{ "metadata": { "name": "Untitled0" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "code", "collapsed": false, "input": [ "\n", "import pandas as pd\n", "from bs4 import BeautifulSoup as bs\n", "import TOU_pricing\n", "import numpy as np\n", "#reload(TOU_pricing)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 6 }, { "cell_type": "code", "collapsed": false, "input": [ "xml_file = 'raw_data/Inland_Single_Family_Jan_1_2011_to_Jan_1_2012_RetailCustomer_9.xml'\n", "soup = bs(open(xml_file))\n", "\n", "# initiate a numpy array to store values\n", "data_array = np.zeros((len(soup.find_all('value')),1))\n", "\n", "for i, intervalreading in enumerate(soup.find_all('intervalreading')):\n", " data_array[i,0]=intervalreading.value.get_text()\n", " \n", "data_start = '1/1/2011 08:00:00'\n", "demand_data = pd.DataFrame(data_array*.001,columns=['USAGE'],index=pd.date_range(data_start, periods=len(soup.find_all('value')), freq='H'))\n", "#demand_data.to_csv('raw_data/Green_Button_Sample_Inland_SingleFamily.csv')" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 7 }, { "cell_type": "code", "collapsed": false, "input": [ "demand_data[:2]" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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USAGE
2011-01-01 08:00:00 1.002
2011-01-01 09:00:00 0.867
\n", "
" ], "output_type": "pyout", "prompt_number": 8, "text": [ " USAGE\n", "2011-01-01 08:00:00 1.002\n", "2011-01-01 09:00:00 0.867" ] } ], "prompt_number": 8 }, { "cell_type": "code", "collapsed": false, "input": [ "a = TOU_pricing.BGE_elec_cost(demand_data)\n", "a[30:60]" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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USAGEBGE-R_cost_perkWhBGE-RL_cost_perkWhBGE-EV_cost_perkWh
2011-01-02 14:00:00 0.926 0.08616 0.06974 0.05209
2011-01-02 15:00:00 1.041 0.08616 0.06974 0.05209
2011-01-02 16:00:00 1.111 0.08616 0.06974 0.05209
2011-01-02 17:00:00 1.193 0.08616 0.06974 0.05209
2011-01-02 18:00:00 1.182 0.08616 0.06974 0.05209
2011-01-02 19:00:00 1.149 0.08616 0.06974 0.05209
2011-01-02 20:00:00 1.111 0.08616 0.06974 0.05209
2011-01-02 21:00:00 1.014 0.08616 0.06974 0.05209
2011-01-02 22:00:00 0.967 0.08616 0.06974 0.05209
2011-01-02 23:00:00 1.005 0.08616 0.06974 0.05209
2011-01-03 00:00:00 1.090 0.08616 0.06974 0.05209
2011-01-03 01:00:00 1.405 0.08616 0.06974 0.05209
2011-01-03 02:00:00 1.500 0.08616 0.06974 0.05209
2011-01-03 03:00:00 1.404 0.08616 0.06974 0.05209
2011-01-03 04:00:00 1.314 0.08616 0.06974 0.05209
2011-01-03 05:00:00 1.247 0.08616 0.06974 0.05209
2011-01-03 06:00:00 1.089 0.08616 0.06974 0.05209
2011-01-03 07:00:00 0.924 0.08616 0.11924 0.18266
2011-01-03 08:00:00 0.808 0.08616 0.11924 0.18266
2011-01-03 09:00:00 0.748 0.08616 0.11924 0.18266
2011-01-03 10:00:00 0.714 0.08616 0.11924 0.18266
2011-01-03 11:00:00 0.690 0.08616 0.08468 0.05209
2011-01-03 12:00:00 0.711 0.08616 0.08468 0.05209
2011-01-03 13:00:00 0.829 0.08616 0.08468 0.05209
2011-01-03 14:00:00 0.964 0.08616 0.08468 0.05209
2011-01-03 15:00:00 0.962 0.08616 0.08468 0.05209
2011-01-03 16:00:00 1.050 0.08616 0.08468 0.05209
2011-01-03 17:00:00 1.096 0.08616 0.11924 0.18266
2011-01-03 18:00:00 1.111 0.08616 0.11924 0.18266
2011-01-03 19:00:00 1.127 0.08616 0.11924 0.18266
\n", "
" ], "output_type": "pyout", "prompt_number": 9, "text": [ " USAGE BGE-R_cost_perkWh BGE-RL_cost_perkWh \\\n", "2011-01-02 14:00:00 0.926 0.08616 0.06974 \n", "2011-01-02 15:00:00 1.041 0.08616 0.06974 \n", "2011-01-02 16:00:00 1.111 0.08616 0.06974 \n", "2011-01-02 17:00:00 1.193 0.08616 0.06974 \n", "2011-01-02 18:00:00 1.182 0.08616 0.06974 \n", "2011-01-02 19:00:00 1.149 0.08616 0.06974 \n", "2011-01-02 20:00:00 1.111 0.08616 0.06974 \n", "2011-01-02 21:00:00 1.014 0.08616 0.06974 \n", "2011-01-02 22:00:00 0.967 0.08616 0.06974 \n", "2011-01-02 23:00:00 1.005 0.08616 0.06974 \n", "2011-01-03 00:00:00 1.090 0.08616 0.06974 \n", "2011-01-03 01:00:00 1.405 0.08616 0.06974 \n", "2011-01-03 02:00:00 1.500 0.08616 0.06974 \n", "2011-01-03 03:00:00 1.404 0.08616 0.06974 \n", "2011-01-03 04:00:00 1.314 0.08616 0.06974 \n", "2011-01-03 05:00:00 1.247 0.08616 0.06974 \n", "2011-01-03 06:00:00 1.089 0.08616 0.06974 \n", "2011-01-03 07:00:00 0.924 0.08616 0.11924 \n", "2011-01-03 08:00:00 0.808 0.08616 0.11924 \n", "2011-01-03 09:00:00 0.748 0.08616 0.11924 \n", "2011-01-03 10:00:00 0.714 0.08616 0.11924 \n", "2011-01-03 11:00:00 0.690 0.08616 0.08468 \n", "2011-01-03 12:00:00 0.711 0.08616 0.08468 \n", "2011-01-03 13:00:00 0.829 0.08616 0.08468 \n", "2011-01-03 14:00:00 0.964 0.08616 0.08468 \n", "2011-01-03 15:00:00 0.962 0.08616 0.08468 \n", "2011-01-03 16:00:00 1.050 0.08616 0.08468 \n", "2011-01-03 17:00:00 1.096 0.08616 0.11924 \n", "2011-01-03 18:00:00 1.111 0.08616 0.11924 \n", "2011-01-03 19:00:00 1.127 0.08616 0.11924 \n", "\n", " BGE-EV_cost_perkWh \n", "2011-01-02 14:00:00 0.05209 \n", "2011-01-02 15:00:00 0.05209 \n", "2011-01-02 16:00:00 0.05209 \n", "2011-01-02 17:00:00 0.05209 \n", "2011-01-02 18:00:00 0.05209 \n", "2011-01-02 19:00:00 0.05209 \n", "2011-01-02 20:00:00 0.05209 \n", "2011-01-02 21:00:00 0.05209 \n", "2011-01-02 22:00:00 0.05209 \n", "2011-01-02 23:00:00 0.05209 \n", "2011-01-03 00:00:00 0.05209 \n", "2011-01-03 01:00:00 0.05209 \n", "2011-01-03 02:00:00 0.05209 \n", "2011-01-03 03:00:00 0.05209 \n", "2011-01-03 04:00:00 0.05209 \n", "2011-01-03 05:00:00 0.05209 \n", "2011-01-03 06:00:00 0.05209 \n", "2011-01-03 07:00:00 0.18266 \n", "2011-01-03 08:00:00 0.18266 \n", "2011-01-03 09:00:00 0.18266 \n", "2011-01-03 10:00:00 0.18266 \n", "2011-01-03 11:00:00 0.05209 \n", "2011-01-03 12:00:00 0.05209 \n", "2011-01-03 13:00:00 0.05209 \n", "2011-01-03 14:00:00 0.05209 \n", "2011-01-03 15:00:00 0.05209 \n", "2011-01-03 16:00:00 0.05209 \n", "2011-01-03 17:00:00 0.18266 \n", "2011-01-03 18:00:00 0.18266 \n", "2011-01-03 19:00:00 0.18266 " ] } ], "prompt_number": 9 }, { "cell_type": "code", "collapsed": false, "input": [ "trial = '2011-01-06'\n", "print a[trial].index.weekday\n", "a.ix[trial]" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "[3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3]\n" ] }, { "html": [ "
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USAGEBGE-R_cost_perkWhBGE-RL_cost_perkWhBGE-EV_cost_perkWh
2011-01-06 00:00:00 0.906 0.08616 0.06974 0.05209
2011-01-06 01:00:00 1.311 0.08616 0.06974 0.05209
2011-01-06 02:00:00 1.429 0.08616 0.06974 0.05209
2011-01-06 03:00:00 1.383 0.08616 0.06974 0.05209
2011-01-06 04:00:00 1.360 0.08616 0.06974 0.05209
2011-01-06 05:00:00 1.161 0.08616 0.06974 0.05209
2011-01-06 06:00:00 1.025 0.08616 0.06974 0.05209
2011-01-06 07:00:00 0.821 0.08616 0.11924 0.18266
2011-01-06 08:00:00 0.705 0.08616 0.11924 0.18266
2011-01-06 09:00:00 0.652 0.08616 0.11924 0.18266
2011-01-06 10:00:00 0.651 0.08616 0.11924 0.18266
2011-01-06 11:00:00 0.650 0.08616 0.08468 0.05209
2011-01-06 12:00:00 0.699 0.08616 0.08468 0.05209
2011-01-06 13:00:00 0.906 0.08616 0.08468 0.05209
2011-01-06 14:00:00 1.036 0.08616 0.08468 0.05209
2011-01-06 15:00:00 1.051 0.08616 0.08468 0.05209
2011-01-06 16:00:00 0.992 0.08616 0.08468 0.05209
2011-01-06 17:00:00 0.917 0.08616 0.11924 0.18266
2011-01-06 18:00:00 0.893 0.08616 0.11924 0.18266
2011-01-06 19:00:00 0.900 0.08616 0.11924 0.18266
2011-01-06 20:00:00 0.885 0.08616 0.11924 0.18266
2011-01-06 21:00:00 0.832 0.08616 0.06974 0.05209
2011-01-06 22:00:00 0.809 0.08616 0.06974 0.05209
2011-01-06 23:00:00 0.834 0.08616 0.06974 0.05209
\n", "
" ], "output_type": "pyout", "prompt_number": 5, "text": [ " USAGE BGE-R_cost_perkWh BGE-RL_cost_perkWh BGE-EV_cost_perkWh\n", "2011-01-06 00:00:00 0.906 0.08616 0.06974 0.05209\n", "2011-01-06 01:00:00 1.311 0.08616 0.06974 0.05209\n", "2011-01-06 02:00:00 1.429 0.08616 0.06974 0.05209\n", "2011-01-06 03:00:00 1.383 0.08616 0.06974 0.05209\n", "2011-01-06 04:00:00 1.360 0.08616 0.06974 0.05209\n", "2011-01-06 05:00:00 1.161 0.08616 0.06974 0.05209\n", "2011-01-06 06:00:00 1.025 0.08616 0.06974 0.05209\n", "2011-01-06 07:00:00 0.821 0.08616 0.11924 0.18266\n", "2011-01-06 08:00:00 0.705 0.08616 0.11924 0.18266\n", "2011-01-06 09:00:00 0.652 0.08616 0.11924 0.18266\n", "2011-01-06 10:00:00 0.651 0.08616 0.11924 0.18266\n", "2011-01-06 11:00:00 0.650 0.08616 0.08468 0.05209\n", "2011-01-06 12:00:00 0.699 0.08616 0.08468 0.05209\n", "2011-01-06 13:00:00 0.906 0.08616 0.08468 0.05209\n", "2011-01-06 14:00:00 1.036 0.08616 0.08468 0.05209\n", "2011-01-06 15:00:00 1.051 0.08616 0.08468 0.05209\n", "2011-01-06 16:00:00 0.992 0.08616 0.08468 0.05209\n", "2011-01-06 17:00:00 0.917 0.08616 0.11924 0.18266\n", "2011-01-06 18:00:00 0.893 0.08616 0.11924 0.18266\n", "2011-01-06 19:00:00 0.900 0.08616 0.11924 0.18266\n", "2011-01-06 20:00:00 0.885 0.08616 0.11924 0.18266\n", "2011-01-06 21:00:00 0.832 0.08616 0.06974 0.05209\n", "2011-01-06 22:00:00 0.809 0.08616 0.06974 0.05209\n", "2011-01-06 23:00:00 0.834 0.08616 0.06974 0.05209" ] } ], "prompt_number": 5 }, { "cell_type": "code", "collapsed": false, "input": [ " " ], "language": "python", "metadata": {}, "outputs": [] }, { "cell_type": "code", "collapsed": false, "input": [], "language": "python", "metadata": {}, "outputs": [] }, { "cell_type": "code", "collapsed": false, "input": [ "\n" ], "language": "python", "metadata": {}, "outputs": [] }, { "cell_type": "code", "collapsed": false, "input": [], "language": "python", "metadata": {}, "outputs": [] } ], "metadata": {} } ] }