masked_equal(a, value)

This docstring was copied from numpy.ma.masked_equal.

Some inconsistencies with the Dask version may exist.

This function is a shortcut to masked_where , with :None:None:`condition` = (x == value). For floating point arrays, consider using masked_values(x, value) .

Mask an array where equal to a given value.

See Also

masked_values

Mask using floating point equality.

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(4)  # doctest: +SKIP
... a  # doctest: +SKIP
array([0, 1, 2, 3])

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

>>> ma.masked_equal(a, 2)  # doctest: +SKIP
masked_array(data=[0, 1, --, 3],
             mask=[False, False,  True, False],
       fill_value=2)

See :

Back References

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

dask.array.ma.masked_values dask.array.ma.masked_where

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File: /dask/array/ma.py#45
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