def masked_less_equal(x, value, copy=True):
return masked_where(less_equal(x, value), x, copy=copy)<EOL>
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.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)