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python | Numpy masked_equal() method

Last Updated : 19 Sep, 2019
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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
import numpy.ma as ma
  
# using numpy.ma.masked_equal() method
gfg = ma.masked_equal([1, 2, 3, 4], 3)
  
print(gfg)


Output :

[1 2 — 4]

Example #2 :




# import numpy
import numpy.ma as ma
  
# using numpy.ma.masked_equal() method
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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