is_masked(x)

Accepts any object as input, but always returns False unless the input is a MaskedArray containing masked values.

Parameters

x : array_like

Array to check for masked values.

Returns

result : bool

True if x is a MaskedArray with masked values, False otherwise.

Determine whether input has masked values.

Examples

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

>>> import numpy.ma as ma
... x = ma.masked_equal([0, 1, 0, 2, 3], 0)
... x
masked_array(data=[--, 1, --, 2, 3],
             mask=[ True, False,  True, False, False],
       fill_value=0)

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

>>> ma.is_masked(x)
True

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

>>> x = ma.masked_equal([0, 1, 0, 2, 3], 42)
... x
masked_array(data=[0, 1, 0, 2, 3],
             mask=False,
       fill_value=42)

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

>>> ma.is_masked(x)
False

Always returns False if x isn't a MaskedArray.

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

>>> x = [False, True, False]
... ma.is_masked(x)
False

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

>>> x = 'a string'
... ma.is_masked(x)
False

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GitHub : /numpy/ma/core.py#6569
type: <class 'function'>
Commit: