Skip to main content
`Ctrl`+`K`

# numpy.ma.masked_less_equal

ma.masked_less_equal(x, value, copy=True)

  Mask an array where less than or equal to a given value.

  This function is a shortcut to `masked_where`, with condition = (x <= value).

  See also

  `masked_where`

    Mask where a condition is met.

  Examples

      >>> import numpy as np
      >>> import numpy.ma as ma
      >>> a = np.arange(4)
      >>> a
      array([0, 1, 2, 3])
      >>> ma.masked_less_equal(a, 2)
      masked_array(data=[--, --, --, 3],
                   mask=[ True,  True,  True, False],
             fill_value=999999)