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]