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NumPy Exercises

NumPy: Remove all rows in a numpy array that contain non-numeric values

NumPy: Array Object Exercise-91 with Solution

Write a NumPy program to remove all rows in a numpy array that contain non-numeric values.

Pictorial Presentation:

Python NumPy: Remove all rows in a numpy array that contain non-numeric values

Sample Solution:

Python Code:

import numpy as np
x = np.array([[1,2,3], [4,5,np.nan], [7,8,9], [True, False, True]])
print("Original array:")
print(x)
print("Remove all non-numeric elements of the said array")
print(x[~np.isnan(x).any(axis=1)])

Sample Output:

Original array:                                                        
[[  1.   2.   3.]                                                      
 [  4.   5.  nan]                                                      
 [  7.   8.   9.]                                                      
 [  1.   0.   1.]]                                                     
Remove all non-numeric elements of the said array                      
[[ 1.  2.  3.]                                                         
 [ 7.  8.  9.]                                                         
 [ 1.  0.  1.]] 

Python Code Editor:

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