Python Numpy MaskedArray.__mod__

# A mask example
import numpy as np
x = np.arange(5)
print(x)
mask = (x > 2)
print(mask)
x[mask] = -1
print(x)

[0 1 2 3 4]
[False False False  True  True]
[ 0  1  2 -1 -1]

# import the important module in python 
import numpy as np 
      
# make an array with numpy 
gfg = np.ma.array([1, 2.5, 3, 4.8, 5]) 
      
# applying MaskedArray.__mod__() method 
print(gfg.__mod__(2)) 

[1.0 0.5 1.0 0.7999999999999998 1.0]

# import the important module in python 
import numpy as np 
      
# make an array with numpy 
gfg = np.ma.array([[1, 2, 3, 4.45, 5], 
                [6, 5.5, 4, 3, 2.62]]) 
      
# applying MaskedArray.__mod__() method 
print(gfg.__mod__(3)) 

[[1.0 2.0 0.0 1.4500000000000002 2.0]
 [0.0 2.5 1.0 0.0 2.62]]