Merge branch 'master' of https://code.ornl.gov/evw/EnergyPlus-PBC

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()
-