numpy.MaskedArray.masked_outside()
function is used to mask an array outside of a given interval. This function is a Shortcut to masked_where, where condition is True for arr outside the interval [v1, v2] (arr <v1)|(arr > v2)
. The boundaries v1 and v2 can be given in either order.
Syntax :
numpy.ma.masked_outside(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 :
# Python program explaining # numpy.MaskedArray.masked_outside() method # importing numpy as geek # and numpy.ma module as ma import numpy as geek
import numpy.ma as ma
# creating input array in_arr = geek.array([ 1 , 2 , 3 , - 1 , 2 ])
print ( "Input array : " , in_arr)
# applying MaskedArray.masked_outside methods mask_arr = ma.masked_outside(in_arr, - 1 , 1 )
print ( "Masked array : " , mask_arr)
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Input array : [ 1 2 3 -1 2] Masked array : [1 -- -- -1 --]
Code #2 :
# Python program explaining # numpy.MaskedArray.masked_outside() method # importing numpy as geek # and numpy.ma module as ma import numpy as geek
import numpy.ma as ma
# creating input array in_arr = geek.array([ 5e8 , 3e - 5 , - 45.0 , 4e4 , 5e2 ])
print ( "Input array : " , in_arr)
# applying MaskedArray.masked_outside methods mask_arr = ma.masked_outside(in_arr, 5e2 , 5e8 )
print ( "Masked array : " , mask_arr)
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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]