numpy.squeeze#

numpy.squeeze(a,axis=None)[source]#

Remove axes of length one froma.

Parameters:

aarray_like

Input data.

axisNone or int or tuple of ints, optional

Selects a subset of the entries of length one in theshape. If an axis is selected with shape entry greater thanone, an error is raised.

Returns:

squeezedndarray

The input array, but with all or a subset of thedimensions of length 1 removed. This is alwaysa itselfor a view intoa. Note that if all axes are squeezed,the result is a 0d array and not a scalar.

Raises:

ValueError

Ifaxis is not None, and an axis being squeezed is not of length 1

See also

expand_dims

The inverse operation, adding entries of length one

reshape

Insert, remove, and combine dimensions, and resize existing ones

Examples

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>>>importnumpyasnp>>>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).shapeTraceback (most recent call last):...ValueError:cannot select an axis to squeeze out which has sizenot equal to one>>>np.squeeze(x,axis=2).shape(1, 3)>>>x=np.array([[1234]])>>>x.shape(1, 1)>>>np.squeeze(x)array(1234)  # 0d array>>>np.squeeze(x).shape()>>>np.squeeze(x)[()]1234

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