# 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`

    Mask where a condition is met.

  Notes

  The array x is prefilled with its filling value.

  Examples

      >>> 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.

      >>> 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)