# sciPy stats.threshold() function | Python

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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