# dask.array.ma.masked_outside

### dask.array.ma.masked_outside(x, v1, v2)

Mask an array outside a given interval.

This docstring was copied from numpy.ma.masked_outside.

Some inconsistencies with the Dask version may exist.

Shortcut to `masked_where`, where condition is True for x outside
the interval [v1,v2] (x < v1)|(x > v2).
The boundaries v1 and v2 can be given in either order.

#### SEE ALSO
[`masked_where`](dask.array.ma.masked_where.html.md#dask.array.ma.masked_where)
: Mask where a condition is met.

### Notes

The array x is prefilled with its filling value.

### Examples

```pycon
>>> import numpy as np
>>> 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 v1 and v2 doesn’t matter.

```pycon
>>> 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)
```

<!-- !! processed by numpydoc !! -->