# Write a Python program to Replace NaN values with average of columns 
# Python code to demonstrate
# to replace nan values
# with an average of columns
  
import numpy as np
  
# Initialising numpy array
ini_array = np.array([[1.3, 2.5, 3.6, np.nan], 
                      [2.6, 3.3, np.nan, 5.5],
                      [2.1, 3.2, 5.4, 6.5]])
  
# printing initial array
print ("initial array", ini_array)
  
# column mean
col_mean = np.nanmean(ini_array, axis = 0)
  
# printing column mean
print ("columns mean", str(col_mean))
  
# find indices where nan value is present
inds = np.where(np.isnan(ini_array))
  
# replace inds with avg of column
ini_array[inds] = np.take(col_mean, inds[1])
  
# printing final array
print ("final array", ini_array)