bundles / numpy 2.4.3 / numpy / ma / core / masked_invalid
function
numpy.ma.core:masked_invalid
source: /numpy/ma/core.py :2389
Signature
def masked_invalid ( a , copy = True ) Summary
Mask an array where invalid values occur (NaNs or infs).
Extended Summary
This function is a shortcut to masked_where, with condition = ~(np.isfinite(a)). Any pre-existing mask is conserved. Only applies to arrays with a dtype where NaNs or infs make sense (i.e. floating point types), but accepts any array_like object.
Examples
import numpy as np import numpy.ma as ma a = np.arange(5, dtype=float) a[2] = np.nan a[3] = np.inf a ma.masked_invalid(a)
See also
- masked_where
Mask where a condition is met.
Aliases
-
numpy.ma.masked_invalid