Assignment11_MARRUGO

Assignment 11- Deadline Dec19th_DataDrivenBuildingExplorationStep/Assignment11_MARRUGO/Assignment11_MARRUGO.py

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+import numpy as np
+import pandas as pd
+import matplotlib.pyplot as plt
+
+#Load the path of the Excel files for AC consumption, Weather and irradiance
+DataPath="/Users/Marrugo/Dropbox/git_for_clone/Data-driven_Building_simulation_Polimi_EETBS/Data/"
+consumption="consumption_5545.csv"
+weather="Austin_weather_2014.csv"
+irradiance="irradiance_2014_gen.csv"
+#compiling the path for the Excel files of AC consumption, Weather and irradiance
+ConsumpitionFile=DataPath+consumption
+Weather=DataPath+weather
+Irradiance=DataPath+irradiance
+#import data frame of the values for AC consuption, Weather and irradiance
+DF_consumption=pd.read_csv(ConsumpitionFile,sep=",",index_col=0)
+DF_weather=pd.read_csv(Weather,sep=";",index_col=0)
+DF_irradiance=pd.read_csv(Irradiance,sep=";",index_col=1)
+#Change the index of the Data frame of weather to data time 
+previusindex=DF_weather.index
+parsedindex=pd.to_datetime(previusindex)
+DF_weather.index=parsedindex
+#Change the index of the Data frame of irradiance to data time
+previusindex=DF_irradiance.index
+parsedindex=pd.to_datetime(previusindex)
+DF_irradiance.index=parsedindex
+#Change the index of the Data frame of consumption to data time
+previusindex=DF_consumption.index
+parsedindex=pd.to_datetime(previusindex)
+DF_consumption.index=parsedindex
+DF_consumption.head()
+#Selecting the rage of AC consuption, Weather and irradiance between June 1th of 2014 until June 3th of 2014
+RangeDateConsumption=DF_consumption["2014-06-01 00:00:00":"2014-06-03 23:00:00"]
+RangeDateWeather=DF_weather[["temperature"]]["2014-06-01 00:00:00":"2014-06-03 23:00:00"]
+RangeDateIrradiance=DF_irradiance[["gen"]]["2014-06-01 00:00:00":"2014-06-03 23:00:00"]
+#Correcting Irradiance data
+RangeDateIrradiance[RangeDateIrradiance["gen"]<0]=0
+#Compiling data of AC consuption, Weather and irradiance
+DF_DataTexas=RangeDateConsumption.join([RangeDateWeather,RangeDateIrradiance])
+#Ploting the data
+DF_DataTexas.plot()
+plt.xlabel("time")
+plt.ylabel("AC consumption (W)")
+
+#Ploting using subplots a double Y axis
+
+#Defining number of subplots
+f, axes = plt.subplots(2, 1)
+#Ploting in subplot 1 data of AC consumption
+axes[0].plot(RangeDateConsumption, 'b-')
+#Y label for AC consumption in subplot 1
+axes[0].set_ylabel('AC consumption (W)', color='b')
+axes[0].tick_params('y', colors='b')
+#Creating double Y axis in subplot 1
+ax21 = axes[0].twinx()
+#Ploting in subplot 1 data of weather
+ax21.plot(RangeDateWeather, 'r-')
+#Y label weather in subplot 1
+ax21.set_ylabel('Temperature (F)', color='r')
+ax21.tick_params('y', colors='r')
+#Ploting in subplot 2 data of AC consumption
+axes[1].plot(RangeDateConsumption, 'b-')
+#x label for all data in all subplots 
+axes[1].set_xlabel('Time (Data time)')
+#Y label for AC consumption in subplot 1
+axes[1].set_ylabel('AC consumption (W)', color='b')
+axes[1].tick_params('y', colors='b')
+#Creating double Y axis in subplot 2
+ax22 = axes[1].twinx()
+#Ploting in subplot 2 data of Irradiance
+ax22.plot(RangeDateIrradiance, 'r-')
+#Y label for Irradiance in subplot 2
+ax22.set_ylabel('Irradiance (W/m2)', color='r')
+ax22.tick_params('y', colors='r')
+plt.show()