sciPy stats.threshold() function | Python
Last Updated :
20 Feb, 2019
scipy.stats.threshold(a, threshmin=None, threshmax=None, newval=0) function clips the give array. Values off the set limits can be replaced by ‘newval’ parameter.
Parameters :
arr : [array_like] Input array or object to clip.
threshmin : (float, int) Minimum threshold. By default is None
threshmax : (float, int) Maximum threshold. By default is None
newval : (float, int) Value to put in place of values(that are out of the limits).
Results : Clipped array with values(off the limits) replaced by newval.
Code #1: Working
import numpy as np
from scipy import stats
arr1 = [ 0 , 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 ]
print ( "\narr1 : " , arr1)
print ( "\nclipped arr1 : \n" , stats.threshold(
arr1, threshmin = 2 , threshmax = 8 , newval = - 1 ))
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Output :
arr1 : [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
clipped arr1 :
[-1 -1 2 3 4 5 6 7 8 -1]
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