Numpy MaskedArray.masked_less () Function | python

NumPy | Python Methods and Functions

numpy.MaskedArray.masked_less() is used to mask an array where the value is less than the specified one This function is a shortcut to masked_where with condition = (arr & lt; value).

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

Parameters:
arr: [ ndarray] Input array which we want to mask.
value: [int] It is used to mask the array element which are & lt; value.
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:

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# Python program explaining
# numpy. MaskedArray.masked_less () 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_less methods
# to enter an array where the value is & lt; 2

mask_arr = ma.masked_less (in_arr, 2 )

print ( "Masked array:" , mask_arr)

Output :

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

Code # 2:

# Python program explaining
# numpy.MaskedArray.masked_less () 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)

 
# using MaskedArray.masked_less methods
# to enter an array where the value is & lt; 5e2

mask_arr = ma.masked_less (in_arr, 5e2 )

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: [500000000.0 - - 40000.0 500.0] 




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