masked_outside(x, v1, v2, copy=True)

Shortcut to masked_where , where :None:None:`condition` is True for :None:None:`x` outside the interval [v1,v2] (x < v1)|(x > v2). The boundaries :None:None:`v1` and :None:None:`v2` can be given in either order.

Notes

The array :None:None:`x` is prefilled with its filling value.

Mask an array outside a given interval.

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
... x = [0.31, 1.2, 0.01, 0.2, -0.4, -1.1]
... ma.masked_outside(x, -0.3, 0.3)
masked_array(data=[--, --, 0.01, 0.2, --, --],
             mask=[ True,  True, False, False,  True,  True],
       fill_value=1e+20)

The order of :None:None:`v1` and :None:None:`v2` doesn't matter.

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

>>> ma.masked_outside(x, 0.3, -0.3)
masked_array(data=[--, --, 0.01, 0.2, --, --],
             mask=[ True,  True, False, False,  True,  True],
       fill_value=1e+20)

See :

Back References

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

numpy.ma.core.masked_where dask.array.ma.masked_outside

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GitHub : /numpy/ma/core.py#2143
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