ImageFile.compress¶
- ImageFile.compress(condition, axis=None, out=None)¶
Return a where condition is
True
.If condition is a ~ma.MaskedArray, missing values are considered as
False
.- conditionvar
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{None, int}, optional
Axis along which the operation must be performed.
- out{None, ndarray}, optional
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.
- resultMaskedArray
A
MaskedArray
object.
Please note the difference with
compressed()
! The output ofcompress()
has a mask, the output ofcompressed()
does not.>>> x = np.ma.array([[1,2,3],[4,5,6],[7,8,9]], mask=[0] + [1,0]*4) >>> 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)
>>> x.compress([1, 0, 1], axis=1) masked_array( data=[[1, 3], [--, --], [7, 9]], mask=[[False, False], [ True, True], [False, False]], fill_value=999999)