Remove single-dimensional entries from the shape of an array.
- axisNone 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.
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. Note that if all axes are squeezed, the result is a 0d array and not a scalar.
If axis is not None, and an axis being squeezed is not of length 1
>>> x = np.array([[, , ]]) >>> 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) >>> x = np.array([]) >>> x.shape (1, 1) >>> np.squeeze(x) array(1234) # 0d array >>> np.squeeze(x).shape () >>> np.squeeze(x)[()] 1234