numpy.squeeze(a, axis=None)[source]¶Remove single-dimensional entries from the shape of an array.
Input data.
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.
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.
If axis is not None, and an axis being squeezed is not of length 1
See also
expand_dimsThe inverse operation, adding singleton dimensions
reshapeInsert, 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)