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]]
