numpy.ma.squeeze¶
-
numpy.ma.
squeeze
(a, axis=None)[source]¶ Remove single-dimensional entries from the shape of an array.
Parameters: a : array_like
Input data.
axis : None or int or tuple of ints, optional
New in version 1.7.0.
Selects a subset of the single-dimensional entries in the shape. If an axis is selected with shape entry greater than one, an error is raised.
Returns: squeezed : ndarray
The input array, but with all or a subset of the dimensions of length 1 removed. This is always a itself or a view into a.
Raises: ValueError
If axis is not None, and an axis being squeezed is not of length 1
See also
expand_dims
- The inverse operation, adding singleton dimensions
reshape
- Insert, remove, and combine dimensions, and resize existing ones
Examples
>>> x = np.array([[[0], [1], [2]]]) >>> x.shape (1, 3, 1) >>> np.squeeze(x).shape (3,) >>> np.squeeze(x, axis=0).shape (3, 1) >>> np.squeeze(x, axis=1).shape Traceback (most recent call last): ... ValueError: cannot select an axis to squeeze out which has size not equal to one >>> np.squeeze(x, axis=2).shape (1, 3)