Q:

Write a NumPy program to replace all the nan (missing values) of a given array with the mean of another array

hamza
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2022-05-18
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Write a NumPy program to replace all the nan (missing values) of a given array with the mean of another array.

Python programming,
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hamza
2022-05-18
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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)
Original arrays:
[[ 0  1  2  3  4]
 [ 5  6  7  8  9]
 [10 11 12 13 14]
 [15 16 17 18 19]]
[[ 1.  2. nan]
 [ 4.  5.  6.]
 [nan  7. nan]]

All the nan of array_nums2 replaced by the mean of array_nums1:
[[1.  2.  9.5]
 [4.  5.  6. ]
 [9.5 7.  9.5]]

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