numpy.select() function | Python
numpy.select()()
function return an array drawn from elements in choicelist, depending on conditions.
Syntax : numpy.select(condlist, choicelist, default = 0)
Parameters :
condlist : [list of bool ndarrays] It determine from which array in choicelist the output elements are taken. When multiple conditions are satisfied, the first one encountered in condlist is used.
choicelist : [list of ndarrays] The list of arrays from which the output elements are taken. It has to be of the same length as condlist.
default : [scalar, optional] The element inserted in output when all conditions evaluate to False.
Return : [ndarray] An array drawn from elements in choicelist, depending on conditions.
Code #1 :
import numpy as geek
arr = geek.arange( 8 )
condlist = [arr< 3 , arr> 4 ]
choicelist = [arr, arr * * 3 ]
gfg = geek.select(condlist, choicelist)
print (gfg)
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Output :
[ 0, 1, 2, 0, 0, 125, 216, 343]
Code #2 :
import numpy as geek
arr = geek.arange( 8 )
condlist = [arr< 4 , arr> 6 ]
choicelist = [arr, arr * * 2 ]
gfg = geek.select(condlist, choicelist)
print (gfg)
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Output :
[ 0, 1, 2, 3, 0, 0, 0, 49]
Last Updated :
22 Apr, 2020
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