monthly ticket and error.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import datetime as dt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "p1 = pd.read_excel(\"p1 faults.xlsx\")\n",
    "p1 = p1[\"Fault\"].tolist()\n",
    "\n",
    "ticket = pd.read_csv(\"full maintenance.csv\")\n",
    "ticket.columns = pd.Series(ticket.columns).str.strip()\n",
    "ticket = ticket[ticket[\"Activity comment\"].str.contains(\"FLM|SLM\")]\n",
    "\n",
    "data = pd.concat(pd.read_excel(\"full data.xlsx\", sheet_name=None), ignore_index=True)\n",
    "data.columns = ['ATM ID', 'MS VENDOR', 'Operation Hours', 'Fault', 'Start', 'End', 'Duration']\n",
    "data = data[data[\"Fault\"].isin(p1)]\n",
    "data = data.reset_index().iloc[:,1:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "data[\"Start\"] = pd.to_datetime(data[\"Start\"].str.strip(), format = '%m/%d/%Y %I:%M:%S %p')\n",
    "data[\"End\"] = pd.to_datetime(data[\"End\"].str.strip(), format = '%m/%d/%Y %I:%M:%S %p')\n",
    "\n",
    "ticket[\"Ticket start\"] = pd.to_datetime(ticket[\"Ticket start\"].str.strip(), format = '%d-%m-%Y %H:%M')\n",
    "ticket[\"Ticket stop\"] = pd.to_datetime(ticket[\"Ticket stop\"].str.strip(), format = '%d-%m-%Y %H:%M')\n",
    "\n",
    "data = data.sort_values(by = [\"Start\"], ignore_index = True)\n",
    "ticket = ticket.sort_values(by = [\"Ticket start\"], ignore_index = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "FLM                  86050\n",
       "SLM                  10882\n",
       "FLM Re-Dispatched     7601\n",
       "Name: Activity comment, dtype: int64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ticket[\"Activity comment\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
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       " '1RDWLUC41',\n",
       " '1CRRJBM01',\n",
       " '1FNANA60',\n",
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       " '1FNMEH42',\n",
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       " '1FNGDH09',\n",
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       " '1FDHOG12',\n",
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       " '1FNRBL39',\n",
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       " '1CRMHTH13',\n",
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       " '1FNLUC119',\n",
       " '1FNVAR61',\n",
       " '1FNALD49',\n",
       " '1FDBIK37',\n",
       " '1CRRJBK02',\n",
       " '1RDNKOL43',\n",
       " '1FNVAR76',\n",
       " '1FNKAN131',\n",
       " '1RDNVAR20',\n",
       " '1FNDAR02',\n",
       " '1FNNEA01',\n",
       " '1RDDALD02',\n",
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       " '1FNKMR12',\n",
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       " '1FNKAN116',\n",
       " '1FDBOM351',\n",
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       " '1FNGKP17',\n",
       " '1CRHKOCA05',\n",
       " '1CRGJAH28',\n",
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       " '1FDJLN03',\n",
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       " '1FNJHU07',\n",
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       " '1FNJAI83',\n",
       " '1FNBOM82',\n",
       " '1FDJAI78',\n",
       " '1FDBOM418',\n",
       " '1FNNGN02',\n",
       " '1FDBOM289',\n",
       " '1FNKAG01',\n",
       " '1FNBOM116',\n",
       " '1CRMHMU09',\n",
       " '1CRHMHMU01',\n",
       " '1FNSDR06',\n",
       " '1FDAHM173',\n",
       " '1FNANA56',\n",
       " '1RDNANA10',\n",
       " '1FNKOT21',\n",
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       " '1FNPTN06',\n",
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       " '1FDLUC113',\n",
       " '1FNFTP07',\n",
       " '1FNRBL10',\n",
       " '1FNSNP01',\n",
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       " '1FNALW14',\n",
       " '1FDJNP15',\n",
       " '1RDDMUM63',\n",
       " '1FDBOM397',\n",
       " '1FDKAN156',\n",
       " '1RDNKOL03',\n",
       " '1FNSUL20',\n",
       " '1FNPSS01',\n",
       " '1CRMHTH09',\n",
       " '1RDWJAI30',\n",
       " '1RDDAYD01',\n",
       " '1FDBOM175',\n",
       " '1CRGJAH17',\n",
       " '1CRGJAH09',\n",
       " '1CRGJAH10',\n",
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       " '1CRRJPA01',\n",
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       " '1FNHOG06',\n",
       " '1RDNKOL25',\n",
       " '1FNKOL195',\n",
       " '1CRWBKL02',\n",
       " '1FNBOM102',\n",
       " '1RDDMUM11',\n",
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       " '1CRMHMU13',\n",
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       " '1FNANA38',\n",
       " '1FDHOW03',\n",
       " '1FNCHU11',\n",
       " '1CRMHTH37',\n",
       " '1CRHKOCN06',\n",
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       " '1FDKAN162',\n",
       " '1CRWBKL07',\n",
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       " '1FNKHD05',\n",
       " '1CRGJJU02',\n",
       " '1RDNMEH07',\n",
       " '1FDBOM283',\n",
       " '1CRMHTH42',\n",
       " '1RDDAHM43',\n",
       " '1FNKHD46',\n",
       " '1FNKOL139',\n",
       " '1FDFZB37',\n",
       " '1RDNANA06',\n",
       " '1CRASKR01',\n",
       " '1FNKAN172',\n",
       " '1FNSUL06',\n",
       " '1FWMUM02',\n",
       " '1FNWTP04',\n",
       " '1CRMHMU32',\n",
       " '1CRMLWK01',\n",
       " '1FNKHD56',\n",
       " '1FNKOL110',\n",
       " '1FNKOL153',\n",
       " '1CRRJUD06',\n",
       " '1CRUPVA13',\n",
       " '1CRGJSK02',\n",
       " '1CRHRJKO03',\n",
       " '1CRGJBT01',\n",
       " '1FDKOL179',\n",
       " '1RDDMUM96',\n",
       " '1FNSUL26',\n",
       " '1FNLUC87',\n",
       " '1FNFTP49',\n",
       " '1CRHUPVA14',\n",
       " '1FDTNK20',\n",
       " '1FDABN38',\n",
       " '1FNKUT06',\n",
       " '1FDFZB40',\n",
       " '1FNMIR07',\n",
       " '1RDNKOL51',\n",
       " '1FNPSS06',\n",
       " '1FNBOM71',\n",
       " '1RDDMUM85',\n",
       " '1FNPSS04',\n",
       " '1FNPLI04',\n",
       " '1RDDKAN01',\n",
       " '1FNLUC85',\n",
       " '1RDDVAR04',\n",
       " '1FDCHT17',\n",
       " '1RDDGZP02',\n",
       " '1FNKOL140',\n",
       " '1FNKOL112',\n",
       " '1RDDMUM19',\n",
       " '1FNWTP05',\n",
       " '1FNJAI138',\n",
       " '1FDKAN148',\n",
       " '1RDNMIR03',\n",
       " '1CRWBPN03',\n",
       " '1FNPUM03',\n",
       " '1FNMRD15',\n",
       " '1CRMHMU17',\n",
       " '1RDNAHM27',\n",
       " '1FNBOM90',\n",
       " '1CRMHMU01',\n",
       " '1RDNITN01',\n",
       " '1FDDBG03',\n",
       " '1FDBOM174',\n",
       " '1RDNPLI01',\n",
       " '1RDWFZB10',\n",
       " '1FNGDH04',\n",
       " '1FDBIK23',\n",
       " '1FNSIK06',\n",
       " '1FDHOG08',\n",
       " '1RDNKOL47',\n",
       " '1FNBOM70',\n",
       " '1FDKOT11',\n",
       " '1FNALW21',\n",
       " '1FDJMG36',\n",
       " '1FDBOM343',\n",
       " '1CRMHMU66',\n",
       " '1FDNGU12',\n",
       " '1FNKSH10',\n",
       " '3CRUPLK16',\n",
       " '1FNAJM20',\n",
       " '1FNBIK18',\n",
       " '1FNKOL176',\n",
       " '1FNSDT01',\n",
       " '1FDBOM121',\n",
       " '1RDDLUC16',\n",
       " '1FNSSR01',\n",
       " '1RDNUDP06',\n",
       " '1FDGGN11',\n",
       " '1FDAZM08',\n",
       " '1RDWPTP03',\n",
       " '1FDKUT20',\n",
       " '1CRMHMU46',\n",
       " '1RDWLUC49',\n",
       " '1FNKAN44',\n",
       " '1CRHMHMU02',\n",
       " '1RDDLUC17',\n",
       " '1FNRBL31',\n",
       " '1FNAJM17',\n",
       " '1FNFTP05',\n",
       " '1RDWFZB07',\n",
       " '1FNANA33',\n",
       " '1CRMHTH43',\n",
       " '1FNMRD07',\n",
       " '1FNKOL102',\n",
       " '1FDBOM166',\n",
       " '1FNJLN01',\n",
       " '1FNDUN11',\n",
       " '1CRRJJO06',\n",
       " '1CRRJBL01',\n",
       " ...]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "atm_list = list(ticket[\"ATM ID\"].unique())\n",
    "atm_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "end = dt.datetime(2021, 1, 1, 0, 0, 0)\n",
    "full_list = []\n",
    "\n",
    "for name in atm_list:\n",
    "    s = ticket[ticket[\"ATM ID\"] == name]\n",
    "    monthly_count = []\n",
    "    month = 8\n",
    "    month_start = dt.datetime(2020, month, 1, 0, 0, 0)\n",
    "    month_end = dt.datetime(2020, (month+1), 1, 0, 0, 0)\n",
    "    while month_end <= end:\n",
    "        s1 = s[s[\"Ticket start\"] >= month_start]\n",
    "        s1 = s1[s1[\"Ticket start\"] < month_end]\n",
    "        monthly_count.append(s1.shape[0])\n",
    "        month = month + 1\n",
    "        month_start = month_end\n",
    "        if month<12:\n",
    "            month_end = dt.datetime(2020, (month+1), 1, 0, 0, 0)\n",
    "        elif month == 12:\n",
    "            month_end = dt.datetime(2021, 1, 1, 0, 0, 0)\n",
    "        else:\n",
    "            break\n",
    "  #  print(monthly_count)       \n",
    "    full_list.append(monthly_count)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[[8, 5, 0, 2, 12],\n",
       " [11, 10, 2, 0, 0],\n",
       " [7, 10, 10, 14, 13],\n",
       " [1, 5, 11, 21, 10],\n",
       " [16, 7, 2, 4, 2],\n",
       " [4, 0, 0, 0, 0],\n",
       " [9, 1, 2, 6, 3],\n",
       " [9, 8, 2, 4, 5],\n",
       " [5, 2, 4, 6, 4],\n",
       " [14, 0, 0, 0, 0],\n",
       " [7, 3, 3, 0, 1],\n",
       " [8, 7, 24, 13, 4],\n",
       " [5, 4, 0, 0, 4],\n",
       " [2, 8, 2, 4, 2],\n",
       " [9, 3, 5, 3, 8],\n",
       " [3, 0, 0, 0, 0],\n",
       " [6, 3, 8, 11, 8],\n",
       " [3, 6, 11, 13, 5],\n",
       " [18, 18, 22, 21, 13],\n",
       " [8, 4, 0, 12, 8],\n",
       " [24, 7, 7, 7, 9],\n",
       " [6, 5, 9, 16, 13],\n",
       " [8, 6, 7, 6, 7],\n",
       " [10, 10, 12, 7, 5],\n",
       " [13, 13, 11, 16, 13],\n",
       " [3, 9, 7, 5, 4],\n",
       " [10, 5, 8, 6, 6],\n",
       " [18, 11, 11, 8, 0],\n",
       " [3, 2, 6, 5, 2],\n",
       " [31, 17, 9, 7, 13],\n",
       " [6, 3, 12, 8, 4],\n",
       " [4, 4, 12, 17, 16],\n",
       " [19, 8, 3, 3, 1],\n",
       " [5, 5, 12, 6, 7],\n",
       " [12, 5, 0, 1, 3],\n",
       " [5, 12, 13, 15, 8],\n",
       " [1, 5, 2, 0, 0],\n",
       " [15, 6, 21, 16, 21],\n",
       " [12, 13, 24, 14, 7],\n",
       " [10, 4, 6, 3, 5],\n",
       " [3, 4, 3, 1, 1],\n",
       " [28, 12, 14, 6, 1],\n",
       " [5, 1, 7, 4, 1],\n",
       " [26, 6, 5, 6, 8],\n",
       " [17, 7, 13, 17, 16],\n",
       " [11, 22, 18, 11, 11],\n",
       " [6, 10, 11, 0, 0],\n",
       " [6, 1, 1, 1, 3],\n",
       " [9, 2, 3, 5, 4],\n",
       " [1, 1, 2, 0, 0],\n",
       " [3, 1, 1, 8, 2],\n",
       " [25, 26, 21, 24, 24],\n",
       " [4, 2, 0, 3, 2],\n",
       " [14, 5, 10, 22, 11],\n",
       " [8, 6, 0, 0, 0],\n",
       " [27, 3, 5, 7, 21],\n",
       " [4, 8, 9, 13, 12],\n",
       " [3, 3, 4, 0, 4],\n",
       " [8, 6, 1, 3, 10],\n",
       " [1, 5, 1, 3, 5],\n",
       " [7, 5, 1, 6, 2],\n",
       " [12, 5, 1, 1, 7],\n",
       " [5, 0, 0, 6, 2],\n",
       " [22, 20, 16, 16, 9],\n",
       " [4, 1, 1, 0, 2],\n",
       " [19, 25, 19, 29, 23],\n",
       " [10, 14, 9, 2, 2],\n",
       " [16, 20, 0, 11, 8],\n",
       " [14, 20, 16, 12, 10],\n",
       " [5, 6, 8, 17, 17],\n",
       " [10, 2, 1, 0, 1],\n",
       " [12, 19, 10, 17, 14],\n",
       " [5, 2, 2, 4, 6],\n",
       " [11, 18, 7, 7, 9],\n",
       " [8, 1, 3, 5, 2],\n",
       " [15, 4, 5, 9, 5],\n",
       " [11, 6, 8, 7, 3],\n",
       " [11, 18, 17, 13, 12],\n",
       " [15, 8, 4, 5, 20],\n",
       " [6, 4, 6, 6, 9],\n",
       " [10, 2, 3, 6, 2],\n",
       " [16, 17, 8, 2, 4],\n",
       " [5, 4, 5, 11, 4],\n",
       " [13, 5, 5, 4, 6],\n",
       " [8, 10, 19, 5, 8],\n",
       " [6, 2, 0, 1, 1],\n",
       " [7, 6, 6, 2, 4],\n",
       " [1, 12, 15, 7, 5],\n",
       " [2, 2, 2, 2, 4],\n",
       " [13, 0, 0, 0, 0],\n",
       " [3, 0, 4, 0, 2],\n",
       " [21, 7, 5, 7, 5],\n",
       " [12, 0, 0, 6, 8],\n",
       " [13, 10, 13, 8, 8],\n",
       " [3, 7, 17, 12, 5],\n",
       " [15, 15, 24, 15, 10],\n",
       " [20, 4, 9, 6, 0],\n",
       " [3, 4, 3, 6, 3],\n",
       " [20, 21, 9, 6, 2],\n",
       " [6, 6, 7, 0, 11],\n",
       " [16, 19, 8, 8, 0],\n",
       " [4, 3, 4, 1, 9],\n",
       " [6, 6, 8, 12, 18],\n",
       " [16, 19, 21, 12, 3],\n",
       " [9, 1, 2, 0, 0],\n",
       " [19, 12, 16, 21, 3],\n",
       " [7, 4, 7, 13, 17],\n",
       " [8, 12, 1, 1, 5],\n",
       " [5, 3, 3, 5, 2],\n",
       " [3, 10, 1, 5, 4],\n",
       " [33, 10, 3, 0, 4],\n",
       " [10, 4, 15, 10, 8],\n",
       " [9, 0, 5, 4, 6],\n",
       " [5, 2, 1, 2, 1],\n",
       " [3, 9, 5, 3, 4],\n",
       " [23, 16, 8, 20, 21],\n",
       " [19, 3, 5, 8, 13],\n",
       " [6, 9, 0, 1, 3],\n",
       " [28, 19, 5, 13, 4],\n",
       " [3, 8, 7, 5, 4],\n",
       " [6, 12, 15, 10, 6],\n",
       " [14, 1, 7, 6, 9],\n",
       " [9, 6, 5, 4, 19],\n",
       " [5, 3, 2, 2, 5],\n",
       " [6, 6, 3, 5, 10],\n",
       " [12, 17, 11, 8, 33],\n",
       " [1, 1, 7, 2, 5],\n",
       " [11, 6, 0, 10, 11],\n",
       " [7, 13, 13, 5, 4],\n",
       " [25, 8, 14, 8, 4],\n",
       " [15, 17, 3, 7, 8],\n",
       " [9, 6, 5, 10, 6],\n",
       " [15, 6, 0, 0, 0],\n",
       " [7, 5, 5, 10, 2],\n",
       " [3, 17, 5, 0, 2],\n",
       " [6, 5, 3, 4, 2],\n",
       " [19, 16, 7, 12, 23],\n",
       " [4, 8, 9, 8, 2],\n",
       " [22, 3, 1, 3, 6],\n",
       " [13, 10, 6, 11, 38],\n",
       " [6, 4, 6, 8, 5],\n",
       " [12, 25, 4, 6, 7],\n",
       " [7, 2, 4, 1, 3],\n",
       " [8, 2, 3, 1, 7],\n",
       " [14, 13, 1, 3, 15],\n",
       " [8, 0, 0, 0, 0],\n",
       " [6, 3, 2, 2, 4],\n",
       " [7, 11, 12, 11, 3],\n",
       " [8, 25, 3, 9, 2],\n",
       " [4, 11, 7, 6, 4],\n",
       " [14, 15, 11, 9, 8],\n",
       " [2, 6, 2, 2, 6],\n",
       " [4, 6, 9, 6, 3],\n",
       " [4, 0, 2, 2, 3],\n",
       " [4, 6, 3, 6, 2],\n",
       " [4, 1, 7, 2, 0],\n",
       " [8, 0, 4, 3, 2],\n",
       " [14, 9, 7, 7, 1],\n",
       " [4, 5, 1, 3, 11],\n",
       " [12, 9, 9, 4, 4],\n",
       " [1, 0, 4, 5, 2],\n",
       " [2, 1, 7, 2, 4],\n",
       " [4, 6, 8, 7, 6],\n",
       " [8, 9, 9, 16, 10],\n",
       " [5, 12, 6, 6, 3],\n",
       " [13, 10, 15, 23, 23],\n",
       " [11, 10, 8, 7, 6],\n",
       " [8, 6, 3, 6, 7],\n",
       " [1, 2, 8, 7, 4],\n",
       " [4, 5, 10, 7, 5],\n",
       " [23, 4, 4, 22, 31],\n",
       " [28, 35, 37, 32, 32],\n",
       " [19, 13, 10, 10, 8],\n",
       " [8, 10, 3, 5, 2],\n",
       " [4, 10, 1, 5, 5],\n",
       " [12, 4, 2, 7, 12],\n",
       " [6, 9, 12, 13, 8],\n",
       " [7, 4, 6, 9, 11],\n",
       " [7, 7, 4, 7, 11],\n",
       " [10, 7, 12, 10, 10],\n",
       " [5, 6, 8, 13, 7],\n",
       " [21, 14, 19, 24, 9],\n",
       " [17, 10, 10, 6, 19],\n",
       " [7, 5, 7, 6, 0],\n",
       " [8, 13, 11, 22, 12],\n",
       " [11, 10, 7, 8, 7],\n",
       " [6, 3, 2, 8, 10],\n",
       " [6, 4, 6, 4, 4],\n",
       " [23, 22, 5, 9, 36],\n",
       " [6, 5, 7, 9, 7],\n",
       " [10, 15, 5, 4, 5],\n",
       " [26, 8, 10, 6, 11],\n",
       " [24, 7, 13, 13, 15],\n",
       " [10, 4, 5, 1, 2],\n",
       " [21, 11, 18, 7, 12],\n",
       " [8, 6, 2, 5, 5],\n",
       " [2, 8, 7, 0, 0],\n",
       " [8, 10, 5, 8, 2],\n",
       " [2, 2, 0, 0, 5],\n",
       " [11, 7, 18, 15, 9],\n",
       " [4, 5, 14, 12, 5],\n",
       " [10, 5, 1, 10, 6],\n",
       " [4, 2, 3, 0, 3],\n",
       " [18, 15, 18, 15, 19],\n",
       " [4, 15, 8, 5, 2],\n",
       " [12, 11, 12, 1, 2],\n",
       " [7, 7, 3, 6, 9],\n",
       " [4, 2, 4, 0, 5],\n",
       " [2, 1, 5, 4, 3],\n",
       " [13, 7, 6, 6, 6],\n",
       " [22, 19, 18, 2, 6],\n",
       " [2, 2, 3, 0, 1],\n",
       " [15, 16, 11, 16, 11],\n",
       " [10, 5, 7, 4, 7],\n",
       " [5, 5, 4, 2, 8],\n",
       " [5, 9, 9, 7, 4],\n",
       " [12, 1, 2, 0, 2],\n",
       " [12, 10, 15, 2, 5],\n",
       " [2, 5, 3, 5, 6],\n",
       " [9, 6, 2, 8, 2],\n",
       " [20, 6, 5, 8, 20],\n",
       " [15, 13, 11, 6, 5],\n",
       " [14, 17, 10, 12, 16],\n",
       " [17, 17, 16, 28, 16],\n",
       " [18, 15, 11, 7, 9],\n",
       " [4, 4, 10, 4, 7],\n",
       " [2, 4, 10, 6, 7],\n",
       " [2, 3, 0, 7, 5],\n",
       " [5, 2, 3, 6, 3],\n",
       " [12, 1, 8, 8, 13],\n",
       " [6, 10, 4, 7, 1],\n",
       " [4, 8, 5, 11, 12],\n",
       " [7, 9, 2, 2, 2],\n",
       " [11, 8, 6, 3, 5],\n",
       " [14, 2, 2, 6, 4],\n",
       " [10, 4, 1, 6, 9],\n",
       " [9, 14, 19, 12, 13],\n",
       " [3, 2, 2, 4, 7],\n",
       " [3, 2, 0, 0, 0],\n",
       " [22, 13, 10, 8, 14],\n",
       " [14, 3, 7, 3, 9],\n",
       " [13, 6, 7, 4, 3],\n",
       " [6, 10, 0, 0, 0],\n",
       " [8, 0, 0, 0, 0],\n",
       " [5, 2, 2, 1, 2],\n",
       " [7, 1, 2, 3, 2],\n",
       " [8, 0, 5, 21, 8],\n",
       " [8, 1, 14, 15, 19],\n",
       " [4, 2, 1, 0, 7],\n",
       " [4, 5, 2, 8, 5],\n",
       " [16, 8, 13, 3, 5],\n",
       " [14, 15, 20, 8, 8],\n",
       " [9, 3, 8, 8, 8],\n",
       " [14, 3, 5, 4, 4],\n",
       " [3, 3, 7, 3, 4],\n",
       " [9, 1, 3, 4, 13],\n",
       " [5, 17, 2, 0, 2],\n",
       " [8, 2, 0, 2, 3],\n",
       " [5, 6, 11, 7, 7],\n",
       " [6, 3, 0, 5, 1],\n",
       " [9, 1, 1, 3, 1],\n",
       " [3, 0, 2, 3, 10],\n",
       " [6, 1, 5, 8, 3],\n",
       " [8, 3, 9, 2, 3],\n",
       " [24, 18, 24, 5, 28],\n",
       " [3, 0, 2, 0, 0],\n",
       " [8, 7, 11, 4, 0],\n",
       " [7, 9, 13, 3, 3],\n",
       " [6, 16, 4, 0, 7],\n",
       " [6, 6, 5, 5, 14],\n",
       " [14, 15, 14, 15, 27],\n",
       " [9, 5, 5, 1, 2],\n",
       " [4, 1, 5, 8, 4],\n",
       " [17, 7, 7, 16, 1],\n",
       " [4, 1, 5, 1, 3],\n",
       " [5, 5, 12, 8, 3],\n",
       " [1, 1, 1, 1, 1],\n",
       " [16, 30, 9, 1, 8],\n",
       " [24, 19, 23, 20, 12],\n",
       " [20, 8, 7, 11, 10],\n",
       " [7, 4, 4, 1, 10],\n",
       " [5, 11, 2, 5, 4],\n",
       " [9, 8, 9, 7, 3],\n",
       " [3, 3, 6, 9, 5],\n",
       " [1, 1, 4, 2, 16],\n",
       " [2, 0, 0, 0, 0],\n",
       " [1, 14, 11, 5, 12],\n",
       " [13, 2, 2, 5, 4],\n",
       " [8, 1, 3, 0, 0],\n",
       " [21, 21, 11, 11, 12],\n",
       " [9, 0, 1, 3, 2],\n",
       " [25, 11, 0, 8, 11],\n",
       " [10, 7, 10, 3, 8],\n",
       " [18, 7, 4, 8, 10],\n",
       " [9, 6, 11, 9, 13],\n",
       " [7, 1, 0, 0, 0],\n",
       " [20, 5, 2, 5, 7],\n",
       " [10, 5, 3, 8, 2],\n",
       " [27, 36, 41, 13, 8],\n",
       " [25, 23, 14, 22, 15],\n",
       " [3, 2, 8, 4, 4],\n",
       " [31, 20, 42, 26, 64],\n",
       " [7, 0, 0, 0, 0],\n",
       " [12, 17, 25, 4, 3],\n",
       " [8, 0, 6, 17, 10],\n",
       " [11, 22, 13, 10, 9],\n",
       " [11, 13, 10, 11, 25],\n",
       " [12, 4, 1, 6, 9],\n",
       " [14, 4, 13, 4, 2],\n",
       " [9, 20, 11, 5, 14],\n",
       " [3, 8, 8, 3, 11],\n",
       " [9, 6, 16, 11, 4],\n",
       " [13, 0, 0, 0, 0],\n",
       " [10, 13, 5, 7, 0],\n",
       " [13, 1, 2, 2, 11],\n",
       " [12, 12, 4, 12, 16],\n",
       " [5, 2, 16, 9, 3],\n",
       " [11, 9, 10, 11, 8],\n",
       " [2, 5, 17, 6, 0],\n",
       " [3, 3, 5, 1, 1],\n",
       " [3, 3, 0, 12, 21],\n",
       " [18, 5, 5, 5, 0],\n",
       " [29, 8, 2, 4, 4],\n",
       " [2, 6, 10, 2, 1],\n",
       " [11, 2, 4, 1, 2],\n",
       " [9, 4, 3, 2, 2],\n",
       " [2, 0, 3, 5, 0],\n",
       " [3, 15, 8, 5, 8],\n",
       " [3, 2, 1, 1, 3],\n",
       " [14, 2, 10, 13, 7],\n",
       " [16, 15, 8, 11, 9],\n",
       " [8, 7, 7, 4, 0],\n",
       " [10, 18, 16, 6, 10],\n",
       " [5, 1, 7, 6, 3],\n",
       " [5, 4, 4, 7, 9],\n",
       " [6, 5, 16, 8, 9],\n",
       " [4, 6, 6, 7, 6],\n",
       " [18, 9, 12, 8, 1],\n",
       " [8, 3, 10, 6, 6],\n",
       " [21, 18, 0, 6, 19],\n",
       " [22, 15, 22, 10, 14],\n",
       " [14, 19, 18, 10, 9],\n",
       " [4, 8, 4, 9, 0],\n",
       " [8, 5, 8, 4, 4],\n",
       " [12, 2, 3, 7, 0],\n",
       " [11, 1, 1, 3, 1],\n",
       " [8, 12, 10, 11, 19],\n",
       " [8, 8, 3, 2, 1],\n",
       " [7, 4, 3, 2, 0],\n",
       " [10, 20, 17, 17, 10],\n",
       " [13, 13, 21, 29, 28],\n",
       " [18, 12, 21, 9, 15],\n",
       " [2, 0, 3, 1, 4],\n",
       " [10, 11, 7, 0, 0],\n",
       " [3, 0, 1, 2, 2],\n",
       " [15, 0, 7, 2, 9],\n",
       " [6, 0, 4, 3, 6],\n",
       " [5, 1, 3, 0, 1],\n",
       " [15, 7, 20, 11, 22],\n",
       " [12, 1, 1, 0, 1],\n",
       " [4, 2, 7, 14, 9],\n",
       " [12, 2, 19, 9, 15],\n",
       " [3, 0, 0, 0, 0],\n",
       " [2, 4, 3, 0, 4],\n",
       " [20, 18, 21, 21, 51],\n",
       " [3, 2, 4, 3, 2],\n",
       " [11, 2, 5, 1, 7],\n",
       " [8, 13, 15, 9, 6],\n",
       " [3, 2, 4, 4, 13],\n",
       " [12, 23, 14, 14, 6],\n",
       " [7, 34, 12, 15, 14],\n",
       " [9, 15, 12, 9, 13],\n",
       " [2, 0, 2, 0, 0],\n",
       " [7, 5, 6, 8, 2],\n",
       " [1, 2, 0, 2, 3],\n",
       " [30, 23, 8, 3, 65],\n",
       " [9, 14, 17, 25, 20],\n",
       " [3, 2, 10, 4, 11],\n",
       " [14, 14, 17, 16, 3],\n",
       " [8, 3, 5, 5, 1],\n",
       " [6, 7, 3, 5, 7],\n",
       " [13, 0, 0, 0, 0],\n",
       " [8, 3, 9, 7, 9],\n",
       " [7, 11, 21, 22, 15],\n",
       " [20, 13, 15, 7, 7],\n",
       " [2, 3, 5, 2, 15],\n",
       " [14, 9, 16, 7, 1],\n",
       " [6, 8, 8, 5, 0],\n",
       " [2, 4, 4, 3, 0],\n",
       " [1, 4, 6, 6, 9],\n",
       " [5, 7, 2, 1, 2],\n",
       " [7, 3, 1, 4, 6],\n",
       " [12, 5, 23, 20, 3],\n",
       " [12, 15, 17, 7, 16],\n",
       " [26, 18, 20, 18, 24],\n",
       " [4, 1, 1, 1, 1],\n",
       " [5, 4, 4, 6, 9],\n",
       " [7, 9, 7, 19, 9],\n",
       " [7, 1, 1, 0, 0],\n",
       " [5, 17, 16, 14, 18],\n",
       " [7, 4, 3, 2, 5],\n",
       " [8, 3, 2, 17, 1],\n",
       " [6, 6, 9, 4, 8],\n",
       " [6, 12, 3, 11, 4],\n",
       " [19, 12, 29, 17, 18],\n",
       " [6, 7, 12, 15, 18],\n",
       " [17, 30, 18, 17, 3],\n",
       " [11, 15, 16, 7, 3],\n",
       " [22, 11, 0, 0, 0],\n",
       " [5, 12, 6, 2, 5],\n",
       " [2, 10, 12, 13, 25],\n",
       " [5, 7, 6, 3, 3],\n",
       " [6, 1, 6, 8, 1],\n",
       " [6, 0, 5, 4, 3],\n",
       " [8, 0, 3, 2, 5],\n",
       " [2, 1, 7, 0, 0],\n",
       " [7, 4, 9, 12, 9],\n",
       " [7, 2, 2, 4, 12],\n",
       " [4, 0, 1, 6, 3],\n",
       " [9, 16, 7, 5, 7],\n",
       " [24, 30, 25, 29, 18],\n",
       " [6, 2, 0, 0, 0],\n",
       " [8, 8, 2, 18, 9],\n",
       " [12, 8, 7, 4, 19],\n",
       " [15, 13, 0, 0, 0],\n",
       " [2, 0, 1, 1, 0],\n",
       " [13, 19, 7, 4, 18],\n",
       " [13, 17, 4, 11, 14],\n",
       " [8, 3, 1, 5, 2],\n",
       " [4, 1, 0, 4, 0],\n",
       " [6, 2, 7, 2, 0],\n",
       " [5, 12, 2, 3, 8],\n",
       " [15, 4, 4, 9, 7],\n",
       " [6, 8, 1, 2, 11],\n",
       " [5, 2, 8, 14, 9],\n",
       " [9, 11, 1, 4, 4],\n",
       " [12, 9, 4, 6, 13],\n",
       " [20, 18, 32, 27, 30],\n",
       " [3, 0, 3, 5, 2],\n",
       " [12, 4, 8, 10, 12],\n",
       " [4, 3, 13, 6, 8],\n",
       " [25, 12, 11, 14, 28],\n",
       " [1, 5, 10, 2, 2],\n",
       " [2, 7, 7, 4, 10],\n",
       " [3, 3, 4, 0, 0],\n",
       " [7, 9, 0, 0, 9],\n",
       " [6, 1, 4, 2, 4],\n",
       " [12, 7, 3, 6, 5],\n",
       " [10, 0, 0, 0, 0],\n",
       " [16, 8, 10, 7, 1],\n",
       " [22, 14, 10, 6, 25],\n",
       " [5, 6, 4, 3, 8],\n",
       " [8, 6, 3, 15, 5],\n",
       " [3, 7, 3, 2, 6],\n",
       " [19, 1, 1, 6, 7],\n",
       " [19, 7, 4, 7, 3],\n",
       " [4, 5, 15, 2, 7],\n",
       " [3, 11, 5, 6, 15],\n",
       " [1, 2, 1, 1, 5],\n",
       " [8, 4, 6, 2, 4],\n",
       " [2, 4, 3, 0, 2],\n",
       " [7, 0, 3, 0, 3],\n",
       " [7, 9, 3, 1, 11],\n",
       " [10, 4, 11, 12, 14],\n",
       " [4, 3, 1, 4, 0],\n",
       " [2, 7, 3, 3, 0],\n",
       " [13, 3, 2, 3, 2],\n",
       " [10, 11, 12, 6, 14],\n",
       " [20, 2, 1, 3, 1],\n",
       " [15, 7, 9, 22, 3],\n",
       " [2, 1, 6, 6, 7],\n",
       " [4, 1, 0, 3, 0],\n",
       " [8, 3, 5, 4, 7],\n",
       " [19, 14, 15, 17, 55],\n",
       " [13, 9, 0, 3, 4],\n",
       " [9, 9, 6, 3, 7],\n",
       " [7, 5, 2, 1, 4],\n",
       " [5, 0, 0, 0, 0],\n",
       " [12, 11, 18, 15, 18],\n",
       " [4, 2, 9, 5, 6],\n",
       " [17, 19, 12, 9, 3],\n",
       " [8, 13, 15, 32, 12],\n",
       " [17, 10, 11, 6, 3],\n",
       " [15, 0, 0, 0, 0],\n",
       " [22, 23, 25, 16, 17],\n",
       " [15, 8, 9, 14, 7],\n",
       " [23, 22, 29, 18, 10],\n",
       " [5, 4, 2, 4, 3],\n",
       " [3, 10, 7, 4, 0],\n",
       " [7, 3, 5, 2, 5],\n",
       " [5, 1, 3, 1, 4],\n",
       " [4, 7, 5, 12, 6],\n",
       " [18, 5, 5, 10, 21],\n",
       " [9, 4, 2, 3, 7],\n",
       " [5, 2, 2, 3, 3],\n",
       " [9, 2, 2, 1, 2],\n",
       " [11, 12, 20, 5, 10],\n",
       " [13, 18, 16, 4, 0],\n",
       " [7, 5, 1, 1, 0],\n",
       " [2, 7, 1, 3, 6],\n",
       " [12, 18, 18, 15, 9],\n",
       " [11, 1, 8, 1, 1],\n",
       " [1, 8, 0, 3, 4],\n",
       " [18, 4, 0, 8, 3],\n",
       " [7, 7, 3, 6, 3],\n",
       " [21, 16, 27, 25, 16],\n",
       " [13, 12, 10, 2, 5],\n",
       " [5, 4, 4, 0, 3],\n",
       " [26, 7, 0, 0, 0],\n",
       " [15, 11, 17, 16, 18],\n",
       " [8, 15, 3, 6, 3],\n",
       " [4, 2, 6, 4, 5],\n",
       " [18, 20, 24, 25, 16],\n",
       " [10, 12, 11, 12, 11],\n",
       " [8, 22, 0, 7, 4],\n",
       " [4, 5, 2, 5, 6],\n",
       " [11, 6, 5, 4, 8],\n",
       " [4, 9, 9, 12, 15],\n",
       " [2, 1, 3, 3, 7],\n",
       " [8, 7, 5, 4, 7],\n",
       " [10, 6, 18, 7, 1],\n",
       " [8, 0, 3, 10, 5],\n",
       " [11, 2, 7, 7, 20],\n",
       " [28, 23, 31, 44, 19],\n",
       " [19, 9, 10, 5, 20],\n",
       " [3, 3, 5, 6, 2],\n",
       " [10, 18, 30, 40, 16],\n",
       " [17, 25, 10, 10, 18],\n",
       " [5, 0, 4, 3, 3],\n",
       " [12, 12, 14, 10, 9],\n",
       " [13, 5, 10, 2, 1],\n",
       " [13, 0, 0, 0, 0],\n",
       " [10, 12, 8, 5, 5],\n",
       " [2, 4, 5, 4, 9],\n",
       " [17, 17, 13, 9, 2],\n",
       " [6, 19, 8, 9, 9],\n",
       " [6, 12, 12, 18, 22],\n",
       " [9, 12, 8, 8, 16],\n",
       " [8, 8, 12, 12, 9],\n",
       " [2, 4, 2, 2, 3],\n",
       " [23, 14, 10, 7, 10],\n",
       " [8, 3, 3, 3, 2],\n",
       " [5, 3, 1, 4, 0],\n",
       " [10, 6, 10, 9, 3],\n",
       " [1, 8, 3, 1, 6],\n",
       " [10, 5, 2, 0, 2],\n",
       " [17, 17, 21, 24, 19],\n",
       " [18, 7, 8, 8, 10],\n",
       " [4, 0, 0, 3, 1],\n",
       " [1, 2, 1, 3, 11],\n",
       " [5, 2, 2, 2, 2],\n",
       " [16, 13, 13, 19, 19],\n",
       " [9, 11, 1, 3, 10],\n",
       " [6, 8, 7, 7, 6],\n",
       " [10, 7, 0, 14, 12],\n",
       " [6, 1, 0, 7, 3],\n",
       " [5, 3, 0, 5, 3],\n",
       " [3, 6, 4, 4, 0],\n",
       " [12, 6, 2, 8, 1],\n",
       " [3, 8, 2, 3, 3],\n",
       " [11, 2, 6, 2, 6],\n",
       " [6, 5, 5, 1, 5],\n",
       " [6, 7, 4, 3, 0],\n",
       " [10, 3, 1, 5, 2],\n",
       " [14, 18, 13, 15, 10],\n",
       " [6, 0, 0, 13, 5],\n",
       " [6, 2, 4, 2, 2],\n",
       " [5, 3, 0, 3, 4],\n",
       " [17, 13, 6, 18, 22],\n",
       " [2, 2, 0, 1, 9],\n",
       " [10, 4, 1, 6, 2],\n",
       " [13, 8, 17, 7, 5],\n",
       " [6, 12, 10, 11, 4],\n",
       " [22, 0, 0, 0, 0],\n",
       " [9, 8, 6, 6, 5],\n",
       " [4, 6, 1, 4, 0],\n",
       " [9, 3, 6, 9, 9],\n",
       " [4, 9, 4, 3, 1],\n",
       " [3, 2, 1, 0, 0],\n",
       " [5, 4, 4, 2, 4],\n",
       " [7, 7, 3, 3, 0],\n",
       " [2, 3, 4, 2, 2],\n",
       " [11, 8, 0, 0, 0],\n",
       " [11, 2, 3, 0, 2],\n",
       " [7, 2, 0, 5, 7],\n",
       " [9, 5, 5, 4, 13],\n",
       " [14, 11, 10, 16, 24],\n",
       " [4, 10, 7, 7, 8],\n",
       " [3, 1, 2, 9, 7],\n",
       " [12, 10, 6, 1, 10],\n",
       " [8, 2, 5, 6, 10],\n",
       " [4, 4, 5, 6, 8],\n",
       " [10, 5, 5, 10, 14],\n",
       " [5, 2, 2, 1, 2],\n",
       " [2, 1, 2, 3, 1],\n",
       " [9, 10, 4, 4, 4],\n",
       " [6, 5, 5, 3, 2],\n",
       " [5, 8, 5, 2, 0],\n",
       " [4, 3, 6, 2, 1],\n",
       " [5, 1, 0, 0, 2],\n",
       " [11, 8, 9, 3, 10],\n",
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       " [8, 17, 12, 0, 2],\n",
       " [6, 6, 19, 17, 7],\n",
       " [13, 19, 10, 1, 4],\n",
       " [8, 1, 11, 15, 21],\n",
       " [14, 3, 1, 2, 9],\n",
       " [13, 1, 14, 8, 6],\n",
       " [8, 2, 2, 2, 3],\n",
       " [13, 10, 9, 8, 17],\n",
       " [13, 5, 3, 4, 3],\n",
       " [11, 6, 1, 6, 7],\n",
       " [4, 4, 5, 10, 8],\n",
       " [6, 0, 1, 4, 1],\n",
       " [2, 7, 0, 2, 4],\n",
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       " [2, 4, 11, 8, 3],\n",
       " [5, 7, 1, 0, 0],\n",
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       " [9, 4, 3, 4, 3],\n",
       " [6, 5, 6, 2, 5],\n",
       " [7, 1, 1, 3, 1],\n",
       " [10, 1, 4, 3, 13],\n",
       " [11, 3, 4, 0, 0],\n",
       " [9, 6, 3, 9, 8],\n",
       " [12, 9, 1, 7, 5],\n",
       " [8, 3, 6, 9, 12],\n",
       " [2, 1, 4, 6, 4],\n",
       " [3, 3, 6, 16, 8],\n",
       " [10, 0, 0, 0, 0],\n",
       " [4, 6, 2, 9, 2],\n",
       " [4, 3, 0, 1, 2],\n",
       " [6, 1, 1, 0, 0],\n",
       " [23, 6, 7, 5, 6],\n",
       " [5, 4, 4, 9, 6],\n",
       " [10, 27, 1, 7, 5],\n",
       " [11, 7, 13, 16, 21],\n",
       " [3, 0, 1, 4, 9],\n",
       " [7, 14, 13, 11, 4],\n",
       " [11, 6, 17, 5, 16],\n",
       " [4, 8, 4, 12, 5],\n",
       " [11, 18, 18, 10, 10],\n",
       " [23, 27, 35, 12, 13],\n",
       " [12, 9, 10, 12, 14],\n",
       " [5, 15, 24, 27, 26],\n",
       " [2, 3, 3, 8, 8],\n",
       " [9, 10, 8, 8, 4],\n",
       " [4, 2, 1, 0, 8],\n",
       " [9, 7, 16, 15, 12],\n",
       " [9, 5, 4, 6, 6],\n",
       " [1, 4, 2, 3, 1],\n",
       " [4, 3, 3, 0, 1],\n",
       " [2, 4, 2, 3, 14],\n",
       " [7, 4, 1, 4, 5],\n",
       " [8, 3, 1, 3, 0],\n",
       " [11, 12, 17, 17, 11],\n",
       " [12, 8, 6, 0, 0],\n",
       " [3, 1, 3, 0, 4],\n",
       " [15, 11, 6, 11, 16],\n",
       " [5, 11, 5, 8, 4],\n",
       " [14, 10, 8, 8, 10],\n",
       " [14, 7, 9, 5, 13],\n",
       " [3, 0, 0, 0, 0],\n",
       " [10, 10, 24, 7, 11],\n",
       " [4, 10, 2, 4, 11],\n",
       " [14, 3, 4, 4, 7],\n",
       " [9, 5, 4, 6, 2],\n",
       " [12, 12, 4, 7, 2],\n",
       " [5, 11, 6, 4, 3],\n",
       " [6, 2, 9, 12, 13],\n",
       " [5, 6, 6, 13, 7],\n",
       " [11, 13, 4, 5, 2],\n",
       " [10, 4, 6, 8, 6],\n",
       " [6, 8, 4, 9, 1],\n",
       " [2, 6, 5, 7, 6],\n",
       " [7, 5, 2, 0, 11],\n",
       " [2, 2, 0, 1, 3],\n",
       " [7, 1, 6, 6, 2],\n",
       " [3, 6, 4, 10, 5],\n",
       " [16, 2, 1, 10, 12],\n",
       " [1, 0, 0, 0, 0],\n",
       " [8, 0, 0, 0, 0],\n",
       " [3, 5, 2, 6, 1],\n",
       " [16, 17, 16, 10, 17],\n",
       " [5, 5, 4, 1, 4],\n",
       " [5, 7, 2, 2, 4],\n",
       " [4, 12, 5, 4, 5],\n",
       " [5, 3, 5, 3, 1],\n",
       " [3, 4, 2, 0, 0],\n",
       " [4, 9, 8, 0, 0],\n",
       " [7, 3, 9, 4, 5],\n",
       " [4, 3, 3, 2, 2],\n",
       " [10, 7, 8, 5, 8],\n",
       " [4, 0, 0, 2, 2],\n",
       " [4, 0, 6, 2, 4],\n",
       " [8, 8, 3, 3, 7],\n",
       " [7, 10, 8, 3, 10],\n",
       " [7, 11, 14, 8, 9],\n",
       " [6, 0, 0, 11, 1],\n",
       " [18, 6, 3, 11, 2],\n",
       " [19, 17, 12, 22, 13],\n",
       " [3, 7, 10, 0, 2],\n",
       " [14, 3, 10, 8, 6],\n",
       " [18, 15, 8, 8, 5],\n",
       " [17, 12, 11, 15, 13],\n",
       " [11, 4, 1, 4, 0],\n",
       " [18, 19, 0, 2, 0],\n",
       " [1, 2, 9, 1, 3],\n",
       " [8, 8, 14, 11, 4],\n",
       " [5, 8, 12, 0, 0],\n",
       " [6, 7, 1, 2, 5],\n",
       " [3, 1, 3, 2, 2],\n",
       " [3, 9, 9, 4, 5],\n",
       " [13, 11, 12, 15, 18],\n",
       " [10, 10, 3, 6, 3],\n",
       " [3, 4, 1, 1, 0],\n",
       " [2, 4, 6, 10, 1],\n",
       " [2, 4, 4, 3, 2],\n",
       " [9, 5, 20, 9, 20],\n",
       " [4, 8, 2, 6, 2],\n",
       " [8, 2, 6, 10, 5],\n",
       " [12, 7, 8, 4, 2],\n",
       " [16, 7, 0, 12, 11],\n",
       " [1, 1, 2, 4, 5],\n",
       " [6, 10, 2, 3, 5],\n",
       " [5, 0, 0, 0, 0],\n",
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       " [14, 6, 13, 14, 6],\n",
       " [7, 6, 9, 3, 0],\n",
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       " [20, 10, 12, 16, 13],\n",
       " [10, 0, 0, 0, 0],\n",
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       " [1, 1, 0, 0, 3],\n",
       " [8, 17, 5, 8, 4],\n",
       " [6, 6, 9, 6, 9],\n",
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       " [2, 0, 0, 1, 4],\n",
       " [2, 1, 2, 0, 1],\n",
       " [11, 7, 17, 16, 18],\n",
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       " [5, 1, 1, 0, 2],\n",
       " [11, 14, 9, 14, 10],\n",
       " [4, 8, 14, 8, 5],\n",
       " [5, 0, 0, 0, 0],\n",
       " [5, 4, 4, 10, 14],\n",
       " [12, 4, 8, 2, 2],\n",
       " [17, 0, 12, 2, 52],\n",
       " [12, 3, 8, 7, 6],\n",
       " [16, 1, 0, 0, 8],\n",
       " [11, 4, 5, 6, 5],\n",
       " [13, 15, 24, 13, 18],\n",
       " [7, 0, 3, 8, 0],\n",
       " [6, 4, 1, 9, 1],\n",
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       " [2, 0, 0, 0, 0],\n",
       " [18, 15, 5, 7, 12],\n",
       " [12, 8, 3, 7, 4],\n",
       " [2, 7, 8, 2, 0],\n",
       " [5, 5, 4, 1, 4],\n",
       " [6, 2, 4, 0, 7],\n",
       " [16, 19, 14, 18, 12],\n",
       " [1, 17, 6, 3, 5],\n",
       " [17, 20, 19, 15, 8],\n",
       " [6, 2, 2, 0, 0],\n",
       " [2, 4, 0, 0, 3],\n",
       " [8, 14, 3, 0, 3],\n",
       " [4, 0, 10, 5, 3],\n",
       " [7, 0, 4, 4, 1],\n",
       " [9, 3, 2, 3, 10],\n",
       " [3, 1, 3, 2, 0],\n",
       " [18, 5, 6, 12, 8],\n",
       " [7, 2, 1, 4, 3],\n",
       " [6, 2, 0, 0, 0],\n",
       " [7, 9, 3, 13, 13],\n",
       " [2, 0, 0, 0, 2],\n",
       " [8, 2, 7, 6, 4],\n",
       " [6, 5, 5, 7, 2],\n",
       " [10, 8, 19, 5, 10],\n",
       " [5, 1, 7, 5, 6],\n",
       " [4, 6, 6, 0, 0],\n",
       " [7, 12, 15, 11, 19],\n",
       " [8, 1, 4, 1, 1],\n",
       " [6, 1, 4, 6, 13],\n",
       " [10, 7, 9, 4, 1],\n",
       " [6, 5, 7, 11, 5],\n",
       " [1, 0, 3, 1, 3],\n",
       " [2, 8, 0, 0, 1],\n",
       " [6, 2, 1, 9, 3],\n",
       " [19, 1, 0, 6, 8],\n",
       " [2, 1, 1, 0, 0],\n",
       " [12, 7, 9, 1, 2],\n",
       " [1, 0, 4, 3, 1],\n",
       " [4, 15, 0, 5, 7],\n",
       " [15, 16, 0, 0, 10],\n",
       " [10, 1, 2, 0, 1],\n",
       " [7, 8, 9, 14, 14],\n",
       " [9, 5, 5, 5, 3],\n",
       " [6, 1, 4, 5, 0],\n",
       " [7, 0, 0, 0, 0],\n",
       " [2, 0, 2, 0, 1],\n",
       " [8, 12, 8, 11, 16],\n",
       " [2, 2, 5, 4, 4],\n",
       " [5, 2, 5, 7, 1],\n",
       " [9, 15, 13, 13, 16],\n",
       " [3, 7, 4, 1, 0],\n",
       " [5, 10, 3, 6, 6],\n",
       " [10, 9, 3, 5, 6],\n",
       " [3, 3, 1, 2, 6],\n",
       " [10, 3, 4, 2, 0],\n",
       " [12, 0, 1, 7, 5],\n",
       " [3, 2, 3, 0, 0],\n",
       " [7, 7, 10, 2, 5],\n",
       " [3, 10, 10, 2, 0],\n",
       " [5, 3, 1, 3, 2],\n",
       " [3, 0, 0, 5, 7],\n",
       " [2, 2, 0, 1, 1],\n",
       " [4, 0, 3, 2, 5],\n",
       " [4, 4, 8, 6, 6],\n",
       " [4, 3, 6, 1, 9],\n",
       " [5, 2, 7, 4, 0],\n",
       " [10, 22, 4, 2, 9],\n",
       " [7, 6, 5, 9, 5],\n",
       " [9, 8, 5, 0, 2],\n",
       " [14, 3, 5, 0, 9],\n",
       " [9, 9, 12, 7, 2],\n",
       " [6, 1, 1, 2, 1],\n",
       " [8, 2, 6, 10, 6],\n",
       " [6, 17, 16, 9, 13],\n",
       " [3, 2, 1, 2, 0],\n",
       " [4, 5, 9, 3, 1],\n",
       " [5, 6, 10, 7, 12],\n",
       " [4, 7, 1, 1, 1],\n",
       " [24, 12, 15, 9, 23],\n",
       " [8, 12, 3, 8, 6],\n",
       " [5, 4, 2, 3, 9],\n",
       " [2, 1, 2, 1, 0],\n",
       " [3, 5, 9, 2, 2],\n",
       " [8, 10, 5, 3, 15],\n",
       " [6, 1, 3, 6, 2],\n",
       " [7, 4, 8, 6, 0],\n",
       " [5, 0, 1, 2, 3],\n",
       " [2, 3, 2, 5, 8],\n",
       " [8, 7, 8, 14, 4],\n",
       " [7, 3, 4, 8, 6],\n",
       " [22, 21, 10, 4, 0],\n",
       " [12, 11, 14, 4, 2],\n",
       " [3, 10, 13, 5, 15],\n",
       " [7, 10, 16, 12, 10],\n",
       " [3, 4, 5, 0, 2],\n",
       " [4, 13, 4, 5, 3],\n",
       " [15, 3, 5, 2, 2],\n",
       " [13, 2, 5, 2, 15],\n",
       " [10, 11, 11, 5, 3],\n",
       " [5, 7, 9, 11, 19],\n",
       " [18, 14, 11, 11, 7],\n",
       " [5, 8, 6, 10, 9],\n",
       " [12, 13, 18, 32, 23],\n",
       " [14, 4, 5, 7, 8],\n",
       " [6, 6, 7, 0, 0],\n",
       " [10, 17, 2, 34, 10],\n",
       " [4, 0, 1, 3, 5],\n",
       " [8, 16, 8, 18, 16],\n",
       " [2, 7, 7, 9, 14],\n",
       " [13, 9, 2, 4, 8],\n",
       " [8, 10, 4, 5, 9],\n",
       " [1, 1, 2, 6, 2],\n",
       " [2, 14, 9, 10, 11],\n",
       " [1, 7, 0, 1, 1],\n",
       " [6, 2, 10, 7, 3],\n",
       " [9, 7, 3, 6, 1],\n",
       " [4, 0, 0, 0, 0],\n",
       " [5, 6, 2, 3, 5],\n",
       " [5, 4, 6, 8, 10],\n",
       " [16, 7, 10, 8, 19],\n",
       " [5, 7, 8, 10, 5],\n",
       " [4, 3, 6, 1, 3],\n",
       " [2, 0, 0, 0, 0],\n",
       " [5, 6, 10, 7, 8],\n",
       " [6, 2, 2, 1, 3],\n",
       " [2, 1, 2, 2, 0],\n",
       " [10, 6, 11, 9, 7],\n",
       " [15, 19, 32, 19, 15],\n",
       " [5, 5, 3, 1, 0],\n",
       " [7, 11, 8, 10, 4],\n",
       " [13, 11, 8, 11, 12],\n",
       " [4, 6, 11, 8, 3],\n",
       " [9, 0, 0, 0, 0],\n",
       " [5, 5, 4, 1, 2],\n",
       " [8, 7, 7, 3, 2],\n",
       " [7, 13, 14, 4, 2],\n",
       " [6, 4, 0, 13, 1],\n",
       " [10, 5, 4, 2, 5],\n",
       " [8, 9, 6, 13, 8],\n",
       " [7, 7, 9, 12, 5],\n",
       " [9, 3, 8, 2, 0],\n",
       " [7, 0, 6, 0, 1],\n",
       " [1, 2, 1, 2, 0],\n",
       " [18, 16, 10, 15, 11],\n",
       " [2, 4, 4, 11, 5],\n",
       " [7, 0, 2, 6, 5],\n",
       " [1, 3, 4, 7, 3],\n",
       " [4, 7, 7, 3, 4],\n",
       " [5, 4, 2, 0, 0],\n",
       " [2, 1, 5, 3, 0],\n",
       " [8, 9, 2, 2, 3],\n",
       " [4, 1, 1, 6, 10],\n",
       " [3, 4, 2, 3, 2],\n",
       " [1, 4, 4, 0, 5],\n",
       " [8, 7, 10, 7, 6],\n",
       " [5, 16, 2, 5, 4],\n",
       " [5, 3, 6, 9, 8],\n",
       " [8, 6, 0, 2, 15],\n",
       " [5, 6, 5, 2, 7],\n",
       " [10, 2, 5, 12, 5],\n",
       " [4, 0, 0, 1, 2],\n",
       " [3, 3, 3, 1, 1],\n",
       " [7, 5, 4, 9, 16],\n",
       " [9, 2, 3, 4, 4],\n",
       " [4, 5, 10, 6, 2],\n",
       " [5, 4, 7, 5, 12],\n",
       " [9, 9, 15, 11, 14],\n",
       " [25, 21, 7, 10, 9],\n",
       " [10, 9, 2, 2, 15],\n",
       " [17, 13, 14, 24, 66],\n",
       " [3, 2, 4, 7, 0],\n",
       " [3, 1, 0, 8, 4],\n",
       " [6, 4, 0, 1, 2],\n",
       " [3, 0, 2, 7, 11],\n",
       " [6, 5, 8, 3, 3],\n",
       " [7, 2, 6, 4, 2],\n",
       " [5, 2, 2, 3, 3],\n",
       " [6, 17, 12, 6, 11],\n",
       " [16, 15, 14, 10, 9],\n",
       " [11, 11, 8, 4, 1],\n",
       " [4, 10, 7, 11, 7],\n",
       " [13, 18, 3, 0, 1],\n",
       " [1, 0, 3, 3, 9],\n",
       " [2, 7, 4, 9, 5],\n",
       " [1, 2, 8, 4, 6],\n",
       " [3, 1, 3, 2, 4],\n",
       " [13, 1, 5, 6, 5],\n",
       " [15, 14, 6, 4, 12],\n",
       " [14, 8, 10, 18, 9],\n",
       " [13, 3, 5, 13, 4],\n",
       " [3, 1, 2, 2, 2],\n",
       " [7, 1, 2, 1, 1],\n",
       " [3, 6, 9, 16, 4],\n",
       " [3, 3, 1, 0, 0],\n",
       " [1, 0, 1, 0, 2],\n",
       " [22, 21, 13, 9, 3],\n",
       " [3, 4, 0, 0, 0],\n",
       " [13, 0, 0, 0, 11],\n",
       " [6, 1, 0, 1, 3],\n",
       " [3, 2, 3, 1, 1],\n",
       " [6, 6, 8, 0, 3],\n",
       " [7, 2, 0, 0, 3],\n",
       " [3, 0, 0, 0, 0],\n",
       " [4, 2, 2, 6, 3],\n",
       " [6, 14, 14, 18, 4],\n",
       " [4, 0, 6, 4, 3],\n",
       " [11, 3, 1, 0, 0],\n",
       " [4, 2, 2, 1, 7],\n",
       " [7, 0, 7, 3, 6],\n",
       " [3, 6, 4, 6, 3],\n",
       " [17, 12, 19, 15, 12],\n",
       " [12, 11, 10, 14, 11],\n",
       " [7, 2, 1, 8, 6],\n",
       " [1, 2, 1, 4, 8],\n",
       " [2, 8, 9, 20, 35],\n",
       " [2, 2, 0, 0, 0],\n",
       " [14, 0, 2, 2, 1],\n",
       " [15, 12, 15, 6, 5],\n",
       " [4, 12, 0, 4, 4],\n",
       " [2, 7, 2, 2, 4],\n",
       " [7, 12, 9, 14, 12],\n",
       " [12, 7, 6, 4, 6],\n",
       " [8, 12, 6, 4, 25],\n",
       " [3, 2, 3, 4, 6],\n",
       " [12, 25, 6, 3, 3],\n",
       " [9, 18, 8, 3, 2],\n",
       " [4, 0, 0, 0, 0],\n",
       " [5, 10, 12, 11, 0],\n",
       " [4, 6, 9, 9, 7],\n",
       " [15, 4, 6, 9, 11],\n",
       " [4, 8, 3, 5, 5],\n",
       " [4, 6, 22, 12, 3],\n",
       " [9, 6, 3, 5, 6],\n",
       " [11, 7, 4, 3, 5],\n",
       " [18, 20, 8, 7, 9],\n",
       " [19, 32, 9, 10, 23],\n",
       " [6, 7, 2, 4, 8],\n",
       " [6, 25, 13, 11, 6],\n",
       " [3, 0, 1, 0, 0],\n",
       " [5, 3, 4, 3, 0],\n",
       " [9, 14, 10, 2, 4],\n",
       " [1, 1, 0, 0, 3],\n",
       " [2, 2, 3, 3, 4],\n",
       " [2, 6, 4, 13, 13],\n",
       " [7, 8, 12, 12, 5],\n",
       " ...]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "full_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "count = pd.DataFrame(full_list)\n",
    "count.index = atm_list\n",
    "count.columns = [\"Month {}\".format(i+1) for i in range(count.shape[1])]\n",
    "count\n",
    "count.to_csv(\"Monthly ticket.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>Month 1</th>\n",
       "      <th>Month 2</th>\n",
       "      <th>Month 3</th>\n",
       "      <th>Month 4</th>\n",
       "      <th>Month 5</th>\n",
       "      <th>Monthly Avg Ticket</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ATM ID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th>1RDDJAI26</th>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>12</td>\n",
       "      <td>5.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1FNJNP09</th>\n",
       "      <td>11</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1FNKAN98</th>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>14</td>\n",
       "      <td>13</td>\n",
       "      <td>10.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1FNMAU06</th>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>11</td>\n",
       "      <td>21</td>\n",
       "      <td>10</td>\n",
       "      <td>9.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1RDNVAR21</th>\n",
       "      <td>16</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>6.2</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1RDNKUT01</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1FDRGH22</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1FNKOT24</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1FNKOL202</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1DBA15831</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4035 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           Month 1  Month 2  Month 3  Month 4  Month 5  Monthly Avg Ticket\n",
       "ATM ID                                                                    \n",
       "1RDDJAI26        8        5        0        2       12                 5.4\n",
       "1FNJNP09        11       10        2        0        0                 4.6\n",
       "1FNKAN98         7       10       10       14       13                10.8\n",
       "1FNMAU06         1        5       11       21       10                 9.6\n",
       "1RDNVAR21       16        7        2        4        2                 6.2\n",
       "...            ...      ...      ...      ...      ...                 ...\n",
       "1RDNKUT01        0        0        0        0        1                 0.2\n",
       "1FDRGH22         0        0        0        0        1                 0.2\n",
       "1FNKOT24         0        0        0        0        1                 0.2\n",
       "1FNKOL202        0        0        0        0        1                 0.2\n",
       "1DBA15831        0        0        0        0        2                 0.4\n",
       "\n",
       "[4035 rows x 6 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "count = pd.read_csv(\"Monthly ticket.csv\")\n",
    "count = count.rename(columns = {count.columns[0]: \"ATM ID\"})\n",
    "count = count.set_index(\"ATM ID\")\n",
    "count[\"Monthly Avg Ticket\"] = round(count.mean(axis = 1),3)\n",
    "count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "atm = count[count[\"Monthly Avg Ticket\"] <= 8].index.tolist()\n",
    "pd.DataFrame(atm).to_csv(\"ATMs (ticket less than 8).csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "atm = count[count[\"Monthly Avg Ticket\"] <= 6].index.tolist()\n",
    "pd.DataFrame(atm).to_csv(\"ATMs (ticket less than 6).csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2785"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(atm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "      <th></th>\n",
       "      <th>Month 1</th>\n",
       "      <th>Month 2</th>\n",
       "      <th>Month 3</th>\n",
       "      <th>Month 4</th>\n",
       "      <th>Monthly Avg Ticket</th>\n",
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       "    <tr>\n",
       "      <th>ATM ID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1RDDJAI26</th>\n",
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       "      <td>3.75</td>\n",
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       "      <td>5.75</td>\n",
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       "    <tr>\n",
       "      <th>1FNMAU06</th>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>11</td>\n",
       "      <td>21</td>\n",
       "      <td>9.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1FNKAN98</th>\n",
       "      <td>7</td>\n",
       "      <td>10</td>\n",
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       "      <td>14</td>\n",
       "      <td>10.25</td>\n",
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       "    <tr>\n",
       "      <th>1FDJDP44</th>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "      <td>16</td>\n",
       "      <td>9.00</td>\n",
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       "      <th>...</th>\n",
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       "      <td>0</td>\n",
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       "      <td>0.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1FNKAN106</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1FNBNW15</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1FNJMG18</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1FNJUN01</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.25</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4020 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Month 1  Month 2  Month 3  Month 4  Monthly Avg Ticket\n",
       "ATM ID                                                            \n",
       "1RDDJAI26         8        5        0        2                3.75\n",
       "1FNJNP09         11       10        2        0                5.75\n",
       "1FNMAU06          1        5       11       21                9.50\n",
       "1FNKAN98          7       10       10       14               10.25\n",
       "1FDJDP44          6        5        9       16                9.00\n",
       "...             ...      ...      ...      ...                 ...\n",
       "1CRHUPVA04        0        0        0        1                0.25\n",
       "1FNKAN106         0        0        0        1                0.25\n",
       "1FNBNW15          0        0        0        3                0.75\n",
       "1FNJMG18          0        0        0        2                0.50\n",
       "1FNJUN01          0        0        0        1                0.25\n",
       "\n",
       "[4020 rows x 5 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "count[\"Monthly Avg Ticket\"] = round(count.mean(axis = 1),3)\n",
    "count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Month 1</th>\n",
       "      <th>Month 2</th>\n",
       "      <th>Month 3</th>\n",
       "      <th>Month 4</th>\n",
       "      <th>Monthly Avg Ticket</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ATM ID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  <tbody>\n",
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       "      <th>1FNKAN98</th>\n",
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       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>14</td>\n",
       "      <td>10.25</td>\n",
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       "      <th>1FDKAN159</th>\n",
       "      <td>11</td>\n",
       "      <td>18</td>\n",
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       "      <td>7</td>\n",
       "      <td>10.75</td>\n",
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       "    <tr>\n",
       "      <th>1RDNAJM02</th>\n",
       "      <td>12</td>\n",
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       "      <td>26</td>\n",
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       "      <td>13.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1RDDBWD01</th>\n",
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       "      <td>14</td>\n",
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       "      <td>19</td>\n",
       "      <td>12.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1FNJHU04</th>\n",
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       "      <td>2</td>\n",
       "      <td>15</td>\n",
       "      <td>32</td>\n",
       "      <td>12.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1FNFTP03</th>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
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       "      <td>9</td>\n",
       "      <td>12.25</td>\n",
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       "    <tr>\n",
       "      <th>1CRUPRB02</th>\n",
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       "      <td>8</td>\n",
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       "      <td>13</td>\n",
       "      <td>10.50</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>419 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           Month 1  Month 2  Month 3  Month 4  Monthly Avg Ticket\n",
       "ATM ID                                                           \n",
       "1FNKAN98         7       10       10       14               10.25\n",
       "1FDKAN159       11       18        7        7               10.75\n",
       "1RDNAJM02       12       13       24       14               15.75\n",
       "1CRGJAH44       15        6       21       16               14.50\n",
       "1FNJAI99        14        5       10       22               12.75\n",
       "...            ...      ...      ...      ...                 ...\n",
       "1VD703601        1       26       22        6               13.75\n",
       "1RDDBWD01        0       14       18       19               12.75\n",
       "1FNJHU04         0        2       15       32               12.25\n",
       "1FNFTP03         0        6       34        9               12.25\n",
       "1CRUPRB02        0        8       21       13               10.50\n",
       "\n",
       "[419 rows x 5 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "count[count[\"Monthly Avg Ticket\"]>10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['1FWBDN25',\n",
       " '1RDDGKP02',\n",
       " '1RDDHMP01',\n",
       " '1RDDKAN01',\n",
       " '1RDDLUC13',\n",
       " '1RDDMUM74',\n",
       " '1RDDMUM77',\n",
       " '1RDDVAR12',\n",
       " '1RDDVAR01',\n",
       " '1RDNAJM02',\n",
       " '1RDNAJM11',\n",
       " '1RDNJAI17',\n",
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       " '1CRMHMU507',\n",
       " '1CRMLWK01',\n",
       " '1CRRJJP18',\n",
       " '1CRRJSK04',\n",
       " '1FDAHM176',\n",
       " '1FDALW15',\n",
       " '1FDAZM09',\n",
       " '1FDBOM222',\n",
       " '1FDBOM376',\n",
       " '1FDBST04',\n",
       " '1FDCAC03',\n",
       " '1FDDAR09',\n",
       " '1FDDUN23',\n",
       " '1FDGKP11',\n",
       " '1FDKAN153',\n",
       " '1FDRAJ66',\n",
       " '1FNAJM36',\n",
       " '1FNAJM76',\n",
       " '1FNALD132',\n",
       " '1FNALD59',\n",
       " '1FNAMT02',\n",
       " '1FNANA26',\n",
       " '1FNBAN05',\n",
       " '1FNBHT01',\n",
       " '1FNBLR01',\n",
       " '1FNFZB19',\n",
       " '1FNJDP72',\n",
       " '1FNJHU01',\n",
       " '1FNJMG30',\n",
       " '1FNKHD27',\n",
       " '1FNMRD02',\n",
       " '1FNMRD12',\n",
       " '1FNPGS06',\n",
       " '1FNPRL02',\n",
       " '1FNPTP48',\n",
       " '1FNRAJ17',\n",
       " '1FNRAJ38',\n",
       " '1FNRAJ41',\n",
       " '1FNSBK18',\n",
       " '1FNSIK04',\n",
       " '1FNSIK18',\n",
       " '1FNTNK14',\n",
       " '1FWAHM206',\n",
       " '1FWGGN17',\n",
       " '1RDDBST01',\n",
       " '1RDDJAI27',\n",
       " '1RDDJDP12',\n",
       " '1RDDKAN10',\n",
       " '1RDNKOL24',\n",
       " '1RDNLUC29',\n",
       " '1RDNMEH07',\n",
       " '1RDNVAR20',\n",
       " '1RDWPTP01',\n",
       " '1CRHMHMU07',\n",
       " '1CRHUPAL09',\n",
       " '1CRHUPAL05',\n",
       " '1CRMHMU78',\n",
       " '1CRRJDH01',\n",
       " '1DBA04221',\n",
       " '1FDBNG02',\n",
       " '1FDRGH13',\n",
       " '1FDTNK24',\n",
       " '1FNABN28',\n",
       " '1FNAHM76',\n",
       " '1FNAHM72',\n",
       " '1FNAJM67',\n",
       " '1FNBHT16',\n",
       " '1FNBLR02',\n",
       " '1FNGGN18',\n",
       " '1FNHAN03',\n",
       " '1FNJAI100',\n",
       " '1FNJMG16',\n",
       " '1FNKAN138',\n",
       " '1FNKAN45',\n",
       " '1FNKAN86',\n",
       " '1FNKHD20',\n",
       " '1FNKOL111',\n",
       " '1FNKOL225',\n",
       " '1FNKOL219',\n",
       " '1FNKOT16',\n",
       " '1FNMEH24',\n",
       " '1FNPGS02',\n",
       " '1FNPTN09',\n",
       " '1FNRAJ40',\n",
       " '1FNRBL35',\n",
       " '1FWAHM202',\n",
       " '1RDDAHM86',\n",
       " '1RDDMUM63',\n",
       " '1RDDRBL01',\n",
       " '1RDDVAR07',\n",
       " '1RDNKOL52',\n",
       " '1RDWBOM09',\n",
       " '3CRRJBK04',\n",
       " '1CRHGJAN01',\n",
       " '1CRRJJO06',\n",
       " '1CRRJPG01',\n",
       " '1FDAHM91',\n",
       " '1FDBNK16',\n",
       " '1FDBOM414',\n",
       " '1FDFZB35',\n",
       " '1FDJAI125',\n",
       " '1FDJDP41',\n",
       " '1FDJPG002',\n",
       " '1FDJPG001',\n",
       " '1FNABN16',\n",
       " '1FNAHM111',\n",
       " '1FNAHM83',\n",
       " '1FNALD123',\n",
       " '1FNALD52',\n",
       " '1FNANA37',\n",
       " '1FNBDN05',\n",
       " '1FNBHL06',\n",
       " '1FNDAU11',\n",
       " '1FNGGN01',\n",
       " '1FNJUN15',\n",
       " '1FNKAN66',\n",
       " '1FNKOL94',\n",
       " '1FNKSH24',\n",
       " '1FNKSH29',\n",
       " '1FNKUT10',\n",
       " '1FNNOR03',\n",
       " '1FNPLI04',\n",
       " '1FNPUM04',\n",
       " '1RDDVAR02',\n",
       " '1RDNAHM22',\n",
       " '1RDWFZB09',\n",
       " '1RDWGHT03',\n",
       " '1RDWJNP04',\n",
       " '1CRGJAH503',\n",
       " '1CRHRJAJ02',\n",
       " '1FDMEH30',\n",
       " '1FDNGU11',\n",
       " '1FNAIZ02',\n",
       " '1FNALD32',\n",
       " '1FNAMT19',\n",
       " '1FNANA18',\n",
       " '1FNANA54',\n",
       " '1FNCHU03',\n",
       " '1FNFTP37',\n",
       " '1FNFZB17',\n",
       " '1FNKAN142',\n",
       " '1FNKHD51',\n",
       " '1FNLUC59',\n",
       " '1FNLUC94',\n",
       " '1FNNGN02',\n",
       " '1FNPRL01',\n",
       " '1FNRAJ30',\n",
       " '1FNSVR01',\n",
       " '1RDNJAI10',\n",
       " '1RDNKSH01',\n",
       " '1RDWHOG01',\n",
       " '1RDWVAR30',\n",
       " '1RNNJDP01',\n",
       " '1CRGJAH43',\n",
       " '1CRHGJAH02',\n",
       " '1CRHUPLU05',\n",
       " '1CRRJBL03',\n",
       " '1FDGND04',\n",
       " '1FDJDP44',\n",
       " '1FDJHU16',\n",
       " '1FDRBL48',\n",
       " '1FDVAR64',\n",
       " '1FNABN09',\n",
       " '1FNAHM89',\n",
       " '1FNAJM41',\n",
       " '1FNAJM60',\n",
       " '1FNAMT30',\n",
       " '1FNANA52',\n",
       " '1FNANA56',\n",
       " '1FNANA58',\n",
       " '1FNARR01',\n",
       " '1FNANA60',\n",
       " '1FNBBN06',\n",
       " '1FNBBN07',\n",
       " '1FNBHL13',\n",
       " '1FNBHP02',\n",
       " '1FNCHU12',\n",
       " '1FNCHU14',\n",
       " '1FNFTP41',\n",
       " '1FNGDH10',\n",
       " '1FNHAN02',\n",
       " '1FNIMP04',\n",
       " '1FNKAN56',\n",
       " '1FNKHD41',\n",
       " '1FNKOL90',\n",
       " '1FNLUC100',\n",
       " '1FNLUC104',\n",
       " '1FNMRD06',\n",
       " '1FNRAJ35',\n",
       " '1FNRVN06',\n",
       " '1FNSDR06',\n",
       " '1FNUDP41',\n",
       " '1FNUDP42',\n",
       " '1FWBSK04',\n",
       " '1RDNALW03',\n",
       " '1RDNANA10',\n",
       " '1RDNMIR03',\n",
       " '1RDWAHM55',\n",
       " '1RDWLUC41',\n",
       " '1RDWLUC54',\n",
       " '1RDWVAR29',\n",
       " '2CRMHMU43',\n",
       " '1CRHRJAJ01',\n",
       " '1CRMHMU56',\n",
       " '1CRRJGA02',\n",
       " '1FDJDP20',\n",
       " '1FDKOL126',\n",
       " '1FDKOL179',\n",
       " '1FDSIK14',\n",
       " '1FNABN12',\n",
       " '1FNAJM21',\n",
       " '1FNALD112',\n",
       " '1FNALD65',\n",
       " '1FNALD74',\n",
       " '1FNAMT22',\n",
       " '1FNBDN11',\n",
       " '1FNBNK10',\n",
       " '1FNBNW27',\n",
       " '1FNCHU04',\n",
       " '1FNDAU02',\n",
       " '1FNDAR05',\n",
       " '1FNDAU03',\n",
       " '1FNGKP10',\n",
       " '1FNJAI48',\n",
       " '1FNJAI96',\n",
       " '1FNJHU03',\n",
       " '1FNKAN132',\n",
       " '1FNKAN59',\n",
       " '1FNKAN62',\n",
       " '1FNKHD05',\n",
       " '1FNKHD54',\n",
       " '1FNKMR05',\n",
       " '1FNKOT13',\n",
       " '1FNKSH05',\n",
       " '1FNLUC62',\n",
       " '1FNLUC83',\n",
       " '1FNPTP19',\n",
       " '1FNPTP22',\n",
       " '1RDDVAR08',\n",
       " '1RDNKOL40',\n",
       " '1RDNKOL51',\n",
       " '1RDNNAD02',\n",
       " '1CRHUPLU02',\n",
       " '1FDBOM223',\n",
       " '1FDBOM290',\n",
       " '1FDKOL163',\n",
       " '1FDLUC111',\n",
       " '1FDPUM02',\n",
       " '1FNABN24',\n",
       " '1FNAJM37',\n",
       " '1FNALD107',\n",
       " '1FNAMT06',\n",
       " '1FNBHT19',\n",
       " '1FNBIK49',\n",
       " '1FNBRM13',\n",
       " '1FNFZB42',\n",
       " '1FNGGN07',\n",
       " '1FNJDP63',\n",
       " '1FNKAN63',\n",
       " '1FNLUC74',\n",
       " '1FNMEH27',\n",
       " '1FNMEH26',\n",
       " '1FNMEH48',\n",
       " '1FNMRD03',\n",
       " ...]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "atm_list = list(data[\"ATM ID\"].unique())\n",
    "atm_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[8, 45, 7, 36, 59]\n",
      "[20, 89, 12, 93, 102]\n",
      "[9, 11, 2, 60, 48]\n",
      "[7, 68, 11, 92, 93]\n",
      "[11, 75, 14, 47, 73]\n",
      "[13, 20, 14, 18, 0]\n",
      "[12, 26, 7, 45, 46]\n",
      "[14, 70, 29, 93, 50]\n",
      "[24, 142, 22, 102, 119]\n",
      "[6, 44, 14, 72, 69]\n",
      "[35, 150, 47, 219, 149]\n",
      "[17, 9, 10, 56, 50]\n",
      "[6, 15, 4, 39, 40]\n",
      "[11, 44, 5, 45, 27]\n",
      "[6, 21, 0, 4, 16]\n",
      "[11, 37, 8, 28, 51]\n",
      "[15, 74, 13, 41, 85]\n",
      "[1, 52, 12, 45, 85]\n",
      "[9, 38, 9, 60, 43]\n",
      "[18, 76, 25, 179, 181]\n",
      "[1, 33, 3, 14, 33]\n",
      "[9, 37, 5, 11, 32]\n",
      "[19, 87, 11, 64, 84]\n",
      "[7, 43, 11, 55, 52]\n",
      "[5, 57, 16, 85, 97]\n",
      "[12, 55, 17, 76, 81]\n",
      "[5, 95, 14, 75, 71]\n",
      "[13, 59, 8, 129, 53]\n",
      "[13, 25, 7, 34, 60]\n",
      "[5, 44, 3, 30, 56]\n",
      "[35, 134, 46, 242, 118]\n",
      "[8, 46, 10, 64, 34]\n",
      "[2, 71, 5, 99, 52]\n",
      "[5, 39, 6, 62, 79]\n",
      "[14, 27, 4, 32, 35]\n",
      "[11, 5, 0, 61, 45]\n",
      "[4, 62, 8, 69, 118]\n",
      "[12, 22, 13, 93, 27]\n",
      "[15, 22, 13, 28, 34]\n",
      "[14, 34, 3, 48, 60]\n",
      "[14, 25, 6, 41, 16]\n",
      "[21, 75, 31, 118, 96]\n",
      "[9, 44, 3, 22, 133]\n",
      "[12, 79, 18, 154, 31]\n",
      "[20, 5, 0, 0, 0]\n",
      "[13, 73, 31, 62, 69]\n",
      "[20, 51, 13, 41, 57]\n",
      "[42, 201, 32, 121, 80]\n",
      "[8, 57, 7, 78, 99]\n",
      "[6, 47, 10, 45, 37]\n",
      "[25, 84, 25, 120, 109]\n",
      "[4, 59, 16, 72, 124]\n",
      "[14, 57, 4, 18, 85]\n",
      "[8, 31, 11, 45, 36]\n",
      "[8, 25, 22, 82, 33]\n",
      "[9, 12, 2, 11, 10]\n",
      "[2, 25, 9, 21, 15]\n",
      "[6, 19, 10, 54, 39]\n",
      "[14, 33, 17, 42, 25]\n",
      "[16, 46, 9, 15, 13]\n",
      "[1, 34, 11, 29, 23]\n",
      "[16, 25, 1, 19, 21]\n",
      "[7, 0, 5, 2, 12]\n",
      "[14, 97, 10, 17, 25]\n",
      "[29, 27, 6, 29, 40]\n",
      "[7, 23, 7, 15, 19]\n",
      "[3, 15, 6, 11, 12]\n",
      "[43, 45, 7, 110, 0]\n",
      "[7, 13, 5, 0, 0]\n",
      "[8, 49, 12, 54, 122]\n",
      "[20, 62, 28, 79, 91]\n",
      "[4, 16, 3, 27, 26]\n",
      "[7, 34, 4, 24, 37]\n",
      "[14, 122, 10, 51, 68]\n",
      "[11, 20, 2, 36, 29]\n",
      "[4, 19, 5, 37, 34]\n",
      "[6, 15, 0, 13, 20]\n",
      "[11, 52, 14, 58, 72]\n",
      "[22, 130, 27, 71, 134]\n",
      "[30, 88, 15, 212, 173]\n",
      "[7, 38, 6, 43, 47]\n",
      "[11, 52, 25, 91, 84]\n",
      "[8, 35, 11, 28, 47]\n",
      "[2, 21, 3, 58, 103]\n",
      "[5, 54, 10, 117, 41]\n",
      "[5, 2, 2, 6, 4]\n",
      "[7, 24, 9, 32, 13]\n",
      "[15, 23, 6, 23, 12]\n",
      "[10, 30, 4, 27, 31]\n",
      "[22, 21, 3, 65, 62]\n",
      "[5, 8, 0, 2, 12]\n",
      "[5, 47, 14, 63, 53]\n",
      "[14, 33, 21, 72, 56]\n",
      "[3, 14, 8, 13, 16]\n",
      "[1, 29, 4, 32, 43]\n",
      "[5, 61, 7, 32, 39]\n",
      "[14, 70, 26, 150, 122]\n",
      "[5, 29, 4, 281, 80]\n",
      "[9, 81, 36, 34, 7]\n",
      "[14, 21, 14, 41, 25]\n",
      "[9, 34, 5, 17, 26]\n",
      "[6, 37, 7, 33, 63]\n",
      "[9, 16, 7, 21, 27]\n",
      "[8, 39, 7, 40, 47]\n",
      "[14, 23, 7, 72, 78]\n",
      "[3, 28, 6, 39, 59]\n",
      "[8, 31, 8, 25, 48]\n",
      "[22, 96, 14, 167, 87]\n",
      "[12, 42, 1, 45, 95]\n",
      "[11, 69, 12, 130, 81]\n",
      "[9, 43, 6, 43, 82]\n",
      "[1, 46, 3, 46, 57]\n",
      "[33, 66, 15, 55, 94]\n",
      "[1, 44, 14, 60, 334]\n",
      "[12, 82, 14, 75, 77]\n",
      "[7, 49, 5, 34, 45]\n",
      "[12, 110, 20, 126, 89]\n",
      "[4, 84, 30, 48, 77]\n",
      "[2, 85, 6, 41, 52]\n",
      "[5, 40, 3, 53, 42]\n",
      "[7, 9, 13, 24, 36]\n",
      "[5, 47, 16, 16, 13]\n",
      "[15, 46, 12, 43, 71]\n",
      "[5, 29, 10, 45, 45]\n",
      "[5, 52, 17, 62, 74]\n",
      "[10, 31, 4, 49, 56]\n",
      "[66, 117, 52, 343, 68]\n",
      "[13, 19, 9, 59, 31]\n",
      "[7, 21, 4, 28, 31]\n",
      "[14, 61, 26, 93, 68]\n",
      "[10, 51, 0, 14, 46]\n",
      "[4, 25, 7, 61, 45]\n",
      "[27, 7, 0, 27, 82]\n",
      "[5, 13, 0, 0, 0]\n",
      "[11, 65, 0, 0, 45]\n",
      "[4, 16, 4, 10, 13]\n",
      "[9, 21, 4, 23, 21]\n",
      "[4, 9, 3, 49, 62]\n",
      "[7, 37, 18, 128, 170]\n",
      "[1, 8, 0, 0, 0]\n",
      "[12, 34, 3, 44, 18]\n",
      "[8, 2, 1, 5, 0]\n",
      "[8, 58, 21, 59, 28]\n",
      "[8, 27, 5, 26, 32]\n",
      "[20, 99, 0, 9, 28]\n",
      "[14, 19, 3, 18, 10]\n",
      "[4, 24, 15, 32, 32]\n",
      "[7, 24, 11, 53, 42]\n",
      "[11, 21, 10, 32, 0]\n",
      "[10, 31, 25, 118, 25]\n",
      "[13, 16, 0, 17, 3]\n",
      "[13, 33, 4, 28, 13]\n",
      "[16, 30, 5, 26, 22]\n",
      "[5, 15, 2, 29, 18]\n",
      "[14, 32, 12, 0, 151]\n",
      "[10, 101, 23, 109, 87]\n",
      "[13, 57, 8, 18, 34]\n",
      "[11, 23, 8, 22, 33]\n",
      "[37, 89, 19, 9, 14]\n",
      "[18, 12, 3, 26, 45]\n",
      "[9, 62, 3, 36, 57]\n",
      "[12, 24, 3, 33, 26]\n",
      "[10, 93, 8, 29, 30]\n",
      "[13, 16, 5, 23, 47]\n",
      "[5, 16, 11, 34, 32]\n",
      "[14, 55, 14, 43, 50]\n",
      "[12, 59, 13, 69, 87]\n",
      "[18, 69, 18, 79, 56]\n",
      "[16, 30, 12, 20, 0]\n",
      "[24, 50, 15, 85, 58]\n",
      "[10, 46, 20, 84, 83]\n",
      "[38, 59, 26, 114, 248]\n",
      "[49, 32, 46, 277, 36]\n",
      "[17, 84, 14, 63, 73]\n",
      "[9, 40, 8, 23, 17]\n",
      "[6, 30, 8, 33, 51]\n",
      "[33, 123, 9, 104, 84]\n",
      "[7, 70, 1, 31, 31]\n",
      "[6, 39, 7, 20, 20]\n",
      "[17, 35, 10, 50, 71]\n",
      "[7, 48, 9, 91, 85]\n",
      "[14, 113, 6, 65, 47]\n",
      "[15, 84, 7, 90, 88]\n",
      "[24, 57, 26, 93, 95]\n",
      "[15, 78, 28, 75, 74]\n",
      "[4, 58, 19, 104, 91]\n",
      "[9, 82, 10, 61, 73]\n",
      "[9, 71, 6, 58, 86]\n",
      "[40, 26, 0, 128, 50]\n",
      "[7, 34, 8, 30, 36]\n",
      "[9, 40, 11, 29, 51]\n",
      "[17, 63, 10, 47, 51]\n",
      "[9, 44, 16, 100, 79]\n",
      "[16, 21, 17, 58, 35]\n",
      "[7, 66, 13, 37, 62]\n",
      "[19, 62, 17, 72, 91]\n",
      "[12, 21, 2, 33, 33]\n",
      "[8, 25, 0, 0, 0]\n",
      "[13, 126, 22, 46, 37]\n",
      "[10, 48, 9, 65, 61]\n",
      "[28, 115, 37, 146, 116]\n",
      "[7, 48, 6, 84, 80]\n",
      "[16, 20, 9, 52, 75]\n",
      "[16, 17, 8, 31, 31]\n",
      "[17, 49, 0, 0, 0]\n",
      "[7, 22, 13, 48, 64]\n",
      "[6, 0, 11, 7, 42]\n",
      "[5, 4, 1, 13, 14]\n",
      "[13, 116, 0, 0, 0]\n",
      "[17, 25, 5, 29, 16]\n",
      "[5, 32, 13, 18, 14]\n",
      "[5, 11, 1, 7, 54]\n",
      "[11, 39, 11, 30, 45]\n",
      "[15, 45, 6, 49, 31]\n",
      "[7, 32, 6, 40, 19]\n",
      "[19, 16, 1, 23, 44]\n",
      "[5, 25, 8, 19, 35]\n",
      "[12, 9, 9, 60, 25]\n",
      "[14, 11, 3, 23, 30]\n",
      "[2, 31, 0, 19, 15]\n",
      "[10, 30, 0, 54, 177]\n",
      "[3, 13, 0, 11, 1]\n",
      "[3, 3, 0, 0, 0]\n",
      "[3, 20, 1, 13, 9]\n",
      "[5, 34, 16, 25, 37]\n",
      "[5, 14, 2, 21, 15]\n",
      "[8, 10, 12, 28, 25]\n",
      "[7, 25, 1, 18, 45]\n",
      "[13, 95, 2, 46, 40]\n",
      "[3, 9, 1, 23, 22]\n",
      "[2, 28, 2, 35, 18]\n",
      "[12, 70, 9, 16, 37]\n",
      "[18, 32, 2, 56, 38]\n",
      "[12, 32, 9, 97, 43]\n",
      "[10, 20, 14, 63, 59]\n",
      "[10, 115, 0, 0, 6]\n",
      "[17, 28, 4, 55, 69]\n",
      "[5, 18, 18, 88, 60]\n",
      "[7, 32, 8, 49, 66]\n",
      "[3, 0, 0, 0, 0]\n",
      "[7, 25, 11, 24, 19]\n",
      "[9, 71, 10, 42, 28]\n",
      "[21, 67, 15, 78, 88]\n",
      "[8, 43, 5, 17, 29]\n",
      "[14, 21, 7, 8, 25]\n",
      "[11, 83, 23, 63, 65]\n",
      "[9, 82, 16, 67, 57]\n",
      "[17, 82, 23, 94, 75]\n",
      "[7, 51, 22, 89, 62]\n",
      "[5, 108, 17, 69, 57]\n",
      "[2, 63, 24, 82, 77]\n",
      "[4, 38, 14, 59, 64]\n",
      "[25, 79, 9, 91, 75]\n",
      "[7, 55, 9, 84, 68]\n",
      "[11, 42, 4, 45, 70]\n",
      "[7, 50, 13, 63, 61]\n",
      "[25, 109, 16, 113, 40]\n",
      "[18, 40, 8, 95, 108]\n",
      "[8, 23, 8, 36, 42]\n",
      "[8, 41, 5, 43, 0]\n",
      "[9, 62, 22, 81, 44]\n",
      "[4, 42, 15, 61, 35]\n",
      "[19, 135, 31, 105, 96]\n",
      "[16, 71, 30, 62, 58]\n",
      "[21, 99, 14, 26, 37]\n",
      "[13, 100, 14, 126, 81]\n",
      "[18, 34, 2, 29, 51]\n",
      "[29, 43, 15, 31, 0]\n",
      "[13, 29, 10, 47, 85]\n",
      "[21, 43, 0, 34, 41]\n",
      "[13, 43, 3, 141, 70]\n",
      "[2, 33, 2, 86, 29]\n",
      "[4, 7, 3, 24, 23]\n",
      "[3, 25, 1, 14, 15]\n",
      "[13, 45, 3, 27, 46]\n",
      "[6, 19, 5, 23, 11]\n",
      "[42, 71, 12, 42, 39]\n",
      "[64, 270, 0, 33, 37]\n",
      "[4, 25, 8, 32, 41]\n",
      "[20, 57, 25, 104, 107]\n",
      "[5, 21, 10, 47, 27]\n",
      "[6, 11, 5, 11, 20]\n",
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      "[15, 55, 13, 87, 68]\n",
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      "[2, 30, 18, 35, 39]\n",
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      "[15, 28, 4, 29, 39]\n",
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      "[2, 19, 2, 13, 11]\n",
      "[3, 27, 14, 28, 39]\n",
      "[12, 44, 5, 16, 18]\n",
      "[6, 16, 11, 29, 35]\n",
      "[9, 33, 8, 27, 36]\n",
      "[6, 95, 12, 13, 20]\n",
      "[5, 82, 8, 82, 79]\n",
      "[1, 55, 6, 50, 51]\n",
      "[11, 25, 5, 13, 7]\n",
      "[6, 31, 6, 33, 68]\n",
      "[14, 148, 19, 96, 55]\n",
      "[1, 78, 6, 59, 105]\n",
      "[8, 24, 19, 44, 62]\n",
      "[8, 55, 12, 33, 22]\n",
      "[12, 99, 38, 112, 81]\n",
      "[4, 17, 3, 26, 30]\n",
      "[8, 27, 14, 27, 33]\n",
      "[7, 69, 10, 101, 39]\n",
      "[7, 21, 8, 78, 48]\n",
      "[6, 44, 3, 39, 33]\n",
      "[11, 72, 21, 60, 46]\n",
      "[17, 77, 22, 153, 144]\n",
      "[16, 54, 27, 93, 89]\n",
      "[16, 57, 1, 28, 97]\n",
      "[7, 56, 3, 64, 49]\n",
      "[11, 54, 13, 61, 120]\n",
      "[5, 25, 8, 34, 50]\n",
      "[12, 27, 3, 69, 56]\n",
      "[5, 68, 10, 26, 19]\n",
      "[14, 59, 10, 32, 69]\n",
      "[4, 38, 8, 36, 48]\n",
      "[13, 68, 19, 66, 44]\n",
      "[13, 56, 9, 33, 0]\n",
      "[14, 75, 32, 112, 97]\n",
      "[20, 45, 7, 67, 192]\n",
      "[7, 14, 6, 57, 66]\n",
      "[21, 85, 35, 33, 78]\n",
      "[2, 0, 10, 55, 14]\n",
      "[21, 49, 4, 24, 21]\n",
      "[25, 80, 32, 91, 62]\n",
      "[19, 56, 18, 45, 41]\n",
      "[7, 25, 1, 14, 11]\n",
      "[4, 5, 23, 4, 0]\n",
      "[9, 31, 5, 18, 23]\n",
      "[2, 12, 5, 30, 34]\n",
      "[4, 16, 5, 25, 28]\n",
      "[7, 13, 6, 6, 8]\n",
      "[9, 20, 2, 40, 65]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "[13, 4, 2, 80, 91]\n",
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      "[37, 189, 2, 38, 39]\n",
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      "[11, 55, 9, 23, 33]\n",
      "[6, 28, 3, 30, 36]\n",
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      "[5, 58, 2, 28, 24]\n",
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      "[3, 18, 5, 25, 22]\n",
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      "[5, 48, 7, 35, 38]\n",
      "[3, 45, 5, 40, 32]\n",
      "[3, 36, 12, 28, 41]\n",
      "[9, 24, 5, 16, 22]\n",
      "[7, 48, 8, 25, 43]\n",
      "[8, 48, 4, 37, 38]\n",
      "[9, 42, 2, 38, 40]\n",
      "[20, 60, 17, 78, 76]\n",
      "[27, 49, 28, 87, 91]\n",
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      "[3, 26, 7, 22, 20]\n",
      "[7, 9, 0, 44, 70]\n",
      "[7, 40, 8, 105, 94]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "[10, 46, 3, 44, 59]\n",
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      "[17, 78, 28, 94, 90]\n",
      "[5, 59, 24, 69, 76]\n",
      "[7, 45, 4, 9, 22]\n",
      "[17, 33, 5, 48, 37]\n",
      "[5, 26, 1, 79, 70]\n",
      "[15, 70, 13, 79, 69]\n",
      "[17, 79, 12, 102, 100]\n",
      "[2, 60, 13, 106, 76]\n",
      "[5, 75, 21, 107, 77]\n",
      "[6, 28, 4, 28, 35]\n",
      "[8, 17, 4, 53, 49]\n",
      "[8, 55, 7, 35, 36]\n",
      "[10, 68, 5, 4, 17]\n",
      "[6, 25, 8, 22, 38]\n",
      "[6, 37, 16, 28, 55]\n",
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      "[4, 43, 4, 36, 58]\n",
      "[3, 0, 12, 37, 14]\n",
      "[10, 56, 14, 52, 49]\n",
      "[8, 42, 9, 68, 0]\n",
      "[2, 20, 3, 69, 59]\n",
      "[1, 34, 8, 23, 6]\n",
      "[18, 66, 18, 57, 19]\n",
      "[4, 53, 18, 56, 58]\n",
      "[5, 44, 5, 11, 33]\n",
      "[7, 66, 18, 57, 54]\n",
      "[4, 29, 0, 29, 22]\n",
      "[7, 44, 7, 46, 48]\n",
      "[4, 13, 0, 18, 24]\n",
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      "[2, 46, 15, 29, 33]\n",
      "[2, 58, 0, 19, 10]\n",
      "[7, 42, 6, 53, 34]\n",
      "[7, 46, 12, 40, 25]\n",
      "[5, 29, 3, 40, 54]\n",
      "[5, 33, 6, 80, 135]\n",
      "[4, 24, 11, 75, 96]\n",
      "[5, 87, 16, 98, 71]\n",
      "[5, 80, 39, 160, 174]\n",
      "[10, 23, 3, 7, 17]\n",
      "[17, 72, 21, 83, 82]\n",
      "[13, 97, 20, 59, 79]\n",
      "[7, 60, 17, 68, 47]\n",
      "[6, 79, 20, 81, 61]\n",
      "[7, 46, 11, 23, 33]\n",
      "[3, 88, 0, 137, 121]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "[6, 61, 4, 49, 45]\n",
      "[3, 36, 11, 10, 60]\n",
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      "[5, 29, 13, 9, 17]\n",
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      "[5, 23, 5, 24, 19]\n",
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      "[13, 53, 18, 53, 43]\n",
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      "[15, 74, 11, 83, 76]\n",
      "[20, 106, 20, 122, 125]\n",
      "[3, 33, 6, 49, 27]\n",
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      "[2, 0, 11, 26, 59]\n",
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      "[5, 66, 17, 44, 56]\n",
      "[3, 35, 14, 17, 38]\n",
      "[8, 15, 1, 22, 45]\n",
      "[15, 43, 22, 42, 36]\n",
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      "[5, 13, 4, 13, 18]\n",
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      "[12, 72, 12, 63, 92]\n",
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      "[3, 55, 1, 12, 21]\n",
      "[3, 51, 19, 34, 86]\n",
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      "[3, 47, 0, 52, 38]\n",
      "[4, 18, 4, 19, 15]\n",
      "[3, 88, 24, 46, 48]\n",
      "[4, 30, 1, 41, 52]\n",
      "[23, 65, 29, 100, 105]\n",
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      "[4, 19, 9, 25, 37]\n",
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      "[3, 18, 3, 20, 18]\n",
      "[14, 58, 9, 33, 18]\n",
      "[8, 26, 1, 9, 69]\n",
      "[8, 24, 4, 80, 95]\n",
      "[2, 37, 21, 59, 33]\n",
      "[14, 25, 11, 40, 79]\n",
      "[16, 38, 10, 53, 39]\n",
      "[2, 12, 1, 26, 56]\n",
      "[7, 62, 17, 48, 59]\n",
      "[7, 24, 3, 0, 0]\n",
      "[14, 56, 8, 47, 40]\n",
      "[10, 59, 9, 45, 47]\n",
      "[2, 12, 3, 0, 3]\n",
      "[7, 9, 15, 31, 36]\n",
      "[4, 15, 5, 13, 8]\n",
      "[7, 20, 3, 23, 28]\n",
      "[8, 49, 11, 64, 50]\n",
      "[9, 45, 8, 36, 37]\n",
      "[5, 22, 7, 27, 64]\n",
      "[7, 19, 2, 26, 20]\n",
      "[10, 28, 1, 37, 22]\n",
      "[12, 45, 19, 91, 70]\n",
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      "[4, 40, 9, 131, 89]\n",
      "[3, 41, 7, 38, 17]\n",
      "[8, 17, 9, 25, 25]\n",
      "[6, 13, 0, 29, 45]\n",
      "[3, 17, 0, 14, 18]\n",
      "[6, 31, 17, 46, 49]\n",
      "[2, 16, 0, 12, 16]\n",
      "[4, 58, 7, 23, 40]\n",
      "[3, 17, 5, 5, 8]\n",
      "[7, 29, 4, 16, 21]\n",
      "[28, 124, 13, 91, 125]\n",
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      "[16, 44, 11, 73, 87]\n",
      "[12, 33, 6, 41, 43]\n",
      "[11, 75, 14, 65, 74]\n",
      "[4, 73, 23, 107, 96]\n",
      "[12, 47, 3, 49, 58]\n",
      "[8, 24, 4, 69, 61]\n",
      "[8, 53, 13, 202, 299]\n",
      "[13, 66, 7, 101, 64]\n",
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      "[6, 36, 11, 46, 45]\n",
      "[1, 0, 9, 46, 59]\n",
      "[8, 43, 4, 48, 53]\n",
      "[6, 26, 7, 38, 48]\n",
      "[1, 49, 13, 77, 81]\n",
      "[8, 43, 3, 52, 59]\n",
      "[4, 34, 4, 164, 136]\n",
      "[6, 48, 11, 22, 70]\n",
      "[9, 127, 2, 58, 165]\n",
      "[6, 79, 22, 68, 59]\n",
      "[3, 36, 4, 62, 70]\n",
      "[8, 94, 4, 38, 38]\n",
      "[6, 36, 2, 51, 64]\n",
      "[1, 24, 1, 30, 65]\n",
      "[7, 21, 3, 77, 36]\n",
      "[16, 59, 11, 25, 111]\n",
      "[3, 37, 9, 25, 31]\n",
      "[4, 22, 1, 28, 62]\n",
      "[9, 25, 5, 29, 9]\n",
      "[7, 16, 20, 43, 31]\n",
      "[1, 29, 10, 36, 25]\n",
      "[17, 102, 20, 102, 105]\n",
      "[7, 25, 6, 37, 30]\n",
      "[17, 53, 11, 32, 40]\n",
      "[4, 28, 18, 67, 43]\n",
      "[1, 49, 10, 31, 48]\n",
      "[10, 38, 12, 20, 0]\n",
      "[9, 74, 24, 106, 59]\n",
      "[3, 33, 9, 61, 52]\n",
      "[15, 33, 6, 33, 28]\n",
      "[9, 44, 12, 40, 34]\n",
      "[18, 42, 17, 43, 37]\n",
      "[6, 29, 11, 27, 37]\n",
      "[3, 9, 12, 52, 44]\n",
      "[1, 28, 0, 19, 22]\n",
      "[6, 44, 24, 27, 17]\n",
      "[9, 74, 4, 10, 25]\n",
      "[10, 22, 3, 15, 23]\n",
      "[14, 52, 19, 95, 46]\n",
      "[4, 8, 6, 26, 18]\n",
      "[2, 13, 4, 14, 23]\n",
      "[6, 11, 10, 57, 49]\n",
      "[14, 35, 2, 61, 57]\n",
      "[6, 58, 9, 47, 60]\n",
      "[16, 56, 1, 98, 46]\n",
      "[4, 28, 3, 18, 34]\n",
      "[5, 87, 14, 35, 26]\n",
      "[14, 73, 25, 95, 81]\n",
      "[3, 16, 3, 23, 13]\n",
      "[8, 62, 12, 123, 57]\n",
      "[8, 32, 6, 18, 20]\n",
      "[3, 20, 3, 58, 26]\n",
      "[3, 77, 19, 102, 124]\n",
      "[3, 24, 6, 23, 72]\n",
      "[3, 33, 3, 38, 60]\n",
      "[15, 14, 1, 19, 21]\n",
      "[4, 19, 2, 45, 44]\n",
      "[1, 18, 4, 12, 14]\n",
      "[7, 29, 4, 21, 22]\n",
      "[8, 46, 6, 37, 33]\n",
      "[8, 27, 5, 19, 16]\n",
      "[2, 13, 3, 17, 25]\n",
      "[15, 146, 0, 33, 25]\n",
      "[2, 13, 5, 12, 16]\n",
      "[4, 25, 5, 19, 37]\n",
      "[3, 10, 1, 12, 17]\n",
      "[5, 48, 5, 32, 78]\n",
      "[6, 25, 4, 48, 43]\n",
      "[8, 28, 3, 28, 22]\n",
      "[5, 34, 5, 28, 56]\n",
      "[2, 16, 4, 26, 45]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "[10, 86, 17, 48, 30]\n",
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      "[6, 6, 3, 22, 15]\n",
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      "[3, 54, 14, 73, 59]\n",
      "[2, 17, 2, 27, 27]\n",
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      "[5, 33, 11, 33, 74]\n",
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      "[2, 42, 15, 40, 43]\n",
      "[5, 46, 19, 87, 95]\n",
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      "[5, 66, 17, 144, 91]\n",
      "[2, 11, 2, 20, 19]\n",
      "[20, 18, 5, 61, 58]\n",
      "[7, 35, 4, 26, 33]\n",
      "[5, 39, 7, 41, 89]\n",
      "[5, 15, 10, 30, 33]\n",
      "[2, 37, 3, 42, 36]\n",
      "[6, 46, 11, 52, 72]\n",
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      "[2, 44, 18, 45, 58]\n",
      "[3, 25, 12, 12, 16]\n",
      "[3, 32, 11, 44, 7]\n",
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      "[5, 12, 1, 0, 0]\n",
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      "[1, 22, 6, 32, 58]\n",
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      "[14, 116, 6, 40, 56]\n",
      "[1, 18, 17, 60, 29]\n",
      "[11, 64, 11, 34, 32]\n",
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      "[11, 112, 17, 62, 59]\n",
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      "[4, 22, 6, 43, 56]\n",
      "[4, 36, 6, 34, 33]\n",
      "[8, 15, 6, 25, 9]\n",
      "[9, 10, 4, 40, 28]\n",
      "[4, 14, 8, 32, 22]\n",
      "[7, 13, 4, 22, 36]\n",
      "[3, 34, 2, 21, 12]\n",
      "[3, 12, 9, 25, 19]\n",
      "[3, 8, 2, 3, 4]\n",
      "[5, 19, 5, 24, 26]\n",
      "[4, 28, 2, 13, 40]\n",
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      "[3, 32, 2, 30, 14]\n",
      "[2, 45, 11, 39, 43]\n",
      "[3, 64, 18, 87, 105]\n",
      "[9, 29, 12, 45, 42]\n",
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      "[3, 37, 8, 24, 23]\n",
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      "[2, 27, 0, 18, 32]\n",
      "[1, 0, 7, 48, 56]\n",
      "[6, 60, 0, 28, 34]\n",
      "[4, 45, 8, 64, 45]\n",
      "[5, 38, 23, 41, 29]\n",
      "[3, 16, 3, 19, 12]\n",
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      "[31, 25, 6, 38, 48]\n",
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      "[4, 44, 3, 75, 46]\n",
      "[10, 54, 2, 97, 91]\n",
      "[4, 58, 9, 73, 47]\n",
      "[2, 45, 12, 69, 47]\n",
      "[2, 15, 0, 53, 39]\n",
      "[7, 48, 8, 57, 51]\n",
      "[3, 13, 2, 12, 8]\n",
      "[5, 17, 5, 19, 14]\n",
      "[4, 12, 3, 20, 54]\n",
      "[12, 50, 18, 30, 47]\n",
      "[7, 15, 4, 26, 36]\n",
      "[9, 36, 19, 25, 44]\n",
      "[1, 6, 1, 13, 5]\n",
      "[3, 22, 5, 25, 42]\n",
      "[4, 23, 4, 22, 20]\n",
      "[3, 26, 3, 53, 28]\n",
      "[8, 31, 7, 52, 40]\n",
      "[3, 10, 5, 21, 24]\n",
      "[4, 37, 14, 42, 49]\n",
      "[1, 19, 13, 53, 64]\n",
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      "[6, 45, 9, 74, 76]\n",
      "[2, 20, 1, 37, 51]\n",
      "[4, 41, 14, 53, 97]\n",
      "[4, 9, 7, 21, 25]\n",
      "[4, 42, 5, 45, 70]\n",
      "[4, 39, 2, 85, 74]\n",
      "[2, 28, 3, 36, 56]\n",
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      "[5, 21, 6, 31, 24]\n",
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      "[4, 50, 12, 27, 49]\n",
      "[2, 37, 11, 29, 25]\n",
      "[9, 11, 9, 29, 10]\n",
      "[7, 32, 1, 13, 11]\n",
      "[2, 52, 7, 54, 40]\n",
      "[3, 36, 1, 77, 87]\n",
      "[4, 63, 9, 63, 103]\n",
      "[4, 22, 5, 49, 39]\n",
      "[3, 73, 8, 36, 35]\n",
      "[14, 43, 4, 38, 81]\n",
      "[8, 15, 10, 57, 72]\n",
      "[4, 13, 6, 20, 9]\n",
      "[9, 34, 11, 33, 42]\n",
      "[5, 6, 4, 70, 26]\n",
      "[5, 23, 6, 24, 17]\n",
      "[4, 20, 2, 13, 16]\n",
      "[4, 38, 7, 36, 41]\n",
      "[2, 23, 4, 15, 17]\n",
      "[11, 49, 9, 39, 30]\n",
      "[23, 58, 14, 86, 44]\n",
      "[1, 27, 20, 77, 53]\n",
      "[3, 25, 6, 31, 31]\n",
      "[4, 25, 4, 61, 71]\n",
      "[7, 28, 12, 120, 47]\n",
      "[4, 4, 4, 15, 17]\n",
      "[16, 32, 10, 74, 0]\n",
      "[5, 5, 0, 0, 0]\n",
      "[5, 10, 1, 0, 0]\n",
      "[9, 17, 3, 38, 18]\n",
      "[3, 35, 8, 51, 42]\n",
      "[16, 74, 27, 105, 74]\n",
      "[7, 52, 11, 32, 44]\n",
      "[1, 19, 12, 47, 44]\n",
      "[10, 56, 6, 39, 54]\n",
      "[4, 26, 4, 0, 12]\n",
      "[1, 14, 7, 26, 26]\n",
      "[8, 22, 2, 8, 24]\n",
      "[1, 25, 6, 26, 43]\n",
      "[3, 26, 3, 16, 17]\n",
      "[4, 24, 5, 12, 35]\n",
      "[7, 46, 1, 14, 26]\n",
      "[12, 45, 17, 95, 92]\n",
      "[2, 11, 7, 27, 31]\n",
      "[15, 43, 5, 67, 132]\n",
      "[10, 75, 23, 64, 17]\n",
      "[5, 42, 8, 21, 15]\n",
      "[6, 30, 7, 20, 42]\n",
      "[13, 42, 2, 17, 34]\n",
      "[14, 13, 4, 21, 39]\n",
      "[2, 22, 9, 3, 20]\n",
      "[1, 25, 7, 20, 27]\n",
      "[2, 5, 2, 33, 23]\n",
      "[9, 22, 7, 88, 90]\n",
      "[5, 29, 5, 39, 39]\n",
      "[28, 78, 1, 27, 4]\n",
      "[8, 48, 18, 38, 54]\n",
      "[14, 30, 7, 40, 76]\n",
      "[7, 36, 9, 55, 60]\n",
      "[4, 5, 15, 35, 0]\n",
      "[1, 55, 9, 49, 41]\n",
      "[3, 53, 16, 50, 62]\n",
      "[7, 18, 6, 33, 17]\n",
      "[9, 97, 19, 86, 37]\n",
      "[2, 25, 1, 6, 20]\n",
      "[6, 40, 0, 33, 30]\n",
      "[11, 5, 0, 16, 8]\n",
      "[3, 9, 6, 21, 46]\n",
      "[2, 25, 1, 12, 29]\n",
      "[4, 18, 3, 39, 15]\n",
      "[5, 32, 10, 43, 41]\n",
      "[7, 14, 11, 15, 38]\n",
      "[8, 93, 15, 41, 49]\n",
      "[3, 19, 0, 5, 25]\n",
      "[1, 27, 22, 105, 67]\n",
      "[2, 52, 8, 116, 59]\n",
      "[1, 47, 12, 66, 74]\n",
      "[1, 32, 2, 33, 51]\n",
      "[4, 30, 9, 58, 51]\n",
      "[16, 84, 19, 89, 111]\n",
      "[5, 34, 7, 28, 20]\n",
      "[5, 19, 4, 21, 16]\n",
      "[11, 25, 9, 37, 26]\n",
      "[20, 93, 7, 0, 15]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "[16, 33, 3, 15, 25]\n",
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      "[12, 37, 10, 46, 24]\n",
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      "[10, 18, 3, 18, 20]\n",
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      "[2, 36, 13, 15, 11]\n",
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      "[2, 22, 16, 19, 19]\n",
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      "[14, 28, 3, 39, 43]\n",
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      "[2, 50, 6, 37, 66]\n",
      "[15, 60, 39, 92, 81]\n",
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      "[1, 15, 5, 0, 14]\n",
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      "[3, 37, 1, 16, 20]\n",
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      "[3, 14, 6, 12, 25]\n",
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      "[2, 27, 3, 63, 109]\n",
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      "[14, 34, 9, 39, 32]\n",
      "[3, 9, 2, 18, 24]\n",
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      "[2, 66, 17, 62, 21]\n",
      "[2, 41, 9, 66, 4]\n",
      "[3, 17, 9, 6, 17]\n",
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      "[3, 24, 11, 44, 35]\n",
      "[6, 24, 9, 15, 36]\n",
      "[2, 54, 9, 70, 0]\n",
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      "[13, 178, 0, 0, 0]\n",
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      "[2, 42, 9, 54, 48]\n",
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      "[17, 25, 0, 0, 0]\n",
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      "[10, 21, 3, 30, 26]\n",
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      "[4, 14, 2, 39, 26]\n",
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      "[3, 30, 6, 42, 24]\n",
      "[3, 26, 3, 33, 30]\n",
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      "[4, 29, 6, 41, 26]\n",
      "[13, 37, 7, 55, 55]\n",
      "[6, 22, 11, 34, 23]\n",
      "[5, 47, 17, 51, 62]\n",
      "[10, 38, 2, 42, 35]\n",
      "[2, 27, 10, 23, 21]\n",
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      "[5, 43, 0, 34, 16]\n",
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      "[1, 35, 4, 56, 74]\n",
      "[1, 38, 2, 48, 40]\n",
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      "[3, 33, 5, 33, 42]\n",
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      "[4, 25, 6, 24, 29]\n",
      "[4, 19, 6, 40, 32]\n",
      "[5, 47, 8, 48, 42]\n",
      "[8, 65, 7, 50, 26]\n",
      "[4, 71, 5, 55, 42]\n",
      "[5, 27, 6, 23, 27]\n",
      "[2, 23, 7, 216, 141]\n",
      "[4, 30, 11, 44, 53]\n",
      "[9, 49, 15, 51, 130]\n",
      "[4, 28, 9, 37, 57]\n",
      "[6, 10, 11, 24, 30]\n",
      "[8, 23, 9, 38, 21]\n",
      "[5, 21, 5, 8, 28]\n",
      "[6, 142, 20, 31, 23]\n",
      "[22, 80, 6, 23, 29]\n",
      "[19, 68, 13, 36, 45]\n",
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      "[3, 27, 11, 32, 31]\n",
      "[8, 20, 5, 35, 19]\n",
      "[9, 67, 9, 144, 94]\n",
      "[1, 28, 3, 62, 29]\n",
      "[9, 17, 4, 26, 25]\n",
      "[6, 35, 12, 51, 46]\n",
      "[10, 70, 11, 30, 48]\n",
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      "[11, 21, 3, 28, 27]\n",
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      "[3, 8, 0, 8, 10]\n",
      "[4, 31, 3, 20, 25]\n",
      "[2, 33, 18, 3, 3]\n",
      "[4, 64, 22, 96, 107]\n",
      "[2, 11, 3, 13, 12]\n",
      "[4, 38, 10, 51, 64]\n",
      "[3, 41, 15, 25, 38]\n",
      "[7, 29, 8, 25, 21]\n",
      "[3, 48, 12, 46, 97]\n",
      "[1, 32, 6, 28, 21]\n",
      "[1, 21, 6, 16, 32]\n",
      "[1, 7, 2, 12, 16]\n",
      "[5, 37, 16, 49, 33]\n",
      "[5, 21, 0, 7, 8]\n",
      "[3, 34, 2, 9, 33]\n",
      "[7, 55, 8, 26, 46]\n",
      "[2, 17, 3, 20, 21]\n",
      "[2, 39, 5, 35, 56]\n",
      "[6, 30, 5, 22, 50]\n",
      "[23, 184, 45, 35, 0]\n",
      "[5, 35, 9, 37, 26]\n",
      "[3, 9, 3, 23, 19]\n",
      "[3, 59, 6, 19, 17]\n",
      "[3, 24, 2, 38, 11]\n",
      "[5, 11, 1, 28, 56]\n",
      "[2, 19, 3, 23, 10]\n",
      "[3, 18, 1, 30, 28]\n",
      "[4, 7, 2, 7, 6]\n",
      "[7, 34, 5, 22, 0]\n",
      "[2, 40, 9, 58, 42]\n",
      "[3, 28, 11, 57, 51]\n",
      "[3, 30, 10, 29, 46]\n",
      "[7, 47, 6, 38, 33]\n",
      "[3, 46, 11, 62, 75]\n",
      "[10, 82, 29, 104, 109]\n",
      "[3, 49, 13, 56, 35]\n",
      "[2, 18, 12, 23, 23]\n",
      "[6, 37, 6, 34, 63]\n",
      "[2, 19, 10, 45, 40]\n",
      "[2, 30, 4, 17, 43]\n",
      "[3, 30, 3, 35, 24]\n",
      "[5, 37, 2, 36, 35]\n",
      "[2, 12, 4, 21, 27]\n",
      "[8, 39, 9, 60, 24]\n",
      "[10, 67, 14, 52, 8]\n",
      "[2, 30, 4, 53, 64]\n",
      "[2, 11, 2, 2, 7]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "[0, 19, 3, 9, 12]\n",
      "[0, 5, 2, 10, 4]\n",
      "[0, 29, 5, 62, 79]\n",
      "[0, 16, 0, 34, 37]\n",
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      "[0, 0, 0, 61, 98]\n",
      "[0, 0, 0, 25, 58]\n",
      "[0, 0, 0, 59, 101]\n",
      "[0, 0, 0, 8, 19]\n",
      "[0, 0, 0, 15, 49]\n",
      "[0, 0, 0, 2, 21]\n",
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      "[0, 0, 0, 0, 5]\n",
      "[0, 0, 0, 0, 29]\n",
      "[0, 0, 0, 0, 17]\n",
      "[0, 0, 0, 0, 17]\n",
      "[0, 0, 0, 0, 13]\n",
      "[0, 0, 0, 0, 12]\n",
      "[0, 0, 0, 0, 14]\n",
      "[0, 0, 0, 0, 0]\n",
      "[0, 0, 0, 0, 0]\n",
      "[0, 0, 0, 0, 0]\n"
     ]
    }
   ],
   "source": [
    "end = dt.datetime(2021, 1, 1, 0, 0, 0)\n",
    "full_list = []\n",
    "\n",
    "for name in atm_list:\n",
    "    s = data[data[\"ATM ID\"] == name]\n",
    "    monthly_count = []\n",
    "    month = 8\n",
    "    month_start = dt.datetime(2020, month, 1, 0, 0, 0)\n",
    "    month_end = dt.datetime(2020, (month+1), 1, 0, 0, 0)\n",
    "    while month_end <= end:\n",
    "        s1 = s[s[\"Start\"] >= month_start]\n",
    "        s1 = s1[s1[\"Start\"] < month_end]\n",
    "        monthly_count.append(s1.shape[0])\n",
    "        month = month + 1\n",
    "        month_start = month_end\n",
    "        if month<12:\n",
    "            month_end = dt.datetime(2020, (month+1), 1, 0, 0, 0)\n",
    "        elif month == 12:\n",
    "            month_end = dt.datetime(2021, 1, 1, 0, 0, 0)\n",
    "        else:\n",
    "            break\n",
    "    print(monthly_count)       \n",
    "    full_list.append(monthly_count)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "count = pd.DataFrame(full_list)\n",
    "count.index = atm_list\n",
    "count.columns = [\"Month {}\".format(i+1) for i in range(count.shape[1])]\n",
    "count\n",
    "count.to_csv(\"Monthly error.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Month 1</th>\n",
       "      <th>Month 2</th>\n",
       "      <th>Month 3</th>\n",
       "      <th>Month 4</th>\n",
       "      <th>Month 5</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ATM ID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1FWBDN25</th>\n",
       "      <td>8</td>\n",
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       "      <td>7</td>\n",
       "      <td>36</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1RDDGKP02</th>\n",
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       "      <td>12</td>\n",
       "      <td>93</td>\n",
       "      <td>102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1RDDHMP01</th>\n",
       "      <td>9</td>\n",
       "      <td>11</td>\n",
       "      <td>2</td>\n",
       "      <td>60</td>\n",
       "      <td>48</td>\n",
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       "    <tr>\n",
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       "    <tr>\n",
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       "      <td>12</td>\n",
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       "    <tr>\n",
       "      <th>1FWBSK06</th>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1CRHRJJA01</th>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1FDBOM325</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3958 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Month 1  Month 2  Month 3  Month 4  Month 5\n",
       "ATM ID                                                 \n",
       "1FWBDN25          8       45        7       36       59\n",
       "1RDDGKP02        20       89       12       93      102\n",
       "1RDDHMP01         9       11        2       60       48\n",
       "1RDDKAN01         7       68       11       92       93\n",
       "1RDDLUC13        11       75       14       47       73\n",
       "...             ...      ...      ...      ...      ...\n",
       "1VD502001         0        0        0        0       12\n",
       "1FWBSK06          0        0        0        0       14\n",
       "1FNAHM117         0        0        0        0        0\n",
       "1CRHRJJA01        0        0        0        0        0\n",
       "1FDBOM325         0        0        0        0        0\n",
       "\n",
       "[3958 rows x 5 columns]"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "count = pd.read_csv(\"Monthly error.csv\")\n",
    "count = count.rename(columns = {count.columns[0]: \"ATM ID\"})\n",
    "count = count.set_index(\"ATM ID\")\n",
    "count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Month 1</th>\n",
       "      <th>Month 2</th>\n",
       "      <th>Month 3</th>\n",
       "      <th>Month 4</th>\n",
       "      <th>Monthly Avg Ticket</th>\n",
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       "      <th>ATM ID</th>\n",
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       "    </tr>\n",
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       "    <tr>\n",
       "      <th>1RDDHMP01</th>\n",
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       "      <td>92</td>\n",
       "      <td>44.50</td>\n",
       "    </tr>\n",
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       "      <th>1RDDLUC13</th>\n",
       "      <td>11</td>\n",
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       "      <td>36.75</td>\n",
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       "    <tr>\n",
       "      <th>1VD502001</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1FWBSK06</th>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>1FNAHM117</th>\n",
       "      <td>0</td>\n",
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       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1CRHRJJA01</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1FDBOM325</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3958 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Month 1  Month 2  Month 3  Month 4  Monthly Avg Ticket\n",
       "ATM ID                                                            \n",
       "1FWBDN25          8       45        7       36               24.00\n",
       "1RDDGKP02        20       89       12       93               53.50\n",
       "1RDDHMP01         9       11        2       60               20.50\n",
       "1RDDKAN01         7       68       11       92               44.50\n",
       "1RDDLUC13        11       75       14       47               36.75\n",
       "...             ...      ...      ...      ...                 ...\n",
       "1VD502001         0        0        0        0                0.00\n",
       "1FWBSK06          0        0        0        0                0.00\n",
       "1FNAHM117         0        0        0        0                0.00\n",
       "1CRHRJJA01        0        0        0        0                0.00\n",
       "1FDBOM325         0        0        0        0                0.00\n",
       "\n",
       "[3958 rows x 5 columns]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "count[\"Monthly Avg Error\"] = round(count.mean(axis = 1),3)\n",
    "count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3439, 5)"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "count[count[\"Monthly Avg Ticket\"]<=40].shape"
   ]
  }
 ],
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