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Python | Numpy np.mask_or() method

Last Updated : 30 Jan, 2020

With the help of np.mask_or() method, we can combine the two masks with logical OR operator by using np.mask_or() method.

Syntax : np.mask_or(m1, m2)
Return : Return the masks with logical OR operator.

Example #1 :
In this example we can see that by using np.mask_or() method, we are able to get the two masks with logical OR operator by using this method.

# import numpy and mask_or 
import numpy as np 
  
m1 = np.array([1, 1, 0, 1]) 
m2 = np.array([0, 0, 1, 1]) 
  
# using np.mask_or() method 
gfg = np.ma.mask_or(m1, m2) 
  
print(gfg) 

Output :

[True True True True]

Example #2 :

# import numpy and mask_or 
import numpy as np 
  
m1 = np.array([1, 0, 0, 1, 0]) 
m2 = np.array([0, 0, 1, 1, 0]) 
  
# using np.mask_or() method 
gfg = np.ma.mask_or(m1, m2) 
  
print(gfg) 

Output :

[True False True True False]

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