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]
