Write a NumPy program to replace all the nan (missing values) of a given array with the mean of another array
- برمجة بايثون
- 2021-09-13
- mhanasmh00489829403
الأجوبة
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]]
أسئلة مشابهة
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