     426172  41.897020  12.484811   346   \n",
      "76624     426172  41.899290  12.483416   346   \n",
      "76625     426172  41.898566  12.483631   346   \n",
      "76626     426172  41.897018  12.483906   346   \n",
      "76627     426172  41.897887  12.485356   346   \n",
      "76628     426172  41.896522  12.484085   427   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "76595   (41.90025644171072, 12.485556466562915)  41.898820  12.484228   \n",
      "76596   (41.89881987021569, 12.484227603240855)  41.897474  12.483068   \n",
      "76597  (41.897473947820295, 12.483068304265846)  41.898690  12.484215   \n",
      "76598   (41.89869000198525, 12.484215334766438)  41.899215  12.486649   \n",
      "76599   (41.89921534898525, 12.486648767816806)  41.900327  12.484363   \n",
      "76600    (41.90032674623363, 12.48436268776138)  41.900092  12.482332   \n",
      "76601   (41.90009191732612, 12.482332482831003)  41.899376  12.483734   \n",
      "76602   (41.89937555845343, 12.483733527247844)  41.897493  12.485550   \n",
      "76603  (41.897493010854106, 12.485549845597228)  41.898910  12.483568   \n",
      "76604   (41.89890980087742, 12.483568486249794)  41.896686  12.484390   \n",
      "76605   (41.89668556068239, 12.484390369316916)  41.897396  12.484906   \n",
      "76606    (41.89739614688438, 12.48490617083744)  41.897781  12.483706   \n",
      "76607     (41.8977805322856, 12.48370610586272)  41.898575  12.484526   \n",
      "76608   (41.89857453016664, 12.484525960191434)  41.897236  12.484745   \n",
      "76609   (41.89723604367992, 12.484744764889452)  41.898428  12.485714   \n",
      "76610    (41.898428103985125, 12.4857142026681)  41.897070  12.484767   \n",
      "76611   (41.89707039805397, 12.484766864284726)  41.899154  12.485165   \n",
      "76612    (41.89915416751439, 12.48516472495036)  41.899392  12.484315   \n",
      "76613   (41.89939169671255, 12.484314500002355)  41.898241  12.485812   \n",
      "76614    (41.89824100221485, 12.48581176315858)  41.898597  12.485648   \n",
      "76615     (41.898597173729, 12.485647556994818)  41.897672  12.484916   \n",
      "76616    (41.89767240276801, 12.48491613509253)  41.896491  12.483793   \n",
      "76617   (41.89649127753086, 12.483792652627336)  41.896230  12.484083   \n",
      "76618    (41.89622984518108, 12.48408322296399)  41.896717  12.484057   \n",
      "76619    (41.8967166897771, 12.484056847380748)  41.897627  12.485104   \n",
      "76620    (41.89762743545484, 12.48510365205814)  41.898636  12.484865   \n",
      "76621    (41.8986361140034, 12.484864979878518)  41.896661  12.485157   \n",
      "76622    (41.89666099300892, 12.48515742676154)  41.897020  12.484811   \n",
      "76623   (41.89701959830849, 12.484811444520354)  41.899290  12.483416   \n",
      "76624   (41.89929023749379, 12.483416139333311)  41.898566  12.483631   \n",
      "76625   (41.89856604933082, 12.483631161255754)  41.897018  12.483906   \n",
      "76626   (41.89701831113364, 12.483905812622814)  41.897887  12.485356   \n",
      "76627   (41.89788677730726, 12.485356359883916)  41.896522  12.484085   \n",
      "76628   (41.89652152526798, 12.484085024350826)  41.896522  12.484085   \n",
      "\n",
      "       distance_km  distance_in_minutes  number_trees  \n",
      "76595     0.193958             0.001957            48  \n",
      "76596     0.177772             0.001776            52  \n",
      "76597     0.165238             0.001672            55  \n",
      "76598     0.210192             0.002489            52  \n",
      "76599     0.226329             0.002542            78  \n",
      "76600     0.170474             0.002044            21  \n",
      "76601     0.140880             0.001574             6  \n",
      "76602     0.257757             0.002616            47  \n",
      "76603     0.227590             0.002436            72  \n",
      "76604     0.256291             0.002371            49  \n",
      "76605     0.089785             0.000878            66  \n",
      "76606     0.108352             0.001260            65  \n",
      "76607     0.111383             0.001141            57  \n",
      "76608     0.149772             0.001356            53  \n",
      "76609     0.154927             0.001536            68  \n",
      "76610     0.170063             0.001656            59  \n",
      "76611     0.233790             0.002121            65  \n",
      "76612     0.075324             0.000883            57  \n",
      "76613     0.178248             0.001888            50  \n",
      "76614     0.041841             0.000392            66  \n",
      "76615     0.119308             0.001179            56  \n",
      "76616     0.160943             0.001630            60  \n",
      "76617     0.037744             0.000391            62  \n",
      "76618     0.054119             0.000488            66  \n",
      "76619     0.133338             0.001388            60  \n",
      "76620     0.113772             0.001037            62  \n",
      "76621     0.220717             0.001997            57  \n",
      "76622     0.049100             0.000498            75  \n",
      "76623     0.277512             0.002665            66  \n",
      "76624     0.082392             0.000755            45  \n",
      "76625     0.173414             0.001572            49  \n",
      "76626     0.154254             0.001691            60  \n",
      "76627     0.184730             0.001866            64  \n",
      "76628     0.000000             0.000000            66  \n",
      "       tripIndex        lat        lon  time  \\\n",
      "44371     426214  41.854888  12.562921     0   \n",
      "44372     426214  41.857671  12.563087    66   \n",
      "44373     426214  41.857258  12.562739   120   \n",
      "44374     426214  41.855115  12.561650   132   \n",
      "44375     426214  41.854405  12.563859   132   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "44371   (41.85488792142991, 12.562921159516266)  41.857671  12.563087   \n",
      "44372  (41.857670596202766, 12.563087372869225)  41.857258  12.562739   \n",
      "44373  (41.857257669863145, 12.562739256880844)  41.855115  12.561650   \n",
      "44374   (41.85511544567949, 12.561649550568804)  41.854405  12.563859   \n",
      "44375   (41.854405033567936, 12.56385861544412)  41.854405  12.563859   \n",
      "\n",
      "       distance_km  distance_in_minutes  number_trees  \n",
      "44371     0.309381             0.002788           123  \n",
      "44372     0.054213             0.000540           102  \n",
      "44373     0.254563             0.002403           111  \n",
      "44374     0.199689             0.002320           134  \n",
      "44375     0.000000             0.000000            91  \n",
      "      tripIndex        lat        lon  time  \\\n",
      "3112     427068  41.890369  12.574782     0   \n",
      "3113     427068  41.889356  12.576784     0   \n",
      "3114     427068  41.889173  12.574697    60   \n",
      "3115     427068  41.891333  12.576021   105   \n",
      "3116     427068  41.890666  12.575495   124   \n",
      "...         ...        ...        ...   ...   \n",
      "3170     427068  41.879067  12.576663  2938   \n",
      "3171     427068  41.882610  12.578078  3091   \n",
      "3172     427068  41.881980  12.576195  3091   \n",
      "3173     427068  41.882917  12.577426  3187   \n",
      "3174     427068  41.882122  12.577734  3187   \n",
      "\n",
      "                                       lat-lon   lat_next   lon_next  \\\n",
      "3112   (41.89036895984076, 12.574781609800883)  41.889356  12.576784   \n",
      "3113  (41.889356096103846, 12.576784474748344)  41.889173  12.574697   \n",
      "3114     (41.8891725621311, 12.57469739014974)  41.891333  12.576021   \n",
      "3115   (41.89133270533495, 12.576020836930198)  41.890666  12.575495   \n",
      "3116   (41.89066599484764, 12.575494624329686)  41.891588  12.574429   \n",
      "...                                        ...        ...        ...   \n",
      "3170    (41.87906707269556, 12.57666330460712)  41.882610  12.578078   \n",
      "3171    (41.88261020783747, 12.57807780843835)  41.881980  12.576195   \n",
      "3172    (41.8819795710201, 12.576194961481132)  41.882917  12.577426   \n",
      "3173   (41.88291684264231, 12.577426341107076)  41.882122  12.577734   \n",
      "3174     (41.882122330791, 12.577734230729224)  41.882122  12.577734   \n",
      "\n",
      "      distance_km  distance_in_minutes  number_trees  \n",
      "3112     0.200716             0.002244           196  \n",
      "3113     0.174411             0.002095           162  \n",
      "3114     0.263876             0.002533           156  \n",
      "3115     0.085971             0.000849           224  \n",
      "3116     0.135257             0.001409           202  \n",
      "...           ...                  ...           ...  \n",
      "3170     0.410681             0.003815           172  \n",
      "3171     0.171262             0.001986           220  \n",
      "3172     0.145891             0.001548           208  \n",
      "3173     0.091873             0.000852           224  \n",
      "3174     0.000000             0.000000           212  \n",
      "\n",
      "[63 rows x 10 columns]\n",
      "      tripIndex        lat        lon  time  \\\n",
      "1569     428097  41.880761  12.456200     0   \n",
      "1570     428097  41.883490  12.458699    20   \n",
      "1571     428097  41.883419  12.455374   148   \n",
      "1572     428097  41.884667  12.455692   152   \n",
      "\n",
      "                                       lat-lon   lat_next   lon_next  \\\n",
      "1569  (41.880760768352175, 12.456200026232718)  41.883490  12.458699   \n",
      "1570   (41.88348978650455, 12.458699203870172)  41.883419  12.455374   \n",
      "1571     (41.88341915354184, 12.4553735042671)  41.884667  12.455692   \n",
      "1572   (41.88466727973132, 12.455692051245734)  41.884667  12.455692   \n",
      "\n",
      "      distance_km  distance_in_minutes  number_trees  \n",
      "1569     0.367301             0.003700           199  \n",
      "1570     0.276150             0.003326           156  \n",
      "1571     0.141129             0.001288           153  \n",
      "1572     0.000000             0.000000           139  \n",
      "       tripIndex        lat        lon  time  \\\n",
      "52660     429289  41.882735  12.582471     0   \n",
      "52661     429289  41.882880  12.580354     0   \n",
      "52662     429289  41.880893  12.580949     0   \n",
      "52663     429289  41.882488  12.579721     0   \n",
      "52664     429289  41.878255  12.578122   152   \n",
      "52665     429289  41.879043  12.580132   152   \n",
      "52666     429289  41.879841  12.579518   152   \n",
      "52667     429289  41.878377  12.578562   172   \n",
      "52668     429289  41.880433  12.578415   291   \n",
      "52669     429289  41.878921  12.580419   291   \n",
      "52670     429289  41.878737  12.577914   292   \n",
      "52671     429289  41.880066  12.577375   305   \n",
      "52672     429289  41.878289  12.579531   429   \n",
      "52673     429289  41.878844  12.577232   429   \n",
      "52674     429289  41.881007  12.580219   560   \n",
      "52675     429289  41.879396  12.579797   560   \n",
      "52676     429289  41.879145  12.576755   560   \n",
      "52677     429289  41.880408  12.578356   701   \n",
      "52678     429289  41.881133  12.580099   701   \n",
      "52679     429289  41.878051  12.577816   701   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "52660   (41.88273499392908, 12.582471135666252)  41.882880  12.580354   \n",
      "52661   (41.882879589879614, 12.58035372245876)  41.880893  12.580949   \n",
      "52662    (41.88089339440772, 12.58094931657012)  41.882488  12.579721   \n",
      "52663   (41.88248769455439, 12.579720593861811)  41.878255  12.578122   \n",
      "52664   (41.87825524708383, 12.578121628037632)  41.879043  12.580132   \n",
      "52665  (41.879043189028295, 12.580132499144156)  41.879841  12.579518   \n",
      "52666   (41.87984087023682, 12.579517652846617)  41.878377  12.578562   \n",
      "52667  (41.878377251401176, 12.578561823630624)  41.880433  12.578415   \n",
      "52668    (41.88043284004178, 12.57841487849205)  41.878921  12.580419   \n",
      "52669    (41.87892078450502, 12.58041885733007)  41.878737  12.577914   \n",
      "52670    (41.87873666662005, 12.57791367812524)  41.880066  12.577375   \n",
      "52671   (41.88006589287145, 12.577374593212834)  41.878289  12.579531   \n",
      "52672   (41.87828919253047, 12.579531273703118)  41.878844  12.577232   \n",
      "52673   (41.87884357799856, 12.577231870835638)  41.881007  12.580219   \n",
      "52674    (41.8810067217933, 12.580218791981892)  41.879396  12.579797   \n",
      "52675    (41.87939633195787, 12.57979689527929)  41.879145  12.576755   \n",
      "52676  (41.879144608643664, 12.576755293002984)  41.880408  12.578356   \n",
      "52677    (41.88040767978344, 12.57835570241536)  41.881133  12.580099   \n",
      "52678   (41.88113348759264, 12.580099456271451)  41.878051  12.577816   \n",
      "52679    (41.87805144338232, 12.57781575398569)  41.878051  12.577816   \n",
      "\n",
      "       distance_km  distance_in_minutes  number_trees  \n",
      "52660     0.176483             0.002122           352  \n",
      "52661     0.226080             0.002074           264  \n",
      "52662     0.204351             0.002013           240  \n",
      "52663     0.488479             0.004524           260  \n",
      "52664     0.188470             0.002160           174  \n",
      "52665     0.102247             0.001007           294  \n",
      "52666     0.180894             0.001748           252  \n",
      "52667     0.228642             0.002061           180  \n",
      "52668     0.236381             0.002510           208  \n",
      "52669     0.208952             0.002512           310  \n",
      "52670     0.154271             0.001434           180  \n",
      "52671     0.266442             0.002794           202  \n",
      "52672     0.200556             0.002365           258  \n",
      "52673     0.345249             0.003688           164  \n",
      "52674     0.182264             0.001665           264  \n",
      "52675     0.254018             0.003052           280  \n",
      "52676     0.193207             0.002039           172  \n",
      "52677     0.165677             0.001889           204  \n",
      "52678     0.391307             0.003836           272  \n",
      "52679     0.000000             0.000000           174  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "147516     429944  41.936966  12.437689     0   \n",
      "147517     429944  41.937841  12.437588     0   \n",
      "147518     429944  41.938214  12.437976     0   \n",
      "147519     429944  41.938937  12.438869     0   \n",
      "147520     429944  41.939425  12.436485    78   \n",
      "147521     429944  41.938043  12.438999    78   \n",
      "147522     429944  41.939902  12.438372   205   \n",
      "147523     429944  41.937640  12.440261   205   \n",
      "147524     429944  41.939670  12.438868   205   \n",
      "147525     429944  41.940356  12.437675   221   \n",
      "147526     429944  41.938106  12.437570   221   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "147516  (41.93696631486612, 12.437689318062736)  41.937841  12.437588   \n",
      "147517  (41.93784136279992, 12.437587696884655)  41.938214  12.437976   \n",
      "147518  (41.93821351848948, 12.437976135742971)  41.938937  12.438869   \n",
      "147519    (41.93893666608778, 12.4388688743404)  41.939425  12.436485   \n",
      "147520   (41.9394248408843, 12.436484605986736)  41.938043  12.438999   \n",
      "147521   (41.93804327238927, 12.43899914316154)  41.939902  12.438372   \n",
      "147522  (41.93990155296283, 12.438372106737592)  41.937640  12.440261   \n",
      "147523  (41.93763987511869, 12.440261454075484)  41.939670  12.438868   \n",
      "147524   (41.9396697091191, 12.438867810061394)  41.940356  12.437675   \n",
      "147525  (41.94035551987162, 12.437675238366989)  41.938106  12.437570   \n",
      "147526  (41.93810601206508, 12.437569801678146)  41.938106  12.437570   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "147516     0.097558             0.000881           110  \n",
      "147517     0.052406             0.000538           121  \n",
      "147518     0.109237             0.001149           138  \n",
      "147519     0.205026             0.002434           176  \n",
      "147520     0.258908             0.002869           130  \n",
      "147521     0.212853             0.001961           167  \n",
      "147522     0.296067             0.002947           173  \n",
      "147523     0.253355             0.002462           180  \n",
      "147524     0.124834             0.001376           179  \n",
      "147525     0.250011             0.002252           149  \n",
      "147526     0.000000             0.000000           123  \n",
      "      tripIndex        lat        lon  time  \\\n",
      "7644     432898  41.812213  12.431022     0   \n",
      "7645     432898  41.809989  12.430311     1   \n",
      "7646     432898  41.810233  12.432088    29   \n",
      "7647     432898  41.812227  12.434298    47   \n",
      "7648     432898  41.812654  12.433641   100   \n",
      "...         ...        ...        ...   ...   \n",
      "7714     432898  41.816812  12.432362  2625   \n",
      "7715     432898  41.815057  12.433340  2743   \n",
      "7716     432898  41.814988  12.431898  2860   \n",
      "7717     432898  41.811984  12.429861  2911   \n",
      "7718     432898  41.810579  12.427532  2924   \n",
      "\n",
      "                                       lat-lon   lat_next   lon_next  \\\n",
      "7644  (41.812213353740304, 12.431021729271183)  41.809989  12.430311   \n",
      "7645     (41.8099893815889, 12.43031109701641)  41.810233  12.432088   \n",
      "7646   (41.81023312537354, 12.432087574887538)  41.812227  12.434298   \n",
      "7647   (41.81222671865168, 12.434297592800943)  41.812654  12.433641   \n",
      "7648   (41.81265394527061, 12.433641255143334)  41.816410  12.434495   \n",
      "...                                        ...        ...        ...   \n",
      "7714      (41.8168116425267, 12.4323623117902)  41.815057  12.433340   \n",
      "7715  (41.815056773629735, 12.433340360008518)  41.814988  12.431898   \n",
      "7716   (41.81498806726793, 12.431898065623924)  41.811984  12.429861   \n",
      "7717  (41.811984382785255, 12.429861269820677)  41.810579  12.427532   \n",
      "7718   (41.81057869605031, 12.427532476708912)  41.810579  12.427532   \n",
      "\n",
      "      distance_km  distance_in_minutes  number_trees  \n",
      "7644     0.253976             0.002335           224  \n",
      "7645     0.150081             0.001793           111  \n",
      "7646     0.287671             0.002976           144  \n",
      "7647     0.072291             0.000783           247  \n",
      "7648     0.423207             0.003852           242  \n",
      "...           ...                  ...           ...  \n",
      "7714     0.211175             0.002009           138  \n",
      "7715     0.120083             0.001444           220  \n",
      "7716     0.374091             0.003629           208  \n",
      "7717     0.248642             0.002720           163  \n",
      "7718     0.000000             0.000000            96  \n",
      "\n",
      "[75 rows x 10 columns]\n",
      "        tripIndex        lat        lon  time  \\\n",
      "179110     433239  41.932075  12.523456     0   \n",
      "179111     433239  41.930072  12.523483     0   \n",
      "179112     433239  41.931952  12.523140     0   \n",
      "179113     433239  41.930780  12.521551     0   \n",
      "179114     433239  41.932152  12.523742     1   \n",
      "...           ...        ...        ...   ...   \n",
      "179193     433239  41.927494  12.515837  1444   \n",
      "179194     433239  41.927646  12.516902  1444   \n",
      "179195     433239  41.928239  12.516250  1444   \n",
      "179196     433239  41.927970  12.516828  1444   \n",
      "179197     433239  41.927072  12.516624  1444   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "179110  (41.93207493320846, 12.523455868943348)  41.930072  12.523483   \n",
      "179111  (41.930072376145816, 12.52348268209382)  41.931952  12.523140   \n",
      "179112   (41.93195248614459, 12.52314034465228)  41.930780  12.521551   \n",
      "179113   (41.93077951302703, 12.52155097936973)  41.932152  12.523742   \n",
      "179114   (41.93215225810327, 12.52374201154806)  41.931754  12.521974   \n",
      "...                                         ...        ...        ...   \n",
      "179193  (41.927493865150815, 12.51583736239521)  41.927646  12.516902   \n",
      "179194  (41.92764642493502, 12.516901958254463)  41.928239  12.516250   \n",
      "179195  (41.928239111566775, 12.51624966948802)  41.927970  12.516828   \n",
      "179196   (41.9279699705091, 12.516828215568724)  41.927072  12.516624   \n",
      "179197  (41.92707159212796, 12.516623801530269)  41.927072  12.516624   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "179110     0.222439             0.002003           103  \n",
      "179111     0.210749             0.001911            46  \n",
      "179112     0.185340             0.001975           109  \n",
      "179113     0.237216             0.002586            95  \n",
      "179114     0.153134             0.001812           103  \n",
      "...             ...                  ...           ...  \n",
      "179193     0.089914             0.001075            60  \n",
      "179194     0.085211             0.000881            67  \n",
      "179195     0.056537             0.000638            55  \n",
      "179196     0.101215             0.000921            62  \n",
      "179197     0.000000             0.000000            72  \n",
      "\n",
      "[88 rows x 10 columns]\n",
      "        tripIndex        lat        lon  time  \\\n",
      "242012     435429  41.885425  12.516284     0   \n",
      "242013     435429  41.885067  12.516170    13   \n",
      "242014     435429  41.884102  12.514241    98   \n",
      "242015     435429  41.886530  12.514722   108   \n",
      "242016     435429  41.886309  12.516622   120   \n",
      "242017     435429  41.887105  12.517258   129   \n",
      "242018     435429  41.886788  12.515043   133   \n",
      "242019     435429  41.886720  12.519546   245   \n",
      "242020     435429  41.887171  12.517348   274   \n",
      "242021     435429  41.887497  12.517047   274   \n",
      "242022     435429  41.886182  12.516288   426   \n",
      "\n",
      "                                         lat-lon   lat_next   lon_next  \\\n",
      "242012   (41.88542500536145, 12.516283643766798)  41.885067  12.516170   \n",
      "242013  (41.885067251951504, 12.516170023970073)  41.884102  12.514241   \n",
      "242014   (41.88410199358449, 12.514240714939868)  41.886530  12.514722   \n",
      "242015    (41.88653015317363, 12.51472213619336)  41.886309  12.516622   \n",
      "242016    (41.88630870831568, 12.51662166567045)  41.887105  12.517258   \n",
      "242017   (41.88710520481581, 12.517257573449331)  41.886788  12.515043   \n",
      "242018   (41.88678829887146, 12.515043299384592)  41.886720  12.519546   \n",
      "242019   (41.88672016135898, 12.519545982911364)  41.887171  12.517348   \n",
      "242020   (41.88717138205106, 12.517347818387478)  41.887497  12.517047   \n",
      "242021  (41.887497152623446, 12.517046503128874)  41.886182  12.516288   \n",
      "242022    (41.88618155244529, 12.51628750479353)  41.886182  12.516288   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "242012     0.040840             0.000375           166  \n",
      "242013     0.192710             0.002157           168  \n",
      "242014     0.272642             0.002475           156  \n",
      "242015     0.159564             0.001912           233  \n",
      "242016     0.103015             0.001019           188  \n",
      "242017     0.187119             0.002237           145  \n",
      "242018     0.373788             0.004503           228  \n",
      "242019     0.189200             0.002244           163  \n",
      "242020     0.043985             0.000444           144  \n",
      "242021     0.159125             0.001519           170  \n",
      "242022     0.000000             0.000000           186  \n",
      "       tripIndex        lat        lon  time  \\\n",
      "89726     438024  41.900298  12.497503     0   \n",
      "89727     438024  41.900396  12.497183    45   \n",
      "89728     438024  41.901621  12.498443    45   \n",
      "\n",
      "                                       lat-lon   lat_next   lon_next  \\\n",
      "89726   (41.90029826622487, 12.49750289206967)  41.900396  12.497183   \n",
      "89727  (41.90039577736171, 12.497182697892796)  41.901621  12.498443   \n",
      "89728  (41.90162141153411, 12.498443351695968)  41.901621  12.498443   \n",
      "\n",
      "       distance_km  distance_in_minutes  number_trees  \n",
      "89726     0.028692             0.000335            52  \n",
      "89727     0.171683             0.001758            46  \n",
      "89728     0.000000             0.000000            98  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "168272     439316  41.873078  12.512378     0   \n",
      "168273     439316  41.873967  12.514201     0   \n",
      "168274     439316  41.874396  12.511942    79   \n",
      "168275     439316  41.874768  12.512223    79   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "168272  (41.87307808495154, 12.512377940581288)  41.873967  12.514201   \n",
      "168273  (41.87396720644199, 12.514200950466522)  41.874396  12.511942   \n",
      "168274  (41.87439641611346, 12.511942030853898)  41.874768  12.512223   \n",
      "168275  (41.87476782002603, 12.512222892773858)  41.874768  12.512223   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "168272     0.180708             0.002028           116  \n",
      "168273     0.193486             0.002299           121  \n",
      "168274     0.047385             0.000466           114  \n",
      "168275     0.000000             0.000000           121  \n",
      "       tripIndex        lat        lon  time  \\\n",
      "29475     440610  41.851669  12.452143     0   \n",
      "29476     440610  41.853644  12.452771     0   \n",
      "29477     440610  41.854043  12.451293   122   \n",
      "29478     440610  41.851705  12.453723   122   \n",
      "\n",
      "                                       lat-lon   lat_next   lon_next  \\\n",
      "29475  (41.85166900213549, 12.452143233790094)  41.853644  12.452771   \n",
      "29476  (41.85364434574296, 12.452771061801226)  41.854043  12.451293   \n",
      "29477  (41.85404282196277, 12.451292637157666)  41.851705  12.453723   \n",
      "29478   (41.85170541264862, 12.45372343167482)  41.851705  12.453723   \n",
      "\n",
      "       distance_km  distance_in_minutes  number_trees  \n",
      "29475     0.225512             0.002073           189  \n",
      "29476     0.130503             0.001531           168  \n",
      "29477     0.328857             0.003372           179  \n",
      "29478     0.000000             0.000000           167  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "185087     442900  41.875825  12.506251     0   \n",
      "185088     442900  41.876626  12.503295     0   \n",
      "185089     442900  41.876367  12.503482   121   \n",
      "185090     442900  41.877059  12.503545   121   \n",
      "185091     442900  41.874759  12.502984   245   \n",
      "185092     442900  41.874983  12.505813   366   \n",
      "185093     442900  41.875298  12.504617   366   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "185087    (41.87582523373565, 12.5062512196963)  41.876626  12.503295   \n",
      "185088  (41.87662565434177, 12.503294744544032)  41.876367  12.503482   \n",
      "185089   (41.87636707083752, 12.50348213061348)  41.877059  12.503545   \n",
      "185090  (41.87705941327378, 12.503545414493209)  41.874759  12.502984   \n",
      "185091  (41.87475868168544, 12.502983514648468)  41.874983  12.505813   \n",
      "185092  (41.87498313762254, 12.505812748585637)  41.875298  12.504617   \n",
      "185093  (41.87529838193106, 12.504616648688623)  41.875298  12.504617   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "185087     0.261027             0.003063           135  \n",
      "185088     0.032663             0.000319           258  \n",
      "185089     0.077078             0.000695           261  \n",
      "185090     0.259766             0.002368           245  \n",
      "185091     0.236182             0.002838           252  \n",
      "185092     0.105284             0.001237           167  \n",
      "185093     0.000000             0.000000           201  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "126380     445500  41.880342  12.507359     0   \n",
      "126381     445500  41.880381  12.508451     1   \n",
      "126382     445500  41.880322  12.509994   112   \n",
      "126383     445500  41.880437  12.509192   128   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "126380  (41.88034177326748, 12.507359031442569)  41.880381  12.508451   \n",
      "126381  (41.88038074674005, 12.508451227478652)  41.880322  12.509994   \n",
      "126382    (41.8803215870163, 12.50999403370614)  41.880437  12.509192   \n",
      "126383   (41.88043745921404, 12.50919154244568)  41.880437  12.509192   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "126380     0.090762             0.001093           198  \n",
      "126381     0.128230             0.001544           140  \n",
      "126382     0.067843             0.000811           115  \n",
      "126383     0.000000             0.000000           117  \n",
      "       tripIndex        lat        lon  time  \\\n",
      "10793     445523  41.860779  12.491565     0   \n",
      "10794     445523  41.861703  12.489293     0   \n",
      "10795     445523  41.859752  12.489645   120   \n",
      "10796     445523  41.859355  12.489698   120   \n",
      "\n",
      "                                       lat-lon   lat_next   lon_next  \\\n",
      "10793  (41.86077928781625, 12.491564762788984)  41.861703  12.489293   \n",
      "10794   (41.86170307099685, 12.48929333709844)  41.859752  12.489645   \n",
      "10795   (41.85975217352269, 12.48964547083465)  41.859355  12.489698   \n",
      "10796  (41.85935451267823, 12.489697690854678)  41.859355  12.489698   \n",
      "\n",
      "       distance_km  distance_in_minutes  number_trees  \n",
      "10793     0.214702             0.002452           150  \n",
      "10794     0.218651             0.001982           135  \n",
      "10795     0.044381             0.000401           141  \n",
      "10796     0.000000             0.000000           138  \n",
      "       tripIndex        lat        lon  time  \\\n",
      "48494     446619  41.933553  12.420162     0   \n",
      "48495     446619  41.937478  12.419573     0   \n",
      "48496     446619  41.935648  12.419158   142   \n",
      "48497     446619  41.935357  12.419328   142   \n",
      "\n",
      "                                        lat-lon   lat_next   lon_next  \\\n",
      "48494   (41.93355300100883, 12.420162065611546)  41.937478  12.419573   \n",
      "48495   (41.93747808583427, 12.419573417815688)  41.935648  12.419158   \n",
      "48496  (41.935648311370656, 12.419158225226214)  41.935357  12.419328   \n",
      "48497   (41.935357334239725, 12.41932830159639)  41.935357  12.419328   \n",
      "\n",
      "       distance_km  distance_in_minutes  number_trees  \n",
      "48494     0.438692             0.003969           150  \n",
      "48495     0.206133             0.001876           147  \n",
      "48496     0.035263             0.000337           134  \n",
      "48497     0.000000             0.000000           142  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "224370     448446  41.926634  12.464019     0   \n",
      "224371     448446  41.927151  12.461474     0   \n",
      "224372     448446  41.925770  12.463989     0   \n",
      "224373     448446  41.927528  12.463498     0   \n",
      "224374     448446  41.925800  12.465623   524   \n",
      "224375     448446  41.927830  12.464230   524   \n",
      "224376     448446  41.928544  12.463082   524   \n",
      "224377     448446  41.926295  12.462976   524   \n",
      "224378     448446  41.926360  12.461876   524   \n",
      "224379     448446  41.926201  12.463402   524   \n",
      "224380     448446  41.926861  12.463341   525   \n",
      "224381     448446  41.925961  12.463235   525   \n",
      "\n",
      "                                         lat-lon   lat_next   lon_next  \\\n",
      "224370  (41.926633966087785, 12.464018974340398)  41.927151  12.461474   \n",
      "224371    (41.9271514408843, 12.461474305986734)  41.925770  12.463989   \n",
      "224372    (41.92576987238927, 12.46398884316154)  41.927528  12.463498   \n",
      "224373   (41.92752785296283, 12.463498106737593)  41.925800  12.465623   \n",
      "224374  (41.925799975118686, 12.465623154075486)  41.927830  12.464230   \n",
      "224375    (41.9278298091191, 12.464229510061395)  41.928544  12.463082   \n",
      "224376  (41.928544219871625, 12.463081538366987)  41.926295  12.462976   \n",
      "224377   (41.92629471206508, 12.462976101678146)  41.926360  12.461876   \n",
      "224378   (41.926360091152034, 12.46187639585183)  41.926201  12.463402   \n",
      "224379    (41.92620127496784, 12.46340173318994)  41.926861  12.463341   \n",
      "224380  (41.926860626603016, 12.463340794857706)  41.925961  12.463235   \n",
      "224381   (41.92596085847295, 12.463234595807403)  41.925961  12.463235   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "224370     0.218755             0.002597           239  \n",
      "224371     0.258940             0.002869           240  \n",
      "224372     0.199460             0.001825           235  \n",
      "224373     0.260580             0.002739           264  \n",
      "224374     0.253365             0.002462           299  \n",
      "224375     0.123947             0.001352           262  \n",
      "224376     0.250010             0.002252           268  \n",
      "224377     0.091505             0.001102           254  \n",
      "224378     0.127745             0.001534           253  \n",
      "224379     0.073410             0.000662           247  \n",
      "224380     0.100326             0.000906           260  \n",
      "224381     0.000000             0.000000           263  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "218626     451110  41.863320  12.443443     0   \n",
      "218627     451110  41.864039  12.444215     0   \n",
      "218628     451110  41.862196  12.442752     0   \n",
      "218629     451110  41.862173  12.441203     0   \n",
      "218630     451110  41.863748  12.443590     0   \n",
      "...           ...        ...        ...   ...   \n",
      "218736     451110  41.864084  12.443034  1199   \n",
      "218737     451110  41.864668  12.444399  1199   \n",
      "218738     451110  41.863768  12.443495  1199   \n",
      "218739     451110  41.862950  12.442662  1199   \n",
      "218740     451110  41.863970  12.444487  1199   \n",
      "\n",
      "                                         lat-lon   lat_next   lon_next  \\\n",
      "218626   (41.86332016406816, 12.443443092408144)  41.864039  12.444215   \n",
      "218627   (41.86403942644436, 12.444215105641431)  41.862196  12.442752   \n",
      "218628  (41.862196156027046, 12.442752028645872)  41.862173  12.441203   \n",
      "218629    (41.8621730431021, 12.441202685579691)  41.863748  12.443590   \n",
      "218630   (41.86374843868504, 12.443590454680194)  41.863124  12.443374   \n",
      "...                                          ...        ...        ...   \n",
      "218736  (41.864084371646655, 12.443034438250898)  41.864668  12.444399   \n",
      "218737    (41.8646679931199, 12.444399217693157)  41.863768  12.443495   \n",
      "218738    (41.86376819890339, 12.44349548880334)  41.862950  12.442662   \n",
      "218739   (41.86295026056234, 12.442662298192015)  41.863970  12.444487   \n",
      "218740    (41.86397049213223, 12.44448675879981)  41.863970  12.444487   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "218626     0.102425             0.001055           142  \n",
      "218627     0.238059             0.002353           135  \n",
      "218628     0.128666             0.001550           140  \n",
      "218629     0.264428             0.002861           152  \n",
      "218630     0.071626             0.000661           141  \n",
      "...             ...                  ...           ...  \n",
      "218736     0.130544             0.001484           148  \n",
      "218737     0.124973             0.001275           151  \n",
      "218738     0.114189             0.001168           144  \n",
      "218739     0.189175             0.002090           140  \n",
      "218740     0.000000             0.000000           136  \n",
      "\n",
      "[115 rows x 10 columns]\n",
      "      tripIndex        lat        lon  time  \\\n",
      "9276     452359  41.781111  12.440847     0   \n",
      "9277     452359  41.783527  12.443301     1   \n",
      "9278     452359  41.781603  12.441712    49   \n",
      "9279     452359  41.780502  12.442167    73   \n",
      "9280     452359  41.781023  12.440501    73   \n",
      "9281     452359  41.780787  12.440331   106   \n",
      "9282     452359  41.781058  12.442379   173   \n",
      "9283     452359  41.779616  12.440696   173   \n",
      "9284     452359  41.780861  12.438904   173   \n",
      "9285     452359  41.781650  12.440356   173   \n",
      "9286     452359  41.782551  12.440214   263   \n",
      "\n",
      "                                       lat-lon   lat_next   lon_next  \\\n",
      "9276   (41.78111050702691, 12.440847103571503)  41.783527  12.443301   \n",
      "9277     (41.78352678415684, 12.4433011097967)  41.781603  12.441712   \n",
      "9278   (41.78160264828264, 12.441711961722774)  41.780502  12.442167   \n",
      "9279   (41.78050235007784, 12.442166895938731)  41.781023  12.440501   \n",
      "9280     (41.7810234432945, 12.44050058832971)  41.780787  12.440331   \n",
      "9281     (41.78078694345158, 12.4403306318483)  41.781058  12.442379   \n",
      "9282    (41.78105823682785, 12.44237859799148)  41.779616  12.440696   \n",
      "9283  (41.779616104070485, 12.440695712114804)  41.780861  12.438904   \n",
      "9284   (41.78086120655689, 12.438904235778804)  41.781650  12.440356   \n",
      "9285  (41.781649506651846, 12.440356370595564)  41.782551  12.440214   \n",
      "9286   (41.78255094826171, 12.440214079705983)  41.782551  12.440214   \n",
      "\n",
      "      distance_km  distance_in_minutes  number_trees  \n",
      "9276     0.337111             0.003444           164  \n",
      "9277     0.251248             0.002496           162  \n",
      "9278     0.127928             0.001191           180  \n",
      "9279     0.150132             0.001746           200  \n",
      "9280     0.029827             0.000291           165  \n",
      "9281     0.172902             0.002066           171  \n",
      "9282     0.212674             0.002216           188  \n",
      "9283     0.203240             0.002182           195  \n",
      "9284     0.149130             0.001652           172  \n",
      "9285     0.100819             0.000913           149  \n",
      "9286     0.000000             0.000000           143  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "208491     452822  41.887221  12.541402     0   \n",
      "208492     452822  41.888845  12.543515     0   \n",
      "208493     452822  41.889645  12.540559     0   \n",
      "208494     452822  41.888950  12.542147   114   \n",
      "208495     452822  41.889523  12.542355   114   \n",
      "208496     452822  41.887215  12.541682   118   \n",
      "208497     452822  41.888091  12.542648   162   \n",
      "208498     452822  41.888470  12.541577   238   \n",
      "208499     452822  41.889853  12.541345   238   \n",
      "208500     452822  41.889145  12.541440   365   \n",
      "208501     452822  41.888324  12.540550   365   \n",
      "208502     452822  41.889784  12.543309   384   \n",
      "208503     452822  41.888605  12.542800   384   \n",
      "\n",
      "                                         lat-lon   lat_next   lon_next  \\\n",
      "208491     (41.8872214082623, 12.54140153726294)  41.888845  12.543515   \n",
      "208492    (41.888844733735645, 12.5435153196963)  41.889645  12.540559   \n",
      "208493   (41.88964515434177, 12.540558844544032)  41.888950  12.542147   \n",
      "208494    (41.88894957083752, 12.54214663061348)  41.889523  12.542355   \n",
      "208495   (41.88952291327377, 12.542355114493208)  41.887215  12.541682   \n",
      "208496   (41.88721478168543, 12.541681914648468)  41.888091  12.542648   \n",
      "208497   (41.88809093762254, 12.542647648585634)  41.888470  12.541577   \n",
      "208498   (41.88846998193106, 12.541577448688622)  41.889853  12.541345   \n",
      "208499     (41.88985258226887, 12.5413446608952)  41.889145  12.541440   \n",
      "208500  (41.889144551886496, 12.541439974259996)  41.888324  12.540550   \n",
      "208501   (41.88832369335607, 12.540549760662213)  41.889784  12.543309   \n",
      "208502   (41.88978387672471, 12.543308764436588)  41.888605  12.542800   \n",
      "208503   (41.88860524922661, 12.542799906106154)  41.888605  12.542800   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "208491     0.251570             0.002665           168  \n",
      "208492     0.260980             0.003063           233  \n",
      "208493     0.152755             0.001733           189  \n",
      "208494     0.065991             0.000610           181  \n",
      "208495     0.262385             0.002404           175  \n",
      "208496     0.126074             0.001304           183  \n",
      "208497     0.098294             0.001135           201  \n",
      "208498     0.154778             0.001402           164  \n",
      "208499     0.079039             0.000714           180  \n",
      "208500     0.117351             0.001211           178  \n",
      "208501     0.280600             0.003122           170  \n",
      "208502     0.137555             0.001284           187  \n",
      "208503     0.000000             0.000000           203  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "224402     453299  41.935370  12.421128     0   \n",
      "224403     453299  41.936058  12.420760     0   \n",
      "224404     453299  41.935406  12.422229     0   \n",
      "224405     453299  41.936100  12.419830     0   \n",
      "224406     453299  41.935503  12.418743     0   \n",
      "224407     453299  41.936143  12.420803     0   \n",
      "224408     453299  41.934945  12.420372     0   \n",
      "224409     453299  41.935603  12.421606     0   \n",
      "224410     453299  41.936313  12.421111   151   \n",
      "224411     453299  41.934436  12.419544   151   \n",
      "224412     453299  41.935571  12.419648   151   \n",
      "224413     453299  41.936071  12.420200   151   \n",
      "224414     453299  41.933097  12.419713   151   \n",
      "224415     453299  41.933823  12.420506   151   \n",
      "224416     453299  41.936419  12.420935   151   \n",
      "224417     453299  41.935189  12.420664   151   \n",
      "224418     453299  41.935372  12.419462   286   \n",
      "224419     453299  41.936492  12.421446   286   \n",
      "224420     453299  41.935515  12.417070   286   \n",
      "224421     453299  41.936418  12.420757   286   \n",
      "224422     453299  41.934237  12.421235   286   \n",
      "224423     453299  41.936828  12.420387   286   \n",
      "224424     453299  41.936344  12.419002   286   \n",
      "224425     453299  41.937675  12.419059   286   \n",
      "\n",
      "                                         lat-lon   lat_next   lon_next  \\\n",
      "224402   (41.93537037229534, 12.421128391137572)  41.936058  12.420760   \n",
      "224403   (41.93605784486469, 12.420759905011971)  41.935406  12.422229   \n",
      "224404   (41.93540639932528, 12.422229415077425)  41.936100  12.419830   \n",
      "224405      (41.9361002119263, 12.4198298098329)  41.935503  12.418743   \n",
      "224406   (41.93550323684829, 12.418742662181089)  41.936143  12.420803   \n",
      "224407   (41.936143130462206, 12.42080263222702)  41.934945  12.420372   \n",
      "224408   (41.93494484970533, 12.420372316117067)  41.935603  12.421606   \n",
      "224409   (41.93560295855218, 12.421605959873288)  41.936313  12.421111   \n",
      "224410   (41.93631277513501, 12.421110993787767)  41.934436  12.419544   \n",
      "224411   (41.93443630415196, 12.419543567836042)  41.935571  12.419648   \n",
      "224412   (41.93557094478505, 12.419648106341176)  41.936071  12.420200   \n",
      "224413  (41.936070921620384, 12.420200084560438)  41.933097  12.419713   \n",
      "224414   (41.93309700542864, 12.419713419695409)  41.933823  12.420506   \n",
      "224415   (41.93382276208154, 12.420506198052774)  41.936419  12.420935   \n",
      "224416   (41.93641890698368, 12.420934652873791)  41.935189  12.420664   \n",
      "224417    (41.9351888587089, 12.420663838053317)  41.935372  12.419462   \n",
      "224418   (41.93537243621374, 12.419462174686474)  41.936492  12.421446   \n",
      "224419   (41.93649195269335, 12.421446054015062)  41.935515  12.417070   \n",
      "224420   (41.93551455426155, 12.417070215071051)  41.936418  12.420757   \n",
      "224421   (41.93641813446211, 12.420756573418242)  41.934237  12.421235   \n",
      "224422  (41.934237419176846, 12.421235032358776)  41.936828  12.420387   \n",
      "224423   (41.93682846174561, 12.420387288850986)  41.936344  12.419002   \n",
      "224424   (41.93634372576714, 12.419002340039128)  41.937675  12.419059   \n",
      "224425   (41.93767495060997, 12.419059416405888)  41.937675  12.419059   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "224402     0.082247             0.000780           162  \n",
      "224403     0.141734             0.001607           166  \n",
      "224404     0.213409             0.002498           149  \n",
      "224405     0.111918             0.001240           146  \n",
      "224406     0.185036             0.002157           115  \n",
      "224407     0.137797             0.001273           160  \n",
      "224408     0.125742             0.001398           160  \n",
      "224409     0.088887             0.000865           147  \n",
      "224410     0.245639             0.002445           166  \n",
      "224411     0.126325             0.001139           142  \n",
      "224412     0.071969             0.000745           146  \n",
      "224413     0.332776             0.003013           160  \n",
      "224414     0.104026             0.001075           149  \n",
      "224415     0.290540             0.002631           153  \n",
      "224416     0.138458             0.001260           164  \n",
      "224417     0.101724             0.001216           162  \n",
      "224418     0.206234             0.002278           146  \n",
      "224419     0.378795             0.004484           164  \n",
      "224420     0.321776             0.003795            92  \n",
      "224421     0.245445             0.002233           160  \n",
      "224422     0.296256             0.002726           162  \n",
      "224423     0.126851             0.001467           167  \n",
      "224424     0.147938             0.001332           130  \n",
      "224425     0.000000             0.000000           136  \n",
      "        tripIndex        lat        lon  time  \\\n",
      "133963     453682  41.882095  12.524128     0   \n",
      "133964     453682  41.882441  12.522505     7   \n",
      "133965     453682  41.882666  12.524462     7   \n",
      "133966     453682  41.882332  12.524265     7   \n",
      "133967     453682  41.882288  12.523559   151   \n",
      "133968     453682  41.881731  12.524898   250   \n",
      "133969     453682  41.881577  12.523764   251   \n",
      "133970     453682  41.882991  12.523759   251   \n",
      "\n",
      "                                         lat-lon   lat_next   lon_next  \\\n",
      "133963   (41.88209451548304, 12.524128342017883)  41.882441  12.522505   \n",
      "133964  (41.882441142800594, 12.522505249996165)  41.882666  12.524462   \n",
      "133965   (41.88266609499722, 12.524461790112635)  41.882332  12.524265   \n",
      "133966   (41.88233227334086, 12.524265472423714)  41.882288  12.523559   \n",
      "133967   (41.88228774521518, 12.523558771890114)  41.881731  12.524898   \n",
      "133968     (41.8817307940329, 12.52489814008826)  41.881577  12.523764   \n",
      "133969    (41.88157722000225, 12.52376436997299)  41.882991  12.523759   \n",
      "133970   (41.88299146486334, 12.523758693791732)  41.882991  12.523759   \n",
      "\n",
      "        distance_km  distance_in_minutes  number_trees  \n",
      "133963     0.140115             0.001660           146  \n",
      "133964     0.164309             0.001969           195  \n",
      "133965     0.040501             0.000387           172  \n",
      "133966     0.058867             0.000708           161  \n",
      "133967     0.127225             0.001451           174  \n",
      "133968     0.095641             0.001144           111  \n",
      "133969     0.157082             0.001414           134  \n",
      "133970     0.000000             0.000000           217  \n"
     ]
    }
   ],
   "source": [
    "for x in outliers_tripIndex:\n",
    "  print(all_tj.loc[(all_tj['tripIndex']==x)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "id": "oPGgA2kRHIjq",
    "outputId": "5bb19edf-590a-42cc-e356-d89c50f5f7f1"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "  <div id=\"df-a130e32d-e479-48c2-a138-1a6ccf4d7edc\">\n",
       "    <div class=\"colab-df-container\">\n",
       "      <div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tripIndex</th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>time</th>\n",
       "      <th>lat-lon</th>\n",
       "      <th>lat_next</th>\n",
       "      <th>lon_next</th>\n",
       "      <th>distance_km</th>\n",
       "      <th>distance_in_minutes</th>\n",
       "      <th>number_trees</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>80697</th>\n",
       "      <td>492</td>\n",
       "      <td>41.919669</td>\n",
       "      <td>12.494387</td>\n",
       "      <td>0</td>\n",
       "      <td>(41.91966900706577, 12.494387352594256)</td>\n",
       "      <td>41.921086</td>\n",
       "      <td>12.494581</td>\n",
       "      <td>0.158200</td>\n",
       "      <td>0.001430</td>\n",
       "      <td>136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80698</th>\n",
       "      <td>492</td>\n",
       "      <td>41.921086</td>\n",
       "      <td>12.494581</td>\n",
       "      <td>120</td>\n",
       "      <td>(41.92108593518859, 12.494581241554252)</td>\n",
       "      <td>41.922498</td>\n",
       "      <td>12.492589</td>\n",
       "      <td>0.227878</td>\n",
       "      <td>0.002442</td>\n",
       "      <td>103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80699</th>\n",
       "      <td>492</td>\n",
       "      <td>41.922498</td>\n",
       "      <td>12.492589</td>\n",
       "      <td>123</td>\n",
       "      <td>(41.92249820161162, 12.492588588836378)</td>\n",
       "      <td>41.922626</td>\n",
       "      <td>12.495090</td>\n",
       "      <td>0.207997</td>\n",
       "      <td>0.002505</td>\n",
       "      <td>156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80700</th>\n",
       "      <td>492</td>\n",
       "      <td>41.922626</td>\n",
       "      <td>12.495090</td>\n",
       "      <td>123</td>\n",
       "      <td>(41.92262576915319, 12.495090226989657)</td>\n",
       "      <td>41.921929</td>\n",
       "      <td>12.494358</td>\n",
       "      <td>0.098428</td>\n",
       "      <td>0.001011</td>\n",
       "      <td>131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80701</th>\n",
       "      <td>492</td>\n",
       "      <td>41.921929</td>\n",
       "      <td>12.494358</td>\n",
       "      <td>123</td>\n",
       "      <td>(41.92192874437195, 12.494357505140318)</td>\n",
       "      <td>41.922368</td>\n",
       "      <td>12.495999</td>\n",
       "      <td>0.144618</td>\n",
       "      <td>0.001699</td>\n",
       "      <td>116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80702</th>\n",
       "      <td>492</td>\n",
       "      <td>41.922368</td>\n",
       "      <td>12.495999</td>\n",
       "      <td>123</td>\n",
       "      <td>(41.92236762912652, 12.495998881378432)</td>\n",
       "      <td>41.921257</td>\n",
       "      <td>12.493225</td>\n",
       "      <td>0.261111</td>\n",
       "      <td>0.002988</td>\n",
       "      <td>138</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80703</th>\n",
       "      <td>492</td>\n",
       "      <td>41.921257</td>\n",
       "      <td>12.493225</td>\n",
       "      <td>481</td>\n",
       "      <td>(41.92125653525642, 12.493224916759944)</td>\n",
       "      <td>41.922369</td>\n",
       "      <td>12.492608</td>\n",
       "      <td>0.133704</td>\n",
       "      <td>0.001272</td>\n",
       "      <td>151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80704</th>\n",
       "      <td>492</td>\n",
       "      <td>41.922369</td>\n",
       "      <td>12.492608</td>\n",
       "      <td>481</td>\n",
       "      <td>(41.92236874749873, 12.492608361458094)</td>\n",
       "      <td>41.923026</td>\n",
       "      <td>12.493459</td>\n",
       "      <td>0.101545</td>\n",
       "      <td>0.001075</td>\n",
       "      <td>161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80705</th>\n",
       "      <td>492</td>\n",
       "      <td>41.923026</td>\n",
       "      <td>12.493459</td>\n",
       "      <td>481</td>\n",
       "      <td>(41.923026396257896, 12.493458724802656)</td>\n",
       "      <td>41.921596</td>\n",
       "      <td>12.492228</td>\n",
       "      <td>0.188818</td>\n",
       "      <td>0.001887</td>\n",
       "      <td>141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80706</th>\n",
       "      <td>492</td>\n",
       "      <td>41.921596</td>\n",
       "      <td>12.492228</td>\n",
       "      <td>1136</td>\n",
       "      <td>(41.92159625930836, 12.492228176701436)</td>\n",
       "      <td>41.922298</td>\n",
       "      <td>12.492842</td>\n",
       "      <td>0.093076</td>\n",
       "      <td>0.000932</td>\n",
       "      <td>179</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80707</th>\n",
       "      <td>492</td>\n",
       "      <td>41.922298</td>\n",
       "      <td>12.492842</td>\n",
       "      <td>1136</td>\n",
       "      <td>(41.922297575366926, 12.49284231516272)</td>\n",
       "      <td>41.923301</td>\n",
       "      <td>12.493413</td>\n",
       "      <td>0.121116</td>\n",
       "      <td>0.001155</td>\n",
       "      <td>156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80708</th>\n",
       "      <td>492</td>\n",
       "      <td>41.923301</td>\n",
       "      <td>12.493413</td>\n",
       "      <td>1149</td>\n",
       "      <td>(41.92330127054437, 12.493412967573438)</td>\n",
       "      <td>41.923742</td>\n",
       "      <td>12.492578</td>\n",
       "      <td>0.084810</td>\n",
       "      <td>0.000944</td>\n",
       "      <td>136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80709</th>\n",
       "      <td>492</td>\n",
       "      <td>41.923742</td>\n",
       "      <td>12.492578</td>\n",
       "      <td>1161</td>\n",
       "      <td>(41.923742217904085, 12.492578256270203)</td>\n",
       "      <td>41.919248</td>\n",
       "      <td>12.495934</td>\n",
       "      <td>0.571533</td>\n",
       "      <td>0.005609</td>\n",
       "      <td>145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80710</th>\n",
       "      <td>492</td>\n",
       "      <td>41.919248</td>\n",
       "      <td>12.495934</td>\n",
       "      <td>1190</td>\n",
       "      <td>(41.91924800423423, 12.49593357858109)</td>\n",
       "      <td>41.922070</td>\n",
       "      <td>12.492591</td>\n",
       "      <td>0.418519</td>\n",
       "      <td>0.004375</td>\n",
       "      <td>137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80711</th>\n",
       "      <td>492</td>\n",
       "      <td>41.922070</td>\n",
       "      <td>12.492591</td>\n",
       "      <td>1190</td>\n",
       "      <td>(41.92207046848458, 12.492591120578249)</td>\n",
       "      <td>41.922661</td>\n",
       "      <td>12.493201</td>\n",
       "      <td>0.082834</td>\n",
       "      <td>0.000849</td>\n",
       "      <td>163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80712</th>\n",
       "      <td>492</td>\n",
       "      <td>41.922661</td>\n",
       "      <td>12.493201</td>\n",
       "      <td>1197</td>\n",
       "      <td>(41.922660958939616, 12.493201048666265)</td>\n",
       "      <td>41.920897</td>\n",
       "      <td>12.490331</td>\n",
       "      <td>0.308355</td>\n",
       "      <td>0.003369</td>\n",
       "      <td>145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80713</th>\n",
       "      <td>492</td>\n",
       "      <td>41.920897</td>\n",
       "      <td>12.490331</td>\n",
       "      <td>1216</td>\n",
       "      <td>(41.92089680144182, 12.490330839207584)</td>\n",
       "      <td>41.924478</td>\n",
       "      <td>12.492588</td>\n",
       "      <td>0.439681</td>\n",
       "      <td>0.004234</td>\n",
       "      <td>243</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80714</th>\n",
       "      <td>492</td>\n",
       "      <td>41.924478</td>\n",
       "      <td>12.492588</td>\n",
       "      <td>1216</td>\n",
       "      <td>(41.92447839021168, 12.492588238137865)</td>\n",
       "      <td>41.921480</td>\n",
       "      <td>12.493950</td>\n",
       "      <td>0.351616</td>\n",
       "      <td>0.003293</td>\n",
       "      <td>145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80715</th>\n",
       "      <td>492</td>\n",
       "      <td>41.921480</td>\n",
       "      <td>12.493950</td>\n",
       "      <td>1231</td>\n",
       "      <td>(41.92148041906319, 12.493949557291996)</td>\n",
       "      <td>41.921323</td>\n",
       "      <td>12.492814</td>\n",
       "      <td>0.095805</td>\n",
       "      <td>0.001146</td>\n",
       "      <td>126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80716</th>\n",
       "      <td>492</td>\n",
       "      <td>41.921323</td>\n",
       "      <td>12.492814</td>\n",
       "      <td>1262</td>\n",
       "      <td>(41.92132257488065, 12.492814125034576)</td>\n",
       "      <td>41.921849</td>\n",
       "      <td>12.494076</td>\n",
       "      <td>0.119852</td>\n",
       "      <td>0.001367</td>\n",
       "      <td>164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80717</th>\n",
       "      <td>492</td>\n",
       "      <td>41.921849</td>\n",
       "      <td>12.494076</td>\n",
       "      <td>1265</td>\n",
       "      <td>(41.921848603184, 12.494075639971712)</td>\n",
       "      <td>41.920014</td>\n",
       "      <td>12.493825</td>\n",
       "      <td>0.204792</td>\n",
       "      <td>0.001851</td>\n",
       "      <td>123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80718</th>\n",
       "      <td>492</td>\n",
       "      <td>41.920014</td>\n",
       "      <td>12.493825</td>\n",
       "      <td>1284</td>\n",
       "      <td>(41.92001437787557, 12.493824591132284)</td>\n",
       "      <td>41.922737</td>\n",
       "      <td>12.492486</td>\n",
       "      <td>0.322184</td>\n",
       "      <td>0.003034</td>\n",
       "      <td>134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80719</th>\n",
       "      <td>492</td>\n",
       "      <td>41.922737</td>\n",
       "      <td>12.492486</td>\n",
       "      <td>1297</td>\n",
       "      <td>(41.922737395859, 12.492486193959373)</td>\n",
       "      <td>41.920337</td>\n",
       "      <td>12.492693</td>\n",
       "      <td>0.267143</td>\n",
       "      <td>0.002409</td>\n",
       "      <td>160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80720</th>\n",
       "      <td>492</td>\n",
       "      <td>41.920337</td>\n",
       "      <td>12.492693</td>\n",
       "      <td>1310</td>\n",
       "      <td>(41.920337222997176, 12.492693060795636)</td>\n",
       "      <td>41.922097</td>\n",
       "      <td>12.490842</td>\n",
       "      <td>0.248566</td>\n",
       "      <td>0.002554</td>\n",
       "      <td>180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80721</th>\n",
       "      <td>492</td>\n",
       "      <td>41.922097</td>\n",
       "      <td>12.490842</td>\n",
       "      <td>1311</td>\n",
       "      <td>(41.92209712549799, 12.490842128535188)</td>\n",
       "      <td>41.921268</td>\n",
       "      <td>12.490116</td>\n",
       "      <td>0.110066</td>\n",
       "      <td>0.001102</td>\n",
       "      <td>221</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80722</th>\n",
       "      <td>492</td>\n",
       "      <td>41.921268</td>\n",
       "      <td>12.490116</td>\n",
       "      <td>1326</td>\n",
       "      <td>(41.92126771165978, 12.490116051211563)</td>\n",
       "      <td>41.921660</td>\n",
       "      <td>12.491436</td>\n",
       "      <td>0.117875</td>\n",
       "      <td>0.001377</td>\n",
       "      <td>255</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80723</th>\n",
       "      <td>492</td>\n",
       "      <td>41.921660</td>\n",
       "      <td>12.491436</td>\n",
       "      <td>1326</td>\n",
       "      <td>(41.92166017799169, 12.491436309000454)</td>\n",
       "      <td>41.921845</td>\n",
       "      <td>12.493943</td>\n",
       "      <td>0.208960</td>\n",
       "      <td>0.002514</td>\n",
       "      <td>214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80724</th>\n",
       "      <td>492</td>\n",
       "      <td>41.921845</td>\n",
       "      <td>12.493943</td>\n",
       "      <td>1335</td>\n",
       "      <td>(41.92184466890175, 12.493943205338535)</td>\n",
       "      <td>41.921918</td>\n",
       "      <td>12.493580</td>\n",
       "      <td>0.031219</td>\n",
       "      <td>0.000371</td>\n",
       "      <td>136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80725</th>\n",
       "      <td>492</td>\n",
       "      <td>41.921918</td>\n",
       "      <td>12.493580</td>\n",
       "      <td>1345</td>\n",
       "      <td>(41.92191828991559, 12.493579996837214)</td>\n",
       "      <td>41.924644</td>\n",
       "      <td>12.492248</td>\n",
       "      <td>0.322238</td>\n",
       "      <td>0.003033</td>\n",
       "      <td>138</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80726</th>\n",
       "      <td>492</td>\n",
       "      <td>41.924644</td>\n",
       "      <td>12.492248</td>\n",
       "      <td>1356</td>\n",
       "      <td>(41.9246435886332, 12.492248019447992)</td>\n",
       "      <td>41.923917</td>\n",
       "      <td>12.493121</td>\n",
       "      <td>0.108450</td>\n",
       "      <td>0.001136</td>\n",
       "      <td>149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80727</th>\n",
       "      <td>492</td>\n",
       "      <td>41.923917</td>\n",
       "      <td>12.493121</td>\n",
       "      <td>1376</td>\n",
       "      <td>(41.92391695438263, 12.493121333648949)</td>\n",
       "      <td>41.923854</td>\n",
       "      <td>12.492321</td>\n",
       "      <td>0.066718</td>\n",
       "      <td>0.000802</td>\n",
       "      <td>131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80728</th>\n",
       "      <td>492</td>\n",
       "      <td>41.923854</td>\n",
       "      <td>12.492321</td>\n",
       "      <td>1418</td>\n",
       "      <td>(41.923853646601145, 12.492321487867851)</td>\n",
       "      <td>41.922819</td>\n",
       "      <td>12.491260</td>\n",
       "      <td>0.144834</td>\n",
       "      <td>0.001483</td>\n",
       "      <td>149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80729</th>\n",
       "      <td>492</td>\n",
       "      <td>41.922819</td>\n",
       "      <td>12.491260</td>\n",
       "      <td>1420</td>\n",
       "      <td>(41.92281854003285, 12.491259615531195)</td>\n",
       "      <td>41.921670</td>\n",
       "      <td>12.492110</td>\n",
       "      <td>0.145730</td>\n",
       "      <td>0.001429</td>\n",
       "      <td>190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80730</th>\n",
       "      <td>492</td>\n",
       "      <td>41.921670</td>\n",
       "      <td>12.492110</td>\n",
       "      <td>1420</td>\n",
       "      <td>(41.92167045492399, 12.492110000791405)</td>\n",
       "      <td>41.923324</td>\n",
       "      <td>12.494059</td>\n",
       "      <td>0.244705</td>\n",
       "      <td>0.002556</td>\n",
       "      <td>184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80731</th>\n",
       "      <td>492</td>\n",
       "      <td>41.923324</td>\n",
       "      <td>12.494059</td>\n",
       "      <td>1431</td>\n",
       "      <td>(41.92332412644977, 12.494059216450454)</td>\n",
       "      <td>41.922297</td>\n",
       "      <td>12.491065</td>\n",
       "      <td>0.273295</td>\n",
       "      <td>0.003165</td>\n",
       "      <td>136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80732</th>\n",
       "      <td>492</td>\n",
       "      <td>41.922297</td>\n",
       "      <td>12.491065</td>\n",
       "      <td>1454</td>\n",
       "      <td>(41.9222969515284, 12.491065379028136)</td>\n",
       "      <td>41.921939</td>\n",
       "      <td>12.491801</td>\n",
       "      <td>0.072850</td>\n",
       "      <td>0.000818</td>\n",
       "      <td>206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80733</th>\n",
       "      <td>492</td>\n",
       "      <td>41.921939</td>\n",
       "      <td>12.491801</td>\n",
       "      <td>1455</td>\n",
       "      <td>(41.92193881820493, 12.4918011262783)</td>\n",
       "      <td>41.921415</td>\n",
       "      <td>12.492729</td>\n",
       "      <td>0.096521</td>\n",
       "      <td>0.001066</td>\n",
       "      <td>192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80734</th>\n",
       "      <td>492</td>\n",
       "      <td>41.921415</td>\n",
       "      <td>12.492729</td>\n",
       "      <td>1490</td>\n",
       "      <td>(41.92141455179769, 12.49272908493451)</td>\n",
       "      <td>41.922148</td>\n",
       "      <td>12.493448</td>\n",
       "      <td>0.100999</td>\n",
       "      <td>0.001027</td>\n",
       "      <td>165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80735</th>\n",
       "      <td>492</td>\n",
       "      <td>41.922148</td>\n",
       "      <td>12.493448</td>\n",
       "      <td>1491</td>\n",
       "      <td>(41.92214826248578, 12.493448315020636)</td>\n",
       "      <td>41.922053</td>\n",
       "      <td>12.490895</td>\n",
       "      <td>0.212108</td>\n",
       "      <td>0.002556</td>\n",
       "      <td>143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80736</th>\n",
       "      <td>492</td>\n",
       "      <td>41.922053</td>\n",
       "      <td>12.490895</td>\n",
       "      <td>1504</td>\n",
       "      <td>(41.922052614640336, 12.490894524663384)</td>\n",
       "      <td>41.921830</td>\n",
       "      <td>12.493175</td>\n",
       "      <td>0.190794</td>\n",
       "      <td>0.002292</td>\n",
       "      <td>218</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80737</th>\n",
       "      <td>492</td>\n",
       "      <td>41.921830</td>\n",
       "      <td>12.493175</td>\n",
       "      <td>1520</td>\n",
       "      <td>(41.92183046274327, 12.493175265703371)</td>\n",
       "      <td>41.921622</td>\n",
       "      <td>12.491969</td>\n",
       "      <td>0.102713</td>\n",
       "      <td>0.001224</td>\n",
       "      <td>149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80738</th>\n",
       "      <td>492</td>\n",
       "      <td>41.921622</td>\n",
       "      <td>12.491969</td>\n",
       "      <td>1536</td>\n",
       "      <td>(41.92162163876298, 12.491969024898255)</td>\n",
       "      <td>41.921249</td>\n",
       "      <td>12.490505</td>\n",
       "      <td>0.128294</td>\n",
       "      <td>0.001511</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80739</th>\n",
       "      <td>492</td>\n",
       "      <td>41.921249</td>\n",
       "      <td>12.490505</td>\n",
       "      <td>1548</td>\n",
       "      <td>(41.92124872036542, 12.490505260658855)</td>\n",
       "      <td>41.920077</td>\n",
       "      <td>12.493286</td>\n",
       "      <td>0.264875</td>\n",
       "      <td>0.003018</td>\n",
       "      <td>245</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80740</th>\n",
       "      <td>492</td>\n",
       "      <td>41.920077</td>\n",
       "      <td>12.493286</td>\n",
       "      <td>1548</td>\n",
       "      <td>(41.92007653206897, 12.493285945449925)</td>\n",
       "      <td>41.920531</td>\n",
       "      <td>12.493566</td>\n",
       "      <td>0.055563</td>\n",
       "      <td>0.000534</td>\n",
       "      <td>157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80741</th>\n",
       "      <td>492</td>\n",
       "      <td>41.920531</td>\n",
       "      <td>12.493566</td>\n",
       "      <td>1670</td>\n",
       "      <td>(41.920531080548486, 12.493565610580209)</td>\n",
       "      <td>41.923100</td>\n",
       "      <td>12.493009</td>\n",
       "      <td>0.289040</td>\n",
       "      <td>0.002628</td>\n",
       "      <td>133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80742</th>\n",
       "      <td>492</td>\n",
       "      <td>41.923100</td>\n",
       "      <td>12.493009</td>\n",
       "      <td>1690</td>\n",
       "      <td>(41.923099987112735, 12.493009309203826)</td>\n",
       "      <td>41.921137</td>\n",
       "      <td>12.494010</td>\n",
       "      <td>0.233280</td>\n",
       "      <td>0.002203</td>\n",
       "      <td>148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80743</th>\n",
       "      <td>492</td>\n",
       "      <td>41.921137</td>\n",
       "      <td>12.494010</td>\n",
       "      <td>1690</td>\n",
       "      <td>(41.92113706860607, 12.494009587931442)</td>\n",
       "      <td>41.922147</td>\n",
       "      <td>12.492386</td>\n",
       "      <td>0.175288</td>\n",
       "      <td>0.001912</td>\n",
       "      <td>115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80744</th>\n",
       "      <td>492</td>\n",
       "      <td>41.922147</td>\n",
       "      <td>12.492386</td>\n",
       "      <td>1720</td>\n",
       "      <td>(41.92214703560814, 12.49238587009464)</td>\n",
       "      <td>41.921420</td>\n",
       "      <td>12.492870</td>\n",
       "      <td>0.090171</td>\n",
       "      <td>0.000873</td>\n",
       "      <td>173</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80745</th>\n",
       "      <td>492</td>\n",
       "      <td>41.921420</td>\n",
       "      <td>12.492870</td>\n",
       "      <td>1720</td>\n",
       "      <td>(41.92142012173652, 12.492869861120775)</td>\n",
       "      <td>41.922132</td>\n",
       "      <td>12.493175</td>\n",
       "      <td>0.083020</td>\n",
       "      <td>0.000775</td>\n",
       "      <td>159</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80746</th>\n",
       "      <td>492</td>\n",
       "      <td>41.922132</td>\n",
       "      <td>12.493175</td>\n",
       "      <td>1781</td>\n",
       "      <td>(41.92213187449459, 12.493175424177744)</td>\n",
       "      <td>41.922489</td>\n",
       "      <td>12.494257</td>\n",
       "      <td>0.098139</td>\n",
       "      <td>0.001139</td>\n",
       "      <td>147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80747</th>\n",
       "      <td>492</td>\n",
       "      <td>41.922489</td>\n",
       "      <td>12.494257</td>\n",
       "      <td>1781</td>\n",
       "      <td>(41.92248921667444, 12.494257442938478)</td>\n",
       "      <td>41.921204</td>\n",
       "      <td>12.493504</td>\n",
       "      <td>0.155833</td>\n",
       "      <td>0.001490</td>\n",
       "      <td>130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80748</th>\n",
       "      <td>492</td>\n",
       "      <td>41.921204</td>\n",
       "      <td>12.493504</td>\n",
       "      <td>1781</td>\n",
       "      <td>(41.92120386600729, 12.493504434735057)</td>\n",
       "      <td>41.922164</td>\n",
       "      <td>12.495534</td>\n",
       "      <td>0.199324</td>\n",
       "      <td>0.002245</td>\n",
       "      <td>142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80749</th>\n",
       "      <td>492</td>\n",
       "      <td>41.922164</td>\n",
       "      <td>12.495534</td>\n",
       "      <td>2025</td>\n",
       "      <td>(41.92216443578222, 12.49553410468472)</td>\n",
       "      <td>41.920334</td>\n",
       "      <td>12.495291</td>\n",
       "      <td>0.204270</td>\n",
       "      <td>0.001846</td>\n",
       "      <td>126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80750</th>\n",
       "      <td>492</td>\n",
       "      <td>41.920334</td>\n",
       "      <td>12.495291</td>\n",
       "      <td>2027</td>\n",
       "      <td>(41.92033435384193, 12.495290833196409)</td>\n",
       "      <td>41.920334</td>\n",
       "      <td>12.495291</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>123</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-a130e32d-e479-48c2-a138-1a6ccf4d7edc')\"\n",
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      "text/plain": [
       "       tripIndex        lat        lon  time  \\\n",
       "80697        492  41.919669  12.494387     0   \n",
       "80698        492  41.921086  12.494581   120   \n",
       "80699        492  41.922498  12.492589   123   \n",
       "80700        492  41.922626  12.495090   123   \n",
       "80701        492  41.921929  12.494358   123   \n",
       "80702        492  41.922368  12.495999   123   \n",
       "80703        492  41.921257  12.493225   481   \n",
       "80704        492  41.922369  12.492608   481   \n",
       "80705        492  41.923026  12.493459   481   \n",
       "80706        492  41.921596  12.492228  1136   \n",
       "80707        492  41.922298  12.492842  1136   \n",
       "80708        492  41.923301  12.493413  1149   \n",
       "80709        492  41.923742  12.492578  1161   \n",
       "80710        492  41.919248  12.495934  1190   \n",
       "80711        492  41.922070  12.492591  1190   \n",
       "80712        492  41.922661  12.493201  1197   \n",
       "80713        492  41.920897  12.490331  1216   \n",
       "80714        492  41.924478  12.492588  1216   \n",
       "80715        492  41.921480  12.493950  1231   \n",
       "80716        492  41.921323  12.492814  1262   \n",
       "80717        492  41.921849  12.494076  1265   \n",
       "80718        492  41.920014  12.493825  1284   \n",
       "80719        492  41.922737  12.492486  1297   \n",
       "80720        492  41.920337  12.492693  1310   \n",
       "80721        492  41.922097  12.490842  1311   \n",
       "80722        492  41.921268  12.490116  1326   \n",
       "80723        492  41.921660  12.491436  1326   \n",
       "80724        492  41.921845  12.493943  1335   \n",
       "80725        492  41.921918  12.493580  1345   \n",
       "80726        492  41.924644  12.492248  1356   \n",
       "80727        492  41.923917  12.493121  1376   \n",
       "80728        492  41.923854  12.492321  1418   \n",
       "80729        492  41.922819  12.491260  1420   \n",
       "80730        492  41.921670  12.492110  1420   \n",
       "80731        492  41.923324  12.494059  1431   \n",
       "80732        492  41.922297  12.491065  1454   \n",
       "80733        492  41.921939  12.491801  1455   \n",
       "80734        492  41.921415  12.492729  1490   \n",
       "80735        492  41.922148  12.493448  1491   \n",
       "80736        492  41.922053  12.490895  1504   \n",
       "80737        492  41.921830  12.493175  1520   \n",
       "80738        492  41.921622  12.491969  1536   \n",
       "80739        492  41.921249  12.490505  1548   \n",
       "80740        492  41.920077  12.493286  1548   \n",
       "80741        492  41.920531  12.493566  1670   \n",
       "80742        492  41.923100  12.493009  1690   \n",
       "80743        492  41.921137  12.494010  1690   \n",
       "80744        492  41.922147  12.492386  1720   \n",
       "80745        492  41.921420  12.492870  1720   \n",
       "80746        492  41.922132  12.493175  1781   \n",
       "80747        492  41.922489  12.494257  1781   \n",
       "80748        492  41.921204  12.493504  1781   \n",
       "80749        492  41.922164  12.495534  2025   \n",
       "80750        492  41.920334  12.495291  2027   \n",
       "\n",
       "                                        lat-lon   lat_next   lon_next  \\\n",
       "80697   (41.91966900706577, 12.494387352594256)  41.921086  12.494581   \n",
       "80698   (41.92108593518859, 12.494581241554252)  41.922498  12.492589   \n",
       "80699   (41.92249820161162, 12.492588588836378)  41.922626  12.495090   \n",
       "80700   (41.92262576915319, 12.495090226989657)  41.921929  12.494358   \n",
       "80701   (41.92192874437195, 12.494357505140318)  41.922368  12.495999   \n",
       "80702   (41.92236762912652, 12.495998881378432)  41.921257  12.493225   \n",
       "80703   (41.92125653525642, 12.493224916759944)  41.922369  12.492608   \n",
       "80704   (41.92236874749873, 12.492608361458094)  41.923026  12.493459   \n",
       "80705  (41.923026396257896, 12.493458724802656)  41.921596  12.492228   \n",
       "80706   (41.92159625930836, 12.492228176701436)  41.922298  12.492842   \n",
       "80707   (41.922297575366926, 12.49284231516272)  41.923301  12.493413   \n",
       "80708   (41.92330127054437, 12.493412967573438)  41.923742  12.492578   \n",
       "80709  (41.923742217904085, 12.492578256270203)  41.919248  12.495934   \n",
       "80710    (41.91924800423423, 12.49593357858109)  41.922070  12.492591   \n",
       "80711   (41.92207046848458, 12.492591120578249)  41.922661  12.493201   \n",
       "80712  (41.922660958939616, 12.493201048666265)  41.920897  12.490331   \n",
       "80713   (41.92089680144182, 12.490330839207584)  41.924478  12.492588   \n",
       "80714   (41.92447839021168, 12.492588238137865)  41.921480  12.493950   \n",
       "80715   (41.92148041906319, 12.493949557291996)  41.921323  12.492814   \n",
       "80716   (41.92132257488065, 12.492814125034576)  41.921849  12.494076   \n",
       "80717     (41.921848603184, 12.494075639971712)  41.920014  12.493825   \n",
       "80718   (41.92001437787557, 12.493824591132284)  41.922737  12.492486   \n",
       "80719     (41.922737395859, 12.492486193959373)  41.920337  12.492693   \n",
       "80720  (41.920337222997176, 12.492693060795636)  41.922097  12.490842   \n",
       "80721   (41.92209712549799, 12.490842128535188)  41.921268  12.490116   \n",
       "80722   (41.92126771165978, 12.490116051211563)  41.921660  12.491436   \n",
       "80723   (41.92166017799169, 12.491436309000454)  41.921845  12.493943   \n",
       "80724   (41.92184466890175, 12.493943205338535)  41.921918  12.493580   \n",
       "80725   (41.92191828991559, 12.493579996837214)  41.924644  12.492248   \n",
       "80726    (41.9246435886332, 12.492248019447992)  41.923917  12.493121   \n",
       "80727   (41.92391695438263, 12.493121333648949)  41.923854  12.492321   \n",
       "80728  (41.923853646601145, 12.492321487867851)  41.922819  12.491260   \n",
       "80729   (41.92281854003285, 12.491259615531195)  41.921670  12.492110   \n",
       "80730   (41.92167045492399, 12.492110000791405)  41.923324  12.494059   \n",
       "80731   (41.92332412644977, 12.494059216450454)  41.922297  12.491065   \n",
       "80732    (41.9222969515284, 12.491065379028136)  41.921939  12.491801   \n",
       "80733     (41.92193881820493, 12.4918011262783)  41.921415  12.492729   \n",
       "80734    (41.92141455179769, 12.49272908493451)  41.922148  12.493448   \n",
       "80735   (41.92214826248578, 12.493448315020636)  41.922053  12.490895   \n",
       "80736  (41.922052614640336, 12.490894524663384)  41.921830  12.493175   \n",
       "80737   (41.92183046274327, 12.493175265703371)  41.921622  12.491969   \n",
       "80738   (41.92162163876298, 12.491969024898255)  41.921249  12.490505   \n",
       "80739   (41.92124872036542, 12.490505260658855)  41.920077  12.493286   \n",
       "80740   (41.92007653206897, 12.493285945449925)  41.920531  12.493566   \n",
       "80741  (41.920531080548486, 12.493565610580209)  41.923100  12.493009   \n",
       "80742  (41.923099987112735, 12.493009309203826)  41.921137  12.494010   \n",
       "80743   (41.92113706860607, 12.494009587931442)  41.922147  12.492386   \n",
       "80744    (41.92214703560814, 12.49238587009464)  41.921420  12.492870   \n",
       "80745   (41.92142012173652, 12.492869861120775)  41.922132  12.493175   \n",
       "80746   (41.92213187449459, 12.493175424177744)  41.922489  12.494257   \n",
       "80747   (41.92248921667444, 12.494257442938478)  41.921204  12.493504   \n",
       "80748   (41.92120386600729, 12.493504434735057)  41.922164  12.495534   \n",
       "80749    (41.92216443578222, 12.49553410468472)  41.920334  12.495291   \n",
       "80750   (41.92033435384193, 12.495290833196409)  41.920334  12.495291   \n",
       "\n",
       "       distance_km  distance_in_minutes  number_trees  \n",
       "80697     0.158200             0.001430           136  \n",
       "80698     0.227878             0.002442           103  \n",
       "80699     0.207997             0.002505           156  \n",
       "80700     0.098428             0.001011           131  \n",
       "80701     0.144618             0.001699           116  \n",
       "80702     0.261111             0.002988           138  \n",
       "80703     0.133704             0.001272           151  \n",
       "80704     0.101545             0.001075           161  \n",
       "80705     0.188818             0.001887           141  \n",
       "80706     0.093076             0.000932           179  \n",
       "80707     0.121116             0.001155           156  \n",
       "80708     0.084810             0.000944           136  \n",
       "80709     0.571533             0.005609           145  \n",
       "80710     0.418519             0.004375           137  \n",
       "80711     0.082834             0.000849           163  \n",
       "80712     0.308355             0.003369           145  \n",
       "80713     0.439681             0.004234           243  \n",
       "80714     0.351616             0.003293           145  \n",
       "80715     0.095805             0.001146           126  \n",
       "80716     0.119852             0.001367           164  \n",
       "80717     0.204792             0.001851           123  \n",
       "80718     0.322184             0.003034           134  \n",
       "80719     0.267143             0.002409           160  \n",
       "80720     0.248566             0.002554           180  \n",
       "80721     0.110066             0.001102           221  \n",
       "80722     0.117875             0.001377           255  \n",
       "80723     0.208960             0.002514           214  \n",
       "80724     0.031219             0.000371           136  \n",
       "80725     0.322238             0.003033           138  \n",
       "80726     0.108450             0.001136           149  \n",
       "80727     0.066718             0.000802           131  \n",
       "80728     0.144834             0.001483           149  \n",
       "80729     0.145730             0.001429           190  \n",
       "80730     0.244705             0.002556           184  \n",
       "80731     0.273295             0.003165           136  \n",
       "80732     0.072850             0.000818           206  \n",
       "80733     0.096521             0.001066           192  \n",
       "80734     0.100999             0.001027           165  \n",
       "80735     0.212108             0.002556           143  \n",
       "80736     0.190794             0.002292           218  \n",
       "80737     0.102713             0.001224           149  \n",
       "80738     0.128294             0.001511           187  \n",
       "80739     0.264875             0.003018           245  \n",
       "80740     0.055563             0.000534           157  \n",
       "80741     0.289040             0.002628           133  \n",
       "80742     0.233280             0.002203           148  \n",
       "80743     0.175288             0.001912           115  \n",
       "80744     0.090171             0.000873           173  \n",
       "80745     0.083020             0.000775           159  \n",
       "80746     0.098139             0.001139           147  \n",
       "80747     0.155833             0.001490           130  \n",
       "80748     0.199324             0.002245           142  \n",
       "80749     0.204270             0.001846           126  \n",
       "80750     0.000000             0.000000           123  "
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "trip_lat_lon1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 54
    },
    "id": "8MZK6Iav3vew",
    "outputId": "df6019a4-8b5a-4bd9-a78e-4730a2181333"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.google.colaboratory.intrinsic+json": {
       "type": "string"
      },
      "text/plain": [
       "\"trip_latlon_list_3 = trip_latlon_3['lat-lon'].tolist()\\ntrip_latlon_list_4 = trip_latlon_3['lat-lon'].tolist()\\ntrip_latlon_list_5 = trip_latlon_3['lat-lon'].tolist()\""
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "trip_latlon_list = trip_lat_lon['lat-lon'].tolist()\n",
    "#trip_latlon_list_2 = trip_latlon_2['lat-lon'].tolist()\n",
    "'''trip_latlon_list_3 = trip_latlon_3['lat-lon'].tolist()\n",
    "trip_latlon_list_4 = trip_latlon_3['lat-lon'].tolist()\n",
    "trip_latlon_list_5 = trip_latlon_3['lat-lon'].tolist()'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 90
    },
    "id": "whLouZtScbjk",
    "outputId": "c1e6b234-235e-448b-dc46-c1a59fe6aa26"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.google.colaboratory.intrinsic+json": {
       "type": "string"
      },
      "text/plain": [
       "\"line_3=folium.vector_layers.PolyLine(trip_latlon_list_3,popup='<b>Path of Trip_3</b>',tooltip='trip_3',color='green',weight=5).add_to(f3)\\nline_4=folium.vector_layers.PolyLine(trip_latlon_list_4,popup='<b>Path of Trip_3</b>',tooltip='trip_4',color='yellow',weight=5).add_to(f4)\\nline_5=folium.vector_layers.PolyLine(trip_latlon_list_5,popup='<b>Path of Trip_3</b>',tooltip='trip_5',color='green',weight=5).add_to(f5)\""
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f1=folium.FeatureGroup(\"Trip 1\")\n",
    "#f2=folium.FeatureGroup(\"Trip 2\")\n",
    "'''f3=folium.FeatureGroup(\"Trip 3\")\n",
    "f4=folium.FeatureGroup(\"Trip 4\")\n",
    "f5=folium.FeatureGroup(\"Trip 5\")'''\n",
    "\n",
    "\n",
    "# Adding lines to the different feature groups\n",
    "line_1=folium.vector_layers.PolyLine(trip_latlon_list,popup='<b>Path of Trip_1</b>',tooltip='trip_1',color='blue',weight=5).add_to(f1)\n",
    "#line_2=folium.vector_layers.PolyLine(trip_latlon_list_2,popup='<b>Path of Trip_2</b>',tooltip='trip_2',color='red',weight=5).add_to(f2)\n",
    "'''line_3=folium.vector_layers.PolyLine(trip_latlon_list_3,popup='<b>Path of Trip_3</b>',tooltip='trip_3',color='green',weight=5).add_to(f3)\n",
    "line_4=folium.vector_layers.PolyLine(trip_latlon_list_4,popup='<b>Path of Trip_3</b>',tooltip='trip_4',color='yellow',weight=5).add_to(f4)\n",
    "line_5=folium.vector_layers.PolyLine(trip_latlon_list_5,popup='<b>Path of Trip_3</b>',tooltip='trip_5',color='green',weight=5).add_to(f5)'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 571
    },
    "id": "H9N4N4QMJ1d-",
    "outputId": "1d0eba01-bcb8-48fa-d4b1-21b6a8dab037"
   },
   "outputs": [
    {
     "data": {
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       "  &quot;fillRule&quot;: &quot;evenodd&quot;,\n",
       "  &quot;lineCap&quot;: &quot;round&quot;,\n",
       "  &quot;lineJoin&quot;: &quot;round&quot;,\n",
       "  &quot;noClip&quot;: false,\n",
       "  &quot;opacity&quot;: 1.0,\n",
       "  &quot;smoothFactor&quot;: 1.0,\n",
       "  &quot;stroke&quot;: true,\n",
       "  &quot;weight&quot;: 5\n",
       "}\n",
       "                    )\n",
       "                    .addTo(feature_group_7aa489b6bef66074b9fe2cec4b331e73);\n",
       "            \n",
       "    \n",
       "            var popup_b9d20da43d667082391546cfb0cbbf8c = L.popup({maxWidth: &#x27;100%&#x27;\n",
       "            \n",
       "            });\n",
       "\n",
       "            \n",
       "                var html_202b8b60241026fbd89622479dc4bdd5 = $(`&lt;div id=&quot;html_202b8b60241026fbd89622479dc4bdd5&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;b&gt;Path of Trip_1&lt;/b&gt;&lt;/div&gt;`)[0];\n",
       "                popup_b9d20da43d667082391546cfb0cbbf8c.setContent(html_202b8b60241026fbd89622479dc4bdd5);\n",
       "            \n",
       "\n",
       "            poly_line_7a2e572e09a6edf04c9adfbe345c6e3f.bindPopup(popup_b9d20da43d667082391546cfb0cbbf8c)\n",
       "            ;\n",
       "\n",
       "            \n",
       "        \n",
       "    \n",
       "        poly_line_7a2e572e09a6edf04c9adfbe345c6e3f.bindTooltip(\n",
       "            `&lt;div&gt;`\n",
       "            + `trip_1` + `&lt;/div&gt;`,\n",
       "            {&quot;sticky&quot;: true}\n",
       "        );\n",
       "        \n",
       "    \n",
       "            var layer_control_95e60c1e1f026076152f9f5d42a6c8f9 = {\n",
       "                base_layers : { &quot;openstreetmap&quot; : tile_layer_ff0078646954b71469cbfa98fd280897, },\n",
       "                overlays : { &quot;Trip 1&quot; : feature_group_7aa489b6bef66074b9fe2cec4b331e73, }\n",
       "                };\n",
       "            L.control.layers(\n",
       "                layer_control_95e60c1e1f026076152f9f5d42a6c8f9.base_layers,\n",
       "                layer_control_95e60c1e1f026076152f9f5d42a6c8f9.overlays,\n",
       "                {position: &#x27;topright&#x27;,\n",
       "                 collapsed: true,\n",
       "                 autoZIndex: true\n",
       "                }).addTo(map_90be4de5f0eefb99e35cd7f9c7fd236d);\n",
       "            \n",
       "        \n",
       "    \n",
       "            var layer_control_b67a85cf88685954c2489c57b9e8367c = {\n",
       "                base_layers : { &quot;openstreetmap&quot; : tile_layer_ff0078646954b71469cbfa98fd280897, },\n",
       "                overlays : { &quot;Trip 1&quot; : feature_group_7aa489b6bef66074b9fe2cec4b331e73, }\n",
       "                };\n",
       "            L.control.layers(\n",
       "                layer_control_b67a85cf88685954c2489c57b9e8367c.base_layers,\n",
       "                layer_control_b67a85cf88685954c2489c57b9e8367c.overlays,\n",
       "                {position: &#x27;topright&#x27;,\n",
       "                 collapsed: true,\n",
       "                 autoZIndex: true\n",
       "                }).addTo(map_90be4de5f0eefb99e35cd7f9c7fd236d);\n",
       "            \n",
       "        \n",
       "&lt;/script&gt;\" width=\"750\" height=\"550\"style=\"border:none !important;\" \"allowfullscreen\" \"webkitallowfullscreen\" \"mozallowfullscreen\"></iframe>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7f6f42379f50>"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f1.add_to(map)\n",
    "#f2.add_to(map)\n",
    "'''f3.add_to(map)\n",
    "f4.add_to(map)\n",
    "f5.add_to(map)'''\n",
    "\n",
    "folium.LayerControl().add_to(map)\n",
    "map"
   ]
  }
 ],
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   "name": "ALL_TRAJRCTORIES.ipynb",
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