Skip to content
Related Articles

Related Articles

Improve Article

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




# 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]

 Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.  

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning – Basic Level Course

My Personal Notes arrow_drop_up
Recommended Articles
Page :