numpy.ma.masked_invalid()

numpy.ma.masked_invalid

numpy.ma.masked_invalid(a, copy=True) [source]

Mask an array where invalid values occur (NaNs or infs).

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.

See also

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