Numpy MaskedArray.masked_where() function | Python

numpy.ma.MaskedArray.toflex() function - Python

Last Updated : 05 May, 2020

numpy.ma.MaskedArray.toflex() function transforms a masked array into a flexible-type array. The flexible type array that is returned will have two fields: the _data field and the _mask field. The _data field stores the _data part of the array and the _mask field stores the _mask part of the array.

Syntax : numpy.ma.MaskedArray.toflex(self) Return : [ndarray] A new flexible-type ndarray with two fields: the first element containing a value, the second element containing the corresponding mask boolean. The returned record shape matches self.shape.

Code #1 :

Python3

# Python program explaining
# numpy.ma.MaskedArray.toflex() function

# importing numpy as geek 
# and numpy.ma module as ma 
import numpy as geek 
import numpy.ma as ma 

arr = geek.ma.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]], 
                                 mask =[0] + [1, 0]*4)

gfg = arr.toflex()

print (gfg)

Output :

[[(1, False) (2,  True) (3, False)]
 [(4,  True) (5, False) (6,  True)]
 [(7, False) (8,  True) (9, False)]]

Code #2 :

Python3

# Python program explaining
# numpy.ma.MaskedArray.toflex() function

# importing numpy as geek 
# and numpy.ma module as ma 
import numpy as geek 
import numpy.ma as ma 

arr = geek.ma.array([[11, 12, 13], [14, 15, 16], [17, 18, 19]], 
                                         mask =[0] + [1, 1]*4)

gfg = arr.toflex()

print (gfg)

Output :

[[(11, False) (12,  True) (13,  True)]
 [(14,  True) (15,  True) (16,  True)]
 [(17,  True) (18,  True) (19,  True)]]

Numpy MaskedArray.masked_where() function | Python

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