05_addcontr_describe_output.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import requests\n",
    "import numpy as np\n",
    "\n",
    "from time import sleep\n",
    "from tqdm import tqdm_notebook\n",
    "from scipy.interpolate import spline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['contract_id', 'procuring_entity', 'procuring_entity_id',\n",
      "       'procuring_entity_type', 'region', 'item_desc', 'cpv', 'tender_id',\n",
      "       'procurement_type', 'tenderURL'],\n",
      "      dtype='object')\n",
      "Index(['contract_id', 'month', 'year', 'amount_1000m3', 'supply_implied',\n",
      "       'start_date', 'addcontr_date', 'price', 'baseline_date',\n",
      "       'baseline_price', 'price_change_noformula', 'expenses_fact',\n",
      "       'exchange_rate_base', 'ncg_base', 'ncg_mean', 'exchange_rate_index',\n",
      "       'ueb_baseline', 'ueb_index', 'price_formula', 'price_change_formula',\n",
      "       'expenses_formula', 'potential_economy'],\n",
      "      dtype='object')\n",
      "(1210, 3)\n"
     ]
    },
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>expenses_fact</th>\n",
       "      <th>expenses_formula</th>\n",
       "      <th>potential_economy</th>\n",
       "      <th>perc_economy</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>contract_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "    <tr>\n",
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       "      <td>1.334929e+06</td>\n",
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       "      <td>1.006493e+06</td>\n",
       "      <td>9.957085e+05</td>\n",
       "      <td>10784.646048</td>\n",
       "      <td>0.010715</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "                                  expenses_fact  expenses_formula  \\\n",
       "contract_id                                                         \n",
       "001de2081beb4e6cbe967805f79ac92f   1.917854e+06      1.903807e+06   \n",
       "00bd7256552349a48243e136576c6e0b   4.400155e+06      4.265746e+06   \n",
       "00e9bb8f33ed4b188c707d596236f809   8.405672e+05      7.840289e+05   \n",
       "01182e8dd7f44459be923c17cedf896b   1.334929e+06      1.273113e+06   \n",
       "0118feb97c3d4c1ba4eaf8160382cd85   1.006493e+06      9.957085e+05   \n",
       "\n",
       "                                  potential_economy  perc_economy  \n",
       "contract_id                                                        \n",
       "001de2081beb4e6cbe967805f79ac92f       14046.568035      0.007324  \n",
       "00bd7256552349a48243e136576c6e0b      134408.789108      0.030546  \n",
       "00e9bb8f33ed4b188c707d596236f809       56538.261249      0.067262  \n",
       "01182e8dd7f44459be923c17cedf896b       61815.903213      0.046307  \n",
       "0118feb97c3d4c1ba4eaf8160382cd85       10784.646048      0.010715  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'''\n",
    "Import data produced in previous scripts\n",
    "'''\n",
    "columns = ['contract_id', 'procuring_entity', 'procuring_entity_id',\n",
    "       'procuring_entity_type', 'region', 'item_desc', 'cpv',\n",
    "       'tender_id', 'procurement_type', 'tenderURL']\n",
    "data_addcontr = pd.read_excel('04_output/potential_economy_v2.xlsx', sheet_name = 'Sheet1')\n",
    "\n",
    "data_addcontr_raw = pd.read_excel('04_output/addcontr_all_clean_v1.5.xlsx', 'contracts_short')\n",
    "data_contracts_raw = pd.read_excel('02_data/addcontr_gas_1mln_v2.xlsx')[columns].drop_duplicates()\n",
    "data_contracts_dates = data_addcontr_raw[['contract_id','date_signed','contract_end']].drop_duplicates()\n",
    "data_contracts = data_addcontr.groupby(by = 'contract_id')['expenses_fact','expenses_formula','potential_economy'].sum()\n",
    "data_contracts['perc_economy'] = data_contracts.loc[:,'potential_economy']/data_contracts.loc[:,'expenses_fact']\n",
    "print(data_contracts_raw.columns)\n",
    "print(data_addcontr.columns)\n",
    "print(data_contracts_dates.shape)\n",
    "data_contracts.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>contract_id</th>\n",
       "      <th>date_signed</th>\n",
       "      <th>date_end</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>001de2081beb4e6cbe967805f79ac92f</td>\n",
       "      <td>2018-01-19</td>\n",
       "      <td>2018-12-31 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>00bd7256552349a48243e136576c6e0b</td>\n",
       "      <td>2018-01-29</td>\n",
       "      <td>2018-12-31 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>00e9bb8f33ed4b188c707d596236f809</td>\n",
       "      <td>2018-01-29</td>\n",
       "      <td>2018-12-31 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>01182e8dd7f44459be923c17cedf896b</td>\n",
       "      <td>2018-02-12</td>\n",
       "      <td>2018-12-31 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0118feb97c3d4c1ba4eaf8160382cd85</td>\n",
       "      <td>2018-02-27</td>\n",
       "      <td>2018-12-31 00:00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "                        contract_id date_signed             date_end\n",
       "0  001de2081beb4e6cbe967805f79ac92f  2018-01-19  2018-12-31 00:00:00\n",
       "1  00bd7256552349a48243e136576c6e0b  2018-01-29  2018-12-31 00:00:00\n",
       "2  00e9bb8f33ed4b188c707d596236f809  2018-01-29  2018-12-31 00:00:00\n",
       "3  01182e8dd7f44459be923c17cedf896b  2018-02-12  2018-12-31 00:00:00\n",
       "4  0118feb97c3d4c1ba4eaf8160382cd85  2018-02-27  2018-12-31 00:00:00"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#станом на січень вже неактуально\n",
    "#докачати дати договорів\n",
    "entry_point_contracts = 'https://public.api.openprocurement.org/api/2.4/contracts/'\n",
    "contract_dates = []\n",
    "\n",
    "for contract_id in tqdm_notebook(data_contracts['contract_id']):\n",
    "    response_data = requests.get(entry_point_contracts + contract_id).json()['data']\n",
    "    \n",
    "    try:\n",
    "        date_signed = pd.to_datetime(response_data['dateSigned'][:10])\n",
    "    except:\n",
    "        date_signed = 'unknown'\n",
    "    \n",
    "    try:\n",
    "        date_end = pd.to_datetime(response_data['period']['endDate'][:10])\n",
    "    except KeyError:\n",
    "        date_end = 'unknown'\n",
    "    \n",
    "    contract_dates.append((contract_id,date_signed,date_end))\n",
    "    sleep(0.2)\n",
    "\n",
    "data_contract_dates = pd.DataFrame.from_records(contract_dates, columns = ['contract_id','date_signed','date_end'])\n",
    "data_contract_dates.to_csv('contract_dates_proper.csv')\n",
    "data_contract_dates.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
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     "text": [
      "\n"
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>contract_id</th>\n",
       "      <th>start_price</th>\n",
       "      <th>fin_price_formula</th>\n",
       "      <th>fin_price_noformula</th>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>001de2081beb4e6cbe967805f79ac92f</td>\n",
       "      <td>10380</td>\n",
       "      <td>13814</td>\n",
       "      <td>13814</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>00bd7256552349a48243e136576c6e0b</td>\n",
       "      <td>8871</td>\n",
       "      <td>14850</td>\n",
       "      <td>14850</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
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       "      <td>8400</td>\n",
       "      <td>8106</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
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       "      <td>8250</td>\n",
       "      <td>13038</td>\n",
       "      <td>13038</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0118feb97c3d4c1ba4eaf8160382cd85</td>\n",
       "      <td>11151</td>\n",
       "      <td>12046</td>\n",
       "      <td>15004</td>\n",
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      "text/plain": [
       "                        contract_id  start_price  fin_price_formula  \\\n",
       "0  001de2081beb4e6cbe967805f79ac92f        10380              13814   \n",
       "1  00bd7256552349a48243e136576c6e0b         8871              14850   \n",
       "2  00e9bb8f33ed4b188c707d596236f809         8400               8106   \n",
       "3  01182e8dd7f44459be923c17cedf896b         8250              13038   \n",
       "4  0118feb97c3d4c1ba4eaf8160382cd85        11151              12046   \n",
       "\n",
       "   fin_price_noformula  \n",
       "0                13814  \n",
       "1                14850  \n",
       "2                10155  \n",
       "3                13038  \n",
       "4                15004  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'''\n",
    "Create columns with initial and final prices for each contract\n",
    "'''\n",
    "contract_prices = []\n",
    "for contract_id in tqdm_notebook(data_addcontr['contract_id'].unique()):\n",
    "    \n",
    "    current_contract = data_addcontr.loc[data_addcontr['contract_id'] == contract_id]\n",
    "    min_date = min(current_contract['start_date'])\n",
    "    max_date = max(current_contract['start_date'])\n",
    "    \n",
    "    start_price = int(current_contract.loc[current_contract['start_date'] == min_date]['baseline_price'])\n",
    "    fin_price_formula = int(current_contract.loc[current_contract['start_date'] == max_date]['price_formula'])\n",
    "    fin_price_noformula = int(current_contract.loc[current_contract['start_date'] == max_date]['price'])\n",
    "    contract_prices.append((contract_id,start_price,fin_price_formula,fin_price_noformula))\n",
    "\n",
    "data_contracts_prices = pd.DataFrame.from_records(contract_prices, columns = ['contract_id','start_price','fin_price_formula','fin_price_noformula'])\n",
    "data_contracts_prices.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1183, 19)\n",
      "Index(['contract_id', 'expenses_fact', 'expenses_formula', 'potential_economy',\n",
      "       'perc_economy', 'start_price', 'fin_price_formula',\n",
      "       'fin_price_noformula', 'date_signed', 'contract_end',\n",
      "       'procuring_entity', 'procuring_entity_id', 'procuring_entity_type',\n",
      "       'region', 'item_desc', 'cpv', 'tender_id', 'procurement_type',\n",
      "       'tenderURL'],\n",
      "      dtype='object')\n"
     ]
    },
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>contract_id</th>\n",
       "      <th>expenses_fact</th>\n",
       "      <th>expenses_formula</th>\n",
       "      <th>potential_economy</th>\n",
       "      <th>perc_economy</th>\n",
       "      <th>start_price</th>\n",
       "      <th>fin_price_formula</th>\n",
       "      <th>fin_price_noformula</th>\n",
       "      <th>date_signed</th>\n",
       "      <th>contract_end</th>\n",
       "      <th>procuring_entity</th>\n",
       "      <th>procuring_entity_id</th>\n",
       "      <th>procuring_entity_type</th>\n",
       "      <th>region</th>\n",
       "      <th>item_desc</th>\n",
       "      <th>cpv</th>\n",
       "      <th>tender_id</th>\n",
       "      <th>procurement_type</th>\n",
       "      <th>tenderURL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>001de2081beb4e6cbe967805f79ac92f</td>\n",
       "      <td>1.917854e+06</td>\n",
       "      <td>1.903807e+06</td>\n",
       "      <td>14046.568035</td>\n",
       "      <td>0.007324</td>\n",
       "      <td>10380</td>\n",
       "      <td>13814</td>\n",
       "      <td>13814</td>\n",
       "      <td>2018-01-19</td>\n",
       "      <td>2018-12-31 00:00:00</td>\n",
       "      <td>КЗ Хмельницький обласний центр фізичного вихов...</td>\n",
       "      <td>22766553</td>\n",
       "      <td>general</td>\n",
       "      <td>Хмельницька область</td>\n",
       "      <td>природний газ</td>\n",
       "      <td>09120000-6</td>\n",
       "      <td>UA-2017-12-07-000132-b</td>\n",
       "      <td>aboveThresholdUA</td>\n",
       "      <td>https://prozorro.gov.ua/tender/UA-2017-12-07-0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>00bd7256552349a48243e136576c6e0b</td>\n",
       "      <td>4.400155e+06</td>\n",
       "      <td>4.265746e+06</td>\n",
       "      <td>134408.789108</td>\n",
       "      <td>0.030546</td>\n",
       "      <td>8871</td>\n",
       "      <td>14850</td>\n",
       "      <td>14850</td>\n",
       "      <td>2018-01-29</td>\n",
       "      <td>2018-12-31 00:00:00</td>\n",
       "      <td>ВІДДІЛ ОСВІТИ КРЕМЕНЕЦЬКОЇ РАЙОННОЇ ДЕРЖАВНОЇ ...</td>\n",
       "      <td>2145990</td>\n",
       "      <td>general</td>\n",
       "      <td>Тернопільська область</td>\n",
       "      <td>Природний газ</td>\n",
       "      <td>09120000-6</td>\n",
       "      <td>UA-2017-12-05-001157-c</td>\n",
       "      <td>aboveThresholdUA</td>\n",
       "      <td>https://prozorro.gov.ua/tender/UA-2017-12-05-0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>00e9bb8f33ed4b188c707d596236f809</td>\n",
       "      <td>8.405672e+05</td>\n",
       "      <td>7.840289e+05</td>\n",
       "      <td>56538.261249</td>\n",
       "      <td>0.067262</td>\n",
       "      <td>8400</td>\n",
       "      <td>8106</td>\n",
       "      <td>10155</td>\n",
       "      <td>2018-01-29</td>\n",
       "      <td>2018-12-31 00:00:00</td>\n",
       "      <td>Відділ освіти Жашківської районної державної а...</td>\n",
       "      <td>2147109</td>\n",
       "      <td>general</td>\n",
       "      <td>Черкаська область</td>\n",
       "      <td>природний газ</td>\n",
       "      <td>09120000-6</td>\n",
       "      <td>UA-2017-11-27-000324-a</td>\n",
       "      <td>aboveThresholdUA</td>\n",
       "      <td>https://prozorro.gov.ua/tender/UA-2017-11-27-0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>01182e8dd7f44459be923c17cedf896b</td>\n",
       "      <td>1.334929e+06</td>\n",
       "      <td>1.273113e+06</td>\n",
       "      <td>61815.903213</td>\n",
       "      <td>0.046307</td>\n",
       "      <td>8250</td>\n",
       "      <td>13038</td>\n",
       "      <td>13038</td>\n",
       "      <td>2018-02-12</td>\n",
       "      <td>2019-03-01 00:00:00</td>\n",
       "      <td>КОМУНАЛЬНИЙ ВИЩИЙ НАВЧАЛЬНИЙ ЗАКЛАД \"УМАНСЬКИЙ...</td>\n",
       "      <td>2125645</td>\n",
       "      <td>general</td>\n",
       "      <td>Черкаська область</td>\n",
       "      <td>природний газ</td>\n",
       "      <td>09120000-6</td>\n",
       "      <td>UA-2018-01-26-000439-c</td>\n",
       "      <td>negotiation</td>\n",
       "      <td>https://prozorro.gov.ua/tender/UA-2018-01-26-0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0118feb97c3d4c1ba4eaf8160382cd85</td>\n",
       "      <td>1.006493e+06</td>\n",
       "      <td>9.957085e+05</td>\n",
       "      <td>10784.646048</td>\n",
       "      <td>0.010715</td>\n",
       "      <td>11151</td>\n",
       "      <td>12046</td>\n",
       "      <td>15004</td>\n",
       "      <td>2018-02-27</td>\n",
       "      <td>2019-01-31 00:00:00</td>\n",
       "      <td>Відділ освіти Теребовлянської районної державн...</td>\n",
       "      <td>2146038</td>\n",
       "      <td>general</td>\n",
       "      <td>Тернопільська область</td>\n",
       "      <td>Природний газ</td>\n",
       "      <td>09123000-7</td>\n",
       "      <td>UA-2018-02-14-001194-a</td>\n",
       "      <td>negotiation</td>\n",
       "      <td>https://prozorro.gov.ua/tender/UA-2018-02-14-0...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        contract_id  expenses_fact  expenses_formula  \\\n",
       "0  001de2081beb4e6cbe967805f79ac92f   1.917854e+06      1.903807e+06   \n",
       "1  00bd7256552349a48243e136576c6e0b   4.400155e+06      4.265746e+06   \n",
       "2  00e9bb8f33ed4b188c707d596236f809   8.405672e+05      7.840289e+05   \n",
       "3  01182e8dd7f44459be923c17cedf896b   1.334929e+06      1.273113e+06   \n",
       "4  0118feb97c3d4c1ba4eaf8160382cd85   1.006493e+06      9.957085e+05   \n",
       "\n",
       "   potential_economy  perc_economy  start_price  fin_price_formula  \\\n",
       "0       14046.568035      0.007324        10380              13814   \n",
       "1      134408.789108      0.030546         8871              14850   \n",
       "2       56538.261249      0.067262         8400               8106   \n",
       "3       61815.903213      0.046307         8250              13038   \n",
       "4       10784.646048      0.010715        11151              12046   \n",
       "\n",
       "   fin_price_noformula date_signed         contract_end  \\\n",
       "0                13814  2018-01-19  2018-12-31 00:00:00   \n",
       "1                14850  2018-01-29  2018-12-31 00:00:00   \n",
       "2                10155  2018-01-29  2018-12-31 00:00:00   \n",
       "3                13038  2018-02-12  2019-03-01 00:00:00   \n",
       "4                15004  2018-02-27  2019-01-31 00:00:00   \n",
       "\n",
       "                                    procuring_entity  procuring_entity_id  \\\n",
       "0  КЗ Хмельницький обласний центр фізичного вихов...             22766553   \n",
       "1  ВІДДІЛ ОСВІТИ КРЕМЕНЕЦЬКОЇ РАЙОННОЇ ДЕРЖАВНОЇ ...              2145990   \n",
       "2  Відділ освіти Жашківської районної державної а...              2147109   \n",
       "3  КОМУНАЛЬНИЙ ВИЩИЙ НАВЧАЛЬНИЙ ЗАКЛАД \"УМАНСЬКИЙ...              2125645   \n",
       "4  Відділ освіти Теребовлянської районної державн...              2146038   \n",
       "\n",
       "  procuring_entity_type                 region      item_desc         cpv  \\\n",
       "0               general    Хмельницька область  природний газ  09120000-6   \n",
       "1               general  Тернопільська область  Природний газ  09120000-6   \n",
       "2               general      Черкаська область  природний газ  09120000-6   \n",
       "3               general      Черкаська область  природний газ  09120000-6   \n",
       "4               general  Тернопільська область  Природний газ  09123000-7   \n",
       "\n",
       "                tender_id  procurement_type  \\\n",
       "0  UA-2017-12-07-000132-b  aboveThresholdUA   \n",
       "1  UA-2017-12-05-001157-c  aboveThresholdUA   \n",
       "2  UA-2017-11-27-000324-a  aboveThresholdUA   \n",
       "3  UA-2018-01-26-000439-c       negotiation   \n",
       "4  UA-2018-02-14-001194-a       negotiation   \n",
       "\n",
       "                                           tenderURL  \n",
       "0  https://prozorro.gov.ua/tender/UA-2017-12-07-0...  \n",
       "1  https://prozorro.gov.ua/tender/UA-2017-12-05-0...  \n",
       "2  https://prozorro.gov.ua/tender/UA-2017-11-27-0...  \n",
       "3  https://prozorro.gov.ua/tender/UA-2018-01-26-0...  \n",
       "4  https://prozorro.gov.ua/tender/UA-2018-02-14-0...  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'''\n",
    "Create a dataframe with data for each contract:\n",
    "1. De facto expenses\n",
    "2. Expenses in case the indexation formula was applied\n",
    "3. Potential economy\n",
    "4. Potential economy in percent\n",
    "5. Initial and final price\n",
    "6. Dates the contract was signed and completed (terminated)\n",
    "6. Other relevant data (procuring entity, procurement type, etc.)\n",
    "'''\n",
    "data_contracts = data_contracts.merge(data_contracts_prices, how='inner', on='contract_id')\n",
    "data_contracts = data_contracts.merge(data_contracts_dates, how='inner', on='contract_id')\n",
    "data_contracts = data_contracts.merge(data_contracts_raw, how='inner', on='contract_id')\n",
    "print(data_contracts.shape)\n",
    "print(data_contracts.columns)\n",
    "data_contracts.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "'''\n",
    "Vizualize the difference in final prices with the use of indexation formula and without it\n",
    "'''\n",
    "def delete_frame(ax):\n",
    "    ax.spines['top'].set_color('none')\n",
    "    ax.spines['bottom'].set_color('none')\n",
    "    ax.spines['left'].set_color('none')\n",
    "    ax.spines['right'].set_color('none')\n",
    "    \n",
    "fig = plt.figure(figsize=(10,7))\n",
    "ax = fig.add_subplot(111)\n",
    "ax1 = fig.add_subplot(211)\n",
    "ax2 = fig.add_subplot(212) \n",
    "\n",
    "delete_frame(ax)\n",
    "delete_frame(ax1)\n",
    "delete_frame(ax2)\n",
    "ax.tick_params(labelcolor='w', top=False, bottom=False, left=False, right=False)\n",
    "\n",
    "x = data_contracts['expenses_fact']\n",
    "minimal = x.min()\n",
    "maximal = x.max()\n",
    "y1 = data_contracts['fin_price_formula']\n",
    "y2 = data_contracts['fin_price_noformula']\n",
    "y_minimal = y1.min()-300\n",
    "y_maximal = y2.max()+300\n",
    "means = [y1.mean(),y2.mean()]\n",
    "ax1.scatter(x, y1, c = '#3fd4ad')\n",
    "ax1.plot([minimal,maximal], [means[0],means[0]], linestyle = '--', c = '#3fd4ad')\n",
    "ax1.scatter(x, y2, c = '#002f56')\n",
    "ax1.plot([minimal,maximal], [means[1],means[1]], linestyle = '--', c = '#002f56')\n",
    "ax1.set_xscale('log')\n",
    "ax1.set_ylim(y_minimal, y_maximal)\n",
    "\n",
    "x = data_contracts.loc[data_contracts['procurement_type']=='aboveThresholdEU']['expenses_fact']\n",
    "y1 = data_contracts.loc[data_contracts['procurement_type']=='aboveThresholdEU']['fin_price_formula']\n",
    "y2 = data_contracts.loc[data_contracts['procurement_type']=='aboveThresholdEU']['fin_price_noformula']\n",
    "means = [y1.mean(),y2.mean()]\n",
    "ax2.scatter(x, y1, c = '#3fd4ad')\n",
    "ax2.plot([minimal,maximal], [means[0],means[0]], linestyle = '--', c = '#3fd4ad')\n",
    "ax2.scatter(x, y2, c = '#002f56')\n",
    "ax2.plot([minimal,maximal], [means[1],means[1]], linestyle = '--', c = '#002f56')\n",
    "ax2.set_xscale('log')\n",
    "ax2.set_ylim(y_minimal, y_maximal)\n",
    "\n",
    "ax.set_xlabel('Вартість договору (грн)', labelpad = 10, fontsize = 'large')\n",
    "ax.set_ylabel('Ціна за 1000 м3 (грн)', labelpad = 25, fontsize = 'large')\n",
    "#ax.set_title('Зниження ціни при індексації за формулою', pad = 35, fontsize = 'xx-large', color = '#3fd4ad')\n",
    "ax1.set_title('всі види процедур', pad = 10, fontsize = 'x-large')\n",
    "ax2.set_title('відкриті торги із публікацією англійською мовою', pad = 10, fontsize = 'x-large')\n",
    "\n",
    "#plt.text(2000,3000,'Темно-синім кольором позначено фактично ціну газу за додатковими угодами, бірюзовим - ціну у випадку, якби відбувалася\\nіндексація за формулою. Точки - конкретні договори, лінії - середня ціна.')\n",
    "plt.tight_layout()\n",
    "#plt.savefig('prices_decrease_fin6.png', dpi = 300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "'''\n",
    "Vizualize the distribution of supply amounts\n",
    "'''\n",
    "bar_data = data_addcontr.groupby(by = 'start_date')['amount_1000m3'].sum().reset_index()\n",
    "#plt.bar(bar_data['start_date'],bar_data['amount_1000m3'])\n",
    "plt.bar(bar_data['start_date'].map(lambda x: x.strftime(format = '%Y-%m-%d')),bar_data['amount_1000m3'])\n",
    "plt.xticks(rotation='vertical')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 792x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "'''\n",
    "Vizualize the monthly price changes with the use of indexation formula and without it\n",
    "'''\n",
    "price_fact = data_addcontr.loc[data_addcontr['start_date'] < pd.to_datetime('2019-01-01')].groupby(by = 'start_date')['price'].mean().reset_index()\n",
    "price_formula = data_addcontr.loc[data_addcontr['start_date'] < pd.to_datetime('2019-01-01')].groupby(by = 'start_date')['price_formula'].mean().reset_index()\n",
    "\n",
    "addcontr_points = data_addcontr_raw[['addcontr_date','price_addcontr']].loc[data_addcontr_raw['addcontr_date']<=pd.to_datetime('2018-12-01')]\n",
    "\n",
    "x = price_formula['start_date'].values\n",
    "y1 = price_formula['price_formula']\n",
    "y2 = price_fact['price']\n",
    "\n",
    "fig = plt.figure(figsize=(11,7))\n",
    "ax = fig.add_subplot(111)\n",
    "ax.scatter(addcontr_points['addcontr_date'].values,addcontr_points['price_addcontr'],s=1,color='#666666', alpha=0.03)\n",
    "ax.plot(x,y2,color='#002f56')\n",
    "ax.fill_between(x,y1,y2,color='#002f56',alpha=0.3)\n",
    "ax.tick_params(axis = 'x', labelrotation=90)\n",
    "ax.tick_params(labelsize = 'large')\n",
    "ax.set_xticks(x)\n",
    "ax.set_xticklabels([str(label)[:7] for label in x])\n",
    "ax.set_ylabel('Середея ціна за 1000 м3 (грн)', labelpad = 5, weight = 'bold', fontsize = 'large')\n",
    "ax.set_ylim(addcontr_points['price_addcontr'].min(), 17500)\n",
    "plt.text(0.01,-0.25,'лінія - середня ціна за додугодами, замальована площа - різниця з цінами за формулою індексації, \\nкожна точка - фактична ціна за додугодою',transform=ax.transAxes)\n",
    "delete_frame(ax)\n",
    "#plt.savefig('05_viz/prices_increase_v2.png', dpi = 300, bbox_inches = 'tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:10: DeprecationWarning: `spline` is deprecated!\n",
      "spline is deprecated in scipy 0.19.0, use Bspline class instead.\n",
      "  # Remove the CWD from sys.path while we load stuff.\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 792x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "'''\n",
    "Vizualize the monthly economy with the use of indexation formula and without it\n",
    "'''\n",
    "economy = data_addcontr.loc[data_addcontr['start_date']<=pd.to_datetime('2018-12-01')].groupby(by='start_date')['potential_economy','amount_1000m3'].sum().reset_index()\n",
    "\n",
    "x = economy['start_date']\n",
    "y = economy['potential_economy']\n",
    "\n",
    "x_sm = np.asarray(x)\n",
    "y_sm = np.array(y)\n",
    "\n",
    "x_smooth = np.linspace(x.min().value, x.max().value, 200)\n",
    "y_smooth = spline([i.value for i in x], y, x_smooth)\n",
    "\n",
    "fig = plt.figure(figsize=(11,7))\n",
    "ax = fig.add_subplot(111)\n",
    "ax.fill_between(x_smooth,y_smooth,0,color='#002f56',alpha=0.5)\n",
    "ax.tick_params(axis = 'x', labelrotation =90)\n",
    "ax.set_xticks([x_smooth.min() + (x_smooth.max()-x_smooth.min())*1/(len(x)*2) + (x_smooth.max()-x_smooth.min())*i/len(x) for i in range(len(x))])\n",
    "ax.set_xticklabels([str(label)[:7] for label in x], fontsize = 'large')\n",
    "ax.set_yticklabels([int(i/1000000) for i in ax.get_yticks()], fontsize = 'large')\n",
    "ax.set_ylabel('Сума економії (млн грн)', labelpad = 5, weight = 'bold', fontsize = 'large')\n",
    "delete_frame(ax)\n",
    "\n",
    "#plt.savefig('05_viz/economy_v2.png', dpi = 300, bbox_inches = 'tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:32: DeprecationWarning: `spline` is deprecated!\n",
      "spline is deprecated in scipy 0.19.0, use Bspline class instead.\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x648 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "'''\n",
    "Two previous vizualizations in one picture (for publication in \"Вісник держзакупівель\")\n",
    "'''\n",
    "\n",
    "fig = plt.figure(figsize=(9,9))\n",
    "ax = fig.add_subplot(211)\n",
    "ax2 = fig.add_subplot(212) \n",
    "\n",
    "delete_frame(ax)\n",
    "delete_frame(ax2)\n",
    "\n",
    "x = price_formula['start_date'].values\n",
    "y1 = price_formula['price_formula']\n",
    "y2 = price_fact['price']\n",
    "\n",
    "ax.scatter(addcontr_points['addcontr_date'].values,addcontr_points['price_addcontr'],s=1,color='#666666', alpha=0.03)\n",
    "ax.plot(x,y2,color='#002f56')\n",
    "ax.fill_between(x,y1,y2,color='#002f56',alpha=0.3)\n",
    "ax.tick_params(axis = 'x', labelrotation=90)\n",
    "ax.tick_params(labelsize = 'large')\n",
    "ax.set_xticks(x)\n",
    "ax.set_xticklabels([str(label)[:7] for label in x])\n",
    "ax.set_ylabel('Середня ціна за 1000 м3 (грн)', labelpad = 5, weight = 'bold', fontsize = 'large')\n",
    "ax.set_ylim(addcontr_points['price_addcontr'].min(), 17500)\n",
    "#plt.text(0.01,-0.4,'лінія - середня ціна за додугодами, замальована площа - різниця з цінами за формулою індексації, \\nкожна точка - фактична ціна за додугодою',transform=ax.transAxes)\n",
    "\n",
    "economy = data_addcontr.groupby(by='start_date')['potential_economy','amount_1000m3'].sum().reset_index()\n",
    "\n",
    "x_2 = economy['start_date']\n",
    "y_2 = economy['potential_economy']\n",
    "\n",
    "x_sm = np.asarray(x_2)\n",
    "y_sm = np.array(y_2)\n",
    "\n",
    "x_smooth = np.linspace(x_2.min().value, x_2.max().value, 200)\n",
    "y_smooth = spline([i.value for i in x_2], y_2, x_smooth)\n",
    "\n",
    "ax2.fill_between(x_smooth,y_smooth,0,color='#002f56',alpha=0.5)\n",
    "ax2.tick_params(axis = 'x', labelrotation =90)\n",
    "ax2.set_xticks([x_smooth.min() + (x_smooth.max()-x_smooth.min())*1/(len(x_2)*2) + (x_smooth.max()-x_smooth.min())*i/len(x_2) for i in range(len(x_2))])\n",
    "ax2.set_xticklabels([str(label)[:7] for label in x_2], fontsize = 'large')\n",
    "ax2.set_yticklabels([int(t/1000000) for t in ax2.get_yticks()], fontsize = 'large')\n",
    "ax2.set_ylabel('Сума економії (млн грн)', labelpad = 30, weight = 'bold', fontsize = 'large')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.savefig('05_viz/price-economy_v1.0.png', dpi = 300, bbox_inches = 'tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "170.4792899408284\n",
      "238.22429906542055\n"
     ]
    }
   ],
   "source": [
    "'''\n",
    "Difference in final prices with the use of indexation formula and without it\n",
    "'''\n",
    "print((data_contracts['fin_price_noformula'] - data_contracts['fin_price_formula']).mean())\n",
    "data_euro = data_contracts.loc[data_contracts['procurement_type']=='aboveThresholdEU']\n",
    "print((data_euro['fin_price_noformula'] - data_euro['fin_price_formula']).mean())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.027494133895639365"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'''\n",
    "Potential economy in percent\n",
    "'''\n",
    "data_contracts['potential_economy'].sum()/data_contracts['expenses_fact'].sum()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.6.5"
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 },
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