Give two identical dataframes Sales16 and Sales17. But Sales17 has some values missing. Write code so that Sales17 fills

Q. Give two identical dataframes Sales16 and Sales17. But Sales17 has some values missing. Write code so that Sales17 fills its missing values from the corresponding entries of Sales16.

Answer =

import pandas as pd
import numpy as np
sales16 = pd.DataFrame( data = [531, 35, 27, 93, \
                          30, 40, 5, 81, 51, 14, 59, 96], columns = \
                  [ 'closingPrice' ] )
sales17 = pd.DataFrame( data = [531, 35, 27, 93, \
                          np.nan, 40, 5, np.nan, 51, 14, 59, 96 ], columns = \
                  [ 'closingPrice' ] )

print( sales17.fillna(sales16) )