  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.

Code # 1:

< / tr>
 ` # 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] `