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numpy.reshape
numpy doc

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

numpy.transpose

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

numpy.ndarray.shape

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 ...

numpy.moveaxis

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

numpy.resize

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

numpy.tensordot

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

numpy.swapaxes

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.

numpy.stack

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

numpy.einsum

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

numpy.expand_dims

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

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