numpy.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. |
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Returns: |
squeezed : ndarray The input array, but with all or a subset of the dimensions of length 1 removed. This is always |
Raises: |
ValueError If |
See also
expand_dims
reshape
>>> 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)
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https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.squeeze.html