Delete plotter.py

import pandas as pd

import matplotlib.pyplot as plt

import os

import numpy as np

files = [f for f in os.listdir('./buildings') if os.path.isfile('./buildings/'+f+'/'+f)]

fl = files[0]

print(fl)

eso = pd.read_csv('buildings/'+fl+'/eplusout.eso', engine='python', names='abcdefghijk')

indexes = eso[eso['d']=='Zone Air Temperature [C] !TimeStep']

indexes = indexes['a'].tolist()

temps = eso[eso['a']==indexes[0]]['b']

indexes.pop(0)

temps.reset_index(drop=True, inplace=True)

for idx in indexes:

    tmp_temp = eso[eso['a']==idx]['b']

    tmp_temp = pd.DataFrame(tmp_temp)

    tmp_temp.reset_index(drop=True, inplace=True)

    temps = pd.concat([temps, tmp_temp], axis=1, ignore_index=True)

#temps = temps[2881:]

#temps = temps.convert_objects(convert_numeric=True)

temps.reset_index(drop=True, inplace=True)

files.pop(0)

for idf, fl in enumerate(files):

    eso = pd.read_csv('buildings/'+fl+'/eplusout.eso', engine='python', names='abcdefghijk')

    indexes = eso[eso['d']=='Zone Air Temperature [C] !TimeStep']

    indexes = indexes['a'].tolist()

    for idx in indexes:

        tmp_temp = eso[eso['a']==idx]['b']

        tmp_temp = pd.DataFrame(tmp_temp)

        tmp_temp.reset_index(drop=True, inplace=True)

        temps = pd.concat([temps, tmp_temp], axis=1, ignore_index=True)

temps = temps[2881:]

temps = temps.convert_objects(convert_numeric=True)

temps.reset_index(drop=True, inplace=True)

temps.plot()

plt.plot([i for i in range(0,1440)], [23.8889 for i in range(0,1440)], '--b')

plt.plot([i for i in range(0,1440)], [24.7222 for i in range(0,1440)], '--r')

files = [f for f in os.listdir('./buildings') if os.path.isfile('./buildings/'+f+'/'+f)]

fl = files[0]

eso = pd.read_csv('buildings/'+fl+'/eplusout.eso', engine='python', names='abcdefghijk')

indexes = eso[eso['d']=='Zone Thermostat Cooling Setpoint Temperature [C] !TimeStep']

indexes = indexes['a'].tolist()

temps = eso[eso['a']==indexes[0]]['b']

indexes.pop(0)

temps.reset_index(drop=True, inplace=True)

for idx in indexes:

    tmp_temp = eso[eso['a']==idx]['b']

    tmp_temp = pd.DataFrame(tmp_temp)

    tmp_temp.reset_index(drop=True, inplace=True)

    temps = pd.concat([temps, tmp_temp], axis=1, ignore_index=True)

temps = temps[2881:]

temps = temps.convert_objects(convert_numeric=True)

temps.reset_index(drop=True, inplace=True)

files.pop(0)

for idf, fl in enumerate(files):

    eso = pd.read_csv('buildings/'+fl+'/eplusout.eso', engine='python', names='abcdefghijk')

    indexes = eso[eso['d']=='Zone Thermostat Cooling Setpoint Temperature [C] !TimeStep']

    indexes = indexes['a'].tolist()

    for idx in indexes:

        tmp_temp = eso[eso['a']==idx]['b']

        tmp_temp = pd.DataFrame(tmp_temp)

        tmp_temp.reset_index(drop=True, inplace=True)

        temps = pd.concat([temps, tmp_temp], axis=1, ignore_index=True)

temps = temps[2881:]

temps = temps.convert_objects(convert_numeric=True)

temps.reset_index(drop=True, inplace=True)

temps.plot()

onOff = temps.copy()

#onOff[onOff > 23.89] = 1

#onOff[onOff < 23.89] = 0

onOff.replace(30.0, 0, inplace=True)

onOff.replace(16.0, 1, inplace=True)

numUnits = onOff.sum(axis=1)

plt.figure(3)

numUnits.plot(label=None)

print(numUnits)

# HVAC Electricity #

files = [f for f in os.listdir('./buildings') if os.path.isfile('./buildings/'+f+'/'+f)]

fl = files[0]

print(fl)

eso = pd.read_csv('buildings/'+fl+'/eplusout.mtr', engine='python', names='abcdefghijk')

indexes = eso[eso['c']=='Electricity:Facility [J] !TimeStep']

indexes = indexes['a'].tolist()

temps = eso[eso['a']==indexes[0]]['b']

indexes.pop(0)

temps.reset_index(drop=True, inplace=True)

for idx in indexes:

    tmp_temp = eso[eso['a']==idx]['b']

    tmp_temp = pd.DataFrame(tmp_temp)

    tmp_temp.reset_index(drop=True, inplace=True)

    temps = pd.concat([temps, tmp_temp], axis=1, ignore_index=True)

temps = temps[2881:]

temps = temps.convert_objects(convert_numeric=True)

temps.reset_index(drop=True, inplace=True)

files.pop(0)

for idf, fl in enumerate(files):

    eso = pd.read_csv('buildings/'+fl+'/eplusout.mtr', engine='python', names='abcdefghijk')

    indexes = eso[eso['c']=='Electricity:Facility [J] !TimeStep']

    indexes = indexes['a'].tolist()

    for idx in indexes:

        tmp_temp = eso[eso['a']==idx]['b']

        tmp_temp = pd.DataFrame(tmp_temp)

        tmp_temp.reset_index(drop=True, inplace=True)

        temps = pd.concat([temps, tmp_temp], axis=1, ignore_index=True)

temps = temps[2881:]

temps = temps.convert_objects(convert_numeric=True)

temps.reset_index(drop=True, inplace=True)

temps2 = temps.sum(axis=1)

print(max(temps2)/60.0/1000.0)

plt.figure(5)

temps2.plot()

plt.show()