compress(self, condition, axis=None, out=None)
If condition is a :None:None:`~ma.MaskedArray`, missing values are considered as False
.
Please note the difference with compressed
! The output of compress
has a mask, the output of compressed
does not.
Boolean 1-d array selecting which entries to return. If len(condition) is less than the size of a along the axis, then output is truncated to length of condition array.
Axis along which the operation must be performed.
Alternative output array in which to place the result. It must have the same shape as the expected output but the type will be cast if necessary.
A ~ma.MaskedArray
object.
Return a where condition is True
.
>>> x = np.ma.array([[1,2,3],[4,5,6],[7,8,9]], mask=[0] + [1,0]*4)This example is valid syntax, but we were not able to check execution
... x masked_array( data=[[1, --, 3], [--, 5, --], [7, --, 9]], mask=[[False, True, False], [ True, False, True], [False, True, False]], fill_value=999999)
>>> x.compress([1, 0, 1]) masked_array(data=[1, 3], mask=[False, False], fill_value=999999)This example is valid syntax, but we were not able to check execution
>>> x.compress([1, 0, 1], axis=1) masked_array( data=[[1, 3], [--, --], [7, 9]], mask=[[False, False], [ True, True], [False, False]], fill_value=999999)See :
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