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 as np
m1 = np.array([ 1 , 1 , 0 , 1 ])
m2 = np.array([ 0 , 0 , 1 , 1 ])
gfg = np.ma.mask_or(m1, m2)
print (gfg)
|
Output :
[True True True True]
Example #2 :
import numpy as np
m1 = np.array([ 1 , 0 , 0 , 1 , 0 ])
m2 = np.array([ 0 , 0 , 1 , 1 , 0 ])
gfg = np.ma.mask_or(m1, m2)
print (gfg)
|
Output :
[True False True True False]
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