python | Numpy masked_equal() method (original) (raw)

Last Updated : 19 Sep, 2019

With the help of **numpy.ma.masked_equal()** method, we can get the mask a value that in an array by using numpy.ma.masked_equal() method.

Syntax : numpy.ma.masked_equal(array, value)

Return : Return the array after removing mask value.

Example #1 :

In this example we can see that by using numpy.ma.masked_equal() method, we are able to get the new array after removing mask value which is passed along with an array.

import numpy.ma as ma

gfg = ma.masked_equal([ 1 , 2 , 3 , 4 ], 3 )

print (gfg)

Output :

[1 2 — 4]

Example #2 :

import numpy.ma as ma

gfg = ma.masked_equal([[ 1 , 2 , 3 , 4 ],

`` [ 6 , 7 , 8 , 9 ]], 6 )

print (gfg)

Output :

[[1 2 3 4]
[– 7 8 9]]

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