Numpy MaskedArray.masked_inside () function | python

numpy.MaskedArray.masked_inside() is used to mask an array within a given interval. This function is a shortcut to masked_where, where the condition is true for arr within the interval [v1, v2] (v1 & lt; = arr & lt; = v2) , Boundaries v1 and v2 can be specified in any order.

Syntax: numpy.ma.masked_inside (arr, v1, v2, copy = True)

Parameters:
arr: [ndarray] Input array which we want to mask.
v1, v2: [int] Lower and upper range.
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 resultant array after masking.

Code # 1:

Output :

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

Code # 2:

# Python program explaining
# numpy. MaskedArray.masked_inside () 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 , 2 , 3 , - 1 , 2 ])

print ( "Input array:" , in_arr)

 
# applying MaskedArray.masked_inside methods
# to enter an array in the range [-1, 1]

mask_arr = ma.masked_inside (in_arr, - 1 , 1 )

print ( "Masked array:" , mask_arr)

# Python program explaining
# numpy.MaskedArray.masked_inside () 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 ([ 5e8 , 3e - 5 , - 45.0 , 4e4 , 5e2 ])

print ( "Input array:" , in_arr)

  
# applying MaskedArray methods.masked_inside
# to enter an array in the range [5e2, 5e8]

mask_arr = ma.masked_inside (in_arr, 5e2 , 5e8 )

print ( "Masked array:" , mask_arr)

Output :

 Input array: [5.0e + 08 3.0e-05 -4.5e + 01 4.0e + 04 5.0e + 02] Masked array: [- 3e-05 -45.0 - -]