nums.numpy.squeeze

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

Remove single-dimensional entries from the shape of an array.

This docstring was copied from numpy.squeeze.

Some inconsistencies with the NumS version may exist.

Parameters: a (BlockArray) – Input data.
Returns: squeezed – 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.
Return type: BlockArray

See also

expand_dims: The inverse operation, adding singleton dimensions
reshape: Insert, remove, and combine dimensions, and resize existing ones

Notes

axis not supported.

Examples

The doctests shown below are copied from NumPy. They won’t show the correct result until you operate get().

>>> x = nps.array([[[0], [1], [2]]])  
>>> x.shape  
(1, 3, 1)
>>> nps.squeeze(x).shape  
(3,)
>>> x = nps.array([[1234]])  
>>> x.shape  
(1, 1)
>>> nps.squeeze(x).get()  
array(1234)  # 0d array
>>> nps.squeeze(x).shape  
()
>>> nps.squeeze(x)[()].get()  
array(1234)

nums.numpy.expand_dims

nums.numpy.swapaxes