{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Pesticide: Summary of the data\n",
    "\n",
    "> Summary plots and tables \n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Imports\n",
    "\n",
    "This bit imports any libraries included in the following including those from `Pesticide` to handle the data.\n",
    "\n",
    "The first cell import general libraries and sets the folder to allow importing Pesticide which is done in the second cell"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "tags": [
     "hide-cell"
    ]
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from pandasql import sqldf\n",
    "import numpy as np\n",
    "\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import os\n",
    "from pathlib import Path\n",
    "import sys\n",
    "\n",
    "# this sets the path for Pesticide so we can import the functions\n",
    "# N.B. PesticideDocs and Pesticide need to be in same folder\n",
    "# tried to load from github using https://pypi.org/project/httpimport/ but \n",
    "# couldn't get to work due to modular structure i.e. how to access src/plotfuncts/plot1.py greatplot\n",
    "\n",
    "module_path = Path( os.getcwd() )\n",
    "module_path = module_path.parent.__str__() + '\\\\Pesticide'\n",
    "\n",
    "sys.path.insert(0, module_path)\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "tags": [
     "hide-cell"
    ]
   },
   "outputs": [],
   "source": [
    "from src.data_loading.loads_from_url import *\n",
    "from src.data_cleaning.modify_dfs import *\n",
    "from src.data_visualisation.plot_funcs import *\n",
    "from src.utils.utils import *\n",
    "\n",
    "cwd = module_path\n",
    "\n",
    "folder_path = os.path.join(cwd,'data')\n",
    "\n",
    "create_csvs=False\n",
    "if create_csvs:\n",
    "    getAllFilesThenSave(folder_path)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Summaries of the data\n",
    "\n",
    "The data is loaded then rows near the beginning and end are shown below\n",
    "\n",
    "After this `df.describe()` and `df.info()` are used to get more info on the dataframe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sample_id</th>\n",
       "      <th>date_of_sampling</th>\n",
       "      <th>description</th>\n",
       "      <th>country_of_origin</th>\n",
       "      <th>retail_outlet</th>\n",
       "      <th>address</th>\n",
       "      <th>brand_name</th>\n",
       "      <th>packer_/_manufacturer_/_importer</th>\n",
       "      <th>pesticide_residues_found_in_mg/kg_(mrl)</th>\n",
       "      <th>product</th>\n",
       "      <th>address_postcode</th>\n",
       "      <th>packer__postcode</th>\n",
       "      <th>chem_name</th>\n",
       "      <th>amount_detected</th>\n",
       "      <th>mrl</th>\n",
       "      <th>amount_pc</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1958/2016</td>\n",
       "      <td>2016-08-08</td>\n",
       "      <td>Bramley Apples</td>\n",
       "      <td>UK</td>\n",
       "      <td>Asda</td>\n",
       "      <td>Creechbarrow Road, Taunton TA1 2AN</td>\n",
       "      <td>Asda</td>\n",
       "      <td>Asda Stores Ltd Leeds, UK LS11 5AD</td>\n",
       "      <td>boscalid 0.03 (MRL = 2)</td>\n",
       "      <td>Apple</td>\n",
       "      <td>TA1 2AN</td>\n",
       "      <td>LS11 5AD</td>\n",
       "      <td>boscalid</td>\n",
       "      <td>0.03</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.015000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1958/2016</td>\n",
       "      <td>2016-08-08</td>\n",
       "      <td>Bramley Apples</td>\n",
       "      <td>UK</td>\n",
       "      <td>Asda</td>\n",
       "      <td>Creechbarrow Road, Taunton TA1 2AN</td>\n",
       "      <td>Asda</td>\n",
       "      <td>Asda Stores Ltd Leeds, UK LS11 5AD</td>\n",
       "      <td>pyraclostrobin 0.01 (MRL = 0.5)</td>\n",
       "      <td>Apple</td>\n",
       "      <td>TA1 2AN</td>\n",
       "      <td>LS11 5AD</td>\n",
       "      <td>pyraclostrobin</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.020000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0230/2016</td>\n",
       "      <td>2016-08-08</td>\n",
       "      <td>Bramley Apples</td>\n",
       "      <td>UK</td>\n",
       "      <td>Co-op</td>\n",
       "      <td>Northgate, Louth LN11 0LT</td>\n",
       "      <td>Co-op</td>\n",
       "      <td>Co-operative Group Ltd Manchester M60 0AG</td>\n",
       "      <td>boscalid 0.05 (MRL = 2)</td>\n",
       "      <td>Apple</td>\n",
       "      <td>LN11 0LT</td>\n",
       "      <td>M60 0AG</td>\n",
       "      <td>boscalid</td>\n",
       "      <td>0.05</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.025000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0230/2016</td>\n",
       "      <td>2016-08-08</td>\n",
       "      <td>Bramley Apples</td>\n",
       "      <td>UK</td>\n",
       "      <td>Co-op</td>\n",
       "      <td>Northgate, Louth LN11 0LT</td>\n",
       "      <td>Co-op</td>\n",
       "      <td>Co-operative Group Ltd Manchester M60 0AG</td>\n",
       "      <td>flonicamid (sum) 0.02 (MRL = 0.2)</td>\n",
       "      <td>Apple</td>\n",
       "      <td>LN11 0LT</td>\n",
       "      <td>M60 0AG</td>\n",
       "      <td>flonicamid (sum)</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.100000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0230/2016</td>\n",
       "      <td>2016-08-08</td>\n",
       "      <td>Bramley Apples</td>\n",
       "      <td>UK</td>\n",
       "      <td>Co-op</td>\n",
       "      <td>Northgate, Louth LN11 0LT</td>\n",
       "      <td>Co-op</td>\n",
       "      <td>Co-operative Group Ltd Manchester M60 0AG</td>\n",
       "      <td>pyraclostrobin 0.03 (MRL = 0.5)</td>\n",
       "      <td>Apple</td>\n",
       "      <td>LN11 0LT</td>\n",
       "      <td>M60 0AG</td>\n",
       "      <td>pyraclostrobin</td>\n",
       "      <td>0.03</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.060000</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23947</th>\n",
       "      <td>0792/2022</td>\n",
       "      <td>2022-09-08</td>\n",
       "      <td>Marfona Unwashed Potatoes</td>\n",
       "      <td>UK</td>\n",
       "      <td>Stoke Fruit Farm</td>\n",
       "      <td>77 Havant Road, Hayling Island, Hampshire PO11...</td>\n",
       "      <td>None stated</td>\n",
       "      <td>Stoke Fruit Farm 77 Havant Road, Hayling Islan...</td>\n",
       "      <td>maleic hydrazide 7.7 (MRL = 60)</td>\n",
       "      <td>Potatoes_(GB)</td>\n",
       "      <td>PO11 0PT</td>\n",
       "      <td>PO11 0PT</td>\n",
       "      <td>maleic hydrazide</td>\n",
       "      <td>7.70</td>\n",
       "      <td>60.0</td>\n",
       "      <td>0.128333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23948</th>\n",
       "      <td>0765/2022</td>\n",
       "      <td>2022-09-14</td>\n",
       "      <td>Sagitta Potatoes</td>\n",
       "      <td>UK</td>\n",
       "      <td>Total Produce Ltd.</td>\n",
       "      <td>Callywith Gate Industrial Estate, Launceston R...</td>\n",
       "      <td>None stated</td>\n",
       "      <td>CS Duston &amp; Son Colwith Farm, Par, Cornwall</td>\n",
       "      <td>maleic hydrazide 17 (MRL = 60)</td>\n",
       "      <td>Potatoes_(GB)</td>\n",
       "      <td>PL31 2RQ</td>\n",
       "      <td>0</td>\n",
       "      <td>maleic hydrazide</td>\n",
       "      <td>17.00</td>\n",
       "      <td>60.0</td>\n",
       "      <td>0.283333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23949</th>\n",
       "      <td>0938/2022</td>\n",
       "      <td>2022-09-01</td>\n",
       "      <td>Marfona Ware Potatoes</td>\n",
       "      <td>UK</td>\n",
       "      <td>Tulipland Potatoes Ltd</td>\n",
       "      <td>Fengate, Moulton Chapel PE12 0XL</td>\n",
       "      <td>None stated</td>\n",
       "      <td>Garden of Elveden</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Potatoes_(GB)</td>\n",
       "      <td>PE12 0XL</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23950</th>\n",
       "      <td>0833/2022</td>\n",
       "      <td>2022-08-31</td>\n",
       "      <td>Lady Rosetta</td>\n",
       "      <td>England (UK)</td>\n",
       "      <td>Tyrrells Crisps</td>\n",
       "      <td>Tyrrells Court, Stretford Bridge, Leominster H...</td>\n",
       "      <td>None stated</td>\n",
       "      <td>KP Crisps</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Potatoes_(GB)</td>\n",
       "      <td>HR6 9DQ</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <th>23951</th>\n",
       "      <td>0833/2022</td>\n",
       "      <td>2022-08-31</td>\n",
       "      <td>Lady Rosetta</td>\n",
       "      <td>England (UK)</td>\n",
       "      <td>Tyrrells Crisps</td>\n",
       "      <td>Tyrrells Court, Stretford Bridge, Leominster H...</td>\n",
       "      <td>None stated</td>\n",
       "      <td>KP Crisps</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Potatoes_(GB)</td>\n",
       "      <td>HR6 9DQ</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>23952 rows × 16 columns</p>\n",
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      ],
      "text/plain": [
       "       sample_id date_of_sampling                description  \\\n",
       "0      1958/2016       2016-08-08             Bramley Apples   \n",
       "1      1958/2016       2016-08-08             Bramley Apples   \n",
       "2      0230/2016       2016-08-08             Bramley Apples   \n",
       "3      0230/2016       2016-08-08             Bramley Apples   \n",
       "4      0230/2016       2016-08-08             Bramley Apples   \n",
       "...          ...              ...                        ...   \n",
       "23947  0792/2022       2022-09-08  Marfona Unwashed Potatoes   \n",
       "23948  0765/2022       2022-09-14           Sagitta Potatoes   \n",
       "23949  0938/2022       2022-09-01      Marfona Ware Potatoes   \n",
       "23950  0833/2022       2022-08-31               Lady Rosetta   \n",
       "23951  0833/2022       2022-08-31               Lady Rosetta   \n",
       "\n",
       "      country_of_origin           retail_outlet  \\\n",
       "0                    UK                    Asda   \n",
       "1                    UK                    Asda   \n",
       "2                    UK                   Co-op   \n",
       "3                    UK                   Co-op   \n",
       "4                    UK                   Co-op   \n",
       "...                 ...                     ...   \n",
       "23947                UK        Stoke Fruit Farm   \n",
       "23948                UK      Total Produce Ltd.   \n",
       "23949                UK  Tulipland Potatoes Ltd   \n",
       "23950      England (UK)         Tyrrells Crisps   \n",
       "23951      England (UK)         Tyrrells Crisps   \n",
       "\n",
       "                                                 address    brand_name  \\\n",
       "0                     Creechbarrow Road, Taunton TA1 2AN         Asda    \n",
       "1                     Creechbarrow Road, Taunton TA1 2AN         Asda    \n",
       "2                              Northgate, Louth LN11 0LT        Co-op    \n",
       "3                              Northgate, Louth LN11 0LT        Co-op    \n",
       "4                              Northgate, Louth LN11 0LT        Co-op    \n",
       "...                                                  ...           ...   \n",
       "23947  77 Havant Road, Hayling Island, Hampshire PO11...  None stated    \n",
       "23948  Callywith Gate Industrial Estate, Launceston R...  None stated    \n",
       "23949                   Fengate, Moulton Chapel PE12 0XL  None stated    \n",
       "23950  Tyrrells Court, Stretford Bridge, Leominster H...  None stated    \n",
       "23951  Tyrrells Court, Stretford Bridge, Leominster H...  None stated    \n",
       "\n",
       "                        packer_/_manufacturer_/_importer  \\\n",
       "0                     Asda Stores Ltd Leeds, UK LS11 5AD   \n",
       "1                     Asda Stores Ltd Leeds, UK LS11 5AD   \n",
       "2              Co-operative Group Ltd Manchester M60 0AG   \n",
       "3              Co-operative Group Ltd Manchester M60 0AG   \n",
       "4              Co-operative Group Ltd Manchester M60 0AG   \n",
       "...                                                  ...   \n",
       "23947  Stoke Fruit Farm 77 Havant Road, Hayling Islan...   \n",
       "23948       CS Duston & Son Colwith Farm, Par, Cornwall    \n",
       "23949                                 Garden of Elveden    \n",
       "23950                                         KP Crisps    \n",
       "23951                                         KP Crisps    \n",
       "\n",
       "      pesticide_residues_found_in_mg/kg_(mrl)        product address_postcode  \\\n",
       "0                     boscalid 0.03 (MRL = 2)          Apple          TA1 2AN   \n",
       "1             pyraclostrobin 0.01 (MRL = 0.5)          Apple          TA1 2AN   \n",
       "2                     boscalid 0.05 (MRL = 2)          Apple         LN11 0LT   \n",
       "3           flonicamid (sum) 0.02 (MRL = 0.2)          Apple         LN11 0LT   \n",
       "4             pyraclostrobin 0.03 (MRL = 0.5)          Apple         LN11 0LT   \n",
       "...                                       ...            ...              ...   \n",
       "23947         maleic hydrazide 7.7 (MRL = 60)  Potatoes_(GB)         PO11 0PT   \n",
       "23948          maleic hydrazide 17 (MRL = 60)  Potatoes_(GB)         PL31 2RQ   \n",
       "23949                                     NaN  Potatoes_(GB)         PE12 0XL   \n",
       "23950                                     NaN  Potatoes_(GB)          HR6 9DQ   \n",
       "23951                                     NaN  Potatoes_(GB)          HR6 9DQ   \n",
       "\n",
       "      packer__postcode         chem_name  amount_detected   mrl  amount_pc  \n",
       "0             LS11 5AD          boscalid             0.03   2.0   0.015000  \n",
       "1             LS11 5AD    pyraclostrobin             0.01   0.5   0.020000  \n",
       "2              M60 0AG          boscalid             0.05   2.0   0.025000  \n",
       "3              M60 0AG  flonicamid (sum)             0.02   0.2   0.100000  \n",
       "4              M60 0AG    pyraclostrobin             0.03   0.5   0.060000  \n",
       "...                ...               ...              ...   ...        ...  \n",
       "23947         PO11 0PT  maleic hydrazide             7.70  60.0   0.128333  \n",
       "23948                0  maleic hydrazide            17.00  60.0   0.283333  \n",
       "23949                0                 0             0.00   0.0   0.000000  \n",
       "23950                0                 0             0.00   0.0   0.000000  \n",
       "23951                0                 0             0.00   0.0   0.000000  \n",
       "\n",
       "[23952 rows x 16 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2 = pd.read_csv(os.path.join(folder_path,'combined_data.csv') ,index_col=0 )\n",
    "# change data type of columns\n",
    "df2['date_of_sampling'] = pd.to_datetime(df2['date_of_sampling'])\n",
    "df2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [],
   "source": [
    "df2.to_csv('./_data/df2')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "tags": [
     "hide-input"
    ]
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   "outputs": [
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>2430/2018</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Conference Pears</td>\n",
       "      <td>UK</td>\n",
       "      <td>Tesco</td>\n",
       "      <td>Albert Row, Oystermouth Road, Swansea SA1 3RA</td>\n",
       "      <td>None stated</td>\n",
       "      <td>Tesco Stores Ltd Welwyn Garden City AL7 1GA</td>\n",
       "      <td>chlormequat 0.03 (MRL = 0.6)</td>\n",
       "      <td>Grapes</td>\n",
       "      <td>UB2 5XJ</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>614</td>\n",
       "      <td>8006</td>\n",
       "      <td>3549</td>\n",
       "      <td>140</td>\n",
       "      <td>6617</td>\n",
       "      <td>2086</td>\n",
       "      <td>88</td>\n",
       "      <td>1667</td>\n",
       "      <td>343</td>\n",
       "      <td>9546</td>\n",
       "      <td>8831</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-10-15 21:31:26.573146112</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.231456</td>\n",
       "      <td>2.694487</td>\n",
       "      <td>0.213602</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-01-18 00:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-11-30 00:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>2017-11-28 00:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.012000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-07-16 00:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.080000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.066667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>NaN</td>\n",
       "      <td>2022-09-21 00:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>48.000000</td>\n",
       "      <td>182.000000</td>\n",
       "      <td>240.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.118951</td>\n",
       "      <td>6.792256</td>\n",
       "      <td>2.942220</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        sample_id               date_of_sampling       description  \\\n",
       "count       23952                          23952             23952   \n",
       "unique      10732                            NaN              4254   \n",
       "top     2430/2018                            NaN  Conference Pears   \n",
       "freq           42                            NaN               614   \n",
       "mean          NaN  2017-10-15 21:31:26.573146112               NaN   \n",
       "min           NaN            2016-01-18 00:00:00               NaN   \n",
       "25%           NaN            2016-11-30 00:00:00               NaN   \n",
       "50%           NaN            2017-11-28 00:00:00               NaN   \n",
       "75%           NaN            2018-07-16 00:00:00               NaN   \n",
       "max           NaN            2022-09-21 00:00:00               NaN   \n",
       "std           NaN                            NaN               NaN   \n",
       "\n",
       "       country_of_origin retail_outlet  \\\n",
       "count              23952         23898   \n",
       "unique               121          1140   \n",
       "top                   UK         Tesco   \n",
       "freq                8006          3549   \n",
       "mean                 NaN           NaN   \n",
       "min                  NaN           NaN   \n",
       "25%                  NaN           NaN   \n",
       "50%                  NaN           NaN   \n",
       "75%                  NaN           NaN   \n",
       "max                  NaN           NaN   \n",
       "std                  NaN           NaN   \n",
       "\n",
       "                                              address    brand_name  \\\n",
       "count                                           23898         23898   \n",
       "unique                                           4380           831   \n",
       "top     Albert Row, Oystermouth Road, Swansea SA1 3RA  None stated    \n",
       "freq                                              140          6617   \n",
       "mean                                              NaN           NaN   \n",
       "min                                               NaN           NaN   \n",
       "25%                                               NaN           NaN   \n",
       "50%                                               NaN           NaN   \n",
       "75%                                               NaN           NaN   \n",
       "max                                               NaN           NaN   \n",
       "std                                               NaN           NaN   \n",
       "\n",
       "                   packer_/_manufacturer_/_importer  \\\n",
       "count                                         23896   \n",
       "unique                                         3341   \n",
       "top     Tesco Stores Ltd Welwyn Garden City AL7 1GA   \n",
       "freq                                           2086   \n",
       "mean                                            NaN   \n",
       "min                                             NaN   \n",
       "25%                                             NaN   \n",
       "50%                                             NaN   \n",
       "75%                                             NaN   \n",
       "max                                             NaN   \n",
       "std                                             NaN   \n",
       "\n",
       "       pesticide_residues_found_in_mg/kg_(mrl) product address_postcode  \\\n",
       "count                                    16576   23952            23952   \n",
       "unique                                    4260     131             1638   \n",
       "top               chlormequat 0.03 (MRL = 0.6)  Grapes          UB2 5XJ   \n",
       "freq                                        88    1667              343   \n",
       "mean                                       NaN     NaN              NaN   \n",
       "min                                        NaN     NaN              NaN   \n",
       "25%                                        NaN     NaN              NaN   \n",
       "50%                                        NaN     NaN              NaN   \n",
       "75%                                        NaN     NaN              NaN   \n",
       "max                                        NaN     NaN              NaN   \n",
       "std                                        NaN     NaN              NaN   \n",
       "\n",
       "       packer__postcode chem_name  amount_detected           mrl     amount_pc  \n",
       "count             23952     23952     23952.000000  23952.000000  23952.000000  \n",
       "unique              821       186              NaN           NaN           NaN  \n",
       "top                   0         0              NaN           NaN           NaN  \n",
       "freq               9546      8831              NaN           NaN           NaN  \n",
       "mean                NaN       NaN         0.231456      2.694487      0.213602  \n",
       "min                 NaN       NaN         0.000000      0.000000      0.000000  \n",
       "25%                 NaN       NaN         0.000000      0.000000      0.000000  \n",
       "50%                 NaN       NaN         0.020000      0.500000      0.012000  \n",
       "75%                 NaN       NaN         0.080000      3.000000      0.066667  \n",
       "max                 NaN       NaN        48.000000    182.000000    240.000000  \n",
       "std                 NaN       NaN         1.118951      6.792256      2.942220  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2.describe(include='all', datetime_is_numeric=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Modify functions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "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>country_of_origin</th>\n",
       "      <th>amount_detected</th>\n",
       "      <th>mrl</th>\n",
       "      <th>amount_pc</th>\n",
       "      <th>number_of_tests</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>UK</td>\n",
       "      <td>0.195679</td>\n",
       "      <td>1.548986</td>\n",
       "      <td>0.155359</td>\n",
       "      <td>4698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Spain</td>\n",
       "      <td>0.146144</td>\n",
       "      <td>3.146354</td>\n",
       "      <td>0.293926</td>\n",
       "      <td>988</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>England (UK)</td>\n",
       "      <td>0.405924</td>\n",
       "      <td>3.488212</td>\n",
       "      <td>0.048455</td>\n",
       "      <td>397</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>South Africa</td>\n",
       "      <td>0.324500</td>\n",
       "      <td>3.499751</td>\n",
       "      <td>0.098734</td>\n",
       "      <td>376</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Italy</td>\n",
       "      <td>0.124684</td>\n",
       "      <td>1.740408</td>\n",
       "      <td>0.625776</td>\n",
       "      <td>364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>St Lucia</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>Macedonia</td>\n",
       "      <td>0.132857</td>\n",
       "      <td>2.571429</td>\n",
       "      <td>0.051429</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>South West Atlantic</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>Russia</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>Aegean Sea</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>121 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       country_of_origin  amount_detected       mrl  amount_pc  \\\n",
       "0                     UK         0.195679  1.548986   0.155359   \n",
       "1                  Spain         0.146144  3.146354   0.293926   \n",
       "2           England (UK)         0.405924  3.488212   0.048455   \n",
       "3           South Africa         0.324500  3.499751   0.098734   \n",
       "4                  Italy         0.124684  1.740408   0.625776   \n",
       "..                   ...              ...       ...        ...   \n",
       "116             St Lucia         1.500000  2.000000   0.750000   \n",
       "117            Macedonia         0.132857  2.571429   0.051429   \n",
       "118  South West Atlantic         0.000000  0.000000   0.000000   \n",
       "119               Russia         0.000000  0.000000   0.000000   \n",
       "120           Aegean Sea         0.000000  0.000000   0.000000   \n",
       "\n",
       "     number_of_tests  \n",
       "0               4698  \n",
       "1                988  \n",
       "2                397  \n",
       "3                376  \n",
       "4                364  \n",
       "..               ...  \n",
       "116                1  \n",
       "117                1  \n",
       "118                1  \n",
       "119                1  \n",
       "120                1  \n",
       "\n",
       "[121 rows x 5 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "\n",
    "df2_grouped, df2_grouped_sample = groupby_id_and_q(df2)\n",
    "df2_grouped"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "sample_id                    object\n",
       "date_of_sampling     datetime64[ns]\n",
       "country_of_origin            object\n",
       "amount_detected             float64\n",
       "mrl                         float64\n",
       "amount_pc                   float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2_grouped_sample.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot functions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "range_plots(df2);\n",
    "range_plots(df2,plot_type='hist');\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 700x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 700x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 700x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "\n",
    "pie_plot(df2_grouped,col_groupby='country_of_origin' , col_plot='amount_detected');\n",
    "\n",
    "pie_plot(df2_grouped,col_groupby='country_of_origin' , col_plot='number_of_tests');\n",
    "\n",
    "pie_plot(df2_grouped,col_groupby='country_of_origin' , col_plot='amount_pc');\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Changes with time\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "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>sample_id</th>\n",
       "      <th>date_of_sampling</th>\n",
       "      <th>description</th>\n",
       "      <th>country_of_origin</th>\n",
       "      <th>retail_outlet</th>\n",
       "      <th>address</th>\n",
       "      <th>brand_name</th>\n",
       "      <th>packer_/_manufacturer_/_importer</th>\n",
       "      <th>pesticide_residues_found_in_mg/kg_(mrl)</th>\n",
       "      <th>product</th>\n",
       "      <th>address_postcode</th>\n",
       "      <th>packer__postcode</th>\n",
       "      <th>chem_name</th>\n",
       "      <th>amount_detected</th>\n",
       "      <th>mrl</th>\n",
       "      <th>amount_pc</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1958/2016</td>\n",
       "      <td>2016-08-08</td>\n",
       "      <td>Bramley Apples</td>\n",
       "      <td>UK</td>\n",
       "      <td>Asda</td>\n",
       "      <td>Creechbarrow Road, Taunton TA1 2AN</td>\n",
       "      <td>Asda</td>\n",
       "      <td>Asda Stores Ltd Leeds, UK LS11 5AD</td>\n",
       "      <td>boscalid 0.03 (MRL = 2)</td>\n",
       "      <td>Apple</td>\n",
       "      <td>TA1 2AN</td>\n",
       "      <td>LS11 5AD</td>\n",
       "      <td>boscalid</td>\n",
       "      <td>0.03</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.015000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1958/2016</td>\n",
       "      <td>2016-08-08</td>\n",
       "      <td>Bramley Apples</td>\n",
       "      <td>UK</td>\n",
       "      <td>Asda</td>\n",
       "      <td>Creechbarrow Road, Taunton TA1 2AN</td>\n",
       "      <td>Asda</td>\n",
       "      <td>Asda Stores Ltd Leeds, UK LS11 5AD</td>\n",
       "      <td>pyraclostrobin 0.01 (MRL = 0.5)</td>\n",
       "      <td>Apple</td>\n",
       "      <td>TA1 2AN</td>\n",
       "      <td>LS11 5AD</td>\n",
       "      <td>pyraclostrobin</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.020000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0230/2016</td>\n",
       "      <td>2016-08-08</td>\n",
       "      <td>Bramley Apples</td>\n",
       "      <td>UK</td>\n",
       "      <td>Co-op</td>\n",
       "      <td>Northgate, Louth LN11 0LT</td>\n",
       "      <td>Co-op</td>\n",
       "      <td>Co-operative Group Ltd Manchester M60 0AG</td>\n",
       "      <td>boscalid 0.05 (MRL = 2)</td>\n",
       "      <td>Apple</td>\n",
       "      <td>LN11 0LT</td>\n",
       "      <td>M60 0AG</td>\n",
       "      <td>boscalid</td>\n",
       "      <td>0.05</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.025000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0230/2016</td>\n",
       "      <td>2016-08-08</td>\n",
       "      <td>Bramley Apples</td>\n",
       "      <td>UK</td>\n",
       "      <td>Co-op</td>\n",
       "      <td>Northgate, Louth LN11 0LT</td>\n",
       "      <td>Co-op</td>\n",
       "      <td>Co-operative Group Ltd Manchester M60 0AG</td>\n",
       "      <td>flonicamid (sum) 0.02 (MRL = 0.2)</td>\n",
       "      <td>Apple</td>\n",
       "      <td>LN11 0LT</td>\n",
       "      <td>M60 0AG</td>\n",
       "      <td>flonicamid (sum)</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.100000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0230/2016</td>\n",
       "      <td>2016-08-08</td>\n",
       "      <td>Bramley Apples</td>\n",
       "      <td>UK</td>\n",
       "      <td>Co-op</td>\n",
       "      <td>Northgate, Louth LN11 0LT</td>\n",
       "      <td>Co-op</td>\n",
       "      <td>Co-operative Group Ltd Manchester M60 0AG</td>\n",
       "      <td>pyraclostrobin 0.03 (MRL = 0.5)</td>\n",
       "      <td>Apple</td>\n",
       "      <td>LN11 0LT</td>\n",
       "      <td>M60 0AG</td>\n",
       "      <td>pyraclostrobin</td>\n",
       "      <td>0.03</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.060000</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23947</th>\n",
       "      <td>0792/2022</td>\n",
       "      <td>2022-09-08</td>\n",
       "      <td>Marfona Unwashed Potatoes</td>\n",
       "      <td>UK</td>\n",
       "      <td>Stoke Fruit Farm</td>\n",
       "      <td>77 Havant Road, Hayling Island, Hampshire PO11...</td>\n",
       "      <td>None stated</td>\n",
       "      <td>Stoke Fruit Farm 77 Havant Road, Hayling Islan...</td>\n",
       "      <td>maleic hydrazide 7.7 (MRL = 60)</td>\n",
       "      <td>Potatoes_(GB)</td>\n",
       "      <td>PO11 0PT</td>\n",
       "      <td>PO11 0PT</td>\n",
       "      <td>maleic hydrazide</td>\n",
       "      <td>7.70</td>\n",
       "      <td>60.0</td>\n",
       "      <td>0.128333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23948</th>\n",
       "      <td>0765/2022</td>\n",
       "      <td>2022-09-14</td>\n",
       "      <td>Sagitta Potatoes</td>\n",
       "      <td>UK</td>\n",
       "      <td>Total Produce Ltd.</td>\n",
       "      <td>Callywith Gate Industrial Estate, Launceston R...</td>\n",
       "      <td>None stated</td>\n",
       "      <td>CS Duston &amp; Son Colwith Farm, Par, Cornwall</td>\n",
       "      <td>maleic hydrazide 17 (MRL = 60)</td>\n",
       "      <td>Potatoes_(GB)</td>\n",
       "      <td>PL31 2RQ</td>\n",
       "      <td>0</td>\n",
       "      <td>maleic hydrazide</td>\n",
       "      <td>17.00</td>\n",
       "      <td>60.0</td>\n",
       "      <td>0.283333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23949</th>\n",
       "      <td>0938/2022</td>\n",
       "      <td>2022-09-01</td>\n",
       "      <td>Marfona Ware Potatoes</td>\n",
       "      <td>UK</td>\n",
       "      <td>Tulipland Potatoes Ltd</td>\n",
       "      <td>Fengate, Moulton Chapel PE12 0XL</td>\n",
       "      <td>None stated</td>\n",
       "      <td>Garden of Elveden</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Potatoes_(GB)</td>\n",
       "      <td>PE12 0XL</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23950</th>\n",
       "      <td>0833/2022</td>\n",
       "      <td>2022-08-31</td>\n",
       "      <td>Lady Rosetta</td>\n",
       "      <td>England (UK)</td>\n",
       "      <td>Tyrrells Crisps</td>\n",
       "      <td>Tyrrells Court, Stretford Bridge, Leominster H...</td>\n",
       "      <td>None stated</td>\n",
       "      <td>KP Crisps</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Potatoes_(GB)</td>\n",
       "      <td>HR6 9DQ</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23951</th>\n",
       "      <td>0833/2022</td>\n",
       "      <td>2022-08-31</td>\n",
       "      <td>Lady Rosetta</td>\n",
       "      <td>England (UK)</td>\n",
       "      <td>Tyrrells Crisps</td>\n",
       "      <td>Tyrrells Court, Stretford Bridge, Leominster H...</td>\n",
       "      <td>None stated</td>\n",
       "      <td>KP Crisps</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Potatoes_(GB)</td>\n",
       "      <td>HR6 9DQ</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>23952 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       sample_id date_of_sampling                description  \\\n",
       "0      1958/2016       2016-08-08             Bramley Apples   \n",
       "1      1958/2016       2016-08-08             Bramley Apples   \n",
       "2      0230/2016       2016-08-08             Bramley Apples   \n",
       "3      0230/2016       2016-08-08             Bramley Apples   \n",
       "4      0230/2016       2016-08-08             Bramley Apples   \n",
       "...          ...              ...                        ...   \n",
       "23947  0792/2022       2022-09-08  Marfona Unwashed Potatoes   \n",
       "23948  0765/2022       2022-09-14           Sagitta Potatoes   \n",
       "23949  0938/2022       2022-09-01      Marfona Ware Potatoes   \n",
       "23950  0833/2022       2022-08-31               Lady Rosetta   \n",
       "23951  0833/2022       2022-08-31               Lady Rosetta   \n",
       "\n",
       "      country_of_origin           retail_outlet  \\\n",
       "0                    UK                    Asda   \n",
       "1                    UK                    Asda   \n",
       "2                    UK                   Co-op   \n",
       "3                    UK                   Co-op   \n",
       "4                    UK                   Co-op   \n",
       "...                 ...                     ...   \n",
       "23947                UK        Stoke Fruit Farm   \n",
       "23948                UK      Total Produce Ltd.   \n",
       "23949                UK  Tulipland Potatoes Ltd   \n",
       "23950      England (UK)         Tyrrells Crisps   \n",
       "23951      England (UK)         Tyrrells Crisps   \n",
       "\n",
       "                                                 address    brand_name  \\\n",
       "0                     Creechbarrow Road, Taunton TA1 2AN         Asda    \n",
       "1                     Creechbarrow Road, Taunton TA1 2AN         Asda    \n",
       "2                              Northgate, Louth LN11 0LT        Co-op    \n",
       "3                              Northgate, Louth LN11 0LT        Co-op    \n",
       "4                              Northgate, Louth LN11 0LT        Co-op    \n",
       "...                                                  ...           ...   \n",
       "23947  77 Havant Road, Hayling Island, Hampshire PO11...  None stated    \n",
       "23948  Callywith Gate Industrial Estate, Launceston R...  None stated    \n",
       "23949                   Fengate, Moulton Chapel PE12 0XL  None stated    \n",
       "23950  Tyrrells Court, Stretford Bridge, Leominster H...  None stated    \n",
       "23951  Tyrrells Court, Stretford Bridge, Leominster H...  None stated    \n",
       "\n",
       "                        packer_/_manufacturer_/_importer  \\\n",
       "0                     Asda Stores Ltd Leeds, UK LS11 5AD   \n",
       "1                     Asda Stores Ltd Leeds, UK LS11 5AD   \n",
       "2              Co-operative Group Ltd Manchester M60 0AG   \n",
       "3              Co-operative Group Ltd Manchester M60 0AG   \n",
       "4              Co-operative Group Ltd Manchester M60 0AG   \n",
       "...                                                  ...   \n",
       "23947  Stoke Fruit Farm 77 Havant Road, Hayling Islan...   \n",
       "23948       CS Duston & Son Colwith Farm, Par, Cornwall    \n",
       "23949                                 Garden of Elveden    \n",
       "23950                                         KP Crisps    \n",
       "23951                                         KP Crisps    \n",
       "\n",
       "      pesticide_residues_found_in_mg/kg_(mrl)        product address_postcode  \\\n",
       "0                     boscalid 0.03 (MRL = 2)          Apple          TA1 2AN   \n",
       "1             pyraclostrobin 0.01 (MRL = 0.5)          Apple          TA1 2AN   \n",
       "2                     boscalid 0.05 (MRL = 2)          Apple         LN11 0LT   \n",
       "3           flonicamid (sum) 0.02 (MRL = 0.2)          Apple         LN11 0LT   \n",
       "4             pyraclostrobin 0.03 (MRL = 0.5)          Apple         LN11 0LT   \n",
       "...                                       ...            ...              ...   \n",
       "23947         maleic hydrazide 7.7 (MRL = 60)  Potatoes_(GB)         PO11 0PT   \n",
       "23948          maleic hydrazide 17 (MRL = 60)  Potatoes_(GB)         PL31 2RQ   \n",
       "23949                                     NaN  Potatoes_(GB)         PE12 0XL   \n",
       "23950                                     NaN  Potatoes_(GB)          HR6 9DQ   \n",
       "23951                                     NaN  Potatoes_(GB)          HR6 9DQ   \n",
       "\n",
       "      packer__postcode         chem_name  amount_detected   mrl  amount_pc  \n",
       "0             LS11 5AD          boscalid             0.03   2.0   0.015000  \n",
       "1             LS11 5AD    pyraclostrobin             0.01   0.5   0.020000  \n",
       "2              M60 0AG          boscalid             0.05   2.0   0.025000  \n",
       "3              M60 0AG  flonicamid (sum)             0.02   0.2   0.100000  \n",
       "4              M60 0AG    pyraclostrobin             0.03   0.5   0.060000  \n",
       "...                ...               ...              ...   ...        ...  \n",
       "23947         PO11 0PT  maleic hydrazide             7.70  60.0   0.128333  \n",
       "23948                0  maleic hydrazide            17.00  60.0   0.283333  \n",
       "23949                0                 0             0.00   0.0   0.000000  \n",
       "23950                0                 0             0.00   0.0   0.000000  \n",
       "23951                0                 0             0.00   0.0   0.000000  \n",
       "\n",
       "[23952 rows x 16 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Return a named tuple object with three components: year, week and weekday\n",
    "# https://docs.python.org/3/library/datetime.html#datetime.date.isocalendar\n",
    "def get_week(x):\n",
    "    \n",
    "    return x.isocalendar()[1]\n",
    "\n",
    "\n",
    "xx=df2_grouped_sample.copy()\n",
    "xx['week'] = df2_grouped_sample['date_of_sampling'].apply(get_week)\n",
    "xx['day'] = pd.DatetimeIndex(xx['date_of_sampling']).day\n",
    "xx['month'] = pd.DatetimeIndex(xx['date_of_sampling']).month\n",
    "xx['quarter'] = pd.DatetimeIndex(xx['date_of_sampling']).quarter\n",
    "xx['year'] = pd.DatetimeIndex(xx['date_of_sampling']).year\n",
    "\n",
    "\n",
    "xx2 = xx.groupby(['year','month','week'], as_index=False).mean(numeric_only=True)\n",
    "\n",
    "\n",
    "xx2['date_grouped']=pd.to_datetime(\n",
    "    {\"year\": xx2['year'], \"month\": xx2['month'], \"day\": xx2['day']}   \n",
    ")\n",
    "xx2\n",
    "\n",
    "plt.plot(xx2['date_grouped'], xx2['amount_pc'],'ok')\n",
    "\n",
    "\n",
    "xx2 = xx.groupby(['year','quarter'], as_index=False).mean(numeric_only=True)\n",
    "xx2['month'] = xx2['month'].astype('int')\n",
    "xx2['day'] = 1\n",
    "xx2['date_grouped']=pd.to_datetime(\n",
    "    {\"year\": xx2['year'], \"month\": xx2['month'], \"day\": xx2['day']}   \n",
    ")\n",
    "plt.plot(xx2['date_grouped'], xx2['amount_pc'],'b--');\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "ons-env",
   "language": "python",
   "name": "ons-env"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  },
  "vscode": {
   "interpreter": {
    "hash": "5ca7ab3073cce3b29d80f881db5d07487222bdafec031d83c06f5ba7dfb5c682"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}