Type_The_Bible_v3.ipynb

{
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   "cell_type": "markdown",
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   "source": [
    "# Type Through The Bible\n",
    "\n",
    "By Kenneth Burchfiel\n",
    "\n",
    "Code is released under the MIT license; Bible verses are from the Web English Bible (Catholic Edition)* and are in the public domain.\n",
    "\n",
    "\\* Genesis was not found within the original WEB Catholic Edition folder, so I copied in files from another Web English Bible translation instead. I imagine, but am not certain, that these files are the same as the actual Catholic Edition Genesis files."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## More documentation to come!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next steps: (Not necessarily in order of importance)\n",
    "\n",
    "* See if there's a way to alert the user (perhaps via a sound?) when a character is typed incorrectly.\n",
    "* Improve chart formatting (e.g. add titles, legend names, etc.)\n",
    "* Add in more documentation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "pd.set_option('display.max_columns', 1000)\n",
    "import time\n",
    "import plotly.express as px\n",
    "from getch import getch # Installed this library using pip install py-getch, not\n",
    "# pip install getch. See https://github.com/joeyespo/py-getch\n",
    "import numpy as np\n",
    "from datetime import datetime, date, timezone # Based on \n",
    "# https://docs.python.org/3/library/datetime.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import textwrap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This\n",
      "is a\n",
      "test.\n",
      "This\n",
      "is a\n",
      "test.\n",
      "This\n",
      "is a\n",
      "test.\n"
     ]
    }
   ],
   "source": [
    "print(textwrap.fill(\"This is a test. This is a test. This is a test.\", width = 5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [],
   "source": [
    "from colorama import just_fix_windows_console, Fore, Back, Style\n",
    "# From https://github.com/tartley/colorama/blob/master/demos/demo01.py\n",
    "just_fix_windows_console() # From https://github.com/tartley/colorama/blob/master/demos/demo01.py\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "extra_analyses = False"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Checking whether the program is currently running on a Jupyter notebook:\n",
    "\n",
    "(The program normally uses getch() to begin typing tests; however, I wasn't able to enter input after getch() got called within a Jupyter notebook and thus couldn't begin a typing test in that situation. Therefore, the program will use input() instead of getch() to start tests when running within a notebook.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# The following method of determining whether the code is running\n",
    "# within a Jupyter notebook is based on Gustavo Bezerra's response\n",
    "# at https://stackoverflow.com/a/39662359/13097194 . I found that\n",
    "# just calling get_ipython() was sufficient, at least on Windows and within\n",
    "# Visual Studio Code; his answer is more complex.\n",
    "\n",
    "try: \n",
    "    get_ipython()\n",
    "    run_on_notebook = True\n",
    "except:\n",
    "    run_on_notebook = False\n",
    "\n",
    "# print(run_on_notebook)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
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       "       Book_Order Book_Name  Chapter_Name Book_and_Chapter  Chapter_Order  \\\n",
       "0               1       GEN             1            GEN 1              1   \n",
       "1               1       GEN             1            GEN 1              1   \n",
       "2               1       GEN             1            GEN 1              1   \n",
       "3               1       GEN             1            GEN 1              1   \n",
       "4               1       GEN             1            GEN 1              1   \n",
       "...           ...       ...           ...              ...            ...   \n",
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       "\n",
       "       Verse_#  Verse_Order  \\\n",
       "0            1            1   \n",
       "1            2            2   \n",
       "2            3            3   \n",
       "3            4            4   \n",
       "4            5            5   \n",
       "...        ...          ...   \n",
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       "\n",
       "                                                   Verse  Characters  Typed  \\\n",
       "0      In the beginning, God created the heavens and ...          56      1   \n",
       "1      The earth was formless and empty. Darkness was...         135      1   \n",
       "2      God said, \"Let there be light,\" and there was ...          52      1   \n",
       "3      God saw the light, and saw that it was good. G...          85      1   \n",
       "4      God called the light \"day\", and the darkness h...         119      1   \n",
       "...                                                  ...         ...    ...   \n",
       "35374  The Spirit and the bride say, \"Come!\" He who h...         160      0   \n",
       "35375  I testify to everyone who hears the words of t...         159      0   \n",
       "35376  If anyone takes away from the words of the boo...         174      0   \n",
       "35377  He who testifies these things says, \"Yes, I am...          89      0   \n",
       "35378  The grace of the Lord Jesus Christ be with all...          64      1   \n",
       "\n",
       "       Tests  Fastest_WPM  Characters_Typed  Total_Characters_Typed  Count  \n",
       "0          8   193.251509                56                     448      1  \n",
       "1          2   140.461827               135                     270      1  \n",
       "2          1    84.008493                52                      52      1  \n",
       "3          1   123.198378                85                      85      1  \n",
       "4          1   135.664272               119                     119      1  \n",
       "...      ...          ...               ...                     ...    ...  \n",
       "35374      0          NaN                 0                       0      1  \n",
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       "35376      0          NaN                 0                       0      1  \n",
       "35377      0          NaN                 0                       0      1  \n",
       "35378      1   161.093106                64                      64      1  \n",
       "\n",
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     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_Bible = pd.read_csv('WEB_Catholic_Version_for_game_updated.csv')\n",
    "df_Bible"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
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       "      <th>3</th>\n",
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       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2023-10-24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.698121e+09</td>\n",
       "      <td>2023-10-24T00:21:24.331389</td>\n",
       "      <td>2023-10-24T04:21:24.331389+00:00</td>\n",
       "      <td>56</td>\n",
       "      <td>4.878704</td>\n",
       "      <td>11.478458</td>\n",
       "      <td>137.741497</td>\n",
       "      <td>GEN</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>In the beginning, God created the heavens and ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>124.569</td>\n",
       "      <td>2023</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2023-10-24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1.698121e+09</td>\n",
       "      <td>2023-10-24T00:22:03.749152</td>\n",
       "      <td>2023-10-24T04:22:03.749152+00:00</td>\n",
       "      <td>135</td>\n",
       "      <td>19.078445</td>\n",
       "      <td>7.076048</td>\n",
       "      <td>84.912580</td>\n",
       "      <td>GEN</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>The earth was formless and empty. Darkness was...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>116.638</td>\n",
       "      <td>2023</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2023-10-24</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>713</th>\n",
       "      <td>1.699312e+09</td>\n",
       "      <td>2023-11-06T18:08:59.504052</td>\n",
       "      <td>2023-11-06T23:08:59.504052+00:00</td>\n",
       "      <td>62</td>\n",
       "      <td>10.138869</td>\n",
       "      <td>6.115081</td>\n",
       "      <td>73.380967</td>\n",
       "      <td>GEN</td>\n",
       "      <td>22</td>\n",
       "      <td>563</td>\n",
       "      <td>Yahweh's angel called to Abraham a second time...</td>\n",
       "      <td>15.0</td>\n",
       "      <td>124.819574</td>\n",
       "      <td>129.016002</td>\n",
       "      <td>NaN</td>\n",
       "      <td>132.602</td>\n",
       "      <td>2023</td>\n",
       "      <td>11</td>\n",
       "      <td>18</td>\n",
       "      <td>1</td>\n",
       "      <td>2023-11-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>714</th>\n",
       "      <td>1.699312e+09</td>\n",
       "      <td>2023-11-06T18:09:10.609775</td>\n",
       "      <td>2023-11-06T23:09:10.609775+00:00</td>\n",
       "      <td>131</td>\n",
       "      <td>12.816818</td>\n",
       "      <td>10.220946</td>\n",
       "      <td>122.651348</td>\n",
       "      <td>GEN</td>\n",
       "      <td>22</td>\n",
       "      <td>564</td>\n",
       "      <td>and said, \"'I have sworn by myself,' says Yahw...</td>\n",
       "      <td>16.0</td>\n",
       "      <td>123.880578</td>\n",
       "      <td>128.701799</td>\n",
       "      <td>NaN</td>\n",
       "      <td>132.588</td>\n",
       "      <td>2023</td>\n",
       "      <td>11</td>\n",
       "      <td>18</td>\n",
       "      <td>1</td>\n",
       "      <td>2023-11-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>715</th>\n",
       "      <td>1.699312e+09</td>\n",
       "      <td>2023-11-06T18:09:25.440950</td>\n",
       "      <td>2023-11-06T23:09:25.440950+00:00</td>\n",
       "      <td>201</td>\n",
       "      <td>15.170887</td>\n",
       "      <td>13.249061</td>\n",
       "      <td>158.988731</td>\n",
       "      <td>GEN</td>\n",
       "      <td>22</td>\n",
       "      <td>565</td>\n",
       "      <td>that I will bless you greatly, and I will mult...</td>\n",
       "      <td>17.0</td>\n",
       "      <td>126.291000</td>\n",
       "      <td>129.254139</td>\n",
       "      <td>NaN</td>\n",
       "      <td>132.625</td>\n",
       "      <td>2023</td>\n",
       "      <td>11</td>\n",
       "      <td>18</td>\n",
       "      <td>1</td>\n",
       "      <td>2023-11-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>716</th>\n",
       "      <td>1.699312e+09</td>\n",
       "      <td>2023-11-06T18:09:50.607697</td>\n",
       "      <td>2023-11-06T23:09:50.607697+00:00</td>\n",
       "      <td>99</td>\n",
       "      <td>8.920846</td>\n",
       "      <td>11.097603</td>\n",
       "      <td>133.171233</td>\n",
       "      <td>GEN</td>\n",
       "      <td>22</td>\n",
       "      <td>566</td>\n",
       "      <td>All the nations of the earth will be blessed b...</td>\n",
       "      <td>18.0</td>\n",
       "      <td>126.220336</td>\n",
       "      <td>129.166090</td>\n",
       "      <td>NaN</td>\n",
       "      <td>132.625</td>\n",
       "      <td>2023</td>\n",
       "      <td>11</td>\n",
       "      <td>18</td>\n",
       "      <td>1</td>\n",
       "      <td>2023-11-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>717</th>\n",
       "      <td>1.699312e+09</td>\n",
       "      <td>2023-11-06T18:10:01.007281</td>\n",
       "      <td>2023-11-06T23:10:01.007281+00:00</td>\n",
       "      <td>114</td>\n",
       "      <td>9.953331</td>\n",
       "      <td>11.453452</td>\n",
       "      <td>137.441419</td>\n",
       "      <td>GEN</td>\n",
       "      <td>22</td>\n",
       "      <td>567</td>\n",
       "      <td>So Abraham returned to his young men, and they...</td>\n",
       "      <td>19.0</td>\n",
       "      <td>125.569146</td>\n",
       "      <td>129.260829</td>\n",
       "      <td>NaN</td>\n",
       "      <td>132.632</td>\n",
       "      <td>2023</td>\n",
       "      <td>11</td>\n",
       "      <td>18</td>\n",
       "      <td>1</td>\n",
       "      <td>2023-11-06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>717 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Unix_Start_Time            Local_Start_Time  \\\n",
       "Test_Number                                                \n",
       "1               1.698121e+09  2023-10-24T00:17:38.017017   \n",
       "2               1.698121e+09  2023-10-24T00:18:06.165502   \n",
       "3               1.698121e+09  2023-10-24T00:18:24.381290   \n",
       "4               1.698121e+09  2023-10-24T00:21:24.331389   \n",
       "5               1.698121e+09  2023-10-24T00:22:03.749152   \n",
       "...                      ...                         ...   \n",
       "713             1.699312e+09  2023-11-06T18:08:59.504052   \n",
       "714             1.699312e+09  2023-11-06T18:09:10.609775   \n",
       "715             1.699312e+09  2023-11-06T18:09:25.440950   \n",
       "716             1.699312e+09  2023-11-06T18:09:50.607697   \n",
       "717             1.699312e+09  2023-11-06T18:10:01.007281   \n",
       "\n",
       "                               UTC_Start_Time  Characters    Seconds  \\\n",
       "Test_Number                                                            \n",
       "1            2023-10-24T04:17:38.017017+00:00          56   6.571754   \n",
       "2            2023-10-24T04:18:06.165502+00:00         135  13.997536   \n",
       "3            2023-10-24T04:18:24.381290+00:00          56   4.714291   \n",
       "4            2023-10-24T04:21:24.331389+00:00          56   4.878704   \n",
       "5            2023-10-24T04:22:03.749152+00:00         135  19.078445   \n",
       "...                                       ...         ...        ...   \n",
       "713          2023-11-06T23:08:59.504052+00:00          62  10.138869   \n",
       "714          2023-11-06T23:09:10.609775+00:00         131  12.816818   \n",
       "715          2023-11-06T23:09:25.440950+00:00         201  15.170887   \n",
       "716          2023-11-06T23:09:50.607697+00:00          99   8.920846   \n",
       "717          2023-11-06T23:10:01.007281+00:00         114   9.953331   \n",
       "\n",
       "                   CPS         WPM Book  Chapter  Verse_Order  \\\n",
       "Test_Number                                                     \n",
       "1             8.521317  102.255799  GEN        1            1   \n",
       "2             9.644554  115.734653  GEN        1            2   \n",
       "3            11.878774  142.545292  GEN        1            1   \n",
       "4            11.478458  137.741497  GEN        1            1   \n",
       "5             7.076048   84.912580  GEN        1            2   \n",
       "...                ...         ...  ...      ...          ...   \n",
       "713           6.115081   73.380967  GEN       22          563   \n",
       "714          10.220946  122.651348  GEN       22          564   \n",
       "715          13.249061  158.988731  GEN       22          565   \n",
       "716          11.097603  133.171233  GEN       22          566   \n",
       "717          11.453452  137.441419  GEN       22          567   \n",
       "\n",
       "                                                         Verse  Verse #  \\\n",
       "Test_Number                                                               \n",
       "1            In the beginning, God created the heavens and ...      NaN   \n",
       "2            The earth was formless and empty. Darkness was...      NaN   \n",
       "3            In the beginning, God created the heavens and ...      NaN   \n",
       "4            In the beginning, God created the heavens and ...      NaN   \n",
       "5            The earth was formless and empty. Darkness was...      NaN   \n",
       "...                                                        ...      ...   \n",
       "713          Yahweh's angel called to Abraham a second time...     15.0   \n",
       "714          and said, \"'I have sworn by myself,' says Yahw...     16.0   \n",
       "715          that I will bless you greatly, and I will mult...     17.0   \n",
       "716          All the nations of the earth will be blessed b...     18.0   \n",
       "717          So Abraham returned to his young men, and they...     19.0   \n",
       "\n",
       "             Last 10 Avg  Last 100 Avg  Last 1000 Avg  cumulative_avg  \\\n",
       "Test_Number                                                             \n",
       "1                    NaN           NaN            NaN         102.256   \n",
       "2                    NaN           NaN            NaN         108.995   \n",
       "3                    NaN           NaN            NaN         120.179   \n",
       "4                    NaN           NaN            NaN         124.569   \n",
       "5                    NaN           NaN            NaN         116.638   \n",
       "...                  ...           ...            ...             ...   \n",
       "713           124.819574    129.016002            NaN         132.602   \n",
       "714           123.880578    128.701799            NaN         132.588   \n",
       "715           126.291000    129.254139            NaN         132.625   \n",
       "716           126.220336    129.166090            NaN         132.625   \n",
       "717           125.569146    129.260829            NaN         132.632   \n",
       "\n",
       "             Local_Year  Local_Month  Local_Hour  Count  Local_Date  \n",
       "Test_Number                                                          \n",
       "1                  2023           10           0      1  2023-10-24  \n",
       "2                  2023           10           0      1  2023-10-24  \n",
       "3                  2023           10           0      1  2023-10-24  \n",
       "4                  2023           10           0      1  2023-10-24  \n",
       "5                  2023           10           0      1  2023-10-24  \n",
       "...                 ...          ...         ...    ...         ...  \n",
       "713                2023           11          18      1  2023-11-06  \n",
       "714                2023           11          18      1  2023-11-06  \n",
       "715                2023           11          18      1  2023-11-06  \n",
       "716                2023           11          18      1  2023-11-06  \n",
       "717                2023           11          18      1  2023-11-06  \n",
       "\n",
       "[717 rows x 21 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_results = pd.read_csv('results.csv', index_col='Test_Number')\n",
    "df_results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# If you ever need to drop a particular result,\n",
    "# you can do so as follows:\n",
    "# df_results.drop(17, inplace = True)\n",
    "# df_results.to_csv('results.csv') # We want to preserve the index so as not\n",
    "# to lose our 'Test_Number' values\n",
    "# df_results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.050158023834228516, 50158)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Creating an RNG seed:\n",
    "# In order to make the RNG values a bit more random, the following code will\n",
    "# derive the RNG seed from the decimal component of the current timestamp.\n",
    "# This seed will change 1 million times each second.\n",
    "\n",
    "# Using the decimal component of time.time() to select an RNG seed:\n",
    "current_time = time.time()\n",
    "decimal_component = current_time - int(current_time) # This \n",
    "# line retrieves the decimal component of current_time. int() is used instead\n",
    "# of np.round() so that the code won't ever round current_time up prior\n",
    "# to the subtraction operation, which would return a different value.\n",
    "# I don't think that converting current_time to an integer (e.g. via\n",
    "# np.int64(current_time)) is necessary, as int() appears to handle at least \n",
    "# some integers larger than 32 bits in size just fine.\n",
    "decimal_component\n",
    "random_seed = round(decimal_component * 1000000)\n",
    "decimal_component, random_seed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "rng = np.random.default_rng(random_seed) # Based on\n",
    "# https://numpy.org/doc/stable/reference/random/index.html?highlight=random#module-numpy.random"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Book_Order</th>\n",
       "      <th>Book_Name</th>\n",
       "      <th>Chapter_Name</th>\n",
       "      <th>Book_and_Chapter</th>\n",
       "      <th>Chapter_Order</th>\n",
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       "      <th>Characters</th>\n",
       "      <th>Typed</th>\n",
       "      <th>Tests</th>\n",
       "      <th>Fastest_WPM</th>\n",
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       "      <th>Total_Characters_Typed</th>\n",
       "      <th>Count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>GEN</td>\n",
       "      <td>1</td>\n",
       "      <td>GEN 1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>In the beginning, God created the heavens and ...</td>\n",
       "      <td>56</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>193.251509</td>\n",
       "      <td>56</td>\n",
       "      <td>448</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>GEN</td>\n",
       "      <td>1</td>\n",
       "      <td>GEN 1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>The earth was formless and empty. Darkness was...</td>\n",
       "      <td>135</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>140.461827</td>\n",
       "      <td>135</td>\n",
       "      <td>270</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>GEN</td>\n",
       "      <td>1</td>\n",
       "      <td>GEN 1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>God said, \"Let there be light,\" and there was ...</td>\n",
       "      <td>52</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>84.008493</td>\n",
       "      <td>52</td>\n",
       "      <td>52</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>GEN</td>\n",
       "      <td>1</td>\n",
       "      <td>GEN 1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>God saw the light, and saw that it was good. G...</td>\n",
       "      <td>85</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>123.198378</td>\n",
       "      <td>85</td>\n",
       "      <td>85</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>GEN</td>\n",
       "      <td>1</td>\n",
       "      <td>GEN 1</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>God called the light \"day\", and the darkness h...</td>\n",
       "      <td>119</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>135.664272</td>\n",
       "      <td>119</td>\n",
       "      <td>119</td>\n",
       "      <td>1</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35374</th>\n",
       "      <td>95</td>\n",
       "      <td>REV</td>\n",
       "      <td>22</td>\n",
       "      <td>REV 22</td>\n",
       "      <td>1328</td>\n",
       "      <td>17</td>\n",
       "      <td>35375</td>\n",
       "      <td>The Spirit and the bride say, \"Come!\" He who h...</td>\n",
       "      <td>160</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35375</th>\n",
       "      <td>95</td>\n",
       "      <td>REV</td>\n",
       "      <td>22</td>\n",
       "      <td>REV 22</td>\n",
       "      <td>1328</td>\n",
       "      <td>18</td>\n",
       "      <td>35376</td>\n",
       "      <td>I testify to everyone who hears the words of t...</td>\n",
       "      <td>159</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35376</th>\n",
       "      <td>95</td>\n",
       "      <td>REV</td>\n",
       "      <td>22</td>\n",
       "      <td>REV 22</td>\n",
       "      <td>1328</td>\n",
       "      <td>19</td>\n",
       "      <td>35377</td>\n",
       "      <td>If anyone takes away from the words of the boo...</td>\n",
       "      <td>174</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35377</th>\n",
       "      <td>95</td>\n",
       "      <td>REV</td>\n",
       "      <td>22</td>\n",
       "      <td>REV 22</td>\n",
       "      <td>1328</td>\n",
       "      <td>20</td>\n",
       "      <td>35378</td>\n",
       "      <td>He who testifies these things says, \"Yes, I am...</td>\n",
       "      <td>89</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35378</th>\n",
       "      <td>95</td>\n",
       "      <td>REV</td>\n",
       "      <td>22</td>\n",
       "      <td>REV 22</td>\n",
       "      <td>1328</td>\n",
       "      <td>21</td>\n",
       "      <td>35379</td>\n",
       "      <td>The grace of the Lord Jesus Christ be with all...</td>\n",
       "      <td>64</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>161.093106</td>\n",
       "      <td>64</td>\n",
       "      <td>64</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>35379 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Book_Order Book_Name  Chapter_Name Book_and_Chapter  Chapter_Order  \\\n",
       "0               1       GEN             1            GEN 1              1   \n",
       "1               1       GEN             1            GEN 1              1   \n",
       "2               1       GEN             1            GEN 1              1   \n",
       "3               1       GEN             1            GEN 1              1   \n",
       "4               1       GEN             1            GEN 1              1   \n",
       "...           ...       ...           ...              ...            ...   \n",
       "35374          95       REV            22           REV 22           1328   \n",
       "35375          95       REV            22           REV 22           1328   \n",
       "35376          95       REV            22           REV 22           1328   \n",
       "35377          95       REV            22           REV 22           1328   \n",
       "35378          95       REV            22           REV 22           1328   \n",
       "\n",
       "       Verse_#  Verse_Order  \\\n",
       "0            1            1   \n",
       "1            2            2   \n",
       "2            3            3   \n",
       "3            4            4   \n",
       "4            5            5   \n",
       "...        ...          ...   \n",
       "35374       17        35375   \n",
       "35375       18        35376   \n",
       "35376       19        35377   \n",
       "35377       20        35378   \n",
       "35378       21        35379   \n",
       "\n",
       "                                                   Verse  Characters  Typed  \\\n",
       "0      In the beginning, God created the heavens and ...          56      1   \n",
       "1      The earth was formless and empty. Darkness was...         135      1   \n",
       "2      God said, \"Let there be light,\" and there was ...          52      1   \n",
       "3      God saw the light, and saw that it was good. G...          85      1   \n",
       "4      God called the light \"day\", and the darkness h...         119      1   \n",
       "...                                                  ...         ...    ...   \n",
       "35374  The Spirit and the bride say, \"Come!\" He who h...         160      0   \n",
       "35375  I testify to everyone who hears the words of t...         159      0   \n",
       "35376  If anyone takes away from the words of the boo...         174      0   \n",
       "35377  He who testifies these things says, \"Yes, I am...          89      0   \n",
       "35378  The grace of the Lord Jesus Christ be with all...          64      1   \n",
       "\n",
       "       Tests  Fastest_WPM  Characters_Typed  Total_Characters_Typed  Count  \n",
       "0          8   193.251509                56                     448      1  \n",
       "1          2   140.461827               135                     270      1  \n",
       "2          1    84.008493                52                      52      1  \n",
       "3          1   123.198378                85                      85      1  \n",
       "4          1   135.664272               119                     119      1  \n",
       "...      ...          ...               ...                     ...    ...  \n",
       "35374      0          NaN                 0                       0      1  \n",
       "35375      0          NaN                 0                       0      1  \n",
       "35376      0          NaN                 0                       0      1  \n",
       "35377      0          NaN                 0                       0      1  \n",
       "35378      1   161.093106                64                      64      1  \n",
       "\n",
       "[35379 rows x 15 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_Bible"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[This fantastic answer](https://stackoverflow.com/a/23294659/13097194) by Kevin at Stack Overflow proved helpful in implementing user validation code within this program. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "def select_verse():\n",
    "    print(\"Select a verse to type! Enter 0 to receive a random verse\\n\\\n",
    "or enter a verse number (see 'Verse_Order column of\\n\\\n",
    "the WEB_Catholic_Version.csv spreadsheet for a list of numbers to enter\\n\\\n",
    "to select a specific verse.\\n\\\n",
    "You can also enter -2 to receive a random verse that you haven't yet typed\\n\\\n",
    "or -3 to choose the first Bible verse that hasn't yet been typed.\")\n",
    "    while True:\n",
    "        try:\n",
    "            response = int(input())\n",
    "        except:\n",
    "            print(\"Please enter an integer corresponding to a particular Bible \\\n",
    "verse or 0 for a randomly selected verse.\")\n",
    "            continue # Allows the user to retry entering a number\n",
    "\n",
    "        if response == 0:\n",
    "            return rng.integers(1, 35380) # Selects any verse within the Bible.\n",
    "            # there are 35,379 verses present, so we'll pass 1 (the first verse)\n",
    "            # and 35,380 (1 more than the last verse, as rng.integers won't \n",
    "            # include the final number within the range) to rng.integers().\n",
    "        # The next two elif statements will require us to determine which \n",
    "        # verses haven't yet been typed. We can do so by filtering df_Bible\n",
    "        # to include only untyped verses.\n",
    "        elif response == -2:\n",
    "            verses_not_yet_typed = list(\n",
    "                df_Bible.query(\"Typed == 0\")['Verse_Order'].copy())\n",
    "            if len(verses_not_yet_typed) == 0:\n",
    "                print(\"Congratulations! You have typed all verses from \\\n",
    "the Bible, so there are no new verses to type! Try selecting another option \\\n",
    "instead.\")\n",
    "                continue\n",
    "            print(f\"{len(verses_not_yet_typed)} verses have not yet \\\n",
    "been typed.\")\n",
    "            return rng.choice(verses_not_yet_typed) # Chooses one of these\n",
    "            # untyped verses at random\n",
    "        elif response == -3:\n",
    "            verses_not_yet_typed = list(\n",
    "                df_Bible.query(\"Typed == 0\")['Verse_Order'].copy())\n",
    "            if len(verses_not_yet_typed) == 0:\n",
    "                print(\"Congratulations! You have typed all verses from \\\n",
    "the Bible, so there are no new verses to type! Try selecting another option \\\n",
    "instead.\")\n",
    "                continue\n",
    "            print(f\"{len(verses_not_yet_typed)} verses have not yet \\\n",
    "been typed.\")\n",
    "            verses_not_yet_typed.sort() # Probably not necessary, as df_Bible\n",
    "            # is already sorted from the first to the last verse.\n",
    "            return verses_not_yet_typed[0]\n",
    "        \n",
    "        else:\n",
    "            if ((response >= 1) \n",
    "            & (response <= 35379)): # Making sure that the response is \n",
    "                # an integer between 1 and 35,379 (inclusive) so that it \n",
    "                # matches one of the Bible verse numbers present:                    \n",
    "                return response\n",
    "            else: # Will be called if a non-integer number was passed\n",
    "                    # or if the integer didn't correspond to a Bible verse\n",
    "                    # number. \n",
    "                print(\"Please enter an integer between 1 and 35,379.\") # Since\n",
    "                # we're still within a While loop, the user will be returned\n",
    "                # to the initial try/except block.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "def run_typing_test(verse_number, results_table, test_type = 'v2'):\n",
    "    '''This function calculates how quickly the user types the characters\n",
    "    passed to the Bible verse represented by verse_number, then saves those \n",
    "    results to the DataFrame passed to results_table.'''\n",
    "\n",
    "    # Retrieving the verse to be typed:\n",
    "    # The index begins at 0 whereas the list of verse numbers begins at 1,\n",
    "    # so we'll need to subtract 1 from verse_number in order to obtain\n",
    "    # the verse's index.\n",
    "    verse = df_Bible.iloc[verse_number-1]['Verse']\n",
    "    book = df_Bible.iloc[verse_number-1]['Book_Name']\n",
    "    chapter = df_Bible.iloc[verse_number-1]['Chapter_Name']\n",
    "    verse_number_within_chapter = df_Bible.iloc[verse_number-1]['Verse_#']\n",
    "    verse_number_within_Bible = df_Bible.iloc[\n",
    "        verse_number-1]['Verse_Order']\n",
    "    \n",
    "    # I moved these introductory comments out of the following while loop\n",
    "    # in order to simplify the dialogue presented to users during retest\n",
    "    # attempts.\n",
    "    print(\"Welcome to the typing test! Note that you can exit a test in \\\n",
    "progress by typing 'exit' and then hitting Enter.\")\n",
    "    print(f\"\\nYour verse to type is {book} \\\n",
    "{chapter}:{verse_number_within_chapter} (verse {verse_number_within_Bible} \\\n",
    "within the Bible .csv file).\\n\")\n",
    "    if run_on_notebook == False:\n",
    "        print(\"Press any key to begin typing!\")\n",
    "    else:\n",
    "        print(\"Press Enter to begin the test!\")\n",
    "    \n",
    "    complete_flag = 0\n",
    "    while complete_flag == 0:\n",
    "        print(f\"Here is the verse:\\n\\n{verse}\") \n",
    "\n",
    "        if run_on_notebook == False: # In this case, we can use getch()\n",
    "            # to begin the test.\n",
    "        # time.sleep(3) # I realized that players could actually begin typing\n",
    "        # during this sleep period, thus allowing them to complete the test\n",
    "        # faster than intended. Therefore, I'm now having the test start\n",
    "        # after the player hits a character of his/her choice. getch()\n",
    "        # accomplishes this task well.\n",
    "        # A simpler approach would be to add in an additional input block\n",
    "        # and have the player begin after he/she presses Enter, but that would\n",
    "        # cause the player's right hand to leave the default home row position,\n",
    "        # which could end up slowing him/her down. getch() allows any character\n",
    "        # to be pressed (such as the space bar) and thus avoids this issue.\n",
    "\n",
    "            start_character = getch() # See https://github.com/joeyespo/py-getch\n",
    "        \n",
    "        else: # When running the program within a Jupyter notebook, I wasn't\n",
    "            # able to enter input after getch() was called, so I created\n",
    "            # an alternative start method below that simply uses input().\n",
    "            input()\n",
    "\n",
    "        print(\"Start!\")      \n",
    "        if test_type == 'v1': \n",
    "            # This is a simple typing test setup that receives input from\n",
    "            # the user when 'Enter' is pressed, then checks that input\n",
    "            # against the verse. Because it doesn't check the response\n",
    "            # for accuracy as the player types, the player might not realize\n",
    "            # a character was mistyped until the very end, which can get\n",
    "            # frustrating. Therefore, I've now added in a new version\n",
    "            # of the test (called 'v2') that can be used instead. \n",
    "            local_start_time = datetime.now().isoformat()\n",
    "            utc_start_time = datetime.now(timezone.utc).isoformat()\n",
    "            typing_start_time = time.time()\n",
    "            verse_response = input() \n",
    "            # The following code will execute once the player finishes typing and\n",
    "            # hits Enter. (Having the program evaluate the player's entry only after\n",
    "            # 'Enter' is pressed isn't the best option, as the time required to\n",
    "            # hit Enter will reduce the player's reported WPM. Version v2, \n",
    "            # shown below, stops the test right when the final correct\n",
    "            # character is typed, which will make the final WPM slightly faster.\n",
    "            typing_end_time = time.time()\n",
    "            typing_time = typing_end_time - typing_start_time\n",
    "\n",
    "        elif test_type == 'v2':\n",
    "            # This version of the test checks the player's input after\n",
    "            # each character is typed. If the player's input is correct\n",
    "            # so far, the text will be highlighted green; otherwise,\n",
    "            # it will be highlighted red. (This allows the player to be \n",
    "            # notified of an error without the need for a line break\n",
    "            # in the console, which could prove distracting.)\n",
    "            # This function has been tested on Windows, but not yet \n",
    "            # on Mac or Linux. The use of the Colorama library should\n",
    "            # make it cross-platform, however.\n",
    "            verse_response = '' # This string will store the player's \n",
    "            # response.\n",
    "            local_start_time = datetime.now().isoformat()\n",
    "            utc_start_time = datetime.now(timezone.utc).isoformat()\n",
    "            typing_start_time = time.time()\n",
    "            while True: # This while loop allows the player to enter\n",
    "                # multiple characters.\n",
    "                # to allow the player to enter \n",
    "                character = getch() # getch() allows each character to be \n",
    "                # checked, making it easier to identify mistyped words.\n",
    "                if character == b'\\x08': \n",
    "                    # This will return True if the user hits backspace.\n",
    "                    # In this case, we'll want to remove the latest character\n",
    "                    # from verse_response in order to keep that value\n",
    "                    # in sync with what the player sees on the screen.\n",
    "                    # Calling print(character) after\n",
    "                    # hitting backspace revealed that b'\\x08' was the code\n",
    "                    # associated with the backspace key. \n",
    "                    verse_response = verse_response[:-1] # Trims the last\n",
    "                    # value off verse_response.\n",
    "                elif character == b'\\r': # Returns True if the user hits Enter.\n",
    "                    print(Style.RESET_ALL) # Resets the color of the text.\n",
    "                    # See https://pypi.org/project/colorama/\n",
    "                    break # Exits out of the test. This way, the user can\n",
    "                    # leave a test without having to complete the whole\n",
    "                    # verse. Note that, as with version v1 of the test,\n",
    "                    # writing 'exit' followed by Enter will allow the player\n",
    "                    # to return out of this function.\n",
    "                else: \n",
    "                    # The following line adds the latest character typed\n",
    "                    # to verse_response.\n",
    "                    verse_response += character.decode('ascii') \n",
    "                # See https://stackoverflow.com/questions/17615414/how-to-convert-binary-string-to-normal-string-in-python3\n",
    "\n",
    "                # Determining which color to use for the text:\n",
    "                if verse[0:len(verse_response)] == verse_response:\n",
    "                    text_color = Fore.GREEN\n",
    "                else:\n",
    "                    text_color = Fore.RED \n",
    "                \n",
    "                # Printing the player's response so far: (Note that \n",
    "                # verse_response gets printed instead of the last character.\n",
    "                # The addition of 'end = \"\\r\", flush = True' to the print()\n",
    "                # call allows characters to get displayed immediately\n",
    "                # after one another rather than on separate lines.\n",
    "                print(f\"{text_color}{verse_response}\", end = \"\\r\", flush = True)\n",
    "                # The 'end' and 'flush' arguments are \n",
    "                # Based on https://stackoverflow.com/a/69030559/13097194\n",
    "                # For the use of Colorama to produce red and green text, see\n",
    "                # https://pypi.org/project/colorama/\n",
    "                # and https://stackoverflow.com/a/3332860/13097194\n",
    "                if verse_response == verse: # Note that, unlike with version\n",
    "                    # v1, the player does not need to hit 'Enter' in order\n",
    "                    # to end the typing test after writing a completed\n",
    "                    # verse. This should speed up his/her WPM as a result.\n",
    "                    typing_end_time = time.time()\n",
    "                    typing_time = typing_end_time - typing_start_time\n",
    "                    print(\"\\nSuccess!\")\n",
    "                    print(Style.RESET_ALL)\n",
    "                    break\n",
    "\n",
    "        if verse_response == verse:\n",
    "            print(f\"Well done! You typed the verse correctly.\")\n",
    "            complete_flag = 1 # Setting this flag to 1 allows the player to exit\n",
    "            # out of the while statement.\n",
    "        elif verse_response.lower() == 'exit':\n",
    "            print(\"Exiting typing test.\")\n",
    "            return results_table # Exits the function without saving the \n",
    "            # current test to results_table or df_Bible\n",
    "        else:\n",
    "            print(\"Sorry, that wasn't the correct input.\")   \n",
    "            # Identifying incorrectly typed words:\n",
    "            verse_words = verse.split(' ')\n",
    "            verse_response_words = verse_response.split(' ')[0:len(verse_words)]\n",
    "            # I added in the [0:len(verse_words)] filter so that the following\n",
    "            # for loop would not attempt to access more words that were \n",
    "            # present in the original verse (which would cause the game\n",
    "            # to crash with an IndexError).\n",
    "            for i in range(len(verse_response_words)):\n",
    "                if verse_response_words[i] != verse_words[i]:\n",
    "                    print(f\"Word number {i} ('{verse_words[i]}') \\\n",
    "was typed '{verse_response_words[i]}'.\")\n",
    "                    # If the response has more or fewer words than the original\n",
    "                    # verse, some correctly typed words might appear within\n",
    "                    # this list also.\n",
    "            print(\"Try again!\") # complete_flag will still be 0 in this case,\n",
    "            # so the while loop will continue back to the beginning.\n",
    "\n",
    "    # Calculating typing statistics and storing them within a single-row\n",
    "    # DataFrame:\n",
    "\n",
    "    cps = len(verse) / typing_time # Calculating characters per second\n",
    "    wpm = cps * 12 # Multiplying by 60 to convert from characters to minutes, \n",
    "    # then dividing by 5 to convert from characters to words.\n",
    "    wpm\n",
    "\n",
    "    print(f\"Your CPS and WPM were {round(cps, 3)} and {round(wpm, 3)}, \\\n",
    "respectively.\")\n",
    "\n",
    "    # Creating a single-row DataFrame that stores the player's results:\n",
    "    df_latest_result = pd.DataFrame(index = [\n",
    "        len(results_table)+1], data = {'Unix_Start_Time':typing_start_time, \n",
    "    'Local_Start_Time':local_start_time,\n",
    "    'UTC_Start_Time':utc_start_time,\n",
    "    'Characters':len(verse),\n",
    "    'Seconds':typing_time, \n",
    "    'CPS': cps,\n",
    "    'WPM':wpm,\n",
    "    'Book': book,\n",
    "    'Chapter': chapter,\n",
    "    'Verse #': verse_number_within_chapter,\n",
    "    'Verse':verse, \n",
    "    'Verse_Order':verse_number_within_Bible})\n",
    "    df_latest_result.index.name = 'Test_Number'\n",
    "    df_latest_result\n",
    "\n",
    "    # Adding this new row to results_table:\n",
    "    results_table = pd.concat([results_table, df_latest_result])\\\n",
    "    \n",
    "    # Note: I could also have used df.at or df.iloc to add a new row\n",
    "    # to df_latest_result, but I chose a pd.concat() setup in order to ensure\n",
    "    # that the latest result would never overwrite an earlier result.\n",
    "    \n",
    "\n",
    "    # Updating df_Bible to store the player's results: (This will allow the\n",
    "    # player to track how much of the Bible he/she has typed so far)\n",
    "    df_Bible.at[verse_number-1, 'Typed'] = 1 # Denotes that this verse\n",
    "    # has now ben typed\n",
    "    df_Bible.at[verse_number-1, 'Tests'] += 1 # Keeps track of how \n",
    "    # many times this verse has been typed\n",
    "    fastest_wpm = df_Bible.at[verse_number-1, 'Fastest_WPM']\n",
    "    if ((pd.isna(fastest_wpm) == True) | (wpm > fastest_wpm)): \n",
    "        # In these cases, we should replace the pre-existing Fastest_WPM value\n",
    "        # with the WPM the player just achieved.\n",
    "        # I found that 5 > np.NaN returned False, so if I only checked for\n",
    "        # wpm > fastest_wpm, blank fastest_wpm values would never get overwritten.\n",
    "        # Therefore, I chose to also check for NaN values \n",
    "        # in the above if statement.\n",
    "        df_Bible.at[verse_number-1, 'Fastest_WPM'] = wpm\n",
    "\n",
    "    return results_table\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# run_typing_test(1, results_table=df_results)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "def select_subsequent_verse(previous_verse_number):\n",
    "    '''This function allows the player to specify which verse to\n",
    "    type next, or, alternatively, to exit the game.'''\n",
    "    print(\"Press 0 to retry the verse you just typed; \\\n",
    "1 to type the next verse; 2 to type the next verse that hasn't yet been typed; \\\n",
    "3 to select a different verse; \\\n",
    "or -1 to save your results and exit.\")\n",
    "    while True: \n",
    "            try:\n",
    "                response = int(input())\n",
    "            except: # The user didn't enter a number.\n",
    "                print(\"Please enter a number.\")      \n",
    "                continue\n",
    "            if response == 0:\n",
    "                return previous_verse_number\n",
    "            elif response == 1:\n",
    "                if previous_verse_number == 35379: # The verse order value\n",
    "                    # corresponding to the final verse of Revelation\n",
    "                    print(\"You just typed the last verse in the Bible, so \\\n",
    "there's no next verse to type! Please enter an option other than 1.\\n\")\n",
    "                    continue\n",
    "                else:\n",
    "                    return previous_verse_number + 1\n",
    "            elif response == 2:\n",
    "                # In this case, we'll retrieve a list of verses that haven't\n",
    "                # yet been typed; filter that list to include only verses\n",
    "                # greater than previous_verse_number; and then select\n",
    "                # the first verse within that list (i.e. the next \n",
    "                # untyped verse).\n",
    "                verses_not_yet_typed = list(df_Bible.query(\n",
    "                    \"Typed == 0\")['Verse_Order'].copy())\n",
    "                if len(verses_not_yet_typed) == 0:\n",
    "                    print(\"Congratulations! You have typed all verses from \\\n",
    "the Bible, so there are no new verses to type! Try selecting another option \\\n",
    "instead.\")\n",
    "                    continue\n",
    "                print(f\"{len(verses_not_yet_typed)} verses have not yet \\\n",
    "been typed.\")\n",
    "                verses_not_yet_typed.sort() \n",
    "                next_untyped_verses = [verse for verse in verses_not_yet_typed \n",
    "                if verse > previous_verse_number]\n",
    "                return next_untyped_verses[0]\n",
    "            elif response == 3:\n",
    "                return select_verse()\n",
    "            elif response == -1:\n",
    "                return response\n",
    "            else: # A number other than -1, 0, 1, 2, or 3 was passed.\n",
    "                print(\"Please enter either -1, 0, 1, 2, or 3.\\n\")  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "def calculate_current_day_results(df):\n",
    "    ''' This function reports the number of characters, total verses, and \n",
    "    unique verses that the player has typed so far today.'''\n",
    "    df_current_day_results = df[pd.to_datetime(\n",
    "        df['Local_Start_Time']).dt.date == datetime.today().date()].copy()\n",
    "    if len(df_current_day_results) == 0:\n",
    "        result_string = \"You haven't typed any Bible verses yet today.\"\n",
    "    else:\n",
    "        characters_typed_today = df_current_day_results['Characters'].sum()\n",
    "        total_verses_typed_today = len(df_current_day_results)\n",
    "\n",
    "        # Allowing for both singular and plural versions of 'verse' to \n",
    "        # be displayed:\n",
    "        if total_verses_typed_today == 1:\n",
    "            total_verses_string = 'verse'\n",
    "        else:\n",
    "            total_verses_string = 'verses'\n",
    "\n",
    "        unique_verses_typed_today = len(df_current_day_results[\n",
    "            'Verse_Order'].unique())\n",
    "\n",
    "        if unique_verses_typed_today == 1:\n",
    "            unique_verses_string = 'verse'\n",
    "        else:\n",
    "            unique_verses_string = 'verses'\n",
    "\n",
    "        average_wpm_today = round(df_current_day_results['WPM'].mean(), 3)\n",
    "        median_wpm_today = round(df_current_day_results['WPM'].median(), 3)\n",
    "        result_string = f\"So far today, you have typed \\\n",
    "{characters_typed_today} characters from {total_verses_typed_today} Bible \\\n",
    "{total_verses_string} (including {unique_verses_typed_today} unique \\\n",
    "{unique_verses_string}). Your mean and median WPM today are \\\n",
    "{average_wpm_today} and {median_wpm_today}, respectively.\"\n",
    "    return result_string"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [],
   "source": [
    "def run_game(results_table):\n",
    "    '''This function runs Type Through the Bible by \n",
    "    calling various other functions. It allows users to select\n",
    "    verses to type, then runs typing tests and stores the results in\n",
    "    the DataFrame passed to results_table.'''\n",
    "    \n",
    "    print(\"Welcome to Type Through the Bible!\")\n",
    "    # The game will now share the player's progress for the current day:\n",
    "    print(calculate_current_day_results(results_table))\n",
    "\n",
    "    print(\"To switch to a simpler typing test method that doesn't \\\n",
    "check your input as you type, enter v1. Otherwise, to stick with the \\\n",
    "recommended version, press Enter.\")\n",
    "    response = input()\n",
    "    if (response == 'v1') or (run_on_notebook == True): # Version 2 likely\n",
    "        # won't work within Jupyter notebooks, \n",
    "        # so the version will always be kept as v1 for notebook users.\n",
    "        typing_test_version = 'v1'\n",
    "    else:\n",
    "        typing_test_version = 'v2'\n",
    "\n",
    "\n",
    "    verse_number = select_verse()\n",
    "    \n",
    "\n",
    "    while True: # Allows the game to continue until the user exits\n",
    "        results_table = run_typing_test(verse_number=verse_number, \n",
    "        results_table=results_table, test_type = typing_test_version)\n",
    "        # The game will next share an updated progress report:\n",
    "        print(calculate_current_day_results(results_table))\n",
    "        \n",
    "        # The player will now be prompted to select a new verse number \n",
    "        # (or to save and quit). This verse_number, provided it is not -1,\n",
    "        # will then be passed back to run_typing_test().\n",
    "        verse_number = select_subsequent_verse(\n",
    "            previous_verse_number=verse_number)\n",
    "        if verse_number == -1: # In this case, the game will quit and the \n",
    "            # user's new test results will be saved to results_table.\n",
    "            return results_table "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Welcome to Type Through the Bible!\n",
      "You haven't typed any Bible verses yet today.\n",
      "Select a verse to type! Enter 0 to receive a random verse\n",
      "or enter a verse number (see 'Verse_Order column of\n",
      "the WEB_Catholic_Version.csv spreadsheet for a list of numbers to enter\n",
      "to select a specific verse.\n",
      "You can also enter -2 to receive a random verse that you haven't yet typed\n",
      "or -3 to choose the first Bible verse that hasn't yet been typed.\n",
      "34678 verses have not yet been typed.\n",
      "Welcome to the typing test! Note that you can exit a test in progress by entering 'exit.'\n",
      "\n",
      "Your verse to type is GEN 22:20 (verse 568 within the Bible .csv file).\n",
      "\n",
      "Press Enter to begin the test!\n",
      "Here is the verse:\n",
      "\n",
      "After these things, Abraham was told, \"Behold, Milcah, she also has borne children to your brother Nahor:\n",
      "Start!\n",
      "Sorry, that wasn't the correct input.\n",
      "Word number 0 ('After') was typed '\"AFter'.\n",
      "Word number 16 ('Nahor:') was typed 'Nahor:\"'.\n",
      "Try again!\n",
      "Here is the verse:\n",
      "\n",
      "After these things, Abraham was told, \"Behold, Milcah, she also has borne children to your brother Nahor:\n",
      "Start!\n",
      "Exiting typing test.\n",
      "You haven't typed any Bible verses yet today.\n",
      "Press 0 to retry the verse you just typed; 1 to type the next verse; 2 to type the next verse that hasn't yet been typed; 3 to select a different verse; or -1 to save your results and exit.\n",
      "Please enter a number.\n"
     ]
    }
   ],
   "source": [
    "df_results = run_game(results_table = df_results)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Updating certain df_Bible columns to reflect new results:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
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       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
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       "    .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>Book_Order</th>\n",
       "      <th>Book_Name</th>\n",
       "      <th>Chapter_Name</th>\n",
       "      <th>Book_and_Chapter</th>\n",
       "      <th>Chapter_Order</th>\n",
       "      <th>Verse_#</th>\n",
       "      <th>Verse_Order</th>\n",
       "      <th>Verse</th>\n",
       "      <th>Characters</th>\n",
       "      <th>Typed</th>\n",
       "      <th>Tests</th>\n",
       "      <th>Fastest_WPM</th>\n",
       "      <th>Characters_Typed</th>\n",
       "      <th>Total_Characters_Typed</th>\n",
       "      <th>Count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>GEN</td>\n",
       "      <td>1</td>\n",
       "      <td>GEN 1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>In the beginning, God created the heavens and ...</td>\n",
       "      <td>56</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>193.251509</td>\n",
       "      <td>56</td>\n",
       "      <td>448</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>GEN</td>\n",
       "      <td>1</td>\n",
       "      <td>GEN 1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>The earth was formless and empty. Darkness was...</td>\n",
       "      <td>135</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>140.461827</td>\n",
       "      <td>135</td>\n",
       "      <td>270</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>GEN</td>\n",
       "      <td>1</td>\n",
       "      <td>GEN 1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>God said, \"Let there be light,\" and there was ...</td>\n",
       "      <td>52</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>84.008493</td>\n",
       "      <td>52</td>\n",
       "      <td>52</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>GEN</td>\n",
       "      <td>1</td>\n",
       "      <td>GEN 1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>God saw the light, and saw that it was good. G...</td>\n",
       "      <td>85</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>123.198378</td>\n",
       "      <td>85</td>\n",
       "      <td>85</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>GEN</td>\n",
       "      <td>1</td>\n",
       "      <td>GEN 1</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>God called the light \"day\", and the darkness h...</td>\n",
       "      <td>119</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>135.664272</td>\n",
       "      <td>119</td>\n",
       "      <td>119</td>\n",
       "      <td>1</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35374</th>\n",
       "      <td>95</td>\n",
       "      <td>REV</td>\n",
       "      <td>22</td>\n",
       "      <td>REV 22</td>\n",
       "      <td>1328</td>\n",
       "      <td>17</td>\n",
       "      <td>35375</td>\n",
       "      <td>The Spirit and the bride say, \"Come!\" He who h...</td>\n",
       "      <td>160</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35375</th>\n",
       "      <td>95</td>\n",
       "      <td>REV</td>\n",
       "      <td>22</td>\n",
       "      <td>REV 22</td>\n",
       "      <td>1328</td>\n",
       "      <td>18</td>\n",
       "      <td>35376</td>\n",
       "      <td>I testify to everyone who hears the words of t...</td>\n",
       "      <td>159</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35376</th>\n",
       "      <td>95</td>\n",
       "      <td>REV</td>\n",
       "      <td>22</td>\n",
       "      <td>REV 22</td>\n",
       "      <td>1328</td>\n",
       "      <td>19</td>\n",
       "      <td>35377</td>\n",
       "      <td>If anyone takes away from the words of the boo...</td>\n",
       "      <td>174</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35377</th>\n",
       "      <td>95</td>\n",
       "      <td>REV</td>\n",
       "      <td>22</td>\n",
       "      <td>REV 22</td>\n",
       "      <td>1328</td>\n",
       "      <td>20</td>\n",
       "      <td>35378</td>\n",
       "      <td>He who testifies these things says, \"Yes, I am...</td>\n",
       "      <td>89</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35378</th>\n",
       "      <td>95</td>\n",
       "      <td>REV</td>\n",
       "      <td>22</td>\n",
       "      <td>REV 22</td>\n",
       "      <td>1328</td>\n",
       "      <td>21</td>\n",
       "      <td>35379</td>\n",
       "      <td>The grace of the Lord Jesus Christ be with all...</td>\n",
       "      <td>64</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>161.093106</td>\n",
       "      <td>64</td>\n",
       "      <td>64</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>35379 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Book_Order Book_Name  Chapter_Name Book_and_Chapter  Chapter_Order  \\\n",
       "0               1       GEN             1            GEN 1              1   \n",
       "1               1       GEN             1            GEN 1              1   \n",
       "2               1       GEN             1            GEN 1              1   \n",
       "3               1       GEN             1            GEN 1              1   \n",
       "4               1       GEN             1            GEN 1              1   \n",
       "...           ...       ...           ...              ...            ...   \n",
       "35374          95       REV            22           REV 22           1328   \n",
       "35375          95       REV            22           REV 22           1328   \n",
       "35376          95       REV            22           REV 22           1328   \n",
       "35377          95       REV            22           REV 22           1328   \n",
       "35378          95       REV            22           REV 22           1328   \n",
       "\n",
       "       Verse_#  Verse_Order  \\\n",
       "0            1            1   \n",
       "1            2            2   \n",
       "2            3            3   \n",
       "3            4            4   \n",
       "4            5            5   \n",
       "...        ...          ...   \n",
       "35374       17        35375   \n",
       "35375       18        35376   \n",
       "35376       19        35377   \n",
       "35377       20        35378   \n",
       "35378       21        35379   \n",
       "\n",
       "                                                   Verse  Characters  Typed  \\\n",
       "0      In the beginning, God created the heavens and ...          56      1   \n",
       "1      The earth was formless and empty. Darkness was...         135      1   \n",
       "2      God said, \"Let there be light,\" and there was ...          52      1   \n",
       "3      God saw the light, and saw that it was good. G...          85      1   \n",
       "4      God called the light \"day\", and the darkness h...         119      1   \n",
       "...                                                  ...         ...    ...   \n",
       "35374  The Spirit and the bride say, \"Come!\" He who h...         160      0   \n",
       "35375  I testify to everyone who hears the words of t...         159      0   \n",
       "35376  If anyone takes away from the words of the boo...         174      0   \n",
       "35377  He who testifies these things says, \"Yes, I am...          89      0   \n",
       "35378  The grace of the Lord Jesus Christ be with all...          64      1   \n",
       "\n",
       "       Tests  Fastest_WPM  Characters_Typed  Total_Characters_Typed  Count  \n",
       "0          8   193.251509                56                     448      1  \n",
       "1          2   140.461827               135                     270      1  \n",
       "2          1    84.008493                52                      52      1  \n",
       "3          1   123.198378                85                      85      1  \n",
       "4          1   135.664272               119                     119      1  \n",
       "...      ...          ...               ...                     ...    ...  \n",
       "35374      0          NaN                 0                       0      1  \n",
       "35375      0          NaN                 0                       0      1  \n",
       "35376      0          NaN                 0                       0      1  \n",
       "35377      0          NaN                 0                       0      1  \n",
       "35378      1   161.093106                64                      64      1  \n",
       "\n",
       "[35379 rows x 15 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_Bible['Characters_Typed'] = df_Bible['Characters'] * df_Bible['Typed']\n",
    "df_Bible['Total_Characters_Typed'] = df_Bible['Characters'] * df_Bible['Tests']\n",
    "df_Bible"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "You have typed 82378 characters so far, which represents 1.82731% of the Bible.\n"
     ]
    }
   ],
   "source": [
    "characters_typed_sum = df_Bible['Characters_Typed'].sum()\n",
    "proportion_of_Bible_typed = characters_typed_sum / df_Bible['Characters'].sum()\n",
    "\n",
    "print(f\"You have typed {characters_typed_sum} characters so far, which represents \\\n",
    "{round(100*proportion_of_Bible_typed, 4)}% of the Bible.\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Adding in additional values and statistics to df_results:\n",
    "\n",
    "(The following cell was derived from [this script](https://github.com/kburchfiel/typeracer_data_analyzer/blob/master/typeracer_data_analyzer_v2.ipynb) that I wrote.)\n",
    "\n",
    "These statistics will get recreated whenever the script is run; this approach allows for the results to be revised as needed (e.g. if certain rows are removed from the dataset)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<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>Unix_Start_Time</th>\n",
       "      <th>Local_Start_Time</th>\n",
       "      <th>UTC_Start_Time</th>\n",
       "      <th>Characters</th>\n",
       "      <th>Seconds</th>\n",
       "      <th>CPS</th>\n",
       "      <th>WPM</th>\n",
       "      <th>Book</th>\n",
       "      <th>Chapter</th>\n",
       "      <th>Verse_Order</th>\n",
       "      <th>Verse</th>\n",
       "      <th>Verse #</th>\n",
       "      <th>Last 10 Avg</th>\n",
       "      <th>Last 100 Avg</th>\n",
       "      <th>Last 1000 Avg</th>\n",
       "      <th>cumulative_avg</th>\n",
       "      <th>Local_Year</th>\n",
       "      <th>Local_Month</th>\n",
       "      <th>Local_Hour</th>\n",
       "      <th>Count</th>\n",
       "      <th>Local_Date</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Test_Number</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.698121e+09</td>\n",
       "      <td>2023-10-24T00:17:38.017017</td>\n",
       "      <td>2023-10-24T04:17:38.017017+00:00</td>\n",
       "      <td>56</td>\n",
       "      <td>6.571754</td>\n",
       "      <td>8.521317</td>\n",
       "      <td>102.255799</td>\n",
       "      <td>GEN</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>In the beginning, God created the heavens and ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>102.256</td>\n",
       "      <td>2023</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2023-10-24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.698121e+09</td>\n",
       "      <td>2023-10-24T00:18:06.165502</td>\n",
       "      <td>2023-10-24T04:18:06.165502+00:00</td>\n",
       "      <td>135</td>\n",
       "      <td>13.997536</td>\n",
       "      <td>9.644554</td>\n",
       "      <td>115.734653</td>\n",
       "      <td>GEN</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>The earth was formless and empty. Darkness was...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>108.995</td>\n",
       "      <td>2023</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2023-10-24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.698121e+09</td>\n",
       "      <td>2023-10-24T00:18:24.381290</td>\n",
       "      <td>2023-10-24T04:18:24.381290+00:00</td>\n",
       "      <td>56</td>\n",
       "      <td>4.714291</td>\n",
       "      <td>11.878774</td>\n",
       "      <td>142.545292</td>\n",
       "      <td>GEN</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>In the beginning, God created the heavens and ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>120.179</td>\n",
       "      <td>2023</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2023-10-24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1.698121e+09</td>\n",
       "      <td>2023-10-24T00:21:24.331389</td>\n",
       "      <td>2023-10-24T04:21:24.331389+00:00</td>\n",
       "      <td>56</td>\n",
       "      <td>4.878704</td>\n",
       "      <td>11.478458</td>\n",
       "      <td>137.741497</td>\n",
       "      <td>GEN</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>In the beginning, God created the heavens and ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>124.569</td>\n",
       "      <td>2023</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2023-10-24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1.698121e+09</td>\n",
       "      <td>2023-10-24T00:22:03.749152</td>\n",
       "      <td>2023-10-24T04:22:03.749152+00:00</td>\n",
       "      <td>135</td>\n",
       "      <td>19.078445</td>\n",
       "      <td>7.076048</td>\n",
       "      <td>84.912580</td>\n",
       "      <td>GEN</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>The earth was formless and empty. Darkness was...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>116.638</td>\n",
       "      <td>2023</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2023-10-24</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>713</th>\n",
       "      <td>1.699312e+09</td>\n",
       "      <td>2023-11-06T18:08:59.504052</td>\n",
       "      <td>2023-11-06T23:08:59.504052+00:00</td>\n",
       "      <td>62</td>\n",
       "      <td>10.138869</td>\n",
       "      <td>6.115081</td>\n",
       "      <td>73.380967</td>\n",
       "      <td>GEN</td>\n",
       "      <td>22</td>\n",
       "      <td>563</td>\n",
       "      <td>Yahweh's angel called to Abraham a second time...</td>\n",
       "      <td>15.0</td>\n",
       "      <td>124.819574</td>\n",
       "      <td>129.016002</td>\n",
       "      <td>NaN</td>\n",
       "      <td>132.602</td>\n",
       "      <td>2023</td>\n",
       "      <td>11</td>\n",
       "      <td>18</td>\n",
       "      <td>1</td>\n",
       "      <td>2023-11-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>714</th>\n",
       "      <td>1.699312e+09</td>\n",
       "      <td>2023-11-06T18:09:10.609775</td>\n",
       "      <td>2023-11-06T23:09:10.609775+00:00</td>\n",
       "      <td>131</td>\n",
       "      <td>12.816818</td>\n",
       "      <td>10.220946</td>\n",
       "      <td>122.651348</td>\n",
       "      <td>GEN</td>\n",
       "      <td>22</td>\n",
       "      <td>564</td>\n",
       "      <td>and said, \"'I have sworn by myself,' says Yahw...</td>\n",
       "      <td>16.0</td>\n",
       "      <td>123.880578</td>\n",
       "      <td>128.701799</td>\n",
       "      <td>NaN</td>\n",
       "      <td>132.588</td>\n",
       "      <td>2023</td>\n",
       "      <td>11</td>\n",
       "      <td>18</td>\n",
       "      <td>1</td>\n",
       "      <td>2023-11-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>715</th>\n",
       "      <td>1.699312e+09</td>\n",
       "      <td>2023-11-06T18:09:25.440950</td>\n",
       "      <td>2023-11-06T23:09:25.440950+00:00</td>\n",
       "      <td>201</td>\n",
       "      <td>15.170887</td>\n",
       "      <td>13.249061</td>\n",
       "      <td>158.988731</td>\n",
       "      <td>GEN</td>\n",
       "      <td>22</td>\n",
       "      <td>565</td>\n",
       "      <td>that I will bless you greatly, and I will mult...</td>\n",
       "      <td>17.0</td>\n",
       "      <td>126.291000</td>\n",
       "      <td>129.254139</td>\n",
       "      <td>NaN</td>\n",
       "      <td>132.625</td>\n",
       "      <td>2023</td>\n",
       "      <td>11</td>\n",
       "      <td>18</td>\n",
       "      <td>1</td>\n",
       "      <td>2023-11-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>716</th>\n",
       "      <td>1.699312e+09</td>\n",
       "      <td>2023-11-06T18:09:50.607697</td>\n",
       "      <td>2023-11-06T23:09:50.607697+00:00</td>\n",
       "      <td>99</td>\n",
       "      <td>8.920846</td>\n",
       "      <td>11.097603</td>\n",
       "      <td>133.171233</td>\n",
       "      <td>GEN</td>\n",
       "      <td>22</td>\n",
       "      <td>566</td>\n",
       "      <td>All the nations of the earth will be blessed b...</td>\n",
       "      <td>18.0</td>\n",
       "      <td>126.220336</td>\n",
       "      <td>129.166090</td>\n",
       "      <td>NaN</td>\n",
       "      <td>132.625</td>\n",
       "      <td>2023</td>\n",
       "      <td>11</td>\n",
       "      <td>18</td>\n",
       "      <td>1</td>\n",
       "      <td>2023-11-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>717</th>\n",
       "      <td>1.699312e+09</td>\n",
       "      <td>2023-11-06T18:10:01.007281</td>\n",
       "      <td>2023-11-06T23:10:01.007281+00:00</td>\n",
       "      <td>114</td>\n",
       "      <td>9.953331</td>\n",
       "      <td>11.453452</td>\n",
       "      <td>137.441419</td>\n",
       "      <td>GEN</td>\n",
       "      <td>22</td>\n",
       "      <td>567</td>\n",
       "      <td>So Abraham returned to his young men, and they...</td>\n",
       "      <td>19.0</td>\n",
       "      <td>125.569146</td>\n",
       "      <td>129.260829</td>\n",
       "      <td>NaN</td>\n",
       "      <td>132.632</td>\n",
       "      <td>2023</td>\n",
       "      <td>11</td>\n",
       "      <td>18</td>\n",
       "      <td>1</td>\n",
       "      <td>2023-11-06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>717 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Unix_Start_Time            Local_Start_Time  \\\n",
       "Test_Number                                                \n",
       "1               1.698121e+09  2023-10-24T00:17:38.017017   \n",
       "2               1.698121e+09  2023-10-24T00:18:06.165502   \n",
       "3               1.698121e+09  2023-10-24T00:18:24.381290   \n",
       "4               1.698121e+09  2023-10-24T00:21:24.331389   \n",
       "5               1.698121e+09  2023-10-24T00:22:03.749152   \n",
       "...                      ...                         ...   \n",
       "713             1.699312e+09  2023-11-06T18:08:59.504052   \n",
       "714             1.699312e+09  2023-11-06T18:09:10.609775   \n",
       "715             1.699312e+09  2023-11-06T18:09:25.440950   \n",
       "716             1.699312e+09  2023-11-06T18:09:50.607697   \n",
       "717             1.699312e+09  2023-11-06T18:10:01.007281   \n",
       "\n",
       "                               UTC_Start_Time  Characters    Seconds  \\\n",
       "Test_Number                                                            \n",
       "1            2023-10-24T04:17:38.017017+00:00          56   6.571754   \n",
       "2            2023-10-24T04:18:06.165502+00:00         135  13.997536   \n",
       "3            2023-10-24T04:18:24.381290+00:00          56   4.714291   \n",
       "4            2023-10-24T04:21:24.331389+00:00          56   4.878704   \n",
       "5            2023-10-24T04:22:03.749152+00:00         135  19.078445   \n",
       "...                                       ...         ...        ...   \n",
       "713          2023-11-06T23:08:59.504052+00:00          62  10.138869   \n",
       "714          2023-11-06T23:09:10.609775+00:00         131  12.816818   \n",
       "715          2023-11-06T23:09:25.440950+00:00         201  15.170887   \n",
       "716          2023-11-06T23:09:50.607697+00:00          99   8.920846   \n",
       "717          2023-11-06T23:10:01.007281+00:00         114   9.953331   \n",
       "\n",
       "                   CPS         WPM Book  Chapter  Verse_Order  \\\n",
       "Test_Number                                                     \n",
       "1             8.521317  102.255799  GEN        1            1   \n",
       "2             9.644554  115.734653  GEN        1            2   \n",
       "3            11.878774  142.545292  GEN        1            1   \n",
       "4            11.478458  137.741497  GEN        1            1   \n",
       "5             7.076048   84.912580  GEN        1            2   \n",
       "...                ...         ...  ...      ...          ...   \n",
       "713           6.115081   73.380967  GEN       22          563   \n",
       "714          10.220946  122.651348  GEN       22          564   \n",
       "715          13.249061  158.988731  GEN       22          565   \n",
       "716          11.097603  133.171233  GEN       22          566   \n",
       "717          11.453452  137.441419  GEN       22          567   \n",
       "\n",
       "                                                         Verse  Verse #  \\\n",
       "Test_Number                                                               \n",
       "1            In the beginning, God created the heavens and ...      NaN   \n",
       "2            The earth was formless and empty. Darkness was...      NaN   \n",
       "3            In the beginning, God created the heavens and ...      NaN   \n",
       "4            In the beginning, God created the heavens and ...      NaN   \n",
       "5            The earth was formless and empty. Darkness was...      NaN   \n",
       "...                                                        ...      ...   \n",
       "713          Yahweh's angel called to Abraham a second time...     15.0   \n",
       "714          and said, \"'I have sworn by myself,' says Yahw...     16.0   \n",
       "715          that I will bless you greatly, and I will mult...     17.0   \n",
       "716          All the nations of the earth will be blessed b...     18.0   \n",
       "717          So Abraham returned to his young men, and they...     19.0   \n",
       "\n",
       "             Last 10 Avg  Last 100 Avg  Last 1000 Avg  cumulative_avg  \\\n",
       "Test_Number                                                             \n",
       "1                    NaN           NaN            NaN         102.256   \n",
       "2                    NaN           NaN            NaN         108.995   \n",
       "3                    NaN           NaN            NaN         120.179   \n",
       "4                    NaN           NaN            NaN         124.569   \n",
       "5                    NaN           NaN            NaN         116.638   \n",
       "...                  ...           ...            ...             ...   \n",
       "713           124.819574    129.016002            NaN         132.602   \n",
       "714           123.880578    128.701799            NaN         132.588   \n",
       "715           126.291000    129.254139            NaN         132.625   \n",
       "716           126.220336    129.166090            NaN         132.625   \n",
       "717           125.569146    129.260829            NaN         132.632   \n",
       "\n",
       "             Local_Year  Local_Month  Local_Hour  Count  Local_Date  \n",
       "Test_Number                                                          \n",
       "1                  2023           10           0      1  2023-10-24  \n",
       "2                  2023           10           0      1  2023-10-24  \n",
       "3                  2023           10           0      1  2023-10-24  \n",
       "4                  2023           10           0      1  2023-10-24  \n",
       "5                  2023           10           0      1  2023-10-24  \n",
       "...                 ...          ...         ...    ...         ...  \n",
       "713                2023           11          18      1  2023-11-06  \n",
       "714                2023           11          18      1  2023-11-06  \n",
       "715                2023           11          18      1  2023-11-06  \n",
       "716                2023           11          18      1  2023-11-06  \n",
       "717                2023           11          18      1  2023-11-06  \n",
       "\n",
       "[717 rows x 21 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_results['Last 10 Avg'] = df_results['WPM'].rolling(10).mean()\n",
    "df_results['Last 100 Avg'] = df_results['WPM'].rolling(100).mean()\n",
    "df_results['Last 1000 Avg'] = df_results['WPM'].rolling(1000).mean()\n",
    "\n",
    "df_results['Local_Year'] = pd.to_datetime(df_results['Local_Start_Time']).dt.year\n",
    "df_results['Local_Month'] = pd.to_datetime(df_results['Local_Start_Time']).dt.month\n",
    "df_results['Local_Date'] = pd.to_datetime(df_results['Local_Start_Time']).dt.date\n",
    "df_results['Local_Hour'] = pd.to_datetime(df_results['Local_Start_Time']).dt.hour\n",
    "df_results['Count'] = 1 # Useful for pivot tables that analyze test counts\n",
    "# by book, month, etc.\n",
    "\n",
    "# The following line uses a list comprehension to generate a cumulative average\n",
    "# of all WPM scores up until the current race. .iloc searches from 0 to i+1 for\n",
    "# each row so that that row is included in the calculation.\n",
    "df_results['cumulative_avg'] = [round(np.mean(df_results.iloc[0:i+1]['WPM']),\n",
    "3) for i in range(len(df_results))]\n",
    "df_results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saving results:\n"
     ]
    }
   ],
   "source": [
    "print(\"Saving results:\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "def attempt_save(df, filename, index):\n",
    "    '''This function attempts to save the DataFrame passed to df to the file\n",
    "    specified by filename. It allows players to retry the save operation\n",
    "    if it wasn't initially successful (e.g. because the file was open at \n",
    "    the time), thus preventing them from losing their latest progress.\n",
    "    The index parameter determines whether or not the DataFrame's index\n",
    "    will be included in the .csv export. Set to True for results.csv\n",
    "    but False for Web_Catholic_Version_for_game_updated.csv.'''\n",
    "    while True:\n",
    "        try: \n",
    "            df.to_csv(filename, index = index)\n",
    "            return\n",
    "        except:\n",
    "            print(\"File could not be saved, likely because it is currently open. \\\n",
    "Try closing the file and trying again. Press Enter to retry.\")\n",
    "            input()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "attempt_save(df_results, 'results.csv', index = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "attempt_save(df_Bible, 'WEB_Catholic_Version_for_game_updated.csv', index = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Successfully saved updated copies of the Results and Bible .csv files.\n"
     ]
    }
   ],
   "source": [
    "print(\"Successfully saved updated copies of the Results and Bible .csv files.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Visualizing the player's progress in typing the entire Bible:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Updating analyses:\n"
     ]
    }
   ],
   "source": [
    "analysis_start_time = time.time() # Allows us to determine how long the\n",
    "# analyses took\n",
    "print(\"Updating analyses:\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_Bible['Count'] = 1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Creating a tree map within Plotly that visualizes the player's progress in typing the entire Bible:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "# This code is based on https://plotly.com/python/treemaps/\n",
    "# It's pretty amazing that such a complex visualization can be created using\n",
    "# just one line of code. Thanks Plotly!\n",
    "fig_tree_map_books_chapters_verses = px.treemap(\n",
    "    df_Bible, path = ['Book_Name', 'Chapter_Name', 'Verse_#'], \n",
    "    values = 'Characters', color = 'Typed')\n",
    "# fig_verses_typed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig_tree_map_books_chapters_verses.write_html(\n",
    "    'Analyses/tree_map_books_chapters_verses.html')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "# # A similar chart that doesn't use the Typed column for color coding:\n",
    "# (This chart, unlike fig_verses_typed above, won't change unless edits are \n",
    "# made to the code itself, so it can be \n",
    "# commented out after being run once.)\n",
    "# fig_Bible_verses.write_html('Bible_tree_map.html')\n",
    "# fig_Bible_verses = px.treemap(df_Bible, path = ['Book_Name', \n",
    "# 'Chapter_Name', 'Verse_#'], values = 'Characters')\n",
    "# fig_Bible_verses"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    .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>Book_Order</th>\n",
       "      <th>Book_Name</th>\n",
       "      <th>Chapter_Name</th>\n",
       "      <th>Book_and_Chapter</th>\n",
       "      <th>Chapter_Order</th>\n",
       "      <th>Verse_#</th>\n",
       "      <th>Verse_Order</th>\n",
       "      <th>Verse</th>\n",
       "      <th>Characters</th>\n",
       "      <th>Typed</th>\n",
       "      <th>Tests</th>\n",
       "      <th>Fastest_WPM</th>\n",
       "      <th>Characters_Typed</th>\n",
       "      <th>Total_Characters_Typed</th>\n",
       "      <th>Count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
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       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "      <td>GEN 1</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>God called the light \"day\", and the darkness h...</td>\n",
       "      <td>119</td>\n",
       "      <td>1</td>\n",
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       "      <td>135.664272</td>\n",
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       "      <th>35374</th>\n",
       "      <td>95</td>\n",
       "      <td>REV</td>\n",
       "      <td>22</td>\n",
       "      <td>REV 22</td>\n",
       "      <td>1328</td>\n",
       "      <td>17</td>\n",
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       "      <td>The Spirit and the bride say, \"Come!\" He who h...</td>\n",
       "      <td>160</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>1328</td>\n",
       "      <td>18</td>\n",
       "      <td>35376</td>\n",
       "      <td>I testify to everyone who hears the words of t...</td>\n",
       "      <td>159</td>\n",
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       "      <td>1328</td>\n",
       "      <td>19</td>\n",
       "      <td>35377</td>\n",
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       "      <td>He who testifies these things says, \"Yes, I am...</td>\n",
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       "      <td>21</td>\n",
       "      <td>35379</td>\n",
       "      <td>The grace of the Lord Jesus Christ be with all...</td>\n",
       "      <td>64</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>161.093106</td>\n",
       "      <td>64</td>\n",
       "      <td>64</td>\n",
       "      <td>1</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>35379 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Book_Order Book_Name  Chapter_Name Book_and_Chapter  Chapter_Order  \\\n",
       "0               1       GEN             1            GEN 1              1   \n",
       "1               1       GEN             1            GEN 1              1   \n",
       "2               1       GEN             1            GEN 1              1   \n",
       "3               1       GEN             1            GEN 1              1   \n",
       "4               1       GEN             1            GEN 1              1   \n",
       "...           ...       ...           ...              ...            ...   \n",
       "35374          95       REV            22           REV 22           1328   \n",
       "35375          95       REV            22           REV 22           1328   \n",
       "35376          95       REV            22           REV 22           1328   \n",
       "35377          95       REV            22           REV 22           1328   \n",
       "35378          95       REV            22           REV 22           1328   \n",
       "\n",
       "       Verse_#  Verse_Order  \\\n",
       "0            1            1   \n",
       "1            2            2   \n",
       "2            3            3   \n",
       "3            4            4   \n",
       "4            5            5   \n",
       "...        ...          ...   \n",
       "35374       17        35375   \n",
       "35375       18        35376   \n",
       "35376       19        35377   \n",
       "35377       20        35378   \n",
       "35378       21        35379   \n",
       "\n",
       "                                                   Verse  Characters  Typed  \\\n",
       "0      In the beginning, God created the heavens and ...          56      1   \n",
       "1      The earth was formless and empty. Darkness was...         135      1   \n",
       "2      God said, \"Let there be light,\" and there was ...          52      1   \n",
       "3      God saw the light, and saw that it was good. G...          85      1   \n",
       "4      God called the light \"day\", and the darkness h...         119      1   \n",
       "...                                                  ...         ...    ...   \n",
       "35374  The Spirit and the bride say, \"Come!\" He who h...         160      0   \n",
       "35375  I testify to everyone who hears the words of t...         159      0   \n",
       "35376  If anyone takes away from the words of the boo...         174      0   \n",
       "35377  He who testifies these things says, \"Yes, I am...          89      0   \n",
       "35378  The grace of the Lord Jesus Christ be with all...          64      1   \n",
       "\n",
       "       Tests  Fastest_WPM  Characters_Typed  Total_Characters_Typed  Count  \n",
       "0          8   193.251509                56                     448      1  \n",
       "1          2   140.461827               135                     270      1  \n",
       "2          1    84.008493                52                      52      1  \n",
       "3          1   123.198378                85                      85      1  \n",
       "4          1   135.664272               119                     119      1  \n",
       "...      ...          ...               ...                     ...    ...  \n",
       "35374      0          NaN                 0                       0      1  \n",
       "35375      0          NaN                 0                       0      1  \n",
       "35376      0          NaN                 0                       0      1  \n",
       "35377      0          NaN                 0                       0      1  \n",
       "35378      1   161.093106                64                      64      1  \n",
       "\n",
       "[35379 rows x 15 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_Bible"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "# This variant of the treemap shows chapters and verses rather than books,\n",
    "# chapters, and verses.\n",
    "if (run_on_notebook == True) & (extra_analyses == True):\n",
    "    fig_tree_map_chapters_verses = px.treemap(df_Bible, path = [\n",
    "        'Book_and_Chapter', 'Verse_#'], values = 'Characters', color = 'Typed')\n",
    "    fig_tree_map_chapters_verses.write_html(\n",
    "        'Analyses/tree_map_chapters_verses.html')\n",
    "    fig_tree_map_chapters_verses.write_image(\n",
    "        'Analyses/tree_map_chapters_verses.png', width = 7680, height = 4320)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "# This variant of the treemap shows each verse as its own box, which results in \n",
    "# a very busy graph that takes a while to load within a web browser\n",
    "# (if it even loads at all).\n",
    "\n",
    "if (run_on_notebook == True) & (extra_analyses == True):\n",
    "    fig_tree_map_verses = px.treemap(df_Bible, path = ['Verse_Order'], \n",
    "                                     values = 'Characters', color = 'Typed')\n",
    "    fig_tree_map_verses.write_html('Analyses/tree_map_verses.html')\n",
    "    fig_tree_map_verses.write_image('Analyses/tree_map_verses_8K.png', \n",
    "                                    width = 7680, height = 4320) \n",
    "    fig_tree_map_verses.write_image('Analyses/tree_map_verses_16K.png', \n",
    "                                    width = 15360, height = 8640) \n",
    "# fig_tree_map_verses.write_image('Analyses/tree_map_verses.png', width = 30720, \n",
    "# height = 17280) # Didn't end up rendering successfully, probably \n",
    "# because the dimensions were absurdly large!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Creating a bar chart that shows the proportion of each book that has been typed so far:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
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       "      <td>453</td>\n",
       "      <td>0.294922</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>93</td>\n",
       "      <td>3JN</td>\n",
       "      <td>1525</td>\n",
       "      <td>1525</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>94</td>\n",
       "      <td>JUD</td>\n",
       "      <td>3461</td>\n",
       "      <td>136</td>\n",
       "      <td>0.039295</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>95</td>\n",
       "      <td>REV</td>\n",
       "      <td>58702</td>\n",
       "      <td>64</td>\n",
       "      <td>0.001090</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>73 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Book_Order Book_Name  Characters  Characters_Typed  proportion_typed\n",
       "0            1       GEN      185293             66708          0.360014\n",
       "1            2       EXO      159492               507          0.003179\n",
       "2            3       LEV      120367                 0          0.000000\n",
       "3            4       NUM      165525               202          0.001220\n",
       "4            5       DEU      139344                 0          0.000000\n",
       "..         ...       ...         ...               ...               ...\n",
       "68          91       1JN       12363             12363          1.000000\n",
       "69          92       2JN        1536               453          0.294922\n",
       "70          93       3JN        1525              1525          1.000000\n",
       "71          94       JUD        3461               136          0.039295\n",
       "72          95       REV       58702                64          0.001090\n",
       "\n",
       "[73 rows x 5 columns]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
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   ],
   "source": [
    "df_characters_typed_by_book = df_Bible.pivot_table(index = ['Book_Order', \n",
    "'Book_Name'], values = ['Characters', 'Characters_Typed'], \n",
    "aggfunc = 'sum').reset_index()\n",
    "# Adding 'Book_Order' as the first index value allows for the pivot tables\n",
    "# and bars to be ordered by that value.\n",
    "df_characters_typed_by_book['proportion_typed'] = df_characters_typed_by_book[\n",
    "    'Characters_Typed'] / df_characters_typed_by_book['Characters']\n",
    "df_characters_typed_by_book.to_csv(\n",
    "    'Analyses/characters_typed_by_book.csv')\n",
    "df_characters_typed_by_book"
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          "text": "Book_Name"
         }
        },
        "yaxis": {
         "anchor": "x",
         "domain": [
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         "range": [
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   ],
   "source": [
    "fig_proportion_of_each_book_typed = px.bar(df_characters_typed_by_book, \n",
    "x = 'Book_Name', y = 'proportion_typed')\n",
    "fig_proportion_of_each_book_typed.update_yaxes(range = [0, 1]) # Setting\n",
    "# the maximum y value as 1 better demonstrates how much of the Bible\n",
    "# has been typed so far\n",
    "fig_proportion_of_each_book_typed.write_html(\n",
    "    'Analyses/proportion_of_each_book_typed.html')\n",
    "fig_proportion_of_each_book_typed.write_image(\n",
    "    'Analyses/proportion_of_each_book_typed.png', \n",
    "    width = 1920, height = 1080, engine = 'kaleido', scale = 2)\n",
    "fig_proportion_of_each_book_typed"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Creating a chart that compares the number of characters in each book with the number that have been typed:\n",
    "\n",
    "This provides a clearer view of the player's progress in typing the Bible, as each bar's height is based on the number of characters. (In contrast, bars for fully typed small books will be just as high in fig_proportion_of_each_book_typed as those for fully typed large books.)"
   ]
  },
  {
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           "yaxis": {
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            "gridwidth": 2,
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           "zaxis": {
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           "line": {
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           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
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           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
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            "standoff": 15
           },
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           "zerolinewidth": 2
          }
         }
        },
        "xaxis": {
         "anchor": "y",
         "domain": [
          0,
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         ],
         "title": {
          "text": "Book_Name"
         }
        },
        "yaxis": {
         "anchor": "x",
         "domain": [
          0,
          1
         ],
         "title": {
          "text": "value"
         }
        }
       }
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig_characters_typed_in_each_book = px.bar(df_characters_typed_by_book, \n",
    "x = 'Book_Name', y = ['Characters', 'Characters_Typed'], barmode = 'overlay')\n",
    "fig_characters_typed_in_each_book.write_html(\n",
    "    'Analyses/characters_typed_by_book.html')\n",
    "fig_characters_typed_in_each_book.write_image(\n",
    "    'Analyses/characters_typed_by_book.png', \n",
    "    width = 1920, height = 1080, engine = 'kaleido', scale = 2)\n",
    "fig_characters_typed_in_each_book"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Creating charts that show both book- and chapter-level data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\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>Book_Order</th>\n",
       "      <th>Book_Name</th>\n",
       "      <th>Book_and_Chapter</th>\n",
       "      <th>Characters</th>\n",
       "      <th>Characters_Typed</th>\n",
       "      <th>proportion_typed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>GEN</td>\n",
       "      <td>GEN 1</td>\n",
       "      <td>3831</td>\n",
       "      <td>3831</td>\n",
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       "      <td>2582</td>\n",
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       "      <td>3435</td>\n",
       "      <td>3435</td>\n",
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       "    <tr>\n",
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       "      <td>1</td>\n",
       "      <td>GEN</td>\n",
       "      <td>GEN 12</td>\n",
       "      <td>2473</td>\n",
       "      <td>2473</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>GEN</td>\n",
       "      <td>GEN 13</td>\n",
       "      <td>2169</td>\n",
       "      <td>2169</td>\n",
       "      <td>1.0</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <th>1323</th>\n",
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       "      <td>2054</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>1324</th>\n",
       "      <td>95</td>\n",
       "      <td>REV</td>\n",
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       "      <td>2503</td>\n",
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       "      <th>1325</th>\n",
       "      <td>95</td>\n",
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       "      <td>2452</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>1326</th>\n",
       "      <td>95</td>\n",
       "      <td>REV</td>\n",
       "      <td>REV 8</td>\n",
       "      <td>1900</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>1327</th>\n",
       "      <td>95</td>\n",
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       "      <td>2838</td>\n",
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       "<p>1328 rows × 6 columns</p>\n",
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       "      Book_Order Book_Name Book_and_Chapter  Characters  Characters_Typed  \\\n",
       "0              1       GEN            GEN 1        3831              3831   \n",
       "1              1       GEN           GEN 10        2582              2582   \n",
       "2              1       GEN           GEN 11        3435              3435   \n",
       "3              1       GEN           GEN 12        2473              2473   \n",
       "4              1       GEN           GEN 13        2169              2169   \n",
       "...          ...       ...              ...         ...               ...   \n",
       "1323          95       REV            REV 5        2054                 0   \n",
       "1324          95       REV            REV 6        2503                 0   \n",
       "1325          95       REV            REV 7        2452                 0   \n",
       "1326          95       REV            REV 8        1900                 0   \n",
       "1327          95       REV            REV 9        2838                 0   \n",
       "\n",
       "      proportion_typed  \n",
       "0                  1.0  \n",
       "1                  1.0  \n",
       "2                  1.0  \n",
       "3                  1.0  \n",
       "4                  1.0  \n",
       "...                ...  \n",
       "1323               0.0  \n",
       "1324               0.0  \n",
       "1325               0.0  \n",
       "1326               0.0  \n",
       "1327               0.0  \n",
       "\n",
       "[1328 rows x 6 columns]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_characters_typed_by_book_and_chapter = df_Bible.pivot_table(index = [\n",
    "'Book_Order', 'Book_Name', 'Book_and_Chapter'], values = [\n",
    "    'Characters', 'Characters_Typed'], aggfunc = 'sum').reset_index()\n",
    "df_characters_typed_by_book_and_chapter[\n",
    "'proportion_typed'] = df_characters_typed_by_book_and_chapter[\n",
    "'Characters_Typed'] / df_characters_typed_by_book_and_chapter['Characters']\n",
    "df_characters_typed_by_book_and_chapter.to_csv(\n",
    "    'Analyses/characters_typed_by_book_and_chapter.csv')\n",
    "df_characters_typed_by_book_and_chapter"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The following chart shows both books (as bars) and chapters (as sections of these bars). These sections are also color coded by the proportion of each chapter that has been typed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
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        "yaxis": {
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          "text": "value"
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     },
     "metadata": {},
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   ],
   "source": [
    "fig_characters_typed_in_each_book_and_chapter = px.bar(\n",
    "df_characters_typed_by_book_and_chapter, x = 'Book_Name', y = [\n",
    "    'Characters'], color = 'proportion_typed')\n",
    "fig_characters_typed_in_each_book_and_chapter.write_html(\n",
    "    'Analyses/characters_typed_by_book_and_chapter.html')\n",
    "fig_characters_typed_in_each_book_and_chapter.write_image(\n",
    "    'Analyses/characters_typed_by_book_and_chapter.png', \n",
    "    width = 1920, height = 1080, engine = 'kaleido', scale = 2)\n",
    "fig_characters_typed_in_each_book_and_chapter"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Creating similar charts at the chapter level:\n",
    "\n",
    "These proved difficult to interpret due to the narrowness of the bars, so I'm commenting this code out for now."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "# fig_proportion_of_each_chapter_typed = px.bar(df_characters_typed_by_chapter, \n",
    "# x = 'Book_and_Chapter', y = 'proportion_typed')\n",
    "# fig_proportion_of_each_chapter_typed.update_yaxes(range = [0, 1]) # Setting\n",
    "# # the maximum y value as 1 better demonstrates how much of the Bible\n",
    "# # has been typed so far\n",
    "# fig_proportion_of_each_chapter_typed.write_html(\n",
    "# 'Analyses/proportion_of_each_chapter_typed.html')\n",
    "# fig_proportion_of_each_chapter_typed\n",
    "\n",
    "# fig_characters_typed_in_each_chapter = px.bar(df_characters_typed_by_chapter, \n",
    "# x = 'Book_and_Chapter', y = ['Characters', 'Characters_Typed'], \n",
    "# barmode = 'overlay')\n",
    "# fig_characters_typed_in_each_chapter.write_html(\n",
    "# 'Analyses/characters_typed_by_chapter.html')\n",
    "# fig_characters_typed_in_each_chapter"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Calculating the dates with the most characters and verses typed:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_top_dates_by_characters = df_results.pivot_table(\n",
    "    index = 'Local_Date', values = 'Characters', aggfunc = 'sum').reset_index(\n",
    "    ).sort_values('Characters', ascending = False).head(50)\n",
    "df_top_dates_by_characters['Rank'] = df_top_dates_by_characters[\n",
    "    'Characters'].rank(ascending = False, method = 'min').astype('int')\n",
    "# Creating a column that shows both the rank and date: (This also prevents\n",
    "# Plotly from converting the x axis to a date range, which would interfere\n",
    "# with the order of the chart items)\n",
    "df_top_dates_by_characters['Rank and Date'] = '#'+df_top_dates_by_characters[\n",
    "    'Rank'].astype('str') + ': ' + df_top_dates_by_characters[\n",
    "        'Local_Date'].astype('str')\n",
    "df_top_dates_by_characters.reset_index(drop=True,inplace=True)"
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  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
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          "#7: 2023-10-24",
          "#8: 2023-10-25",
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    "fig_top_dates_by_characters = px.bar(df_top_dates_by_characters, \n",
    "x = 'Rank and Date', y = 'Characters')\n",
    "fig_top_dates_by_characters.update_xaxes(tickangle = 90)\n",
    "fig_top_dates_by_characters.write_html('Analyses/top_dates_by_characters.html')\n",
    "fig_top_dates_by_characters.write_image(\n",
    "    'Analyses/top_dates_by_characters.png', \n",
    "    width = 1920, height = 1080, engine = 'kaleido', scale = 2)\n",
    "fig_top_dates_by_characters"
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  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
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       "      <th>Local_Date</th>\n",
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       "    Local_Date  Verses  Rank    Rank and Date\n",
       "0   2023-10-29     251     1   #1: 2023-10-29\n",
       "1   2023-11-05     201     2   #2: 2023-11-05\n",
       "2   2023-11-03     103     3   #3: 2023-11-03\n",
       "3   2023-11-06      51     4   #4: 2023-11-06\n",
       "4   2023-10-31      39     5   #5: 2023-10-31\n",
       "5   2023-11-04      23     6   #6: 2023-11-04\n",
       "6   2023-10-24      21     7   #7: 2023-10-24\n",
       "7   2023-10-25      12     8   #8: 2023-10-25\n",
       "8   2023-10-28       8     9   #9: 2023-10-28\n",
       "9   2023-11-02       6    10  #10: 2023-11-02\n",
       "10  2023-10-27       1    11  #11: 2023-10-27\n",
       "11  2023-11-01       1    11  #11: 2023-11-01"
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    "df_top_dates_by_verses = df_results.pivot_table(\n",
    "    index = 'Local_Date', values = 'Count', aggfunc = 'sum').reset_index(\n",
    "    ).rename(columns = {'Count':'Verses'}).sort_values(\n",
    "        'Verses', ascending = False).head(50)\n",
    "\n",
    "\n",
    "df_top_dates_by_verses['Rank'] = df_top_dates_by_verses['Verses'].rank(\n",
    "    ascending = False, method = 'min').astype('int')\n",
    "df_top_dates_by_verses['Rank and Date'] = '#'+df_top_dates_by_verses[\n",
    "    'Rank'].astype('str') + ': ' + df_top_dates_by_verses[\n",
    "        'Local_Date'].astype('str')\n",
    "df_top_dates_by_verses.reset_index(drop=True,inplace=True)\n",
    "df_top_dates_by_verses"
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   ],
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    "fig_top_dates_by_verses = px.bar(df_top_dates_by_verses, \n",
    "x = 'Rank and Date', y = 'Verses')\n",
    "fig_top_dates_by_verses.update_xaxes(tickangle = 90)\n",
    "fig_top_dates_by_verses.write_html('Analyses/top_dates_by_verses.html')\n",
    "fig_top_dates_by_verses.write_image(\n",
    "    'Analyses/top_dates_by_verses.png', \n",
    "    width = 1920, height = 1080, engine = 'kaleido', scale = 2)\n",
    "fig_top_dates_by_verses"
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  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Performing similar analyses by month:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Local_Year</th>\n",
       "      <th>Local_Month</th>\n",
       "      <th>Characters</th>\n",
       "      <th>Rank</th>\n",
       "      <th>Rank and Month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2023</td>\n",
       "      <td>11</td>\n",
       "      <td>45427</td>\n",
       "      <td>1</td>\n",
       "      <td>#1: 2023-11</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2023</td>\n",
       "      <td>10</td>\n",
       "      <td>38076</td>\n",
       "      <td>2</td>\n",
       "      <td>#2: 2023-10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      "text/plain": [
       "   Local_Year  Local_Month  Characters  Rank Rank and Month\n",
       "0        2023           11       45427     1    #1: 2023-11\n",
       "1        2023           10       38076     2    #2: 2023-10"
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     },
     "execution_count": 44,
     "metadata": {},
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    "df_top_months_by_characters = df_results.pivot_table(\n",
    "    index = ['Local_Year', 'Local_Month'], \n",
    "    values = 'Characters', aggfunc = 'sum').reset_index(\n",
    "    ).sort_values('Characters', ascending = False).head(50)\n",
    "\n",
    "df_top_months_by_characters['Rank'] = df_top_months_by_characters[\n",
    "'Characters'].rank(ascending = False, method = 'min').astype('int')\n",
    "df_top_months_by_characters['Rank and Month'] = '#'+df_top_months_by_characters[\n",
    "    'Rank'].astype('str') + ': ' + df_top_months_by_characters[\n",
    "        'Local_Year'].astype('str') + '-' + df_top_months_by_characters[\n",
    "            'Local_Month'].astype('str')\n",
    "df_top_months_by_characters.reset_index(drop=True,inplace=True)\n",
    "\n",
    "df_top_months_by_characters"
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    "fig_top_months_by_characters = px.bar(df_top_months_by_characters, \n",
    "x = 'Rank and Month', y = 'Characters')\n",
    "fig_top_months_by_characters.update_xaxes(tickangle = 90)\n",
    "fig_top_months_by_characters.write_html(\n",
    "    'Analyses/top_months_by_characters.html')\n",
    "fig_top_months_by_characters.write_image(\n",
    "    'Analyses/top_months_by_characters.png', \n",
    "    width = 1920, height = 1080, engine = 'kaleido', scale = 2)\n",
    "fig_top_months_by_characters"
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  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
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       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Local_Year</th>\n",
       "      <th>Local_Month</th>\n",
       "      <th>Verses</th>\n",
       "      <th>Rank</th>\n",
       "      <th>Rank and Month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2023</td>\n",
       "      <td>11</td>\n",
       "      <td>385</td>\n",
       "      <td>1</td>\n",
       "      <td>#1: 2023-11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2023</td>\n",
       "      <td>10</td>\n",
       "      <td>332</td>\n",
       "      <td>2</td>\n",
       "      <td>#2: 2023-10</td>\n",
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       "   Local_Year  Local_Month  Verses  Rank Rank and Month\n",
       "0        2023           11     385     1    #1: 2023-11\n",
       "1        2023           10     332     2    #2: 2023-10"
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     },
     "execution_count": 46,
     "metadata": {},
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    "df_top_months_by_verses = df_results.pivot_table(\n",
    "    index = ['Local_Year', 'Local_Month'], \n",
    "    values = 'Count', aggfunc = 'sum').reset_index(\n",
    "    ).rename(columns={'Count':'Verses'}).sort_values(\n",
    "        'Verses', ascending = False).head(50)\n",
    "\n",
    "df_top_months_by_verses['Rank'] = df_top_months_by_verses['Verses'].rank(\n",
    "    ascending = False, method = 'min').astype('int')\n",
    "df_top_months_by_verses['Rank and Month'] = '#'+df_top_months_by_verses[\n",
    "    'Rank'].astype('str') + ': ' + df_top_months_by_verses[\n",
    "        'Local_Year'].astype('str') + '-' + df_top_months_by_verses[\n",
    "            'Local_Month'].astype('str')\n",
    "df_top_months_by_verses.reset_index(drop=True,inplace=True)\n",
    "\n",
    "df_top_months_by_verses"
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           "landcolor": "#E5ECF6",
           "showlakes": true,
           "showland": true,
           "subunitcolor": "white"
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          "hoverlabel": {
           "align": "left"
          },
          "hovermode": "closest",
          "mapbox": {
           "style": "light"
          },
          "paper_bgcolor": "white",
          "plot_bgcolor": "#E5ECF6",
          "polar": {
           "angularaxis": {
            "gridcolor": "white",
            "linecolor": "white",
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           },
           "bgcolor": "#E5ECF6",
           "radialaxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "scene": {
           "xaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
           },
           "yaxis": {
            "backgroundcolor": "#E5ECF6",
            "gridcolor": "white",
            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
            "ticks": "",
            "zerolinecolor": "white"
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           "zaxis": {
            "backgroundcolor": "#E5ECF6",
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          },
          "shapedefaults": {
           "line": {
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          "ternary": {
           "aaxis": {
            "gridcolor": "white",
            "linecolor": "white",
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           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
           },
           "zerolinecolor": "white",
           "zerolinewidth": 2
          }
         }
        },
        "xaxis": {
         "anchor": "y",
         "domain": [
          0,
          1
         ],
         "tickangle": 90,
         "title": {
          "text": "Rank and Month"
         }
        },
        "yaxis": {
         "anchor": "x",
         "domain": [
          0,
          1
         ],
         "title": {
          "text": "Verses"
         }
        }
       }
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig_top_months_by_verses = px.bar(df_top_months_by_verses, \n",
    "x = 'Rank and Month', y = 'Verses')\n",
    "fig_top_months_by_verses.update_xaxes(tickangle = 90)\n",
    "fig_top_months_by_verses.write_html('Analyses/top_months_by_verses.html')\n",
    "fig_top_months_by_verses.write_image(\n",
    "    'Analyses/top_months_by_verses.png', \n",
    "    width = 1920, height = 1080, engine = 'kaleido', scale = 2)\n",
    "fig_top_months_by_verses"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Analyzing WPM data:\n",
    "\n",
    "(Some of this section's code derives from my work in [this script](https://github.com/kburchfiel/typeracer_data_analyzer/blob/master/typeracer_data_analyzer_v2.ipynb).)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Top 20 WPM results:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Rank</th>\n",
       "      <th>Unix_Start_Time</th>\n",
       "      <th>Local_Start_Time</th>\n",
       "      <th>UTC_Start_Time</th>\n",
       "      <th>Characters</th>\n",
       "      <th>Seconds</th>\n",
       "      <th>CPS</th>\n",
       "      <th>WPM</th>\n",
       "      <th>Book</th>\n",
       "      <th>Chapter</th>\n",
       "      <th>Verse_Order</th>\n",
       "      <th>Verse</th>\n",
       "      <th>Verse #</th>\n",
       "      <th>Last 10 Avg</th>\n",
       "      <th>Last 100 Avg</th>\n",
       "      <th>Last 1000 Avg</th>\n",
       "      <th>cumulative_avg</th>\n",
       "      <th>Local_Year</th>\n",
       "      <th>Local_Month</th>\n",
       "      <th>Local_Hour</th>\n",
       "      <th>Count</th>\n",
       "      <th>Local_Date</th>\n",
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       "    <tr>\n",
       "      <th>Test_Number</th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>1</td>\n",
       "      <td>1.698284e+09</td>\n",
       "      <td>2023-10-25T21:29:51.817669</td>\n",
       "      <td>2023-10-26T01:29:51.817669+00:00</td>\n",
       "      <td>56</td>\n",
       "      <td>3.477334</td>\n",
       "      <td>16.104292</td>\n",
       "      <td>193.251509</td>\n",
       "      <td>GEN</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>In the beginning, God created the heavens and ...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>148.772233</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>129.881</td>\n",
       "      <td>2023</td>\n",
       "      <td>10</td>\n",
       "      <td>21</td>\n",
       "      <td>1</td>\n",
       "      <td>2023-10-25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2</td>\n",
       "      <td>1.698284e+09</td>\n",
       "      <td>2023-10-25T21:28:14.539133</td>\n",
       "      <td>2023-10-26T01:28:14.539133+00:00</td>\n",
       "      <td>56</td>\n",
       "      <td>3.647492</td>\n",
       "      <td>15.353016</td>\n",
       "      <td>184.236198</td>\n",
       "      <td>GEN</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>In the beginning, God created the heavens and ...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>139.936067</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>127.120</td>\n",
       "      <td>2023</td>\n",
       "      <td>10</td>\n",
       "      <td>21</td>\n",
       "      <td>1</td>\n",
       "      <td>2023-10-25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>3</td>\n",
       "      <td>1.698623e+09</td>\n",
       "      <td>2023-10-29T19:47:07.670908</td>\n",
       "      <td>2023-10-29T23:47:07.670908+00:00</td>\n",
       "      <td>116</td>\n",
       "      <td>7.586424</td>\n",
       "      <td>15.290472</td>\n",
       "      <td>183.485667</td>\n",
       "      <td>GEN</td>\n",
       "      <td>4</td>\n",
       "      <td>91</td>\n",
       "      <td>Now you are cursed because of the ground, whic...</td>\n",
       "      <td>11.0</td>\n",
       "      <td>138.576366</td>\n",
       "      <td>135.941792</td>\n",
       "      <td>NaN</td>\n",
       "      <td>136.777</td>\n",
       "      <td>2023</td>\n",
       "      <td>10</td>\n",
       "      <td>19</td>\n",
       "      <td>1</td>\n",
       "      <td>2023-10-29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>475</th>\n",
       "      <td>4</td>\n",
       "      <td>1.699225e+09</td>\n",
       "      <td>2023-11-05T18:03:12.524331</td>\n",
       "      <td>2023-11-05T23:03:12.524331+00:00</td>\n",
       "      <td>136</td>\n",
       "      <td>8.960011</td>\n",
       "      <td>15.178554</td>\n",
       "      <td>182.142643</td>\n",
       "      <td>GEN</td>\n",
       "      <td>13</td>\n",
       "      <td>325</td>\n",
       "      <td>The land was not able to bear them, that they ...</td>\n",
       "      <td>6.0</td>\n",
       "      <td>137.696853</td>\n",
       "      <td>129.020199</td>\n",
       "      <td>NaN</td>\n",
       "      <td>135.319</td>\n",
       "      <td>2023</td>\n",
       "      <td>11</td>\n",
       "      <td>18</td>\n",
       "      <td>1</td>\n",
       "      <td>2023-11-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>341</th>\n",
       "      <td>5</td>\n",
       "      <td>1.699066e+09</td>\n",
       "      <td>2023-11-03T22:48:34.354652</td>\n",
       "      <td>2023-11-04T02:48:34.354652+00:00</td>\n",
       "      <td>77</td>\n",
       "      <td>5.072950</td>\n",
       "      <td>15.178545</td>\n",
       "      <td>182.142544</td>\n",
       "      <td>GEN</td>\n",
       "      <td>8</td>\n",
       "      <td>194</td>\n",
       "      <td>He waited yet another seven days; and again he...</td>\n",
       "      <td>10.0</td>\n",
       "      <td>149.265970</td>\n",
       "      <td>134.422066</td>\n",
       "      <td>NaN</td>\n",
       "      <td>136.074</td>\n",
       "      <td>2023</td>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>1</td>\n",
       "      <td>2023-11-03</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>96</td>\n",
       "      <td>1.698621e+09</td>\n",
       "      <td>2023-10-29T19:09:45.085867</td>\n",
       "      <td>2023-10-29T23:09:45.085867+00:00</td>\n",
       "      <td>117</td>\n",
       "      <td>9.005528</td>\n",
       "      <td>12.992020</td>\n",
       "      <td>155.904241</td>\n",
       "      <td>1JN</td>\n",
       "      <td>4</td>\n",
       "      <td>34891</td>\n",
       "      <td>In this is love, not that we loved God, but th...</td>\n",
       "      <td>10.0</td>\n",
       "      <td>143.843474</td>\n",
       "      <td>139.440073</td>\n",
       "      <td>NaN</td>\n",
       "      <td>137.005</td>\n",
       "      <td>2023</td>\n",
       "      <td>10</td>\n",
       "      <td>19</td>\n",
       "      <td>1</td>\n",
       "      <td>2023-10-29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>431</th>\n",
       "      <td>97</td>\n",
       "      <td>1.699068e+09</td>\n",
       "      <td>2023-11-03T23:27:05.747463</td>\n",
       "      <td>2023-11-04T03:27:05.747463+00:00</td>\n",
       "      <td>123</td>\n",
       "      <td>9.469353</td>\n",
       "      <td>12.989271</td>\n",
       "      <td>155.871255</td>\n",
       "      <td>GEN</td>\n",
       "      <td>11</td>\n",
       "      <td>284</td>\n",
       "      <td>Eber lived four hundred thirty years after he ...</td>\n",
       "      <td>17.0</td>\n",
       "      <td>146.713616</td>\n",
       "      <td>135.621268</td>\n",
       "      <td>NaN</td>\n",
       "      <td>135.663</td>\n",
       "      <td>2023</td>\n",
       "      <td>11</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>2023-11-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>363</th>\n",
       "      <td>98</td>\n",
       "      <td>1.699066e+09</td>\n",
       "      <td>2023-11-03T22:54:08.596196</td>\n",
       "      <td>2023-11-04T02:54:08.596196+00:00</td>\n",
       "      <td>178</td>\n",
       "      <td>13.713111</td>\n",
       "      <td>12.980279</td>\n",
       "      <td>155.763346</td>\n",
       "      <td>GEN</td>\n",
       "      <td>9</td>\n",
       "      <td>216</td>\n",
       "      <td>and with every living creature that is with yo...</td>\n",
       "      <td>10.0</td>\n",
       "      <td>149.406005</td>\n",
       "      <td>138.101412</td>\n",
       "      <td>NaN</td>\n",
       "      <td>136.569</td>\n",
       "      <td>2023</td>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>1</td>\n",
       "      <td>2023-11-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>259</th>\n",
       "      <td>99</td>\n",
       "      <td>1.698624e+09</td>\n",
       "      <td>2023-10-29T19:53:40.592126</td>\n",
       "      <td>2023-10-29T23:53:40.592126+00:00</td>\n",
       "      <td>124</td>\n",
       "      <td>9.557548</td>\n",
       "      <td>12.974039</td>\n",
       "      <td>155.688470</td>\n",
       "      <td>GEN</td>\n",
       "      <td>5</td>\n",
       "      <td>113</td>\n",
       "      <td>Seth lived after he became the father of Enosh...</td>\n",
       "      <td>7.0</td>\n",
       "      <td>133.912792</td>\n",
       "      <td>133.888027</td>\n",
       "      <td>NaN</td>\n",
       "      <td>136.120</td>\n",
       "      <td>2023</td>\n",
       "      <td>10</td>\n",
       "      <td>19</td>\n",
       "      <td>1</td>\n",
       "      <td>2023-10-29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477</th>\n",
       "      <td>100</td>\n",
       "      <td>1.699226e+09</td>\n",
       "      <td>2023-11-05T18:05:43.593426</td>\n",
       "      <td>2023-11-05T23:05:43.593426+00:00</td>\n",
       "      <td>135</td>\n",
       "      <td>10.412765</td>\n",
       "      <td>12.964856</td>\n",
       "      <td>155.578277</td>\n",
       "      <td>GEN</td>\n",
       "      <td>13</td>\n",
       "      <td>327</td>\n",
       "      <td>Abram said to Lot, \"Please, let there be no st...</td>\n",
       "      <td>8.0</td>\n",
       "      <td>142.907447</td>\n",
       "      <td>128.775392</td>\n",
       "      <td>NaN</td>\n",
       "      <td>135.344</td>\n",
       "      <td>2023</td>\n",
       "      <td>11</td>\n",
       "      <td>18</td>\n",
       "      <td>1</td>\n",
       "      <td>2023-11-05</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Rank  Unix_Start_Time            Local_Start_Time  \\\n",
       "Test_Number                                                      \n",
       "29              1     1.698284e+09  2023-10-25T21:29:51.817669   \n",
       "26              2     1.698284e+09  2023-10-25T21:28:14.539133   \n",
       "237             3     1.698623e+09  2023-10-29T19:47:07.670908   \n",
       "475             4     1.699225e+09  2023-11-05T18:03:12.524331   \n",
       "341             5     1.699066e+09  2023-11-03T22:48:34.354652   \n",
       "...           ...              ...                         ...   \n",
       "130            96     1.698621e+09  2023-10-29T19:09:45.085867   \n",
       "431            97     1.699068e+09  2023-11-03T23:27:05.747463   \n",
       "363            98     1.699066e+09  2023-11-03T22:54:08.596196   \n",
       "259            99     1.698624e+09  2023-10-29T19:53:40.592126   \n",
       "477           100     1.699226e+09  2023-11-05T18:05:43.593426   \n",
       "\n",
       "                               UTC_Start_Time  Characters    Seconds  \\\n",
       "Test_Number                                                            \n",
       "29           2023-10-26T01:29:51.817669+00:00          56   3.477334   \n",
       "26           2023-10-26T01:28:14.539133+00:00          56   3.647492   \n",
       "237          2023-10-29T23:47:07.670908+00:00         116   7.586424   \n",
       "475          2023-11-05T23:03:12.524331+00:00         136   8.960011   \n",
       "341          2023-11-04T02:48:34.354652+00:00          77   5.072950   \n",
       "...                                       ...         ...        ...   \n",
       "130          2023-10-29T23:09:45.085867+00:00         117   9.005528   \n",
       "431          2023-11-04T03:27:05.747463+00:00         123   9.469353   \n",
       "363          2023-11-04T02:54:08.596196+00:00         178  13.713111   \n",
       "259          2023-10-29T23:53:40.592126+00:00         124   9.557548   \n",
       "477          2023-11-05T23:05:43.593426+00:00         135  10.412765   \n",
       "\n",
       "                   CPS         WPM Book  Chapter  Verse_Order  \\\n",
       "Test_Number                                                     \n",
       "29           16.104292  193.251509  GEN        1            1   \n",
       "26           15.353016  184.236198  GEN        1            1   \n",
       "237          15.290472  183.485667  GEN        4           91   \n",
       "475          15.178554  182.142643  GEN       13          325   \n",
       "341          15.178545  182.142544  GEN        8          194   \n",
       "...                ...         ...  ...      ...          ...   \n",
       "130          12.992020  155.904241  1JN        4        34891   \n",
       "431          12.989271  155.871255  GEN       11          284   \n",
       "363          12.980279  155.763346  GEN        9          216   \n",
       "259          12.974039  155.688470  GEN        5          113   \n",
       "477          12.964856  155.578277  GEN       13          327   \n",
       "\n",
       "                                                         Verse  Verse #  \\\n",
       "Test_Number                                                               \n",
       "29           In the beginning, God created the heavens and ...      1.0   \n",
       "26           In the beginning, God created the heavens and ...      1.0   \n",
       "237          Now you are cursed because of the ground, whic...     11.0   \n",
       "475          The land was not able to bear them, that they ...      6.0   \n",
       "341          He waited yet another seven days; and again he...     10.0   \n",
       "...                                                        ...      ...   \n",
       "130          In this is love, not that we loved God, but th...     10.0   \n",
       "431          Eber lived four hundred thirty years after he ...     17.0   \n",
       "363          and with every living creature that is with yo...     10.0   \n",
       "259          Seth lived after he became the father of Enosh...      7.0   \n",
       "477          Abram said to Lot, \"Please, let there be no st...      8.0   \n",
       "\n",
       "             Last 10 Avg  Last 100 Avg  Last 1000 Avg  cumulative_avg  \\\n",
       "Test_Number                                                             \n",
       "29            148.772233           NaN            NaN         129.881   \n",
       "26            139.936067           NaN            NaN         127.120   \n",
       "237           138.576366    135.941792            NaN         136.777   \n",
       "475           137.696853    129.020199            NaN         135.319   \n",
       "341           149.265970    134.422066            NaN         136.074   \n",
       "...                  ...           ...            ...             ...   \n",
       "130           143.843474    139.440073            NaN         137.005   \n",
       "431           146.713616    135.621268            NaN         135.663   \n",
       "363           149.406005    138.101412            NaN         136.569   \n",
       "259           133.912792    133.888027            NaN         136.120   \n",
       "477           142.907447    128.775392            NaN         135.344   \n",
       "\n",
       "             Local_Year  Local_Month  Local_Hour  Count  Local_Date  \n",
       "Test_Number                                                          \n",
       "29                 2023           10          21      1  2023-10-25  \n",
       "26                 2023           10          21      1  2023-10-25  \n",
       "237                2023           10          19      1  2023-10-29  \n",
       "475                2023           11          18      1  2023-11-05  \n",
       "341                2023           11          22      1  2023-11-03  \n",
       "...                 ...          ...         ...    ...         ...  \n",
       "130                2023           10          19      1  2023-10-29  \n",
       "431                2023           11          23      1  2023-11-03  \n",
       "363                2023           11          22      1  2023-11-03  \n",
       "259                2023           10          19      1  2023-10-29  \n",
       "477                2023           11          18      1  2023-11-05  \n",
       "\n",
       "[100 rows x 22 columns]"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "df_top_100_wpm = df_results.sort_values('WPM', ascending = False).head(\n",
    "    100).copy()\n",
    "df_top_100_wpm.insert(0, 'Rank', df_top_100_wpm['WPM'].rank(\n",
    "    ascending = False, method = 'min').astype('int'))\n",
    "# method = 'min' assigns the lowest rank to any rows that happen to have\n",
    "# the same WPM. See \n",
    "# https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.rank.html\n",
    "df_top_100_wpm.to_csv('Analyses/top_100_wpm.csv')\n",
    "df_top_100_wpm"
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          },
          "shapedefaults": {
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            "gridcolor": "white",
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           "baxis": {
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           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
            "standoff": 15
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           "zerolinewidth": 2
          },
          "yaxis": {
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         }
        },
        "xaxis": {
         "anchor": "y",
         "domain": [
          0,
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         ],
         "title": {
          "text": "Rank"
         }
        },
        "yaxis": {
         "anchor": "x",
         "domain": [
          0,
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          "text": "WPM"
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        }
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      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig_top_100_wpm = px.bar(df_top_100_wpm, x = 'Rank', y = 'WPM')\n",
    "fig_top_100_wpm.write_html('Analyses/top_100_wpm.html')\n",
    "fig_top_100_wpm.write_image('Analyses/top_100_wpm.png', \n",
    "width = 1920, height = 1080, engine = 'kaleido', scale = 2)\n",
    "fig_top_100_wpm"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Top 20 'Last 10 Average' values:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>Unix_Start_Time</th>\n",
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       "      <th>375</th>\n",
       "      <td>1.699067e+09</td>\n",
       "      <td>2023-11-03T22:57:11.140166</td>\n",
       "      <td>2023-11-04T02:57:11.140166+00:00</td>\n",
       "      <td>94</td>\n",
       "      <td>6.981140</td>\n",
       "      <td>13.464850</td>\n",
       "      <td>161.578203</td>\n",
       "      <td>GEN</td>\n",
       "      <td>9</td>\n",
       "      <td>228</td>\n",
       "      <td>Ham, the father of Canaan, saw the nakedness o...</td>\n",
       "      <td>22.0</td>\n",
       "      <td>155.189199</td>\n",
       "      <td>140.005204</td>\n",
       "      <td>NaN</td>\n",
       "      <td>136.999</td>\n",
       "      <td>2023</td>\n",
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       "      <td>22</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>346</th>\n",
       "      <td>1.699066e+09</td>\n",
       "      <td>2023-11-03T22:50:09.696543</td>\n",
       "      <td>2023-11-04T02:50:09.696543+00:00</td>\n",
       "      <td>26</td>\n",
       "      <td>2.098202</td>\n",
       "      <td>12.391561</td>\n",
       "      <td>148.698727</td>\n",
       "      <td>GEN</td>\n",
       "      <td>8</td>\n",
       "      <td>199</td>\n",
       "      <td>God spoke to Noah, saying,</td>\n",
       "      <td>15.0</td>\n",
       "      <td>154.501316</td>\n",
       "      <td>135.941614</td>\n",
       "      <td>NaN</td>\n",
       "      <td>136.214</td>\n",
       "      <td>2023</td>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>1</td>\n",
       "      <td>2023-11-03</td>\n",
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       "    <tr>\n",
       "      <th>345</th>\n",
       "      <td>1.699066e+09</td>\n",
       "      <td>2023-11-03T22:49:56.583535</td>\n",
       "      <td>2023-11-04T02:49:56.583535+00:00</td>\n",
       "      <td>79</td>\n",
       "      <td>6.649562</td>\n",
       "      <td>11.880482</td>\n",
       "      <td>142.565789</td>\n",
       "      <td>GEN</td>\n",
       "      <td>8</td>\n",
       "      <td>198</td>\n",
       "      <td>In the second month, on the twenty-seventh day...</td>\n",
       "      <td>14.0</td>\n",
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       "      <td>135.389865</td>\n",
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       "      <td>1</td>\n",
       "      <td>2023-11-03</td>\n",
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       "    <tr>\n",
       "      <th>369</th>\n",
       "      <td>1.699067e+09</td>\n",
       "      <td>2023-11-03T22:56:04.797137</td>\n",
       "      <td>2023-11-04T02:56:04.797137+00:00</td>\n",
       "      <td>171</td>\n",
       "      <td>13.394990</td>\n",
       "      <td>12.765967</td>\n",
       "      <td>153.191607</td>\n",
       "      <td>GEN</td>\n",
       "      <td>9</td>\n",
       "      <td>222</td>\n",
       "      <td>The rainbow will be in the cloud. I will look ...</td>\n",
       "      <td>16.0</td>\n",
       "      <td>154.131763</td>\n",
       "      <td>139.205292</td>\n",
       "      <td>NaN</td>\n",
       "      <td>136.805</td>\n",
       "      <td>2023</td>\n",
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       "      <th>376</th>\n",
       "      <td>1.699067e+09</td>\n",
       "      <td>2023-11-03T22:57:19.430587</td>\n",
       "      <td>2023-11-04T02:57:19.430587+00:00</td>\n",
       "      <td>205</td>\n",
       "      <td>16.778885</td>\n",
       "      <td>12.217737</td>\n",
       "      <td>146.612842</td>\n",
       "      <td>GEN</td>\n",
       "      <td>9</td>\n",
       "      <td>229</td>\n",
       "      <td>Shem and Japheth took a garment, and laid it o...</td>\n",
       "      <td>23.0</td>\n",
       "      <td>152.531903</td>\n",
       "      <td>140.209026</td>\n",
       "      <td>NaN</td>\n",
       "      <td>137.025</td>\n",
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       "      <th>377</th>\n",
       "      <td>1.699067e+09</td>\n",
       "      <td>2023-11-03T22:57:39.277346</td>\n",
       "      <td>2023-11-04T02:57:39.277346+00:00</td>\n",
       "      <td>73</td>\n",
       "      <td>5.463816</td>\n",
       "      <td>13.360626</td>\n",
       "      <td>160.327516</td>\n",
       "      <td>GEN</td>\n",
       "      <td>9</td>\n",
       "      <td>230</td>\n",
       "      <td>Noah awoke from his wine, and knew what his yo...</td>\n",
       "      <td>24.0</td>\n",
       "      <td>151.801505</td>\n",
       "      <td>140.348312</td>\n",
       "      <td>NaN</td>\n",
       "      <td>137.087</td>\n",
       "      <td>2023</td>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>1</td>\n",
       "      <td>2023-11-03</td>\n",
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       "    <tr>\n",
       "      <th>374</th>\n",
       "      <td>1.699067e+09</td>\n",
       "      <td>2023-11-03T22:57:05.278503</td>\n",
       "      <td>2023-11-04T02:57:05.278503+00:00</td>\n",
       "      <td>69</td>\n",
       "      <td>4.693784</td>\n",
       "      <td>14.700292</td>\n",
       "      <td>176.403507</td>\n",
       "      <td>GEN</td>\n",
       "      <td>9</td>\n",
       "      <td>227</td>\n",
       "      <td>He drank of the wine and got drunk. He was unc...</td>\n",
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       "      <td>139.896429</td>\n",
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       "      <td>136.933</td>\n",
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       "      <th>344</th>\n",
       "      <td>1.699066e+09</td>\n",
       "      <td>2023-11-03T22:49:38.177286</td>\n",
       "      <td>2023-11-04T02:49:38.177286+00:00</td>\n",
       "      <td>217</td>\n",
       "      <td>15.961097</td>\n",
       "      <td>13.595557</td>\n",
       "      <td>163.146679</td>\n",
       "      <td>GEN</td>\n",
       "      <td>8</td>\n",
       "      <td>197</td>\n",
       "      <td>In the six hundred first year, in the first mo...</td>\n",
       "      <td>13.0</td>\n",
       "      <td>151.184573</td>\n",
       "      <td>134.886354</td>\n",
       "      <td>NaN</td>\n",
       "      <td>136.159</td>\n",
       "      <td>2023</td>\n",
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       "      <td>22</td>\n",
       "      <td>1</td>\n",
       "      <td>2023-11-03</td>\n",
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       "    <tr>\n",
       "      <th>368</th>\n",
       "      <td>1.699067e+09</td>\n",
       "      <td>2023-11-03T22:55:51.536428</td>\n",
       "      <td>2023-11-04T02:55:51.536428+00:00</td>\n",
       "      <td>161</td>\n",
       "      <td>11.776451</td>\n",
       "      <td>13.671351</td>\n",
       "      <td>164.056215</td>\n",
       "      <td>GEN</td>\n",
       "      <td>9</td>\n",
       "      <td>221</td>\n",
       "      <td>I will remember my covenant, which is between ...</td>\n",
       "      <td>15.0</td>\n",
       "      <td>150.438336</td>\n",
       "      <td>138.923141</td>\n",
       "      <td>NaN</td>\n",
       "      <td>136.760</td>\n",
       "      <td>2023</td>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>1</td>\n",
       "      <td>2023-11-03</td>\n",
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       "    <tr>\n",
       "      <th>343</th>\n",
       "      <td>1.699066e+09</td>\n",
       "      <td>2023-11-03T22:49:24.201749</td>\n",
       "      <td>2023-11-04T02:49:24.201749+00:00</td>\n",
       "      <td>95</td>\n",
       "      <td>7.094975</td>\n",
       "      <td>13.389757</td>\n",
       "      <td>160.677088</td>\n",
       "      <td>GEN</td>\n",
       "      <td>8</td>\n",
       "      <td>196</td>\n",
       "      <td>He waited yet another seven days, and sent out...</td>\n",
       "      <td>12.0</td>\n",
       "      <td>149.969348</td>\n",
       "      <td>134.253127</td>\n",
       "      <td>NaN</td>\n",
       "      <td>136.080</td>\n",
       "      <td>2023</td>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>1</td>\n",
       "      <td>2023-11-03</td>\n",
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       "    <tr>\n",
       "      <th>347</th>\n",
       "      <td>1.699066e+09</td>\n",
       "      <td>2023-11-03T22:50:13.961122</td>\n",
       "      <td>2023-11-04T02:50:13.961122+00:00</td>\n",
       "      <td>78</td>\n",
       "      <td>8.200206</td>\n",
       "      <td>9.511956</td>\n",
       "      <td>114.143470</td>\n",
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       "      <td>8</td>\n",
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       "      <td>135.645305</td>\n",
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       "      <td>136.150</td>\n",
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       "      <td>22</td>\n",
       "      <td>1</td>\n",
       "      <td>2023-11-03</td>\n",
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       "    <tr>\n",
       "      <th>363</th>\n",
       "      <td>1.699066e+09</td>\n",
       "      <td>2023-11-03T22:54:08.596196</td>\n",
       "      <td>2023-11-04T02:54:08.596196+00:00</td>\n",
       "      <td>178</td>\n",
       "      <td>13.713111</td>\n",
       "      <td>12.980279</td>\n",
       "      <td>155.763346</td>\n",
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       "      <td>9</td>\n",
       "      <td>216</td>\n",
       "      <td>and with every living creature that is with yo...</td>\n",
       "      <td>10.0</td>\n",
       "      <td>149.406005</td>\n",
       "      <td>138.101412</td>\n",
       "      <td>NaN</td>\n",
       "      <td>136.569</td>\n",
       "      <td>2023</td>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>1</td>\n",
       "      <td>2023-11-03</td>\n",
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       "    <tr>\n",
       "      <th>341</th>\n",
       "      <td>1.699066e+09</td>\n",
       "      <td>2023-11-03T22:48:34.354652</td>\n",
       "      <td>2023-11-04T02:48:34.354652+00:00</td>\n",
       "      <td>77</td>\n",
       "      <td>5.072950</td>\n",
       "      <td>15.178545</td>\n",
       "      <td>182.142544</td>\n",
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       "      <td>8</td>\n",
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       "      <td>He waited yet another seven days; and again he...</td>\n",
       "      <td>10.0</td>\n",
       "      <td>149.265970</td>\n",
       "      <td>134.422066</td>\n",
       "      <td>NaN</td>\n",
       "      <td>136.074</td>\n",
       "      <td>2023</td>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>1</td>\n",
       "      <td>2023-11-03</td>\n",
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       "    <tr>\n",
       "      <th>330</th>\n",
       "      <td>1.698793e+09</td>\n",
       "      <td>2023-10-31T18:51:15.987789</td>\n",
       "      <td>2023-10-31T22:51:15.988295+00:00</td>\n",
       "      <td>233</td>\n",
       "      <td>19.420589</td>\n",
       "      <td>11.997576</td>\n",
       "      <td>143.970917</td>\n",
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       "      <td>7</td>\n",
       "      <td>183</td>\n",
       "      <td>Every living thing was destroyed that was on t...</td>\n",
       "      <td>23.0</td>\n",
       "      <td>149.190229</td>\n",
       "      <td>133.552750</td>\n",
       "      <td>NaN</td>\n",
       "      <td>135.780</td>\n",
       "      <td>2023</td>\n",
       "      <td>10</td>\n",
       "      <td>18</td>\n",
       "      <td>1</td>\n",
       "      <td>2023-10-31</td>\n",
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       "    <tr>\n",
       "      <th>348</th>\n",
       "      <td>1.699066e+09</td>\n",
       "      <td>2023-11-03T22:50:23.820411</td>\n",
       "      <td>2023-11-04T02:50:23.820411+00:00</td>\n",
       "      <td>237</td>\n",
       "      <td>19.271681</td>\n",
       "      <td>12.297838</td>\n",
       "      <td>147.574050</td>\n",
       "      <td>GEN</td>\n",
       "      <td>8</td>\n",
       "      <td>201</td>\n",
       "      <td>Bring out with you every living thing that is ...</td>\n",
       "      <td>17.0</td>\n",
       "      <td>148.932454</td>\n",
       "      <td>135.933779</td>\n",
       "      <td>NaN</td>\n",
       "      <td>136.183</td>\n",
       "      <td>2023</td>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>1</td>\n",
       "      <td>2023-11-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>364</th>\n",
       "      <td>1.699066e+09</td>\n",
       "      <td>2023-11-03T22:54:24.455479</td>\n",
       "      <td>2023-11-04T02:54:24.455479+00:00</td>\n",
       "      <td>162</td>\n",
       "      <td>15.375179</td>\n",
       "      <td>10.536462</td>\n",
       "      <td>126.437550</td>\n",
       "      <td>GEN</td>\n",
       "      <td>9</td>\n",
       "      <td>217</td>\n",
       "      <td>I will establish my covenant with you: All fle...</td>\n",
       "      <td>11.0</td>\n",
       "      <td>148.907454</td>\n",
       "      <td>138.253573</td>\n",
       "      <td>NaN</td>\n",
       "      <td>136.541</td>\n",
       "      <td>2023</td>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>1</td>\n",
       "      <td>2023-11-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>1.698554e+09</td>\n",
       "      <td>2023-10-29T00:35:06.989057</td>\n",
       "      <td>2023-10-29T04:35:06.989057+00:00</td>\n",
       "      <td>123</td>\n",
       "      <td>9.668638</td>\n",
       "      <td>12.721543</td>\n",
       "      <td>152.658516</td>\n",
       "      <td>3JN</td>\n",
       "      <td>1</td>\n",
       "      <td>34948</td>\n",
       "      <td>Demetrius has the testimony of all, and of the...</td>\n",
       "      <td>12.0</td>\n",
       "      <td>148.882945</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>135.745</td>\n",
       "      <td>2023</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2023-10-29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>1.698284e+09</td>\n",
       "      <td>2023-10-25T21:29:51.817669</td>\n",
       "      <td>2023-10-26T01:29:51.817669+00:00</td>\n",
       "      <td>56</td>\n",
       "      <td>3.477334</td>\n",
       "      <td>16.104292</td>\n",
       "      <td>193.251509</td>\n",
       "      <td>GEN</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>In the beginning, God created the heavens and ...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>148.772233</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>129.881</td>\n",
       "      <td>2023</td>\n",
       "      <td>10</td>\n",
       "      <td>21</td>\n",
       "      <td>1</td>\n",
       "      <td>2023-10-25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>1.698554e+09</td>\n",
       "      <td>2023-10-29T00:35:20.795259</td>\n",
       "      <td>2023-10-29T04:35:20.795259+00:00</td>\n",
       "      <td>87</td>\n",
       "      <td>7.268541</td>\n",
       "      <td>11.969390</td>\n",
       "      <td>143.632675</td>\n",
       "      <td>3JN</td>\n",
       "      <td>1</td>\n",
       "      <td>34949</td>\n",
       "      <td>I had many things to write to you, but I am un...</td>\n",
       "      <td>13.0</td>\n",
       "      <td>148.753421</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>135.889</td>\n",
       "      <td>2023</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2023-10-29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>378</th>\n",
       "      <td>1.699067e+09</td>\n",
       "      <td>2023-11-03T22:57:46.513912</td>\n",
       "      <td>2023-11-04T02:57:46.513912+00:00</td>\n",
       "      <td>78</td>\n",
       "      <td>7.093099</td>\n",
       "      <td>10.996604</td>\n",
       "      <td>131.959244</td>\n",
       "      <td>GEN</td>\n",
       "      <td>9</td>\n",
       "      <td>231</td>\n",
       "      <td>He said, \"Canaan is cursed. He will be a serva...</td>\n",
       "      <td>25.0</td>\n",
       "      <td>148.591808</td>\n",
       "      <td>140.343131</td>\n",
       "      <td>NaN</td>\n",
       "      <td>137.073</td>\n",
       "      <td>2023</td>\n",
       "      <td>11</td>\n",
       "      <td>22</td>\n",
       "      <td>1</td>\n",
       "      <td>2023-11-03</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Unix_Start_Time            Local_Start_Time  \\\n",
       "Test_Number                                                \n",
       "375             1.699067e+09  2023-11-03T22:57:11.140166   \n",
       "346             1.699066e+09  2023-11-03T22:50:09.696543   \n",
       "345             1.699066e+09  2023-11-03T22:49:56.583535   \n",
       "369             1.699067e+09  2023-11-03T22:56:04.797137   \n",
       "376             1.699067e+09  2023-11-03T22:57:19.430587   \n",
       "377             1.699067e+09  2023-11-03T22:57:39.277346   \n",
       "374             1.699067e+09  2023-11-03T22:57:05.278503   \n",
       "344             1.699066e+09  2023-11-03T22:49:38.177286   \n",
       "368             1.699067e+09  2023-11-03T22:55:51.536428   \n",
       "343             1.699066e+09  2023-11-03T22:49:24.201749   \n",
       "347             1.699066e+09  2023-11-03T22:50:13.961122   \n",
       "363             1.699066e+09  2023-11-03T22:54:08.596196   \n",
       "341             1.699066e+09  2023-11-03T22:48:34.354652   \n",
       "330             1.698793e+09  2023-10-31T18:51:15.987789   \n",
       "348             1.699066e+09  2023-11-03T22:50:23.820411   \n",
       "364             1.699066e+09  2023-11-03T22:54:24.455479   \n",
       "54              1.698554e+09  2023-10-29T00:35:06.989057   \n",
       "29              1.698284e+09  2023-10-25T21:29:51.817669   \n",
       "55              1.698554e+09  2023-10-29T00:35:20.795259   \n",
       "378             1.699067e+09  2023-11-03T22:57:46.513912   \n",
       "\n",
       "                               UTC_Start_Time  Characters    Seconds  \\\n",
       "Test_Number                                                            \n",
       "375          2023-11-04T02:57:11.140166+00:00          94   6.981140   \n",
       "346          2023-11-04T02:50:09.696543+00:00          26   2.098202   \n",
       "345          2023-11-04T02:49:56.583535+00:00          79   6.649562   \n",
       "369          2023-11-04T02:56:04.797137+00:00         171  13.394990   \n",
       "376          2023-11-04T02:57:19.430587+00:00         205  16.778885   \n",
       "377          2023-11-04T02:57:39.277346+00:00          73   5.463816   \n",
       "374          2023-11-04T02:57:05.278503+00:00          69   4.693784   \n",
       "344          2023-11-04T02:49:38.177286+00:00         217  15.961097   \n",
       "368          2023-11-04T02:55:51.536428+00:00         161  11.776451   \n",
       "343          2023-11-04T02:49:24.201749+00:00          95   7.094975   \n",
       "347          2023-11-04T02:50:13.961122+00:00          78   8.200206   \n",
       "363          2023-11-04T02:54:08.596196+00:00         178  13.713111   \n",
       "341          2023-11-04T02:48:34.354652+00:00          77   5.072950   \n",
       "330          2023-10-31T22:51:15.988295+00:00         233  19.420589   \n",
       "348          2023-11-04T02:50:23.820411+00:00         237  19.271681   \n",
       "364          2023-11-04T02:54:24.455479+00:00         162  15.375179   \n",
       "54           2023-10-29T04:35:06.989057+00:00         123   9.668638   \n",
       "29           2023-10-26T01:29:51.817669+00:00          56   3.477334   \n",
       "55           2023-10-29T04:35:20.795259+00:00          87   7.268541   \n",
       "378          2023-11-04T02:57:46.513912+00:00          78   7.093099   \n",
       "\n",
       "                   CPS         WPM Book  Chapter  Verse_Order  \\\n",
       "Test_Number                                                     \n",
       "375          13.464850  161.578203  GEN        9          228   \n",
       "346          12.391561  148.698727  GEN        8          199   \n",
       "345          11.880482  142.565789  GEN        8          198   \n",
       "369          12.765967  153.191607  GEN        9          222   \n",
       "376          12.217737  146.612842  GEN        9          229   \n",
       "377          13.360626  160.327516  GEN        9          230   \n",
       "374          14.700292  176.403507  GEN        9          227   \n",
       "344          13.595557  163.146679  GEN        8          197   \n",
       "368          13.671351  164.056215  GEN        9          221   \n",
       "343          13.389757  160.677088  GEN        8          196   \n",
       "347           9.511956  114.143470  GEN        8          200   \n",
       "363          12.980279  155.763346  GEN        9          216   \n",
       "341          15.178545  182.142544  GEN        8          194   \n",
       "330          11.997576  143.970917  GEN        7          183   \n",
       "348          12.297838  147.574050  GEN        8          201   \n",
       "364          10.536462  126.437550  GEN        9          217   \n",
       "54           12.721543  152.658516  3JN        1        34948   \n",
       "29           16.104292  193.251509  GEN        1            1   \n",
       "55           11.969390  143.632675  3JN        1        34949   \n",
       "378          10.996604  131.959244  GEN        9          231   \n",
       "\n",
       "                                                         Verse  Verse #  \\\n",
       "Test_Number                                                               \n",
       "375          Ham, the father of Canaan, saw the nakedness o...     22.0   \n",
       "346                                 God spoke to Noah, saying,     15.0   \n",
       "345          In the second month, on the twenty-seventh day...     14.0   \n",
       "369          The rainbow will be in the cloud. I will look ...     16.0   \n",
       "376          Shem and Japheth took a garment, and laid it o...     23.0   \n",
       "377          Noah awoke from his wine, and knew what his yo...     24.0   \n",
       "374          He drank of the wine and got drunk. He was unc...     21.0   \n",
       "344          In the six hundred first year, in the first mo...     13.0   \n",
       "368          I will remember my covenant, which is between ...     15.0   \n",
       "343          He waited yet another seven days, and sent out...     12.0   \n",
       "347          \"Go out of the ship, you, your wife, your sons...     16.0   \n",
       "363          and with every living creature that is with yo...     10.0   \n",
       "341          He waited yet another seven days; and again he...     10.0   \n",
       "330          Every living thing was destroyed that was on t...     23.0   \n",
       "348          Bring out with you every living thing that is ...     17.0   \n",
       "364          I will establish my covenant with you: All fle...     11.0   \n",
       "54           Demetrius has the testimony of all, and of the...     12.0   \n",
       "29           In the beginning, God created the heavens and ...      1.0   \n",
       "55           I had many things to write to you, but I am un...     13.0   \n",
       "378          He said, \"Canaan is cursed. He will be a serva...     25.0   \n",
       "\n",
       "             Last 10 Avg  Last 100 Avg  Last 1000 Avg  cumulative_avg  \\\n",
       "Test_Number                                                             \n",
       "375           155.189199    140.005204            NaN         136.999   \n",
       "346           154.501316    135.941614            NaN         136.214   \n",
       "345           154.171140    135.389865            NaN         136.178   \n",
       "369           154.131763    139.205292            NaN         136.805   \n",
       "376           152.531903    140.209026            NaN         137.025   \n",
       "377           151.801505    140.348312            NaN         137.087   \n",
       "374           151.231641    139.896429            NaN         136.933   \n",
       "344           151.184573    134.886354            NaN         136.159   \n",
       "368           150.438336    138.923141            NaN         136.760   \n",
       "343           149.969348    134.253127            NaN         136.080   \n",
       "347           149.466437    135.645305            NaN         136.150   \n",
       "363           149.406005    138.101412            NaN         136.569   \n",
       "341           149.265970    134.422066            NaN         136.074   \n",
       "330           149.190229    133.552750            NaN         135.780   \n",
       "348           148.932454    135.933779            NaN         136.183   \n",
       "364           148.907454    138.253573            NaN         136.541   \n",
       "54            148.882945           NaN            NaN         135.745   \n",
       "29            148.772233           NaN            NaN         129.881   \n",
       "55            148.753421           NaN            NaN         135.889   \n",
       "378           148.591808    140.343131            NaN         137.073   \n",
       "\n",
       "             Local_Year  Local_Month  Local_Hour  Count  Local_Date  \n",
       "Test_Number                                                          \n",
       "375                2023           11          22      1  2023-11-03  \n",
       "346                2023           11          22      1  2023-11-03  \n",
       "345                2023           11          22      1  2023-11-03  \n",
       "369                2023           11          22      1  2023-11-03  \n",
       "376                2023           11          22      1  2023-11-03  \n",
       "377                2023           11          22      1  2023-11-03  \n",
       "374                2023           11          22      1  2023-11-03  \n",
       "344                2023           11          22      1  2023-11-03  \n",
       "368                2023           11          22      1  2023-11-03  \n",
       "343                2023           11          22      1  2023-11-03  \n",
       "347                2023           11          22      1  2023-11-03  \n",
       "363                2023           11          22      1  2023-11-03  \n",
       "341                2023           11          22      1  2023-11-03  \n",
       "330                2023           10          18      1  2023-10-31  \n",
       "348                2023           11          22      1  2023-11-03  \n",
       "364                2023           11          22      1  2023-11-03  \n",
       "54                 2023           10           0      1  2023-10-29  \n",
       "29                 2023           10          21      1  2023-10-25  \n",
       "55                 2023           10           0      1  2023-10-29  \n",
       "378                2023           11          22      1  2023-11-03  "
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_top_20_last_10_avg_results = df_results.sort_values(\n",
    "    'Last 10 Avg', ascending = False).head(20).copy()\n",
    "df_top_20_last_10_avg_results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Showing WPM results and moving averages by test number:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
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       "data": [
        {
         "hovertemplate": "variable=WPM<br>Test_Number=%{x}<br>value=%{y}<extra></extra>",
         "legendgroup": "WPM",
         "line": {
          "color": "#636efa",
          "dash": "solid"
         },
         "marker": {
          "symbol": "circle"
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         "mode": "lines",
         "name": "WPM",
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    "fig_df_results_by_test_number = px.line(df_results, x = df_results.index, \n",
    "y = ['WPM', 'Last 10 Avg', 'Last 100 Avg', 'Last 1000 Avg', 'cumulative_avg'])\n",
    "fig_df_results_by_test_number.write_html('Analyses/results_by_test_number.html')\n",
    "fig_df_results_by_test_number.write_image('Analyses/results_by_test_number.png', \n",
    "width = 1920, height = 1080, engine = 'kaleido', scale = 2)\n",
    "fig_df_results_by_test_number"
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   "source": [
    "## Creating WPM histograms for (1) all tests and (2) the last 1000 tests:\n",
    "\n",
    "(Until you've taken more than 1,000 tests, these histograms will have the same appearance.)"
   ]
  },
  {
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    "text_auto = True)\n",
    "fig_wpm_histogram.update_layout(bargroupgap = 0.1) # Adds a bit of space\n",
    "# in between histogram bars. See https://stackoverflow.com/a/62925197/13097194\n",
    "fig_wpm_histogram.write_html('Analyses/wpm_histogram.html')\n",
    "fig_wpm_histogram.write_image('Analyses/wpm_histogram.png', \n",
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    "fig_wpm_histogram = px.histogram(x = df_results.tail(1000)['WPM'], nbins = 50, \n",
    "text_auto = True)\n",
    "fig_wpm_histogram.update_layout(bargroupgap = 0.1) # Adds a bit of space\n",
    "# in between histogram bars. See https://stackoverflow.com/a/62925197/13097194\n",
    "fig_wpm_histogram.write_html('Analyses/wpm_histogram_last_1000.html')\n",
    "fig_wpm_histogram.write_image('Analyses/wpm_histogram_last_1000.png', \n",
    "width = 1920, height = 1080, engine = 'kaleido', scale = 2)\n",
    "fig_wpm_histogram\n"
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Evaluating average results by month:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Local_Year</th>\n",
       "      <th>Local_Month</th>\n",
       "      <th>Count</th>\n",
       "      <th>WPM</th>\n",
       "      <th>Year/Month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2023</td>\n",
       "      <td>10</td>\n",
       "      <td>332</td>\n",
       "      <td>135.657830</td>\n",
       "      <td>2023-10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2023</td>\n",
       "      <td>11</td>\n",
       "      <td>385</td>\n",
       "      <td>130.023112</td>\n",
       "      <td>2023-11</td>\n",
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       "  </tbody>\n",
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       "   Local_Year  Local_Month  Count         WPM Year/Month\n",
       "0        2023           10    332  135.657830    2023-10\n",
       "1        2023           11    385  130.023112    2023-11"
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     "execution_count": 52,
     "metadata": {},
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    "df_results_by_month = df_results.pivot_table(\n",
    "    index = ['Local_Year', 'Local_Month'], values = ['Count', 'WPM'], \n",
    "    aggfunc = {'Count':'sum', 'WPM':'mean'}).reset_index()\n",
    "# Enclosing the year/month in parentheses so that they won't be converted\n",
    "df_results_by_month['Year/Month'] = df_results_by_month[\n",
    "    'Local_Year'].astype('str') + '-' + df_results_by_month[\n",
    "    'Local_Month'].astype('str')\n",
    "df_results_by_month.to_csv('Analyses/results_by_month.csv')\n",
    "df_results_by_month"
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    "fig_results_by_month = px.bar(df_results_by_month, x = 'Year/Month', \n",
    "y = 'WPM', color = 'Count')\n",
    "fig_results_by_month.update_xaxes(type = 'category') # This line, based on\n",
    "# Pracheta's response at https://stackoverflow.com/a/64424308/13097194,\n",
    "# updates the axes to show the date-month pairs as strings rather than \n",
    "# as Plotly-formatted date values. This will also prevent missing\n",
    "# months from appearing in the graph.\n",
    "fig_results_by_month.write_html('Analyses/results_by_month.html')\n",
    "fig_results_by_month.write_image('Analyses/results_by_month.png', \n",
    "width = 1920, height = 1080, engine = 'kaleido', scale = 2)\n",
    "fig_results_by_month"
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  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Evaluating average results by hour of day:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
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       "      <th>Local_Hour</th>\n",
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       "      <th>WPM</th>\n",
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       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>79</td>\n",
       "      <td>138.946476</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>21</td>\n",
       "      <td>131.718257</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>17</td>\n",
       "      <td>15</td>\n",
       "      <td>127.507580</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>18</td>\n",
       "      <td>226</td>\n",
       "      <td>129.486358</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>19</td>\n",
       "      <td>242</td>\n",
       "      <td>133.303571</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>20</td>\n",
       "      <td>6</td>\n",
       "      <td>116.627468</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>21</td>\n",
       "      <td>16</td>\n",
       "      <td>135.802421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>22</td>\n",
       "      <td>46</td>\n",
       "      <td>145.962938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>23</td>\n",
       "      <td>66</td>\n",
       "      <td>126.235594</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
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       "   Local_Hour  Count         WPM\n",
       "0           0     79  138.946476\n",
       "1           1     21  131.718257\n",
       "2          17     15  127.507580\n",
       "3          18    226  129.486358\n",
       "4          19    242  133.303571\n",
       "5          20      6  116.627468\n",
       "6          21     16  135.802421\n",
       "7          22     46  145.962938\n",
       "8          23     66  126.235594"
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     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
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    "df_results_by_hour = df_results.pivot_table(index = ['Local_Hour'], \n",
    "values = ['Count', 'WPM'], aggfunc = {'Count':'sum', 'WPM':'mean'}).reset_index()\n",
    "df_results_by_hour"
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    "fig_results_by_hour = px.bar(df_results_by_hour, x = 'Local_Hour', \n",
    "y = 'WPM', color = 'Count')\n",
    "fig_results_by_hour.write_html('Analyses/results_by_hour.html')\n",
    "fig_results_by_hour.write_image('Analyses/results_by_hour.png', \n",
    "width = 1920, height = 1080, engine = 'kaleido', scale = 2)\n",
    "fig_results_by_hour"
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  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Comparing mean WPMs by Bible books:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Book</th>\n",
       "      <th>Tests</th>\n",
       "      <th>Mean WPM</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>REV</td>\n",
       "      <td>1</td>\n",
       "      <td>161.093106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2JN</td>\n",
       "      <td>4</td>\n",
       "      <td>151.783862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>JUD</td>\n",
       "      <td>1</td>\n",
       "      <td>148.672335</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3JN</td>\n",
       "      <td>15</td>\n",
       "      <td>147.630110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>SNG</td>\n",
       "      <td>3</td>\n",
       "      <td>144.084300</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2KI</td>\n",
       "      <td>1</td>\n",
       "      <td>143.531468</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1JN</td>\n",
       "      <td>105</td>\n",
       "      <td>138.061187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Total</td>\n",
       "      <td>717</td>\n",
       "      <td>132.632214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>GEN</td>\n",
       "      <td>581</td>\n",
       "      <td>131.232711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>NUM</td>\n",
       "      <td>2</td>\n",
       "      <td>123.507441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>JDG</td>\n",
       "      <td>1</td>\n",
       "      <td>121.574918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>EXO</td>\n",
       "      <td>3</td>\n",
       "      <td>92.980366</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
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       "     Book  Tests    Mean WPM\n",
       "0     REV      1  161.093106\n",
       "1     2JN      4  151.783862\n",
       "2     JUD      1  148.672335\n",
       "3     3JN     15  147.630110\n",
       "4     SNG      3  144.084300\n",
       "5     2KI      1  143.531468\n",
       "6     1JN    105  138.061187\n",
       "7   Total    717  132.632214\n",
       "8     GEN    581  131.232711\n",
       "9     NUM      2  123.507441\n",
       "10    JDG      1  121.574918\n",
       "11    EXO      3   92.980366"
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     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "df_wpm_by_book = df_results.pivot_table(index = 'Book', values = 'WPM', \n",
    "aggfunc = ['count', 'mean'], margins = True, \n",
    "margins_name = 'Total').reset_index()\n",
    "df_wpm_by_book.columns = 'Book', 'Tests', 'Mean WPM'\n",
    "df_wpm_by_book.sort_values('Mean WPM', ascending = False, inplace = True)\n",
    "df_wpm_by_book.reset_index(drop=True,inplace=True)\n",
    "df_wpm_by_book.to_csv('Analyses/mean_wpm_by_book.csv')\n",
    "\n",
    "df_wpm_by_book\n"
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   "source": [
    "# The following chart will display a bar for each book for which at least one \n",
    "# test has been taken. It will also show a line that corresponds to the player's\n",
    "# overall WPM across all books. The bars are colored by test count, making\n",
    "# it easier to identify which bars might be skewed by a low number of results.\n",
    "# The 'Total' value in df_wpm_by_book is displayed as a line instead of as\n",
    "# a color so as not to interfere with the color gradient.\n",
    "\n",
    "# Retrieving the total mean WPM value in df_wpm_by_book:\n",
    "total_mean_wpm = df_wpm_by_book.query(\"Book == 'Total'\").iloc[0]['Mean WPM']\n",
    "total_mean_wpm\n",
    "\n",
    "fig_mean_wpm_by_book = px.bar(df_wpm_by_book.query(\"Book != 'Total'\"), \n",
    "x = 'Book', y = 'Mean WPM', color = 'Tests')\n",
    "fig_mean_wpm_by_book.add_shape(type = 'line', x0 = -0.5, \n",
    "x1 = len(df_wpm_by_book) -1.5, y0 = total_mean_wpm, y1 = total_mean_wpm)\n",
    "# See https://plotly.com/python/shapes/ for the add_shape() code.\n",
    "# The use of -0.5 and len() - 1.5 is based on gleasocd's answer at \n",
    "# https://stackoverflow.com/a/40408960/13097194 . len(df) - 0.5 would normally\n",
    "# work, except that I reduced the size of the DataFrame by 1 when excluding\n",
    "# the 'Total' book.\n",
    "fig_mean_wpm_by_book.write_html('Analyses/mean_wpm_by_book.html')\n",
    "fig_mean_wpm_by_book.write_image('Analyses/mean_wpm_by_book.png', width = 1920, \n",
    "height = 1080, engine = 'kaleido', scale = 2)\n",
    "fig_mean_wpm_by_book\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Finished updating analyses in 24.481 seconds. Enter any key to exit.\n"
     ]
    },
    {
     "data": {
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       "''"
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     },
     "execution_count": 58,
     "metadata": {},
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   ],
   "source": [
    "analysis_end_time = time.time()\n",
    "analysis_time = analysis_end_time - analysis_start_time\n",
    "print(f\"Finished updating analyses in {round(analysis_time, 3)} seconds. \\\n",
    "Enter any key to exit.\") # Allows the console to stay open when the\n",
    "# .py version of the program is run\n",
    "\n",
    "input()"
   ]
  }
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