data_preprocessing.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "elec_data = np.genfromtxt(\"data/elec_final_data_hackathon.csv\", delimiter=\",\")\n",
    "elec_data_s = np.genfromtxt(\"data/elec_final_data_hackathon.csv\", delimiter=\",\", dtype = str)\n",
    "1+1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "wtr_data = np.genfromtxt(\"data/water_final_data_hackathon.csv\", delimiter=\",\")\n",
    "wtr_data_s = np.genfromtxt(\"data/water_final_data_hackathon.csv\", delimiter=\",\", dtype = str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [],
   "source": [
    "weather_data = np.genfromtxt(\"data/2017-2020_weather_data.csv\", delimiter=\",\")\n",
    "weather_data_s = np.genfromtxt(\"data/2017-2020_weather_data.csv\", delimiter=\",\", dtype = str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [],
   "source": [
    "#taking a sample of the data (so code runs faster!)\n",
    "sample_size = 1000\n",
    "small_elec_data = elec_data[0:sample_size]\n",
    "small_elec_data_s = elec_data_s[0:sample_size]\n",
    "small_wtr_data = wtr_data[0:sample_size]\n",
    "small_wtr_data_s = wtr_data_s[0:sample_size]\n",
    "small_weather_data = weather_data[0:]\n",
    "small_weather_data_s = weather_data_s[0:]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "time_parsed_data = [year, month, day, hour,houseid, elec usage, solarpanel usage]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
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      "['2017' '06' '05' '22' '59.0' '0.664' '0.0']\n",
      "['2017' '06' '06' '00' '59.0' '0.5589999999999999' '0.0']\n",
      "['2017' '06' '06' '02' '59.0' '0.5770000000000001' '0.0']\n",
      "['2017' '06' '06' '03' '59.0' '0.6559999999999999' '0.0']\n",
      "['2017' '06' '06' '07' '59.0' '0.93' '0.0']\n",
      "['2017' '06' '06' '08' '59.0' '1.348' '0.0']\n",
      "['2017' '06' '06' '13' '59.0' '2.6910000000000003' '0.0']\n",
      "['2017' '06' '06' '15' '59.0' '1.8630000000000002' '0.0']\n",
      "['2017' '06' '06' '17' '59.0' '4.551' '0.0']\n",
      "['2017' '06' '07' '00' '59.0' '1.001' '0.0']\n",
      "['2017' '06' '07' '02' '59.0' '0.777' '0.0']\n",
      "['2017' '06' '07' '04' '59.0' '0.66' '0.0']\n",
      "['2017' '06' '07' '07' '59.0' '0.835' '0.0']\n",
      "['2017' '06' '07' '12' '59.0' '2.91' '0.0']\n",
      "['2017' '06' '07' '21' '59.0' '1.8330000000000002' '0.0']\n",
      "['2017' '06' '07' '22' '59.0' '1.232' '0.0']\n",
      "['2017' '06' '08' '00' '59.0' '0.956' '0.0']\n",
      "['2017' '06' '08' '01' '59.0' '0.9390000000000001' '0.0']\n",
      "['2017' '06' '08' '08' '59.0' '1.179' '0.0']\n",
      "['2017' '06' '08' '12' '59.0' '1.266' '0.0']\n",
      "['2017' '06' '08' '15' '59.0' '0.75' '0.0']\n",
      "['2017' '06' '08' '17' '59.0' '0.778' '0.0']\n",
      "['2017' '06' '08' '23' '59.0' '0.589' '0.0']\n",
      "['2017' '06' '09' '00' '59.0' '0.603' '0.0']\n",
      "['2017' '06' '09' '04' '59.0' '0.598' '0.0']\n",
      "['2017' '06' '09' '12' '59.0' '1.252' '0.0']\n",
      "['2017' '06' '09' '14' '59.0' '0.757' '0.0']\n",
      "['2017' '06' '09' '16' '59.0' '0.753' '0.0']\n",
      "['2017' '06' '09' '21' '59.0' '0.57' '0.0']\n",
      "['2017' '06' '09' '23' '59.0' '0.621' '0.0']\n",
      "['2017' '06' '10' '02' '59.0' '0.614' '0.0']\n",
      "['2017' '06' '10' '08' '59.0' '0.862' '0.0']\n",
      "['2017' '06' '10' '12' '59.0' '1.263' '0.0']\n",
      "['2017' '06' '10' '15' '59.0' '0.76' '0.0']\n",
      "['2017' '06' '10' '21' '59.0' '0.5760000000000001' '0.0']\n",
      "['2017' '06' '11' '00' '59.0' '0.569' '0.0']\n",
      "['2017' '06' '11' '04' '59.0' '0.622' '0.0']\n",
      "['2017' '06' '11' '09' '59.0' '0.75' '0.0']\n",
      "['2017' '06' '11' '12' '59.0' '1.258' '0.0']\n",
      "['2017' '06' '11' '15' '59.0' '0.757' '0.0']\n",
      "['2017' '06' '12' '02' '59.0' '0.5820000000000001' '0.0']\n",
      "['2017' '06' '12' '06' '59.0' '0.601' '0.0']\n",
      "['2017' '06' '12' '09' '59.0' '0.8079999999999999' '0.0']\n",
      "['2017' '06' '12' '15' '59.0' '0.748' '0.0']\n",
      "['2017' '06' '12' '16' '59.0' '0.747' '0.0']\n",
      "['2017' '06' '12' '18' '59.0' '3.1039999999999996' '0.0']\n",
      "['2017' '06' '12' '23' '59.0' '2.935' '0.0']\n",
      "['2017' '06' '13' '06' '59.0' '1.205' '0.0']\n",
      "['2017' '06' '13' '07' '59.0' '1.324' '0.0']\n",
      "['2017' '06' '13' '09' '59.0' '3.9589999999999996' '0.0']\n",
      "['2017' '06' '13' '13' '59.0' '3.0660000000000003' '0.0']\n",
      "['2017' '06' '13' '15' '59.0' '2.463' '0.0']\n",
      "['2017' '06' '13' '16' '59.0' '2.897' '0.0']\n",
      "['2017' '06' '13' '17' '59.0' '2.576' '0.0']\n",
      "['2017' '06' '13' '23' '59.0' '2.033' '0.0']\n",
      "['2017' '06' '14' '06' '59.0' '1.249' '0.0']\n",
      "['2017' '06' '14' '07' '59.0' '1.652' '0.0']\n",
      "['2017' '06' '14' '19' '59.0' '1.976' '0.0']\n",
      "['2017' '06' '14' '20' '59.0' '3.911' '0.0']\n",
      "['2017' '06' '14' '21' '59.0' '1.865' '0.0']\n",
      "['2017' '06' '14' '23' '59.0' '1.345' '0.0']\n",
      "['2017' '06' '15' '02' '59.0' '1.075' '0.0']\n",
      "['2017' '06' '15' '07' '59.0' '1.331' '0.0']\n",
      "['2017' '06' '15' '09' '59.0' '2.022' '0.0']\n",
      "['2017' '06' '15' '12' '59.0' '3.201' '0.0']\n",
      "['2017' '06' '15' '18' '59.0' '3.866' '0.0']\n",
      "['2017' '06' '15' '23' '59.0' '1.835' '0.0']\n",
      "['2017' '06' '16' '00' '59.0' '1.528' '0.0']\n",
      "['2017' '06' '16' '01' '59.0' '0.929' '0.0']\n",
      "['2017' '06' '16' '07' '59.0' '1.29' '0.0']\n",
      "['2017' '06' '16' '12' '59.0' '1.4980000000000002' '0.0']\n",
      "['2017' '06' '16' '20' '59.0' '3.097' '0.0']\n",
      "['2017' '06' '16' '21' '59.0' '2.7939999999999996' '0.0']\n",
      "['2017' '06' '16' '22' '59.0' '2.401' '0.0']\n",
      "['2017' '06' '17' '05' '59.0' '1.122' '0.0']\n",
      "['2017' '06' '17' '12' '59.0' '3.667' '0.0']\n",
      "['2017' '06' '17' '13' '59.0' '3.41' '0.0']\n",
      "['2017' '06' '17' '17' '59.0' '3.266' '0.0']\n",
      "['2017' '06' '17' '23' '59.0' '1.429' '0.0']\n",
      "['2017' '06' '18' '00' '59.0' '1.597' '0.0']\n",
      "['2017' '06' '18' '05' '59.0' '1.137' '0.0']\n",
      "['2017' '06' '18' '08' '59.0' '2.463' '0.0']\n",
      "['2017' '06' '18' '12' '59.0' '4.883' '0.0']\n",
      "['2017' '06' '18' '13' '59.0' '3.739' '0.0']\n",
      "['2017' '06' '18' '15' '59.0' '3.88' '0.0']\n",
      "['2017' '06' '18' '17' '59.0' '3.792' '0.0']\n",
      "['2017' '06' '18' '21' '59.0' '3.0060000000000002' '0.0']\n",
      "['2017' '06' '18' '22' '59.0' '2.707' '0.0']\n"
     ]
    }
   ],
   "source": [
    "#ELECTRICITY\n",
    "#go from '2017-01-01 02:00:00-06' -> separate\n",
    "time_parsed_data = np.zeros([sample_size,7])\n",
    "#iter truncated dataset\n",
    "for i in range(1,sample_size):\n",
    "    time1 = small_elec_data_s[i][0]\n",
    "    [ymd,hmm] = time1.split()\n",
    "    [y,m,d] = ymd.split('-')\n",
    "    [h,min,sec] = hmm.split(\":\")\n",
    "    temp = small_elec_data[i][1:]\n",
    "    temp2 = np.concatenate(([y,m,d,h],temp))\n",
    "    print(temp2)\n",
    "    time_parsed_data[i,:] = temp2\n",
    "np.savetxt(\"data/1000_elec_data.csv\", time_parsed_data, delimiter=',')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([['hourly_time', 'home_id', 'hourly_gal'],\n",
       "       ['2017-09-04 15:00:00-05', '59.0', '72.832'],\n",
       "       ['2017-09-05 07:00:00-05', '59.0', '75.031'],\n",
       "       ...,\n",
       "       ['2018-04-07 11:00:00-05', '59.0', '3.8289999999999997'],\n",
       "       ['2018-04-07 12:00:00-05', '59.0', '2.611'],\n",
       "       ['2018-04-07 14:00:00-05', '59.0', '6.978']], dtype='<U22')"
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "small_wtr_data_s"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['2017' '09' '04' '15' '59.0' '72.832']\n",
      "['2017' '09' '05' '07' '59.0' '75.031']\n",
      "['2017' '09' '05' '13' '59.0' '0.0']\n",
      "['2017' '09' '05' '17' '59.0' '0.0']\n",
      "['2017' '09' '06' '18' '59.0' '3.513']\n",
      "['2017' '09' '07' '01' '59.0' '33.655']\n",
      "['2017' '09' '08' '09' '59.0' '295.411']\n",
      "['2017' '09' '08' '14' '59.0' '5.443']\n",
      "['2017' '09' '08' '18' '59.0' '6.962000000000001']\n",
      "['2017' '09' '09' '10' '59.0' '0.0']\n",
      "['2017' '09' '09' '18' '59.0' '0.0']\n",
      "['2017' '09' '09' '19' '59.0' '0.0']\n",
      "['2017' '09' '09' '22' '59.0' '0.0']\n",
      "['2017' '09' '10' '08' '59.0' '0.41100000000000003']\n",
      "['2017' '09' '10' '09' '59.0' '0.522']\n",
      "['2017' '09' '10' '11' '59.0' '6.281000000000001']\n",
      "['2017' '09' '10' '16' '59.0' '32.626999999999995']\n",
      "['2017' '09' '11' '05' '59.0' '38.924']\n",
      "['2017' '09' '11' '09' '59.0' '28.006']\n",
      "['2017' '09' '11' '10' '59.0' '34.826']\n",
      "['2017' '09' '11' '15' '59.0' '16.867']\n",
      "['2017' '09' '11' '16' '59.0' '10.776']\n",
      "['2017' '09' '11' '18' '59.0' '7.216']\n",
      "['2017' '09' '11' '21' '59.0' '17.326']\n",
      "['2017' '09' '11' '22' '59.0' '8.655']\n",
      "['2017' '09' '11' '23' '59.0' '4.794']\n",
      "['2017' '09' '12' '10' '59.0' '14.177']\n",
      "['2017' '09' '12' '12' '59.0' '6.803999999999999']\n",
      "['2017' '09' '12' '16' '59.0' '50.143']\n",
      "['2017' '09' '13' '07' '59.0' '107.911']\n",
      "['2017' '09' '13' '13' '59.0' '4.62']\n",
      "['2017' '09' '13' '15' '59.0' '29.636']\n",
      "['2017' '09' '14' '08' '59.0' '2.1519999999999997']\n",
      "['2017' '09' '14' '17' '59.0' '6.7410000000000005']\n",
      "['2017' '09' '15' '16' '59.0' '3.3710000000000004']\n",
      "['2017' '09' '16' '11' '59.0' '8.592']\n",
      "['2017' '09' '16' '18' '59.0' '10.206']\n",
      "['2017' '09' '16' '20' '59.0' '3.909']\n",
      "['2017' '09' '16' '22' '59.0' '13.275']\n",
      "['2017' '09' '17' '10' '59.0' '71.361']\n",
      "['2017' '09' '17' '17' '59.0' '9.905']\n",
      "['2017' '09' '18' '07' '59.0' '11.312999999999999']\n",
      "['2017' '09' '18' '09' '59.0' '51.391999999999996']\n",
      "['2017' '09' '18' '12' '59.0' '15.315999999999999']\n",
      "['2017' '09' '18' '15' '59.0' '4.082']\n",
      "['2017' '09' '18' '16' '59.0' '17.516']\n",
      "['2017' '09' '18' '19' '59.0' '35.965']\n",
      "['2017' '09' '18' '21' '59.0' '5.111000000000001']\n",
      "['2017' '09' '19' '00' '59.0' '31.883000000000003']\n",
      "['2017' '09' '19' '08' '59.0' '12.294']\n",
      "['2017' '09' '19' '09' '59.0' '20.997']\n",
      "['2017' '09' '19' '12' '59.0' '11.535']\n",
      "['2017' '09' '19' '13' '59.0' '11.075999999999999']\n",
      "['2017' '09' '19' '14' '59.0' '9.05']\n",
      "['2017' '09' '19' '21' '59.0' '304.509']\n",
      "['2017' '09' '20' '08' '59.0' '10.633']\n",
      "['2017' '09' '20' '10' '59.0' '41.867']\n",
      "['2017' '09' '20' '11' '59.0' '3.339']\n",
      "['2017' '09' '20' '15' '59.0' '7.0729999999999995']\n",
      "['2017' '09' '21' '07' '59.0' '142.215']\n",
      "['2017' '09' '21' '17' '59.0' '13.434000000000001']\n",
      "['2017' '09' '21' '22' '59.0' '12.675']\n",
      "['2017' '09' '22' '06' '59.0' '42.183']\n",
      "['2017' '09' '22' '07' '59.0' '24.936999999999998']\n",
      "['2017' '09' '22' '09' '59.0' '5.681']\n",
      "['2017' '09' '22' '12' '59.0' '7.579']\n",
      "['2017' '09' '22' '17' '59.0' '19.24']\n",
      "['2017' '09' '22' '19' '59.0' '10.095']\n",
      "['2017' '09' '22' '20' '59.0' '12.104000000000001']\n",
      "['2017' '09' '23' '07' '59.0' '90.854']\n",
      "['2017' '09' '23' '09' '59.0' '16.535']\n",
      "['2017' '09' '23' '12' '59.0' '13.290999999999999']\n",
      "['2017' '09' '23' '16' '59.0' '15.728']\n",
      "['2017' '09' '23' '20' '59.0' '13.956']\n",
      "['2017' '09' '24' '08' '59.0' '132.531']\n",
      "['2017' '09' '24' '19' '59.0' '227.674']\n",
      "['2017' '09' '25' '10' '59.0' '83.512']\n",
      "['2017' '09' '25' '16' '59.0' '16.741']\n",
      "['2017' '09' '26' '14' '59.0' '16.424']\n",
      "['2017' '09' '26' '15' '59.0' '16.772000000000002']\n",
      "['2017' '09' '26' '16' '59.0' '17.342']\n",
      "['2017' '09' '26' '18' '59.0' '25.0']\n",
      "['2017' '09' '26' '21' '59.0' '23.623']\n",
      "['2017' '09' '26' '22' '59.0' '17.832']\n",
      "['2017' '09' '27' '16' '59.0' '16.994']\n",
      "['2017' '09' '27' '18' '59.0' '14.684000000000001']\n",
      "['2017' '09' '27' '19' '59.0' '15.807']\n",
      "['2017' '09' '27' '21' '59.0' '23.719']\n",
      "['2017' '09' '28' '07' '59.0' '34.32']\n",
      "['2017' '09' '28' '13' '59.0' '33.623000000000005']\n",
      "['2017' '09' '28' '21' '59.0' '20.237000000000002']\n",
      "['2017' '09' '29' '03' '59.0' '22.261999999999997']\n",
      "['2017' '09' '29' '12' '59.0' '19.399']\n",
      "['2017' '09' '29' '18' '59.0' '20.0']\n",
      "['2017' '09' '29' '19' '59.0' '20.079']\n",
      "['2017' '09' '29' '20' '59.0' '20.111']\n",
      "['2017' '09' '29' '23' '59.0' '20.237000000000002']\n",
      "['2017' '09' '30' '04' '59.0' '20.221']\n",
      "['2017' '09' '30' '05' '59.0' '20.855']\n",
      "['2017' '09' '30' '06' '59.0' '20.585']\n",
      "['2017' '09' '30' '13' '59.0' '21.313000000000002']\n",
      "['2017' '09' '30' '14' '59.0' '21.313000000000002']\n",
      "['2017' '09' '30' '16' '59.0' '21.234']\n",
      "['2017' '09' '30' '19' '59.0' '21.36']\n",
      "['2017' '09' '30' '20' '59.0' '21.219']\n",
      "['2017' '09' '30' '21' '59.0' '21.201999999999998']\n",
      "['2017' '10' '01' '00' '59.0' '21.266']\n",
      "['2017' '10' '01' '02' '59.0' '21.203000000000003']\n",
      "['2017' '10' '01' '05' '59.0' '21.219']\n",
      "['2017' '10' '01' '13' '59.0' '21.439']\n",
      "['2017' '10' '01' '14' '59.0' '18.656']\n",
      "['2017' '10' '01' '17' '59.0' '23.877']\n",
      "['2017' '10' '01' '18' '59.0' '24.951999999999998']\n",
      "['2017' '10' '02' '00' '59.0' '23.195999999999998']\n",
      "['2017' '10' '02' '08' '59.0' '25.079']\n",
      "['2017' '10' '02' '12' '59.0' '35.665']\n",
      "['2017' '10' '03' '20' '59.0' '21.756']\n",
      "['2017' '10' '03' '23' '59.0' '21.566999999999997']\n",
      "['2017' '10' '04' '01' '59.0' '21.377']\n",
      "['2017' '10' '04' '06' '59.0' '26.899']\n",
      "['2017' '10' '04' '07' '59.0' '21.645']\n",
      "['2017' '10' '04' '09' '59.0' '20.759']\n",
      "['2017' '10' '04' '20' '59.0' '21.408']\n",
      "['2017' '10' '05' '03' '59.0' '21.14']\n",
      "['2017' '10' '05' '04' '59.0' '21.171']\n",
      "['2017' '10' '05' '07' '59.0' '21.06']\n",
      "['2017' '10' '05' '08' '59.0' '21.581999999999997']\n",
      "['2017' '10' '05' '14' '59.0' '23.006']\n",
      "['2017' '10' '05' '15' '59.0' '17.816']\n",
      "['2017' '10' '05' '17' '59.0' '0.696']\n",
      "['2017' '10' '05' '22' '59.0' '0.0']\n",
      "['2017' '10' '06' '02' '59.0' '0.0']\n",
      "['2017' '10' '06' '05' '59.0' '0.0']\n",
      "['2017' '10' '06' '11' '59.0' '27.389']\n",
      "['2017' '10' '06' '12' '59.0' '17.88']\n",
      "['2017' '10' '06' '14' '59.0' '5.19']\n",
      "['2017' '10' '06' '15' '59.0' '1.455']\n",
      "['2017' '10' '06' '16' '59.0' '11.804']\n",
      "['2017' '10' '06' '17' '59.0' '7.69']\n",
      "['2017' '10' '06' '19' '59.0' '3.386']\n",
      "['2017' '10' '06' '21' '59.0' '12.357999999999999']\n",
      "['2017' '10' '06' '22' '59.0' '0.0']\n",
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      "['2018' '03' '25' '09' '59.0' '2.009']\n",
      "['2018' '03' '26' '10' '59.0' '0.0']\n",
      "['2018' '03' '26' '12' '59.0' '3.307']\n",
      "['2018' '03' '26' '14' '59.0' '1.456']\n",
      "['2018' '03' '27' '08' '59.0' '0.0']\n",
      "['2018' '03' '27' '09' '59.0' '7.864']\n",
      "['2018' '03' '27' '13' '59.0' '15.285']\n",
      "['2018' '03' '27' '18' '59.0' '2.864']\n",
      "['2018' '03' '27' '20' '59.0' '5.221']\n",
      "['2018' '03' '27' '23' '59.0' '1.5830000000000002']\n",
      "['2018' '03' '28' '04' '59.0' '0.016']\n",
      "['2018' '03' '28' '11' '59.0' '40.222']\n",
      "['2018' '03' '28' '13' '59.0' '1.5190000000000001']\n",
      "['2018' '03' '30' '22' '59.0' '9.968']\n",
      "['2018' '03' '31' '08' '59.0' '2.3569999999999998']\n",
      "['2018' '03' '31' '12' '59.0' '1.186']\n",
      "['2018' '03' '31' '14' '59.0' '1.709']\n",
      "['2018' '03' '31' '15' '59.0' '5.332000000000001']\n",
      "['2018' '03' '31' '17' '59.0' '1.962']\n",
      "['2018' '04' '01' '04' '59.0' '5.269']\n",
      "['2018' '04' '01' '07' '59.0' '0.015']\n",
      "['2018' '04' '01' '13' '59.0' '0.20600000000000002']\n",
      "['2018' '04' '02' '06' '59.0' '0.015']\n",
      "['2018' '04' '03' '08' '59.0' '54.367']\n",
      "['2018' '04' '03' '09' '59.0' '1.4080000000000001']\n",
      "['2018' '04' '04' '09' '59.0' '7.247000000000001']\n",
      "['2018' '04' '04' '15' '59.0' '13.244000000000002']\n",
      "['2018' '04' '05' '12' '59.0' '0.0']\n",
      "['2018' '04' '07' '11' '59.0' '3.8289999999999997']\n",
      "['2018' '04' '07' '12' '59.0' '2.611']\n",
      "['2018' '04' '07' '14' '59.0' '6.978']\n"
     ]
    }
   ],
   "source": [
    "time_parsed_data_w = np.zeros([sample_size,6])\n",
    "#iter truncated dataset\n",
    "for i in range(1,sample_size):\n",
    "    time1 = small_wtr_data_s[i][0]\n",
    "    [ymd,hmm] = time1.split()\n",
    "    [y,m,d] = ymd.split('-')\n",
    "    [h,min,sec] = hmm.split(\":\")\n",
    "    temp = small_wtr_data[i][1:]\n",
    "    temp2 = np.concatenate(([y,m,d,h],temp))\n",
    "    print(temp2)\n",
    "    time_parsed_data_w[i,:] = temp2\n",
    "np.savetxt(\"data/1000_wtr_data.csv\", time_parsed_data, delimiter=',')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 210,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
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      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
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      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
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      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
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      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
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      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
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      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
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      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n"
     ]
    }
   ],
   "source": [
    "#null collumns = 5,6,8,10,12,14,16,18,20,22,25,27,28,29\n",
    "#other collumns = 1,2,3,4,7,9,11,12,15,17,19,21,23,24,26\n",
    "time_parsed_data_weather = np.zeros([sample_size,18])\n",
    "time_parsed_data_weather = time_parsed_data_weather.astype('str')\n",
    "time_parsed_data_weather[1,:]\n",
    "for i in range(1,sample_size):\n",
    "    i = 1\n",
    "    time1 = small_weather_data_s[i][0]\n",
    "    [ymd,hmm] = time1.split()\n",
    "    [y,m,d] = ymd.split('-')\n",
    "    y = y[1:] #hard coding out the \n",
    "    [h,min,sec] = hmm.split(\":\")\n",
    "    all_might_bool_array = np.array([False,True,True,True, True,False,False,False,False,True,False,True,False,True,False,True,False,True,False,True,False,True,False,True,True,False,True,False,False,False])\n",
    "    temp = small_weather_data_s[i][all_might_bool_array]\n",
    "    temp2 = np.concatenate(([y,m,d,h],temp))\n",
    "    print(temp2)\n",
    "    time_parsed_data_weather[i,:] = temp2\n",
    "np.savetxt(\"data/1000_weather_data.csv\", time_parsed_data, delimiter=',')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 207,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['2017' '08' '17' '01' '30.292432' '-97.699662' '-5' '\"Partly Cloudy\"'\n",
      " '74.53' '0.77' '9.86' '89.28' '1013.59' '8.39' '0.26' '172' '0' '0']\n",
      "1\n"
     ]
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['\"localhour\"', '\"latitude\"', '\"longitude\"', '\"tz_offset\"',\n",
       "       '\"summary\"', '\"ozone\"', '\"ozone_error\"', '\"temperature\"',\n",
       "       '\"temperature_error\"', '\"dew_point\"', '\"dew_point_error\"',\n",
       "       '\"humidity\"', '\"humidity_error\"', '\"visibility\"',\n",
       "       '\"visibility_error\"', '\"apparent_temperature\"',\n",
       "       '\"apparent_temperature_error\"', '\"pressure\"', '\"pressure_error\"',\n",
       "       '\"wind_speed\"', '\"wind_speed_error\"', '\"cloud_cover\"',\n",
       "       '\"cloud_cover_error\"', '\"wind_bearing\"', '\"precip_intensity\"',\n",
       "       '\"precip_intensity_error\"', '\"precip_probability\"',\n",
       "       '\"precip_type\"', '\"irradiance\"', '\"location\"'], dtype='<U40')"
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['30.292432', '-97.699662', '-5', '\"Partly Cloudy\"', '74.53',\n",
       "       '0.77', '9.86', '89.28', '1013.59', '8.39', '0.26', '172', '0',\n",
       "       '0'], dtype='<U40')"
      ]
     },
     "execution_count": 179,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "13"
      ]
     },
     "execution_count": 176,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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  "kernelspec": {
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