samples_2016.ipynb

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   "metadata": {
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    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "source": [
    "# 2016"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "409b94d2-d17a-4d7b-979f-c0dd3cdc2ae8",
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     "remove-input"
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   "outputs": [],
   "source": [
    "%load_ext watermark\n",
    "import pandas as pd\n",
    "import datetime as dt\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.dates as mdates\n",
    "from matplotlib.dates import MO, WeekdayLocator\n",
    "from IPython.display import Markdown as md\n",
    "import datetime as dt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "a5d690b6-cf45-49d9-9457-a494f25ba73d",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": [
     "remove-input"
    ]
   },
   "outputs": [],
   "source": [
    "# filter variables\n",
    "year = [\"2016\"]\n",
    "categories = [\"Bioindicator\", \"Coliform\", \"Other\"]\n",
    "label_colors = {\"Bioindicator\":\"dodgerblue\", \"Coliform\":\"magenta\"}\n",
    "locations = [\"SVT\", \"VNX\", \"MRD\"]\n",
    "date_range = [\"2016-07-01\", \"2016-07-16\"]\n",
    "date_range_dt = (dt.date(2016, 7, 1), dt.date(2016, 7, 16))\n",
    "\n",
    "\n",
    "y = \"per/100ml\"\n",
    "\n",
    "new_sd = pd.read_csv(\"data/sampledata/sample_results.csv\")\n",
    "new_rd = pd.read_csv(\"data/end/rain_data_2016.csv\")\n",
    "\n",
    "date_format = mdates.DateFormatter('%m-%d')\n",
    "\n",
    "# data formatting\n",
    "from yearly_summaries import report_data, rain_data_format, location_summary, format_df_for_display_mean_std\n",
    "\n",
    "# charts\n",
    "from yearly_summaries import scatter_plot_with_std, scatterplot_date_label, scatterplot_date_label_rain, location_summary_charts\n",
    "from yearly_summaries import major_and_minor_ticks, boxplots_before_during_after\n",
    "\n",
    "rep_data = report_data(new_sd, y=y, locations=locations, categories=categories, years=year)\n",
    "rain_data = rain_data_format(new_rd, rep_data[\"date\"].min(), rep_data[\"date\"].max())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "8690f066-10ac-470e-ab4e-1d8981fc4546",
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   "outputs": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>location</th>\n",
       "      <th>replican</th>\n",
       "      <th>event</th>\n",
       "      <th>before event</th>\n",
       "      <th>after event</th>\n",
       "      <th>count</th>\n",
       "      <th>coef</th>\n",
       "      <th>per 100</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016-07-05</td>\n",
       "      <td>MRD</td>\n",
       "      <td>('2016-07-05', 'MRD1')</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>250</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Bioindicator</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016-07-12</td>\n",
       "      <td>MRD</td>\n",
       "      <td>('2016-07-12', 'MRD1')</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>22.0</td>\n",
       "      <td>25</td>\n",
       "      <td>550.0</td>\n",
       "      <td>Bioindicator</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016-07-19</td>\n",
       "      <td>MRD</td>\n",
       "      <td>('2016-07-19', 'MRD1')</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>8.0</td>\n",
       "      <td>25</td>\n",
       "      <td>200.0</td>\n",
       "      <td>Bioindicator</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2016-06-21</td>\n",
       "      <td>MRD</td>\n",
       "      <td>('2016-06-21', 'MRD1')</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>2.0</td>\n",
       "      <td>100</td>\n",
       "      <td>200.0</td>\n",
       "      <td>Bioindicator</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2016-06-28</td>\n",
       "      <td>MRD</td>\n",
       "      <td>('2016-06-28', 'MRD1')</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Bioindicator</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         date location                replican  event  before event  \\\n",
       "0  2016-07-05      MRD  ('2016-07-05', 'MRD1')   True         False   \n",
       "1  2016-07-12      MRD  ('2016-07-12', 'MRD1')   True         False   \n",
       "2  2016-07-19      MRD  ('2016-07-19', 'MRD1')  False         False   \n",
       "3  2016-06-21      MRD  ('2016-06-21', 'MRD1')  False          True   \n",
       "4  2016-06-28      MRD  ('2016-06-28', 'MRD1')  False          True   \n",
       "\n",
       "   after event  count  coef  per 100         label  \n",
       "0        False    0.0   250      0.0  Bioindicator  \n",
       "1        False   22.0    25    550.0  Bioindicator  \n",
       "2         True    8.0    25    200.0  Bioindicator  \n",
       "3        False    2.0   100    200.0  Bioindicator  \n",
       "4        False    0.0    25      0.0  Bioindicator  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "i = pd.read_csv(\"data/sampledata/with_normalized_count.csv\")\n",
    "i.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "ce4070b0-8ae0-42e6-84de-2e79d5324838",
   "metadata": {},
   "outputs": [],
   "source": [
    "i = pd.read_csv(\"data/sampledata/sample_results.csv\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "262c191b-a5fb-40d7-9fd4-a87cc0b79c39",
   "metadata": {},
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>location</th>\n",
       "      <th>sample</th>\n",
       "      <th>date_sample</th>\n",
       "      <th>event</th>\n",
       "      <th>before event</th>\n",
       "      <th>after event</th>\n",
       "      <th>medium</th>\n",
       "      <th>label</th>\n",
       "      <th>count</th>\n",
       "      <th>coef</th>\n",
       "      <th>week</th>\n",
       "      <th>doy</th>\n",
       "      <th>year</th>\n",
       "      <th>color</th>\n",
       "      <th>image</th>\n",
       "      <th>string_date</th>\n",
       "      <th>per/100ml</th>\n",
       "      <th>fail</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2016-07-05</td>\n",
       "      <td>MRD</td>\n",
       "      <td>MRD1</td>\n",
       "      <td>('2016-07-05', 'MRD1')</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>EasyGel</td>\n",
       "      <td>Bioindicator</td>\n",
       "      <td>0.0</td>\n",
       "      <td>250</td>\n",
       "      <td>27</td>\n",
       "      <td>187</td>\n",
       "      <td>2016</td>\n",
       "      <td>big_blue</td>\n",
       "      <td>none</td>\n",
       "      <td>2016-07-05</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2016-07-12</td>\n",
       "      <td>MRD</td>\n",
       "      <td>MRD1</td>\n",
       "      <td>('2016-07-12', 'MRD1')</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>EasyGel</td>\n",
       "      <td>Bioindicator</td>\n",
       "      <td>22.0</td>\n",
       "      <td>25</td>\n",
       "      <td>28</td>\n",
       "      <td>194</td>\n",
       "      <td>2016</td>\n",
       "      <td>big_blue</td>\n",
       "      <td>none</td>\n",
       "      <td>2016-07-12</td>\n",
       "      <td>550.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2016-07-19</td>\n",
       "      <td>MRD</td>\n",
       "      <td>MRD1</td>\n",
       "      <td>('2016-07-19', 'MRD1')</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>EasyGel</td>\n",
       "      <td>Bioindicator</td>\n",
       "      <td>8.0</td>\n",
       "      <td>25</td>\n",
       "      <td>29</td>\n",
       "      <td>201</td>\n",
       "      <td>2016</td>\n",
       "      <td>big_blue</td>\n",
       "      <td>none</td>\n",
       "      <td>2016-07-19</td>\n",
       "      <td>200.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2016-06-21</td>\n",
       "      <td>MRD</td>\n",
       "      <td>MRD1</td>\n",
       "      <td>('2016-06-21', 'MRD1')</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>EasyGel</td>\n",
       "      <td>Bioindicator</td>\n",
       "      <td>2.0</td>\n",
       "      <td>100</td>\n",
       "      <td>25</td>\n",
       "      <td>173</td>\n",
       "      <td>2016</td>\n",
       "      <td>big_blue</td>\n",
       "      <td>none</td>\n",
       "      <td>2016-06-21</td>\n",
       "      <td>200.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2016-06-28</td>\n",
       "      <td>MRD</td>\n",
       "      <td>MRD1</td>\n",
       "      <td>('2016-06-28', 'MRD1')</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>EasyGel</td>\n",
       "      <td>Bioindicator</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25</td>\n",
       "      <td>26</td>\n",
       "      <td>180</td>\n",
       "      <td>2016</td>\n",
       "      <td>big_blue</td>\n",
       "      <td>none</td>\n",
       "      <td>2016-06-28</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>379</th>\n",
       "      <td>2016-06-21</td>\n",
       "      <td>VNX</td>\n",
       "      <td>VNX3</td>\n",
       "      <td>('2016-06-21', 'VNX3')</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>EasyGel</td>\n",
       "      <td>Other</td>\n",
       "      <td>0.0</td>\n",
       "      <td>100</td>\n",
       "      <td>25</td>\n",
       "      <td>173</td>\n",
       "      <td>2016</td>\n",
       "      <td>turq</td>\n",
       "      <td>none</td>\n",
       "      <td>2016-06-21</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>380</th>\n",
       "      <td>2016-06-28</td>\n",
       "      <td>VNX</td>\n",
       "      <td>VNX3</td>\n",
       "      <td>('2016-06-28', 'VNX3')</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>EasyGel</td>\n",
       "      <td>Other</td>\n",
       "      <td>4.0</td>\n",
       "      <td>25</td>\n",
       "      <td>26</td>\n",
       "      <td>180</td>\n",
       "      <td>2016</td>\n",
       "      <td>turq</td>\n",
       "      <td>none</td>\n",
       "      <td>2016-06-28</td>\n",
       "      <td>100.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>381</th>\n",
       "      <td>2016-07-26</td>\n",
       "      <td>VNX</td>\n",
       "      <td>VNX3</td>\n",
       "      <td>('2016-07-26', 'VNX3')</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>EasyGel</td>\n",
       "      <td>Other</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25</td>\n",
       "      <td>30</td>\n",
       "      <td>208</td>\n",
       "      <td>2016</td>\n",
       "      <td>turq</td>\n",
       "      <td>none</td>\n",
       "      <td>2016-07-26</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>382</th>\n",
       "      <td>2016-08-09</td>\n",
       "      <td>VNX</td>\n",
       "      <td>VNX3</td>\n",
       "      <td>('2016-08-09', 'VNX3')</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>EasyGel</td>\n",
       "      <td>Other</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25</td>\n",
       "      <td>32</td>\n",
       "      <td>222</td>\n",
       "      <td>2016</td>\n",
       "      <td>turq</td>\n",
       "      <td>none</td>\n",
       "      <td>2016-08-09</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>383</th>\n",
       "      <td>2016-08-02</td>\n",
       "      <td>VNX</td>\n",
       "      <td>VNX3</td>\n",
       "      <td>('2016-08-02', 'VNX3')</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>EasyGel</td>\n",
       "      <td>Other</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25</td>\n",
       "      <td>31</td>\n",
       "      <td>215</td>\n",
       "      <td>2016</td>\n",
       "      <td>turq</td>\n",
       "      <td>none</td>\n",
       "      <td>2016-08-02</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>384 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          date location sample             date_sample  event  before event  \\\n",
       "0   2016-07-05      MRD   MRD1  ('2016-07-05', 'MRD1')   True         False   \n",
       "1   2016-07-12      MRD   MRD1  ('2016-07-12', 'MRD1')   True         False   \n",
       "2   2016-07-19      MRD   MRD1  ('2016-07-19', 'MRD1')  False         False   \n",
       "3   2016-06-21      MRD   MRD1  ('2016-06-21', 'MRD1')  False          True   \n",
       "4   2016-06-28      MRD   MRD1  ('2016-06-28', 'MRD1')  False          True   \n",
       "..         ...      ...    ...                     ...    ...           ...   \n",
       "379 2016-06-21      VNX   VNX3  ('2016-06-21', 'VNX3')  False          True   \n",
       "380 2016-06-28      VNX   VNX3  ('2016-06-28', 'VNX3')  False          True   \n",
       "381 2016-07-26      VNX   VNX3  ('2016-07-26', 'VNX3')  False         False   \n",
       "382 2016-08-09      VNX   VNX3  ('2016-08-09', 'VNX3')  False         False   \n",
       "383 2016-08-02      VNX   VNX3  ('2016-08-02', 'VNX3')  False         False   \n",
       "\n",
       "     after event   medium         label  count  coef  week  doy  year  \\\n",
       "0          False  EasyGel  Bioindicator    0.0   250    27  187  2016   \n",
       "1          False  EasyGel  Bioindicator   22.0    25    28  194  2016   \n",
       "2           True  EasyGel  Bioindicator    8.0    25    29  201  2016   \n",
       "3          False  EasyGel  Bioindicator    2.0   100    25  173  2016   \n",
       "4          False  EasyGel  Bioindicator    0.0    25    26  180  2016   \n",
       "..           ...      ...           ...    ...   ...   ...  ...   ...   \n",
       "379        False  EasyGel         Other    0.0   100    25  173  2016   \n",
       "380        False  EasyGel         Other    4.0    25    26  180  2016   \n",
       "381         True  EasyGel         Other    0.0    25    30  208  2016   \n",
       "382         True  EasyGel         Other    0.0    25    32  222  2016   \n",
       "383         True  EasyGel         Other    0.0    25    31  215  2016   \n",
       "\n",
       "        color image string_date  per/100ml   fail  \n",
       "0    big_blue  none  2016-07-05        0.0  False  \n",
       "1    big_blue  none  2016-07-12      550.0   True  \n",
       "2    big_blue  none  2016-07-19      200.0   True  \n",
       "3    big_blue  none  2016-06-21      200.0   True  \n",
       "4    big_blue  none  2016-06-28        0.0  False  \n",
       "..        ...   ...         ...        ...    ...  \n",
       "379      turq  none  2016-06-21        0.0  False  \n",
       "380      turq  none  2016-06-28      100.0  False  \n",
       "381      turq  none  2016-07-26        0.0  False  \n",
       "382      turq  none  2016-08-09        0.0  False  \n",
       "383      turq  none  2016-08-02        0.0  False  \n",
       "\n",
       "[384 rows x 19 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rep_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "b2f51556-c7fd-4e94-b7e8-bdedf3c7b8df",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": [
     "remove-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# mean per sample day and location\n",
    "# set the index groups\n",
    "groups = [\"date\", \"label\"]\n",
    "figure_name = \"mean_plate_count_no_rain\"\n",
    "title = \"Weekly average abundance\"\n",
    "project = f\"Microbial Lake Water Quality {year[0]}\"\n",
    "\n",
    "scatterplot_date_label(rep_data, y,  groups, title, project, date_range_dt, date_format, label_colors, year, figure_name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "e5691585-0397-4af8-b731-bc501a8817d1",
   "metadata": {
    "editable": true,
    "jupyter": {
     "source_hidden": true
    },
    "slideshow": {
     "slide_type": ""
    },
    "tags": [
     "remove-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mean_sample_day_location_category = rep_data[rep_data.label == \"Bioindicator\"].groupby(groups, as_index=False)[y].mean()\n",
    "figure_name = \"mean_plate_count_bioindicator_rain\"\n",
    "\n",
    "title = \"Weekly bioindicator averages and mm of rain per day\"\n",
    "\n",
    "scatterplot_date_label_rain(rep_data, rain_data, y, date_range_dt, date_format,  groups, \"Bioindicator\", title, project, label_colors, year, figure_name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a26b9bbf-3ea7-4c52-84ea-4b42a06d1c59",
   "metadata": {
    "editable": true,
    "jupyter": {
     "source_hidden": true
    },
    "slideshow": {
     "slide_type": ""
    },
    "tags": [
     "remove-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# bioindicator results\n",
    "title = \"Weekly bioindicator averages by site +/- standard deviations\"\n",
    "figure_name3 = f\"location_summary_bio_indicators_{year[0]}\"\n",
    "file_name = f\"resources/charts/figure_three_{year[0]}.jpg\"\n",
    "\n",
    "by_location = location_summary(rep_data, y)\n",
    "\n",
    "location_summary_charts(by_location, date_range_dt, date_format, locations, project, title, figure_name3, file_name)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0017f624-e198-44c8-b23f-9451f910f29a",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "source": [
    "## Are the weekly bioindicator averages during the event greater than before or after the event?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "e23d7a0f-84da-4488-bf16-8ab976bcda22",
   "metadata": {
    "editable": true,
    "jupyter": {
     "source_hidden": true
    },
    "slideshow": {
     "slide_type": ""
    },
    "tags": [
     "remove-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = rep_data[rep_data.label == \"Bioindicator\"]\n",
    "\n",
    "before = data[data[\"before event\"] == True][y].values\n",
    "during = data[data[\"event\"] == True][y].values\n",
    "after = data[data[\"after event\"] == True ][y].values\n",
    "\n",
    "d = [before, during, after]\n",
    "\n",
    "title = \"Bioindicator averages before, during and after the event\"\n",
    "figure_name4 = f\"before_during_after_{year[0]}\"\n",
    "file_name = f\"resources/charts/figure_four_{year[0]}.jpg\"\n",
    "\n",
    "\n",
    "boxplots_before_during_after(d, project, title, figure_name4, file_name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "41fc40e6-e959-4c71-8cba-c6df2ea5fd73",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": [
     "remove-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "\n",
       "\n",
       "This script updated 22/03/2024 in Ecublens, CH\n",
       "\n",
       "❤️ __what you do everyday:__ *biolab at hackuarium*\n"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "today = dt.datetime.now().date().strftime(\"%d/%m/%Y\")\n",
    "where = \"Ecublens, CH\"\n",
    "\n",
    "my_block = f\"\"\"\n",
    "\n",
    "This script updated {today} in {where}\n",
    "\n",
    "\\u2764\\ufe0f __what you do everyday:__ *biolab at hackuarium*\n",
    "\"\"\"\n",
    "\n",
    "md(my_block)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "07616ce4-1e0f-4883-a0dc-f316eaafa0eb",
   "metadata": {
    "editable": true,
    "jupyter": {
     "source_hidden": true
    },
    "slideshow": {
     "slide_type": ""
    },
    "tags": [
     "remove-input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Git repo: https://github.com/hammerdirt/qualite-deau.git\n",
      "\n",
      "Git branch: main\n",
      "\n",
      "pandas    : 2.0.3\n",
      "numpy     : 1.25.2\n",
      "matplotlib: 3.7.1\n",
      "seaborn   : 0.12.2\n",
      "\n"
     ]
    }
   ],
   "source": [
    "%watermark --iversions -b -r"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.17"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}