Project Taxi Availability (Part II).ipynb

{
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   "cell_type": "markdown",
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   "source": [
    "# Part II: Feature Engineering\n",
    "Right now, only coordinates and time are available. In Part II, the most important pieces of information in the CSV is extracted and simplified for subsequent Parts. \n",
    "\n",
    "In this notebook, the following has been done:\n",
    "1. Load the CSV obtained from Part I\n",
    "2. Convert the string representation of lists as actual lists\n",
    "3. Divide the coordinates of taxis into different sectors\n",
    "4. Engineer new features out of the time data\n",
    "5. Drop unneeded columns\n",
    "6. Export the engineered DataFrame\n",
    "\n",
    "### Step 1: Import the following libraries\n",
    "- pandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Step 1: Import pandas\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 2: Read the CSV from Part I\n",
    "Read the CSV from Part I as a DataFrame."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
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       "      <td>2019-01-30T23:39:40+08:00</td>\n",
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       "      <th>8638</th>\n",
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       "      <td>healthy</td>\n",
       "      <td>2019-01-31 00:00</td>\n",
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       "      Unnamed: 0     type geometry.type  \\\n",
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       "\n",
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       "...                                                 ...   \n",
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       "\n",
       "           properties.timestamp  properties.taxi_count  \\\n",
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       "8640  2019-01-30T23:59:41+08:00                   5848   \n",
       "\n",
       "     properties.api_info.status              time  \n",
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       "\n",
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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Step 2: Read the CSV\n",
    "data = pd.read_csv('DataFrame.csv')\n",
    "display(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
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       "         type geometry.type  \\\n",
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       "4     Feature    MultiPoint   \n",
       "...       ...           ...   \n",
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       "8639  Feature    MultiPoint   \n",
       "8640  Feature    MultiPoint   \n",
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       "4     [[103.628, 1.31262], [103.63714, 1.29914], [10...   \n",
       "...                                                 ...   \n",
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       "8639  [[103.62935, 1.2973], [103.62964, 1.29373], [1...   \n",
       "8640  [[103.61469, 1.24656], [103.62067, 1.27544], [...   \n",
       "\n",
       "           properties.timestamp  properties.taxi_count  \\\n",
       "0     2018-12-31T23:59:44+08:00                   5887   \n",
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       "3     2019-01-01T00:14:45+08:00                   5461   \n",
       "4     2019-01-01T00:19:45+08:00                   5003   \n",
       "...                         ...                    ...   \n",
       "8636  2019-01-30T23:39:40+08:00                   5782   \n",
       "8637  2019-01-30T23:44:40+08:00                   5843   \n",
       "8638  2019-01-30T23:49:40+08:00                   5825   \n",
       "8639  2019-01-30T23:54:40+08:00                   5783   \n",
       "8640  2019-01-30T23:59:41+08:00                   5848   \n",
       "\n",
       "     properties.api_info.status              time  \n",
       "0                       healthy  2019-01-01 00:00  \n",
       "1                       healthy  2019-01-01 00:05  \n",
       "2                       healthy  2019-01-01 00:10  \n",
       "3                       healthy  2019-01-01 00:15  \n",
       "4                       healthy  2019-01-01 00:20  \n",
       "...                         ...               ...  \n",
       "8636                    healthy  2019-01-30 23:40  \n",
       "8637                    healthy  2019-01-30 23:45  \n",
       "8638                    healthy  2019-01-30 23:50  \n",
       "8639                    healthy  2019-01-30 23:55  \n",
       "8640                    healthy  2019-01-31 00:00  \n",
       "\n",
       "[8641 rows x 7 columns]"
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     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = data.iloc[: , 1:]\n",
    "data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 3: Check the type of data in 'geometry.coordinates' column\n",
    "This is what happens when looking at the first row's 'geometry.coordinates'."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
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1.35412], [103.9883, 1.35625], [103.98832, 1.35746], [103.98832, 1.35997], [103.98836, 1.35999], [103.9884, 1.35569], [103.9884, 1.35759], [103.98841, 1.35981], [103.98842, 1.35595], [103.98843, 1.35578], [103.98846, 1.3603], [103.98848, 1.36036], [103.9885, 1.35589], [103.9885, 1.35924], [103.9885, 1.35982], [103.98851, 1.36038], [103.988513666667, 1.36006233333333], [103.98852, 1.36049], [103.98854, 1.35788], [103.988561333333, 1.35974666666667], [103.98857, 1.36055], [103.9885769, 1.35790303333333], [103.98858, 1.35792], [103.98859, 1.36061], [103.9886, 1.35805], [103.9886, 1.36075], [103.98861, 1.35798], [103.98862, 1.36099], [103.98863, 1.35801], [103.98867, 1.35961], [103.98867, 1.36086], [103.9887, 1.3608], [103.9887, 1.36125], [103.98873, 1.35588], [103.98873, 1.35619], [103.98873, 1.35645], [103.98873, 1.35956], [103.98873, 1.35985], [103.98875, 1.36097], [103.98877, 1.35721], [103.98877, 1.3584], [103.98879, 1.35941], [103.988792666667, 1.35836633333333], [103.988799666667, 1.35841333333333], [103.9888, 1.36097], [103.98882, 1.36115], [103.98883, 1.36108], [103.98883, 1.36116], [103.98885, 1.36102], [103.98885, 1.36131], [103.98888, 1.36111], [103.9889, 1.35938], [103.98891, 1.36122], [103.98892, 1.36087], [103.98892, 1.36087], [103.98893, 1.35915], [103.98893, 1.36104], [103.98897, 1.3589], [103.98897, 1.35902], [103.989107166667, 1.35609283333333], [103.989135333333, 1.36124983333333], [103.9892, 1.36112], [103.98925, 1.35791], [103.98926, 1.35793], [103.98928, 1.35713], [103.98928, 1.36123], [103.98929, 1.35648], [103.9894, 1.35664], [103.98942, 1.35819], [103.98943, 1.3566], [103.98944, 1.35665], [103.98948, 1.3614], [103.98949, 1.35754], [103.9895, 1.35779], [103.98953, 1.35777], [103.98955, 1.35782], [103.98957, 1.35656], [103.98958, 1.3566], [103.98958, 1.35704], [103.9896, 1.35792], [103.98961, 1.35664], [103.98961, 1.35798], [103.98962, 1.35793], [103.98964, 1.35718], [103.98965, 1.35748], [103.98967, 1.35742], [103.98967, 1.35765], [103.9897, 1.35807], [103.98971, 1.35763], [103.98973, 1.35764], [103.98976, 1.35752], [103.98977, 1.35755], [103.98978, 1.35743], [103.98978, 1.35761], [103.98978, 1.35772], [103.98978, 1.35772], [103.98978, 1.358], [103.9898, 1.35649], [103.9898, 1.357484], [103.9898, 1.3575], [103.9898, 1.36137], [103.989802333333, 1.35765966666667], [103.98982, 1.35747], [103.98982, 1.35785], [103.989827, 1.35808866666667], [103.989829666667, 1.35844116666667], [103.98983, 1.35744], [103.989838166667, 1.35754016666667], [103.98984, 1.35758], [103.98984, 1.35763], [103.98985, 1.35757], [103.98986, 1.35755], [103.989868933333, 1.35749566666667], [103.98988, 1.35752], [103.98988, 1.35755], [103.9899145, 1.357849], [103.98992, 1.35774], [103.989921333333, 1.357579], [103.98994, 1.35716], [103.99, 1.35846], [103.990033666667, 1.35820283333333], [103.99008, 1.35852], [103.990211166667, 1.35874166666667], [103.99024, 1.3572], [103.990297, 1.35757466666667], [103.990302, 1.35844766666667], [103.99034, 1.35684], [103.99035, 1.35825], [103.9903515, 1.35815766666667], [103.99038, 1.36022], [103.9904345, 1.357901], [103.9905, 1.35777], [103.99056, 1.35805], [103.99067, 1.39048], [103.9907, 1.35822], [103.990823066667, 1.35765035], [103.99098, 1.35935], [103.99121, 1.35897], [103.99152, 1.36017], [103.99941, 1.38597], [104.0025, 1.37594], [104.00412, 1.37531], [104.00534, 1.37304]]'"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Step 3: Take a look at the first row's geometry coordinates\n",
    "first_row_geo = data['geometry.coordinates'].iloc[0]\n",
    "first_row_geo"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 4: Convert string representation of list to an actual list (10 - 20 minutes)\n",
    "The lists are not really lists - they are actually strings! \n",
    "\n",
    "It is necessary to <strong>convert</strong> these string lists into actual lists in every single row."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       [[103.6267, 1.307992], [103.63226, 1.30884], [...\n",
       "1       [[103.63213, 1.31121], [103.63766, 1.30045], [...\n",
       "2       [[103.63145, 1.31125], [103.6376, 1.300248], [...\n",
       "3       [[103.63132, 1.3216], [103.63314, 1.32474], [1...\n",
       "4       [[103.628, 1.31262], [103.63714, 1.29914], [10...\n",
       "                              ...                        \n",
       "8636    [[103.62689, 1.31369], [103.62953, 1.30178], [...\n",
       "8637    [[103.615898833333, 1.27034783333333], [103.62...\n",
       "8638    [[103.624481, 1.30293333333333], [103.62871, 1...\n",
       "8639    [[103.62935, 1.2973], [103.62964, 1.29373], [1...\n",
       "8640    [[103.61469, 1.24656], [103.62067, 1.27544], [...\n",
       "Name: geometry.coordinates, Length: 8641, dtype: object"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Step 4: Turn the values in 'geometry.coordinates' column into actual lists\n",
    "from ast import literal_eval\n",
    "\n",
    "data['geometry.coordinates'] = data['geometry.coordinates'].apply(literal_eval)\n",
    "data['geometry.coordinates']"
   ]
  },
  {
   "attachments": {
    "MapDivision.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 5: Sort the coordinates into nine sectors\n",
    "After successfully converted the string into lists, the lists can be looped through to ascertain where the taxis are generally during a particular period of time. \n",
    "\n",
    "![MapDivision.png](attachment:MapDivision.png)\n",
    "\n",
    "Singapore is divided into nine parts, based on its longitude and latitude.\n",
    "\n",
    "A few things to take note of:\n",
    "1. Left limit - 103.6\n",
    "2. Right limit - 104.1\n",
    "3. Upper limit - 1.48\n",
    "4. Lower limit - 1.15\n",
    "\n",
    "Use the numbers at the edge of the map as boundaries when sorting the coordinates.\n",
    "\n",
    "Make sure the DataFrame has new columns that reflect the number of taxis available in different sectors throughout a day."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Step 5: Sort the coordinates into the nine sectors\n",
    "# declare nine empty lists\n",
    "sector_1 = []\n",
    "sector_2 = []\n",
    "sector_3 = []\n",
    "sector_4 = []\n",
    "sector_5 = []\n",
    "sector_6 = []\n",
    "sector_7 = []\n",
    "sector_8 = []\n",
    "sector_9 = []\n",
    "\n",
    "# start a for loop to loop through the list of coordinates in geometry.coordinates column\n",
    "for row in data['geometry.coordinates']:\n",
    "\n",
    "    # initialize nine variables with 0 to keep count of the available taxis\n",
    "    count_1 = 0\n",
    "    count_2 = 0\n",
    "    count_3 = 0\n",
    "    count_4 = 0\n",
    "    count_5 = 0\n",
    "    count_6 = 0\n",
    "    count_7 = 0\n",
    "    count_8 = 0\n",
    "    count_9 = 0\n",
    "    \n",
    "    # use another for loop to loop through the coordinate pairs in the list of coordinates\n",
    "    for pairs in row:\n",
    "    \n",
    "        # if the first half of the coordinates is less or equals than 103.77 and the second half is equals to or more than 1.37\n",
    "        c1 = pairs[0]\n",
    "        c2 = pairs[1]\n",
    "        \n",
    "        if c1 <= 103.77 and c2 >= 1.37:\n",
    "        \n",
    "            # increment the count for sector 1 by 1\n",
    "            count_1 += 1\n",
    "            \n",
    "        # else if the first half of the coordinates is less than 103.77 and the second half is equals to or more than 1.26 and is less than 1.37\n",
    "        elif c1 <= 103.77 and 1.26 <= c2 < 1.37:\n",
    "        \n",
    "            # increment the count for sector 4 by 1\n",
    "            count_4 += 1\n",
    "            \n",
    "        # keep going until done with all nine sectors\n",
    "        elif c1 <= 103.77 and c2 < 1.26:\n",
    "            count_7 += 1\n",
    "        \n",
    "        elif 103.77 <= c1 < 103.93 and c2 >= 1.37:\n",
    "            count_2 += 1\n",
    "            \n",
    "        elif 103.77 <= c1 < 103.93 and 1.26 <= c2 < 1.37:\n",
    "            count_5 += 1\n",
    "        \n",
    "        elif 103.77 <= c1 < 103.93 and c2 < 1.26:\n",
    "            count_8 += 1\n",
    "            \n",
    "        elif c1 >= 103.93 and c2 >= 1.37:\n",
    "            count_3 += 1\n",
    "        \n",
    "        elif c1 >= 103.93 and 1.26 <= c2 < 1.37:\n",
    "            count_6 += 1\n",
    "            \n",
    "        else:\n",
    "            count_9 += 1\n",
    "    \n",
    "    # append the counts of the free taxis in each in the nine lists\n",
    "    sector_1.append(count_1)\n",
    "    sector_2.append(count_2)\n",
    "    sector_3.append(count_3)\n",
    "    sector_4.append(count_4)\n",
    "    sector_5.append(count_5)\n",
    "    sector_6.append(count_6)\n",
    "    sector_7.append(count_7)\n",
    "    sector_8.append(count_8)\n",
    "    sector_9.append(count_9)\n",
    "\n",
    "# once all of the rows have been looped through, create new columns using the lists that have been created\n",
    "data['sector_1'] = sector_1\n",
    "data['sector_2'] = sector_2\n",
    "data['sector_3'] = sector_3\n",
    "data['sector_4'] = sector_4\n",
    "data['sector_5'] = sector_5\n",
    "data['sector_6'] = sector_6\n",
    "data['sector_7'] = sector_7\n",
    "data['sector_8'] = sector_8\n",
    "data['sector_9'] = sector_9"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>type</th>\n",
       "      <th>geometry.type</th>\n",
       "      <th>geometry.coordinates</th>\n",
       "      <th>properties.timestamp</th>\n",
       "      <th>properties.taxi_count</th>\n",
       "      <th>properties.api_info.status</th>\n",
       "      <th>time</th>\n",
       "      <th>sector_1</th>\n",
       "      <th>sector_2</th>\n",
       "      <th>sector_3</th>\n",
       "      <th>sector_4</th>\n",
       "      <th>sector_5</th>\n",
       "      <th>sector_6</th>\n",
       "      <th>sector_7</th>\n",
       "      <th>sector_8</th>\n",
       "      <th>sector_9</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Feature</td>\n",
       "      <td>MultiPoint</td>\n",
       "      <td>[[103.6267, 1.307992], [103.63226, 1.30884], [...</td>\n",
       "      <td>2018-12-31T23:59:44+08:00</td>\n",
       "      <td>5887</td>\n",
       "      <td>healthy</td>\n",
       "      <td>2019-01-01 00:00</td>\n",
       "      <td>167</td>\n",
       "      <td>979</td>\n",
       "      <td>81</td>\n",
       "      <td>409</td>\n",
       "      <td>3506</td>\n",
       "      <td>678</td>\n",
       "      <td>0</td>\n",
       "      <td>67</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Feature</td>\n",
       "      <td>MultiPoint</td>\n",
       "      <td>[[103.63213, 1.31121], [103.63766, 1.30045], [...</td>\n",
       "      <td>2019-01-01T00:04:44+08:00</td>\n",
       "      <td>4001</td>\n",
       "      <td>healthy</td>\n",
       "      <td>2019-01-01 00:05</td>\n",
       "      <td>102</td>\n",
       "      <td>496</td>\n",
       "      <td>39</td>\n",
       "      <td>251</td>\n",
       "      <td>2589</td>\n",
       "      <td>471</td>\n",
       "      <td>0</td>\n",
       "      <td>53</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Feature</td>\n",
       "      <td>MultiPoint</td>\n",
       "      <td>[[103.63145, 1.31125], [103.6376, 1.300248], [...</td>\n",
       "      <td>2019-01-01T00:09:44+08:00</td>\n",
       "      <td>5981</td>\n",
       "      <td>healthy</td>\n",
       "      <td>2019-01-01 00:10</td>\n",
       "      <td>157</td>\n",
       "      <td>1035</td>\n",
       "      <td>69</td>\n",
       "      <td>417</td>\n",
       "      <td>3546</td>\n",
       "      <td>680</td>\n",
       "      <td>0</td>\n",
       "      <td>77</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Feature</td>\n",
       "      <td>MultiPoint</td>\n",
       "      <td>[[103.63132, 1.3216], [103.63314, 1.32474], [1...</td>\n",
       "      <td>2019-01-01T00:14:45+08:00</td>\n",
       "      <td>5461</td>\n",
       "      <td>healthy</td>\n",
       "      <td>2019-01-01 00:15</td>\n",
       "      <td>158</td>\n",
       "      <td>920</td>\n",
       "      <td>68</td>\n",
       "      <td>375</td>\n",
       "      <td>3225</td>\n",
       "      <td>654</td>\n",
       "      <td>0</td>\n",
       "      <td>61</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Feature</td>\n",
       "      <td>MultiPoint</td>\n",
       "      <td>[[103.628, 1.31262], [103.63714, 1.29914], [10...</td>\n",
       "      <td>2019-01-01T00:19:45+08:00</td>\n",
       "      <td>5003</td>\n",
       "      <td>healthy</td>\n",
       "      <td>2019-01-01 00:20</td>\n",
       "      <td>136</td>\n",
       "      <td>900</td>\n",
       "      <td>62</td>\n",
       "      <td>358</td>\n",
       "      <td>2898</td>\n",
       "      <td>596</td>\n",
       "      <td>0</td>\n",
       "      <td>53</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>8636</th>\n",
       "      <td>Feature</td>\n",
       "      <td>MultiPoint</td>\n",
       "      <td>[[103.62689, 1.31369], [103.62953, 1.30178], [...</td>\n",
       "      <td>2019-01-30T23:39:40+08:00</td>\n",
       "      <td>5782</td>\n",
       "      <td>healthy</td>\n",
       "      <td>2019-01-30 23:40</td>\n",
       "      <td>233</td>\n",
       "      <td>1301</td>\n",
       "      <td>79</td>\n",
       "      <td>585</td>\n",
       "      <td>2591</td>\n",
       "      <td>986</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8637</th>\n",
       "      <td>Feature</td>\n",
       "      <td>MultiPoint</td>\n",
       "      <td>[[103.615898833333, 1.27034783333333], [103.62...</td>\n",
       "      <td>2019-01-30T23:44:40+08:00</td>\n",
       "      <td>5843</td>\n",
       "      <td>healthy</td>\n",
       "      <td>2019-01-30 23:45</td>\n",
       "      <td>220</td>\n",
       "      <td>1314</td>\n",
       "      <td>78</td>\n",
       "      <td>612</td>\n",
       "      <td>2645</td>\n",
       "      <td>961</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8638</th>\n",
       "      <td>Feature</td>\n",
       "      <td>MultiPoint</td>\n",
       "      <td>[[103.624481, 1.30293333333333], [103.62871, 1...</td>\n",
       "      <td>2019-01-30T23:49:40+08:00</td>\n",
       "      <td>5825</td>\n",
       "      <td>healthy</td>\n",
       "      <td>2019-01-30 23:50</td>\n",
       "      <td>214</td>\n",
       "      <td>1269</td>\n",
       "      <td>80</td>\n",
       "      <td>605</td>\n",
       "      <td>2684</td>\n",
       "      <td>960</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8639</th>\n",
       "      <td>Feature</td>\n",
       "      <td>MultiPoint</td>\n",
       "      <td>[[103.62935, 1.2973], [103.62964, 1.29373], [1...</td>\n",
       "      <td>2019-01-30T23:54:40+08:00</td>\n",
       "      <td>5783</td>\n",
       "      <td>healthy</td>\n",
       "      <td>2019-01-30 23:55</td>\n",
       "      <td>211</td>\n",
       "      <td>1228</td>\n",
       "      <td>88</td>\n",
       "      <td>590</td>\n",
       "      <td>2702</td>\n",
       "      <td>950</td>\n",
       "      <td>1</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8640</th>\n",
       "      <td>Feature</td>\n",
       "      <td>MultiPoint</td>\n",
       "      <td>[[103.61469, 1.24656], [103.62067, 1.27544], [...</td>\n",
       "      <td>2019-01-30T23:59:41+08:00</td>\n",
       "      <td>5848</td>\n",
       "      <td>healthy</td>\n",
       "      <td>2019-01-31 00:00</td>\n",
       "      <td>214</td>\n",
       "      <td>1203</td>\n",
       "      <td>90</td>\n",
       "      <td>615</td>\n",
       "      <td>2718</td>\n",
       "      <td>978</td>\n",
       "      <td>1</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8641 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         type geometry.type  \\\n",
       "0     Feature    MultiPoint   \n",
       "1     Feature    MultiPoint   \n",
       "2     Feature    MultiPoint   \n",
       "3     Feature    MultiPoint   \n",
       "4     Feature    MultiPoint   \n",
       "...       ...           ...   \n",
       "8636  Feature    MultiPoint   \n",
       "8637  Feature    MultiPoint   \n",
       "8638  Feature    MultiPoint   \n",
       "8639  Feature    MultiPoint   \n",
       "8640  Feature    MultiPoint   \n",
       "\n",
       "                                   geometry.coordinates  \\\n",
       "0     [[103.6267, 1.307992], [103.63226, 1.30884], [...   \n",
       "1     [[103.63213, 1.31121], [103.63766, 1.30045], [...   \n",
       "2     [[103.63145, 1.31125], [103.6376, 1.300248], [...   \n",
       "3     [[103.63132, 1.3216], [103.63314, 1.32474], [1...   \n",
       "4     [[103.628, 1.31262], [103.63714, 1.29914], [10...   \n",
       "...                                                 ...   \n",
       "8636  [[103.62689, 1.31369], [103.62953, 1.30178], [...   \n",
       "8637  [[103.615898833333, 1.27034783333333], [103.62...   \n",
       "8638  [[103.624481, 1.30293333333333], [103.62871, 1...   \n",
       "8639  [[103.62935, 1.2973], [103.62964, 1.29373], [1...   \n",
       "8640  [[103.61469, 1.24656], [103.62067, 1.27544], [...   \n",
       "\n",
       "           properties.timestamp  properties.taxi_count  \\\n",
       "0     2018-12-31T23:59:44+08:00                   5887   \n",
       "1     2019-01-01T00:04:44+08:00                   4001   \n",
       "2     2019-01-01T00:09:44+08:00                   5981   \n",
       "3     2019-01-01T00:14:45+08:00                   5461   \n",
       "4     2019-01-01T00:19:45+08:00                   5003   \n",
       "...                         ...                    ...   \n",
       "8636  2019-01-30T23:39:40+08:00                   5782   \n",
       "8637  2019-01-30T23:44:40+08:00                   5843   \n",
       "8638  2019-01-30T23:49:40+08:00                   5825   \n",
       "8639  2019-01-30T23:54:40+08:00                   5783   \n",
       "8640  2019-01-30T23:59:41+08:00                   5848   \n",
       "\n",
       "     properties.api_info.status              time  sector_1  sector_2  \\\n",
       "0                       healthy  2019-01-01 00:00       167       979   \n",
       "1                       healthy  2019-01-01 00:05       102       496   \n",
       "2                       healthy  2019-01-01 00:10       157      1035   \n",
       "3                       healthy  2019-01-01 00:15       158       920   \n",
       "4                       healthy  2019-01-01 00:20       136       900   \n",
       "...                         ...               ...       ...       ...   \n",
       "8636                    healthy  2019-01-30 23:40       233      1301   \n",
       "8637                    healthy  2019-01-30 23:45       220      1314   \n",
       "8638                    healthy  2019-01-30 23:50       214      1269   \n",
       "8639                    healthy  2019-01-30 23:55       211      1228   \n",
       "8640                    healthy  2019-01-31 00:00       214      1203   \n",
       "\n",
       "      sector_3  sector_4  sector_5  sector_6  sector_7  sector_8  sector_9  \n",
       "0           81       409      3506       678         0        67         0  \n",
       "1           39       251      2589       471         0        53         0  \n",
       "2           69       417      3546       680         0        77         0  \n",
       "3           68       375      3225       654         0        61         0  \n",
       "4           62       358      2898       596         0        53         0  \n",
       "...        ...       ...       ...       ...       ...       ...       ...  \n",
       "8636        79       585      2591       986         0         7         0  \n",
       "8637        78       612      2645       961         0        13         0  \n",
       "8638        80       605      2684       960         0        13         0  \n",
       "8639        88       590      2702       950         1        13         0  \n",
       "8640        90       615      2718       978         1        29         0  \n",
       "\n",
       "[8641 rows x 16 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 6: Turn the strings in 'time' column into a DataTime object\n",
    "Next, get additional information from the \"time\", i.e. day of week, minute, hour. \n",
    "\n",
    "Currently, the values in the 'time' column are still strings so the values have to be converted into to a DateTime object."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 8641 entries, 0 to 8640\n",
      "Data columns (total 16 columns):\n",
      " #   Column                      Non-Null Count  Dtype         \n",
      "---  ------                      --------------  -----         \n",
      " 0   type                        8641 non-null   object        \n",
      " 1   geometry.type               8641 non-null   object        \n",
      " 2   geometry.coordinates        8641 non-null   object        \n",
      " 3   properties.timestamp        8641 non-null   object        \n",
      " 4   properties.taxi_count       8641 non-null   int64         \n",
      " 5   properties.api_info.status  8641 non-null   object        \n",
      " 6   time                        8641 non-null   datetime64[ns]\n",
      " 7   sector_1                    8641 non-null   int64         \n",
      " 8   sector_2                    8641 non-null   int64         \n",
      " 9   sector_3                    8641 non-null   int64         \n",
      " 10  sector_4                    8641 non-null   int64         \n",
      " 11  sector_5                    8641 non-null   int64         \n",
      " 12  sector_6                    8641 non-null   int64         \n",
      " 13  sector_7                    8641 non-null   int64         \n",
      " 14  sector_8                    8641 non-null   int64         \n",
      " 15  sector_9                    8641 non-null   int64         \n",
      "dtypes: datetime64[ns](1), int64(10), object(5)\n",
      "memory usage: 1.1+ MB\n"
     ]
    }
   ],
   "source": [
    "# Step 6: convert the strings in \"time\" column into DateTime object\n",
    "data['time'] = data['time'].astype('datetime64[ns]')\n",
    "data.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 7: Get 'day_of_week', 'minute', and 'hour' from 'time' column\n",
    "Now that the column is a proper DateTime object, more information can be extracted.\n",
    "\n",
    "Three new columns can be created with:\n",
    "1. day_of_week - day of the week, i.e. 0 (Monday) - 6 (Sunday)\n",
    "2. minute - minute in day\n",
    "3. hour - hour in day"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
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       "      <th>sector_1</th>\n",
       "      <th>sector_2</th>\n",
       "      <th>sector_3</th>\n",
       "      <th>sector_4</th>\n",
       "      <th>sector_5</th>\n",
       "      <th>sector_6</th>\n",
       "      <th>sector_7</th>\n",
       "      <th>sector_8</th>\n",
       "      <th>sector_9</th>\n",
       "      <th>day_of_week</th>\n",
       "      <th>minute</th>\n",
       "      <th>hour</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Feature</td>\n",
       "      <td>MultiPoint</td>\n",
       "      <td>[[103.6267, 1.307992], [103.63226, 1.30884], [...</td>\n",
       "      <td>2018-12-31T23:59:44+08:00</td>\n",
       "      <td>5887</td>\n",
       "      <td>healthy</td>\n",
       "      <td>2019-01-01 00:00:00</td>\n",
       "      <td>167</td>\n",
       "      <td>979</td>\n",
       "      <td>81</td>\n",
       "      <td>409</td>\n",
       "      <td>3506</td>\n",
       "      <td>678</td>\n",
       "      <td>0</td>\n",
       "      <td>67</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Feature</td>\n",
       "      <td>MultiPoint</td>\n",
       "      <td>[[103.63213, 1.31121], [103.63766, 1.30045], [...</td>\n",
       "      <td>2019-01-01T00:04:44+08:00</td>\n",
       "      <td>4001</td>\n",
       "      <td>healthy</td>\n",
       "      <td>2019-01-01 00:05:00</td>\n",
       "      <td>102</td>\n",
       "      <td>496</td>\n",
       "      <td>39</td>\n",
       "      <td>251</td>\n",
       "      <td>2589</td>\n",
       "      <td>471</td>\n",
       "      <td>0</td>\n",
       "      <td>53</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Feature</td>\n",
       "      <td>MultiPoint</td>\n",
       "      <td>[[103.63145, 1.31125], [103.6376, 1.300248], [...</td>\n",
       "      <td>2019-01-01T00:09:44+08:00</td>\n",
       "      <td>5981</td>\n",
       "      <td>healthy</td>\n",
       "      <td>2019-01-01 00:10:00</td>\n",
       "      <td>157</td>\n",
       "      <td>1035</td>\n",
       "      <td>69</td>\n",
       "      <td>417</td>\n",
       "      <td>3546</td>\n",
       "      <td>680</td>\n",
       "      <td>0</td>\n",
       "      <td>77</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Feature</td>\n",
       "      <td>MultiPoint</td>\n",
       "      <td>[[103.63132, 1.3216], [103.63314, 1.32474], [1...</td>\n",
       "      <td>2019-01-01T00:14:45+08:00</td>\n",
       "      <td>5461</td>\n",
       "      <td>healthy</td>\n",
       "      <td>2019-01-01 00:15:00</td>\n",
       "      <td>158</td>\n",
       "      <td>920</td>\n",
       "      <td>68</td>\n",
       "      <td>375</td>\n",
       "      <td>3225</td>\n",
       "      <td>654</td>\n",
       "      <td>0</td>\n",
       "      <td>61</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Feature</td>\n",
       "      <td>MultiPoint</td>\n",
       "      <td>[[103.628, 1.31262], [103.63714, 1.29914], [10...</td>\n",
       "      <td>2019-01-01T00:19:45+08:00</td>\n",
       "      <td>5003</td>\n",
       "      <td>healthy</td>\n",
       "      <td>2019-01-01 00:20:00</td>\n",
       "      <td>136</td>\n",
       "      <td>900</td>\n",
       "      <td>62</td>\n",
       "      <td>358</td>\n",
       "      <td>2898</td>\n",
       "      <td>596</td>\n",
       "      <td>0</td>\n",
       "      <td>53</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8636</th>\n",
       "      <td>Feature</td>\n",
       "      <td>MultiPoint</td>\n",
       "      <td>[[103.62689, 1.31369], [103.62953, 1.30178], [...</td>\n",
       "      <td>2019-01-30T23:39:40+08:00</td>\n",
       "      <td>5782</td>\n",
       "      <td>healthy</td>\n",
       "      <td>2019-01-30 23:40:00</td>\n",
       "      <td>233</td>\n",
       "      <td>1301</td>\n",
       "      <td>79</td>\n",
       "      <td>585</td>\n",
       "      <td>2591</td>\n",
       "      <td>986</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>40</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8637</th>\n",
       "      <td>Feature</td>\n",
       "      <td>MultiPoint</td>\n",
       "      <td>[[103.615898833333, 1.27034783333333], [103.62...</td>\n",
       "      <td>2019-01-30T23:44:40+08:00</td>\n",
       "      <td>5843</td>\n",
       "      <td>healthy</td>\n",
       "      <td>2019-01-30 23:45:00</td>\n",
       "      <td>220</td>\n",
       "      <td>1314</td>\n",
       "      <td>78</td>\n",
       "      <td>612</td>\n",
       "      <td>2645</td>\n",
       "      <td>961</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>45</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8638</th>\n",
       "      <td>Feature</td>\n",
       "      <td>MultiPoint</td>\n",
       "      <td>[[103.624481, 1.30293333333333], [103.62871, 1...</td>\n",
       "      <td>2019-01-30T23:49:40+08:00</td>\n",
       "      <td>5825</td>\n",
       "      <td>healthy</td>\n",
       "      <td>2019-01-30 23:50:00</td>\n",
       "      <td>214</td>\n",
       "      <td>1269</td>\n",
       "      <td>80</td>\n",
       "      <td>605</td>\n",
       "      <td>2684</td>\n",
       "      <td>960</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>50</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8639</th>\n",
       "      <td>Feature</td>\n",
       "      <td>MultiPoint</td>\n",
       "      <td>[[103.62935, 1.2973], [103.62964, 1.29373], [1...</td>\n",
       "      <td>2019-01-30T23:54:40+08:00</td>\n",
       "      <td>5783</td>\n",
       "      <td>healthy</td>\n",
       "      <td>2019-01-30 23:55:00</td>\n",
       "      <td>211</td>\n",
       "      <td>1228</td>\n",
       "      <td>88</td>\n",
       "      <td>590</td>\n",
       "      <td>2702</td>\n",
       "      <td>950</td>\n",
       "      <td>1</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>55</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8640</th>\n",
       "      <td>Feature</td>\n",
       "      <td>MultiPoint</td>\n",
       "      <td>[[103.61469, 1.24656], [103.62067, 1.27544], [...</td>\n",
       "      <td>2019-01-30T23:59:41+08:00</td>\n",
       "      <td>5848</td>\n",
       "      <td>healthy</td>\n",
       "      <td>2019-01-31 00:00:00</td>\n",
       "      <td>214</td>\n",
       "      <td>1203</td>\n",
       "      <td>90</td>\n",
       "      <td>615</td>\n",
       "      <td>2718</td>\n",
       "      <td>978</td>\n",
       "      <td>1</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8641 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         type geometry.type  \\\n",
       "0     Feature    MultiPoint   \n",
       "1     Feature    MultiPoint   \n",
       "2     Feature    MultiPoint   \n",
       "3     Feature    MultiPoint   \n",
       "4     Feature    MultiPoint   \n",
       "...       ...           ...   \n",
       "8636  Feature    MultiPoint   \n",
       "8637  Feature    MultiPoint   \n",
       "8638  Feature    MultiPoint   \n",
       "8639  Feature    MultiPoint   \n",
       "8640  Feature    MultiPoint   \n",
       "\n",
       "                                   geometry.coordinates  \\\n",
       "0     [[103.6267, 1.307992], [103.63226, 1.30884], [...   \n",
       "1     [[103.63213, 1.31121], [103.63766, 1.30045], [...   \n",
       "2     [[103.63145, 1.31125], [103.6376, 1.300248], [...   \n",
       "3     [[103.63132, 1.3216], [103.63314, 1.32474], [1...   \n",
       "4     [[103.628, 1.31262], [103.63714, 1.29914], [10...   \n",
       "...                                                 ...   \n",
       "8636  [[103.62689, 1.31369], [103.62953, 1.30178], [...   \n",
       "8637  [[103.615898833333, 1.27034783333333], [103.62...   \n",
       "8638  [[103.624481, 1.30293333333333], [103.62871, 1...   \n",
       "8639  [[103.62935, 1.2973], [103.62964, 1.29373], [1...   \n",
       "8640  [[103.61469, 1.24656], [103.62067, 1.27544], [...   \n",
       "\n",
       "           properties.timestamp  properties.taxi_count  \\\n",
       "0     2018-12-31T23:59:44+08:00                   5887   \n",
       "1     2019-01-01T00:04:44+08:00                   4001   \n",
       "2     2019-01-01T00:09:44+08:00                   5981   \n",
       "3     2019-01-01T00:14:45+08:00                   5461   \n",
       "4     2019-01-01T00:19:45+08:00                   5003   \n",
       "...                         ...                    ...   \n",
       "8636  2019-01-30T23:39:40+08:00                   5782   \n",
       "8637  2019-01-30T23:44:40+08:00                   5843   \n",
       "8638  2019-01-30T23:49:40+08:00                   5825   \n",
       "8639  2019-01-30T23:54:40+08:00                   5783   \n",
       "8640  2019-01-30T23:59:41+08:00                   5848   \n",
       "\n",
       "     properties.api_info.status                time  sector_1  sector_2  \\\n",
       "0                       healthy 2019-01-01 00:00:00       167       979   \n",
       "1                       healthy 2019-01-01 00:05:00       102       496   \n",
       "2                       healthy 2019-01-01 00:10:00       157      1035   \n",
       "3                       healthy 2019-01-01 00:15:00       158       920   \n",
       "4                       healthy 2019-01-01 00:20:00       136       900   \n",
       "...                         ...                 ...       ...       ...   \n",
       "8636                    healthy 2019-01-30 23:40:00       233      1301   \n",
       "8637                    healthy 2019-01-30 23:45:00       220      1314   \n",
       "8638                    healthy 2019-01-30 23:50:00       214      1269   \n",
       "8639                    healthy 2019-01-30 23:55:00       211      1228   \n",
       "8640                    healthy 2019-01-31 00:00:00       214      1203   \n",
       "\n",
       "      sector_3  sector_4  sector_5  sector_6  sector_7  sector_8  sector_9  \\\n",
       "0           81       409      3506       678         0        67         0   \n",
       "1           39       251      2589       471         0        53         0   \n",
       "2           69       417      3546       680         0        77         0   \n",
       "3           68       375      3225       654         0        61         0   \n",
       "4           62       358      2898       596         0        53         0   \n",
       "...        ...       ...       ...       ...       ...       ...       ...   \n",
       "8636        79       585      2591       986         0         7         0   \n",
       "8637        78       612      2645       961         0        13         0   \n",
       "8638        80       605      2684       960         0        13         0   \n",
       "8639        88       590      2702       950         1        13         0   \n",
       "8640        90       615      2718       978         1        29         0   \n",
       "\n",
       "      day_of_week  minute  hour  \n",
       "0               1       0     0  \n",
       "1               1       5     0  \n",
       "2               1      10     0  \n",
       "3               1      15     0  \n",
       "4               1      20     0  \n",
       "...           ...     ...   ...  \n",
       "8636            5      40    23  \n",
       "8637            5      45    23  \n",
       "8638            5      50    23  \n",
       "8639            5      55    23  \n",
       "8640            5       0     0  \n",
       "\n",
       "[8641 rows x 19 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Step 7: Get day of week, minute, hour from 'time' column\n",
    "data['day_of_week'] = data['time'].dt.isocalendar().week\n",
    "data['minute'] = data['time'].dt.minute\n",
    "data['hour'] = data['time'].dt.hour\n",
    "data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 8: Get the only parts needed\n",
    "Having more and more columns, it is important to take the only ones needed. The raw coordinates can be ditched, and keep only the numbers of the taxis available in the nine sectors that have been defined. \n",
    "\n",
    "The DataFrame should only have the following <strong>(in this order)</strong>:\n",
    "1. the time at which the API was called\n",
    "2. taxi count\n",
    "3. day_of_week\n",
    "4. minute\n",
    "5. hour\n",
    "6. taxis available for sectors 1-9"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>2019-01-30 23:40:00</td>\n",
       "      <td>5782</td>\n",
       "      <td>5</td>\n",
       "      <td>40</td>\n",
       "      <td>23</td>\n",
       "      <td>233</td>\n",
       "      <td>1301</td>\n",
       "      <td>79</td>\n",
       "      <td>585</td>\n",
       "      <td>2591</td>\n",
       "      <td>986</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8637</th>\n",
       "      <td>2019-01-30 23:45:00</td>\n",
       "      <td>5843</td>\n",
       "      <td>5</td>\n",
       "      <td>45</td>\n",
       "      <td>23</td>\n",
       "      <td>220</td>\n",
       "      <td>1314</td>\n",
       "      <td>78</td>\n",
       "      <td>612</td>\n",
       "      <td>2645</td>\n",
       "      <td>961</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8638</th>\n",
       "      <td>2019-01-30 23:50:00</td>\n",
       "      <td>5825</td>\n",
       "      <td>5</td>\n",
       "      <td>50</td>\n",
       "      <td>23</td>\n",
       "      <td>214</td>\n",
       "      <td>1269</td>\n",
       "      <td>80</td>\n",
       "      <td>605</td>\n",
       "      <td>2684</td>\n",
       "      <td>960</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8639</th>\n",
       "      <td>2019-01-30 23:55:00</td>\n",
       "      <td>5783</td>\n",
       "      <td>5</td>\n",
       "      <td>55</td>\n",
       "      <td>23</td>\n",
       "      <td>211</td>\n",
       "      <td>1228</td>\n",
       "      <td>88</td>\n",
       "      <td>590</td>\n",
       "      <td>2702</td>\n",
       "      <td>950</td>\n",
       "      <td>1</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8640</th>\n",
       "      <td>2019-01-31 00:00:00</td>\n",
       "      <td>5848</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>214</td>\n",
       "      <td>1203</td>\n",
       "      <td>90</td>\n",
       "      <td>615</td>\n",
       "      <td>2718</td>\n",
       "      <td>978</td>\n",
       "      <td>1</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8641 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                    time  properties.taxi_count  day_of_week  minute  hour  \\\n",
       "0    2019-01-01 00:00:00                   5887            1       0     0   \n",
       "1    2019-01-01 00:05:00                   4001            1       5     0   \n",
       "2    2019-01-01 00:10:00                   5981            1      10     0   \n",
       "3    2019-01-01 00:15:00                   5461            1      15     0   \n",
       "4    2019-01-01 00:20:00                   5003            1      20     0   \n",
       "...                  ...                    ...          ...     ...   ...   \n",
       "8636 2019-01-30 23:40:00                   5782            5      40    23   \n",
       "8637 2019-01-30 23:45:00                   5843            5      45    23   \n",
       "8638 2019-01-30 23:50:00                   5825            5      50    23   \n",
       "8639 2019-01-30 23:55:00                   5783            5      55    23   \n",
       "8640 2019-01-31 00:00:00                   5848            5       0     0   \n",
       "\n",
       "      sector_1  sector_2  sector_3  sector_4  sector_5  sector_6  sector_7  \\\n",
       "0          167       979        81       409      3506       678         0   \n",
       "1          102       496        39       251      2589       471         0   \n",
       "2          157      1035        69       417      3546       680         0   \n",
       "3          158       920        68       375      3225       654         0   \n",
       "4          136       900        62       358      2898       596         0   \n",
       "...        ...       ...       ...       ...       ...       ...       ...   \n",
       "8636       233      1301        79       585      2591       986         0   \n",
       "8637       220      1314        78       612      2645       961         0   \n",
       "8638       214      1269        80       605      2684       960         0   \n",
       "8639       211      1228        88       590      2702       950         1   \n",
       "8640       214      1203        90       615      2718       978         1   \n",
       "\n",
       "      sector_8  sector_9  \n",
       "0           67         0  \n",
       "1           53         0  \n",
       "2           77         0  \n",
       "3           61         0  \n",
       "4           53         0  \n",
       "...        ...       ...  \n",
       "8636         7         0  \n",
       "8637        13         0  \n",
       "8638        13         0  \n",
       "8639        13         0  \n",
       "8640        29         0  \n",
       "\n",
       "[8641 rows x 14 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Step 8: Select only the necessary columns for the DataFrame\n",
    "ordered_data = data[['time', 'properties.taxi_count', 'day_of_week', 'minute', 'hour', \n",
    "                     'sector_1', 'sector_2', 'sector_3', 'sector_4', 'sector_5', \n",
    "                     'sector_6', 'sector_7', 'sector_8', 'sector_9']]\n",
    "ordered_data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Step 9: Export DataFrame as CSV\n",
    "Well done! Time to export DataFrame as a CSV for Part III. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Step 9: Export the DataFrame from Step 8 as CSV\n",
    "ordered_data.to_csv ('Ordered_DataFrame.csv')"
   ]
  }
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