dask.array.ma.masked_inside

dask.array.ma.masked_inside¶

dask.array.ma.masked_inside(x, v1, v2)[source]¶

Mask an array inside a given interval.

This docstring was copied from numpy.ma.masked_inside.

Some inconsistencies with the Dask version may exist.

Shortcut to masked_where, where condition is True for x inside the interval [v1,v2] (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_inside(x, -0.3, 0.3)  
masked_array(data=[0.31, 1.2, --, --, -0.4, -1.1],
             mask=[False, False,  True,  True, False, False],
       fill_value=1e+20)

The order of v1 and v2 doesn’t matter.

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

dask.array.ma.masked_greater_equal

dask.array.ma.masked_invalid