Adding assignment 11_Martinelli

Assignment 11- Deadline Dec19th_DataDrivenBuildingExplorationStep/Assignment11_Martinelli/Assignment11_Martinelli.py

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+# -*- coding: utf-8 -*-
+import numpy as np
+import pandas as pd
+import matplotlib.pyplot as plt
+
+DataFolderPath = "C:\Users\Utente\Desktop\Assignment11_Martinelli\Data"
+
+ConsumptionFileName = "consumption_5545.csv"
+ConsumptionFilePath = DataFolderPath+"/"+ConsumptionFileName 
+DF_consumption = pd.read_csv(ConsumptionFilePath,sep = ",",index_col=0) 
+previousIndex= DF_consumption.index
+NewparsedIndex = pd.to_datetime(previousIndex)
+DF_consumption.index= NewparsedIndex
+DF_JunefirstTillthird = DF_consumption["2014-06-01 00:00:00":"2014-06-03 23:00:00"]
+DF_JunefirstTillthird.describe()
+
+plt.figure(1)
+plt.plot(DF_JunefirstTillthird)
+DF_JunefirstTillthird.plot()
+plt.xlabel('Time')
+plt.ylabel('AC Power [W]')
+plt.show()
+
+#first plot them separately, two alternative ways
+
+WeatherSourceFileName = "Austin_weather_2014.csv"
+WeatherSourceFilePath =  DataFolderPath+"/"+WeatherSourceFileName 
+DF_weatherSource = pd.read_csv(WeatherSourceFilePath, sep = ";",index_col= 0)
+DF_temperature = DF_weatherSource[['temperature']]
+previousIndex_temperature= DF_temperature.index
+NewparsedIndex_temperature = pd.to_datetime(previousIndex_temperature)
+DF_temperature.index= NewparsedIndex_temperature
+DF_JunefirstTillthirdTemp = DF_temperature["2014-06-01 00:00:00":"2014-06-03 23:00:00"]
+
+plt.figure(3)
+plt.plot(DF_JunefirstTillthirdTemp)
+DF_JunefirstTillthirdTemp.plot()
+plt.xlabel('Time')
+plt.ylabel('Ambient temperature[F]')
+plt.show()
+
+IrradianceSourceFileName = "irradiance_2014_gen.csv"
+IrradianceSourceFilePath =  DataFolderPath+"/"+IrradianceSourceFileName 
+DF_irradianceSource = pd.read_csv(IrradianceSourceFilePath, sep = ";",index_col= 1)
+DF_irradiance = DF_irradianceSource[["gen"]]
+DF_irradiance[DF_irradianceSource["gen"] < 0] = 0
+previousIndex_irradiance= DF_irradiance.index
+NewparsedIndex_irradiance = pd.to_datetime(previousIndex_irradiance)
+DF_irradiance.index= NewparsedIndex_irradiance
+DF_JunefirstTillthirdIrr = DF_irradiance["2014-06-01 00:00:00":"2014-06-03 23:00:00"]
+
+plt.figure(5)
+plt.plot(DF_JunefirstTillthirdIrr)
+DF_JunefirstTillthirdIrr.plot()
+plt.xlabel('Time')
+plt.ylabel('Irradiance')
+plt.show()
+
+#then plot the on the same plot
+
+DF_joined = DF_consumption.join([DF_temperature,DF_irradiance])
+DF_JunefirstTillthirdJoined = DF_joined["2014-06-01 00:00:00":"2014-06-03 23:00:00"]
+DF_joined.dropna()
+
+plt.figure(7)
+plt.plot(DF_JunefirstTillthirdJoined)
+DF_JunefirstTillthirdJoined.plot()
+plt.xlabel('Time')
+plt.ylabel('AC Power [W],Ambient temperature,Irradiance')
+plt.show()
+
+#then plot them in the same plot with different scale for axis y
+
+fig, ax1 = plt.subplots()
+
+ax1.plot(DF_JunefirstTillthird, 'g')
+ax1.set_xlabel('Time')
+ax1.set_ylabel('AC Power', color='g')
+ax1.tick_params('y', colors='g')
+
+ax2 = ax1.twinx()
+ax2.plot(DF_JunefirstTillthirdTemp, 'k')
+ax2.set_ylabel('temp', color='k')
+ax2.tick_params('y', colors='k')
+
+ax3 = ax2.twinx()
+ax3.plot(DF_JunefirstTillthirdIrr, 'c')
+ax3.set_ylabel('Irr', color='c')
+ax3.tick_params('y', colors='c')
+
+fig.tight_layout()
+plt.show()