masked_invalid(a)

This docstring was copied from numpy.ma.masked_invalid.

Some inconsistencies with the Dask version may exist.

This function is a shortcut to masked_where , with :None:None:`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.

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

See Also

masked_where

Mask where a condition is met.

Examples

This example is valid syntax, but we were not able to check execution

>>> import numpy.ma as ma  # doctest: +SKIP
... a = np.arange(5, dtype=float)  # doctest: +SKIP
... a[2] = np.NaN  # doctest: +SKIP
... a[3] = np.PINF  # doctest: +SKIP
... a  # doctest: +SKIP
array([ 0.,  1., nan, inf,  4.])

This example is valid syntax, but we were not able to check execution

>>> ma.masked_invalid(a)  # doctest: +SKIP
masked_array(data=[0.0, 1.0, --, --, 4.0],
             mask=[False, False,  True,  True, False],
       fill_value=1e+20)

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

dask.array.ma.masked_where

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