`numpy.ma.core:masked_inside`

source: /numpy/ma/core.py :2165

Signature

def masked_inside ( x , v1 , v2 , copy = True )

Summary

Mask an array inside a given interval.

Extended Summary

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.

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)

The order of `v1` and `v2` doesn't matter.

ma.masked_inside(x, 0.3, -0.3)

Aliases