Array Manipulation Routines

Basic operations

dpnp.copyto

Copies values from one array to another, broadcasting as necessary.

Changing array shape

dpnp.reshape	Gives a new shape to an array without changing its data.
dpnp.ravel	Return a contiguous flattened array.

Transpose-like operations

dpnp.moveaxis	Move axes of an array to new positions.
dpnp.rollaxis	Roll the specified axis backwards, until it lies in a given position.
dpnp.swapaxes	Interchange two axes of an array.
dpnp.transpose	Reverse or permute the axes of an array; returns the modified array.

See also

dpnp.dparray.T

Changing number of dimensions

dpnp.atleast_1d	Convert inputs to arrays with at least one dimension.
dpnp.atleast_2d	View inputs as arrays with at least two dimensions.
dpnp.atleast_3d	View inputs as arrays with at least three dimensions.
dpnp.expand_dims	Expand the shape of an array.
dpnp.squeeze	Remove single-dimensional entries from the shape of an array.

Changing kind of array

dpnp.asarray	Converts an input object into array.
dpnp.asnumpy	Returns the NumPy array with input data.
dpnp.asanyarray	Convert the input to an ndarray, but pass ndarray subclasses through.
dpnp.asfarray	Return an array converted to a float type.
dpnp.ascontiguousarray	Return a contiguous array (ndim >= 1) in memory (C order).

Joining arrays

dpnp.concatenate	Join a sequence of arrays along an existing axis.
dpnp.stack	Join a sequence of arrays along a new axis.
dpnp.hstack	Stack arrays in sequence horizontally (column wise).
dpnp.vstack	Stack arrays in sequence vertically (row wise).

Splitting arrays

Tiling arrays

dpnp.repeat

Repeat elements of an array.

Adding and removing elements

dpnp.unique

Find the unique elements of an array.

Rearranging elements

dpnp.reshape

Gives a new shape to an array without changing its data.