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sciPy stats.threshold() function | Python

Last Updated : 20 Feb, 2019
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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




# stats.threshold() method  
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))


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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