Numpy MaskedArray.masked_equal () function | python

numpy.MaskedArray.masked_equal() is used to mask an array equal to a given value.

Syntax: numpy.ma.masked_equal (arr, value, copy = True)

Parameters:
arr: [ndarray] Input array which we want to mask.
value: [int] Element of masked array which we want to mask.
copy: [bool] If True (default) make a copy of arr in the result. If False modify arr in place and return a view.

Return: [MaskedArray] The result of masking.

Code # 1:

# Python program explaining
# numpy.MaskedArray .masked_equal () method

 
# import numy as a geek
# and the numpy.ma module as ma

import numpy as geek

import numpy.ma as ma

 
# create input array

in_arr = geek.array ([ 1 < code class = "plain">, 2 , 3 , - 1 , 2 ])

print ( "Input array:" , in_arr)

 
# applying MaskedArray.masked_equal methods
# to enter an array where value = 2

mask_arr = ma.masked_equal (in_arr, 2 )

print ( "Masked array:" , mask_arr)

Output :

 Input array: [1 2 3 -1 2] Masked array: [1 - 3 -1 -] 

Code # 2:

# Python program explaining
# numpy.MaskedArray.masked_equal () method

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

import numpy as geek

import numpy.ma as ma

 
# create input array

in_arr = geek.array ([ 2e8  , 3e - 5 , - 45.0 , 2e5 , 5e2 ])

print ( "Input array:" , in_arr)

 
# applying MaskedArray methods .masked_equal
# to enter an array where value = 5e2

mask_arr = ma.masked_equal (in_arr, 5e2 )

print ( " Masked array: " , mask_arr)

Output:

 Input array: [2.0e + 08 3.0e-05 -4.5e + 01 2.0e + 05 5.0e + 02] Masked array: [200000000.0 3e-05 -45.0 200000.0 -]