text: import numpy as np
  import matplotlib.pyplot as plt
  import pandas as pd
  import seaborn as sns
  df=pd.read_csv('../data1.csv',usecols=[0],engine='python', skipfooter=3)
  dates=df.values
  f=np.load('outfile.npz')
  #seaborn styling 
  sns.set_style('darkgrid')
  
  #plot for the time and predictions of inflow 
  line1,=plt.plot(dates,f['dataset'])
  line2,=plt.plot(dates,f['trainPredictPlot'])
  line3,=plt.plot(dates,f['testPredictPlot'])
  plt.legend((line1, line2, line3), ('Dataset timeseries', 'Train timeseries', 'Test timeseries'))
  plt.show()
  