{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "todPlan = pd.read_excel('todPlan.xlsx')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>location_id</th>\n",
       "      <th>todPlan_index</th>\n",
       "      <th>todPlan_data</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0,0,160,136,42,42,42,42,12,12,30,30,34,34,0,0,...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   location_id  todPlan_index  \\\n",
       "2            2              0   \n",
       "\n",
       "                                        todPlan_data  \n",
       "2  0,0,160,136,42,42,42,42,12,12,30,30,34,34,0,0,...  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "location_id = 2\n",
    "todPlan_index = 0\n",
    "the_todPlan = todPlan[(todPlan.location_id==location_id)&(todPlan.todPlan_index==todPlan_index)]\n",
    "display(the_todPlan)\n",
    "row = the_todPlan.iloc[0]\n",
    "data = row.todPlan_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 0\n",
      "0,0,160,132,60,60,34,34,16,16,50,50,0,0,0,0,0,0,0,0,6,0,180,152,66,66,43,43,23,23,48,48,0,0,0,0,0,0,0,0,10,0,170,142,68,68,36,36,18,18,48,48,0,0,0,0,0,0,0,0,16,0,180,152,70,70,43,43,22,22,45,45,0,0,0,0,0,0,0,0\n",
      "80\n",
      "1 1\n",
      "0,0,160,132,60,60,34,34,16,16,50,50,0,0,0,0,0,0,0,0,6,0,180,152,70,70,40,40,20,20,50,50,0,0,0,0,0,0,0,0\n",
      "40\n",
      "2 0\n",
      "0,0,160,136,42,42,42,42,12,12,30,30,34,34,0,0,0,0,0,0,6,0,180,156,44,44,57,57,15,15,30,30,34,34,0,0,0,0,0,0,7,30,180,156,40,40,53,53,15,15,30,30,42,42,0,0,0,0,0,0,9,0,180,156,44,44,57,57,15,15,30,30,34,34,0,0,0,0,0,0,10,0,170,146,44,44,50,50,12,12,30,30,34,34,0,0,0,0,0,0,16,0,180,156,44,44,52,52,20,20,30,30,34,34,0,0,0,0,0,0\n",
      "120\n",
      "2 1\n",
      "0,0,160,136,42,42,42,42,12,12,30,30,34,34,0,0,0,0,0,0,6,0,180,156,44,44,57,57,15,15,30,30,34,34,0,0,0,0,0,0,7,30,180,156,40,40,53,53,15,15,30,30,42,42,0,0,0,0,0,0,9,0,180,156,44,44,57,57,15,15,30,30,34,34,0,0,0,0,0,0\n",
      "80\n",
      "3 1\n",
      "0,0,160,125,75,75,25,25,40,40,20,20,0,0,0,0,0,0,0,0,6,0,180,155,85,85,35,35,40,40,20,20,0,0,0,0,0,0,0,0\n",
      "40\n",
      "3 0\n",
      "0,0,160,125,75,75,25,25,40,40,20,20,0,0,0,0,0,0,0,0,6,0,180,150,85,85,35,35,40,40,20,20,0,0,0,0,0,0,0,0,10,0,170,140,85,85,25,25,40,40,20,20,0,0,0,0,0,0,0,0,16,0,180,153,85,85,35,35,40,40,20,20,0,0,0,0,0,0,0,0\n",
      "80\n",
      "4 0\n",
      "0,0,160,115,40,40,65,65,20,20,35,35,0,0,0,0,0,0,0,0,6,0,180,133,47,47,68,68,30,30,35,35,0,0,0,0,0,0,0,0,10,0,170,120,45,45,73,73,17,17,35,35,0,0,0,0,0,0,0,0,16,0,180,130,45,45,70,70,25,25,40,40,0,0,0,0,0,0,0,0\n",
      "80\n",
      "4 1\n",
      "0,0,160,115,40,40,65,65,20,20,35,35,0,0,0,0,0,0,0,0,6,0,180,125,50,50,65,65,30,30,35,35,0,0,0,0,0,0,0,0\n",
      "40\n",
      "5 1\n",
      "6,0,140,70,67,67,18,18,18,18,37,37,0,0,0,0,0,0,0,0\n",
      "20\n",
      "5 0\n",
      "6,0,140,70,67,67,18,18,18,18,37,37,0,0,0,0,0,0,0,0\n",
      "20\n"
     ]
    }
   ],
   "source": [
    "for i in range(10):\n",
    "    print(todPlan.iloc[i].location_id, todPlan.iloc[i].todPlan_index)\n",
    "    print(todPlan.iloc[i].todPlan_data)\n",
    "    plan = todPlan.iloc[i].todPlan_data.split(',')\n",
    "    print(len(plan))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 80\n",
      "1 40\n",
      "2 120\n",
      "3 80\n",
      "4 40\n",
      "5 80\n",
      "6 80\n",
      "7 40\n",
      "8 20\n",
      "9 20\n",
      "10 320\n",
      "11 320\n",
      "12 320\n",
      "13 320\n",
      "14 20\n",
      "15 40\n",
      "16 60\n",
      "17 20\n",
      "18 20\n",
      "19 20\n",
      "20 40\n",
      "21 40\n",
      "22 80\n",
      "23 40\n",
      "24 40\n",
      "25 100\n",
      "26 320\n",
      "27 320\n",
      "28 40\n",
      "29 80\n",
      "30 20\n",
      "31 320\n",
      "32 320\n",
      "33 320\n",
      "34 320\n",
      "35 320\n",
      "36 320\n",
      "37 320\n",
      "38 320\n",
      "39 320\n",
      "40 320\n",
      "41 320\n",
      "42 320\n",
      "43 320\n",
      "44 80\n",
      "45 40\n",
      "46 20\n",
      "47 20\n",
      "48 40\n",
      "49 320\n"
     ]
    }
   ],
   "source": [
    "for i in range(50):\n",
    "    plan = todPlan.iloc[i].todPlan_data.split(',')\n",
    "    print(i, len(plan))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "120"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plan = data.split(',')\n",
    "len(plan)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "siggen_env",
   "language": "python",
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  "language_info": {
   "codemirror_mode": {
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   "file_extension": ".py",
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