text: import pandas as pd
  import matplotlib.pyplot as plt
  import datetime as dt
  
  homeDir = 'P:\\PW-WATER SERVICES\\TECHNICAL SERVICES\\Anna'
  filename = homeDir + '\\Storm Analysis\\netii_comp.csv'
  dfnetII = pd.read_csv(filename)
  stormDate = dt.datetime(2019,6,8)
  print(dfnetII.columns)
  
  figComp1,axComp1 = plt.subplots()
  dfnetII.sort_values(by=str(stormDate.date()),ascending=True,inplace=True)
  # SPLIT INTO TWO #
  dfnetII.iloc[0:len(dfnetII.index)/2,:].plot.barh(figsize=(7.5,12.5),ax=axComp1)
  axComp1.set_xlabel('Net I&I (MG)')
  axComp1.set_xscale('log')
  axComp1.grid()
  plt.savefig(homeDir + '\\Storm Analysis\\netii_compHigh.png')
  
  figComp2,axComp2 = plt.subplots()
  dfnetII.iloc[len(dfnetII.index)/2+1:,:].plot.barh(figsize=(7.5,12.5),ax=axComp2)
  axComp2.set_xlabel('Net I&I (MG)')
  axComp2.set_xscale('log')
  axComp2.grid()
  plt.savefig(homeDir + '\\Storm Analysis\\netii_compLow.png')
  