Program To Find The Missing Data In An Array Using NumPy.

In this python numpy program, we will find the missing data in an array using NumPy.

Import the numpy library as np.
Create an array using np.array().
Find the missing data in a given array using np.isnan().
It will return True if the value in an array is missing (i.e. nan- not a number) else False.
Print the output.

				
					import numpy as np
x = np.array([[1, 5, np.nan],
              [8, np.nan, 9]])

print(np.isnan(x))

Output :

				
					[[False False  True]
 [False  True False]]

convert an array into a list.

check whether two arrays are element-wise equal.

Program to find the missing data in an array using NumPy.