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]
