tensorly
.moveaxis
- moveaxis(a, source, destination)
Move axes of an array to new positions.
Other axes remain in their original order.
Added in version 1.11.0.
- Parameters:
- anp.ndarray
The array whose axes should be reordered.
- sourceint or sequence of int
Original positions of the axes to move. These must be unique.
- destinationint or sequence of int
Destination positions for each of the original axes. These must also be unique.
- Returns:
- resultnp.ndarray
Array with moved axes. This array is a view of the input array.
See also
transpose
Permute the dimensions of an array.
swapaxes
Interchange two axes of an array.
Examples
>>> import numpy as np >>> x = np.zeros((3, 4, 5)) >>> np.moveaxis(x, 0, -1).shape (4, 5, 3) >>> np.moveaxis(x, -1, 0).shape (5, 3, 4)
These all achieve the same result:
>>> np.transpose(x).shape (5, 4, 3) >>> np.swapaxes(x, 0, -1).shape (5, 4, 3) >>> np.moveaxis(x, [0, 1], [-1, -2]).shape (5, 4, 3) >>> np.moveaxis(x, [0, 1, 2], [-1, -2, -3]).shape (5, 4, 3)