Gives a new shape to an array without changing its data. Parameters. aarray_like. Array to be reshaped. newshapeint or tuple of ints. The ...

x = np.ones((1, 2, 3)) >>> np.transpose(x, (1, 0, 2)).shape (2, 1, 3). > ...

Tuple of array dimensions. The shape property is usually used to get the current shape of an array, but may also be used to reshape the array in-place by ...

np.transpose(x).shape (5, 4, 3) >>> np.swapaxes(x, 0, -1).shape (5, 4, ...

When the total size of the array does not change reshape should be used. In most other cases either ...

The shape of the result consists of the non-contracted axes of the first tensor, followed by the ...

For earlier NumPy versions a view of a is returned only if the order of the axes is changed, otherwise the input array is returned. Examples.

New in version 1.10.0. Parameters. arrayssequence of array_like. Each array must have the same shape. axis ...

If the output shape is not provided in this format einsum will be calculated ... Tensor contraction:.

y = np.expand_dims(x, axis=0) >>> y array([[1, 2]]) >>> y.shape (1, 2).