  NumPy | Python Methods and Functions

`numpy.MaskedArray.masked_greater()` is used to mask the array, `numpy.MaskedArray.masked_greater()` which is greater than the specified value. This function is a shortcut to ` masked_where ` with the condition ` = (arr & gt; value). `

Syntax: ` numpy.ma.masked_greater (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 & gt; 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:

 ` # Python program explaining ` ` # numpy. MaskedArray.masked_greater () 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_greater methods # to enter an array, where value & gt; 2 mask_arr = ma.masked_greater ( in_arr, 2 ) print ( "Masked array:" , mask_arr) `

Output:

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

Code # 2:

` `

` # Python program explaining # numpy.MaskedArray.masked_greater () method    # import numy as geek # and numpy.ma module as ma import numpy as g eek 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.masked_greater methods # to enter an array, where value & gt; 5e2 mask_arr = ma.masked_greater ( 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: [- 3e-05 -45.0 - 500.0] `