# Write a NumPy program to replace all the nan (missing values) of a given array with the mean of another array.  import numpy as np
array_nums1 = np.arange(20).reshape(4,5)
array_nums2 = np.array([[1,2,np.nan],[4,5,6],[np.nan, 7, np.nan]])
print("Original arrays:")
print(array_nums1)
print(array_nums2)
print("\nAll the nan of array_nums2 replaced by the mean of array_nums1:")
array_nums2[np.isnan(array_nums2)]= np.nanmean(array_nums1)
print(array_nums2)
