- scipy.stats.threshold(a, threshmin=None, threshmax=None, newval=0)¶
Clip array to a given value.
Similar to numpy.clip(), except that values less than threshmin or greater than threshmax are replaced by newval, instead of by threshmin and threshmax respectively.
a : array_like
Data to threshold.
threshmin : float, int or None, optional
Minimum threshold, defaults to None.
threshmax : float, int or None, optional
Maximum threshold, defaults to None.
newval : float or int, optional
Value to put in place of values in a outside of bounds. Defaults to 0.
out : ndarray
The clipped input array, with values less than threshmin or greater than threshmax replaced with newval.
>>> a = np.array([9, 9, 6, 3, 1, 6, 1, 0, 0, 8]) >>> from scipy import stats >>> stats.threshold(a, threshmin=2, threshmax=8, newval=-1) array([-1, -1, 6, 3, -1, 6, -1, -1, -1, 8])