Array manipulation routines

Hint

NumPy API Reference: Array manipulation routines

Basic operations

copyto(dst, src[, casting, where])	Copies values from one array to another with broadcasting.
shape(a)	Returns the shape of an array

Changing array shape

reshape(a, newshape[, order])	Returns an array with new shape and same elements.
ravel(a[, order])	Returns a flattened array.

See also

cupy.ndarray.flat and cupy.ndarray.flatten()

Transpose-like operations

moveaxis(a, source, destination)	Moves axes of an array to new positions.
rollaxis(a, axis[, start])	Moves the specified axis backwards to the given place.
swapaxes(a, axis1, axis2)	Swaps the two axes.
transpose(a[, axes])	Permutes the dimensions of an array.

See also

cupy.ndarray.T

Changing number of dimensions

atleast_1d(*arys)	Converts arrays to arrays with dimensions >= 1.
atleast_2d(*arys)	Converts arrays to arrays with dimensions >= 2.
atleast_3d(*arys)	Converts arrays to arrays with dimensions >= 3.
broadcast(*arrays)	Object that performs broadcasting.
broadcast_to(array, shape)	Broadcast an array to a given shape.
broadcast_arrays(*args)	Broadcasts given arrays.
expand_dims(a, axis)	Expands given arrays.
squeeze(a[, axis])	Removes size-one axes from the shape of an array.

Changing kind of array

asarray(a[, dtype, order])	Converts an object to array.
asanyarray(a[, dtype, order])	Converts an object to array.
asfortranarray(a[, dtype])	Return an array laid out in Fortran order in memory.
ascontiguousarray(a[, dtype])	Returns a C-contiguous array.
require(a[, dtype, requirements])	Return an array which satisfies the requirements.

Joining arrays

concatenate(tup[, axis, out])	Joins arrays along an axis.
stack(tup[, axis, out])	Stacks arrays along a new axis.
vstack(tup)	Stacks arrays vertically.
hstack(tup)	Stacks arrays horizontally.
dstack(tup)	Stacks arrays along the third axis.
column_stack(tup)	Stacks 1-D and 2-D arrays as columns into a 2-D array.

Splitting arrays

split(ary, indices_or_sections[, axis])	Splits an array into multiple sub arrays along a given axis.
array_split(ary, indices_or_sections[, axis])	Splits an array into multiple sub arrays along a given axis.
dsplit(ary, indices_or_sections)	Splits an array into multiple sub arrays along the third axis.
hsplit(ary, indices_or_sections)	Splits an array into multiple sub arrays horizontally.
vsplit(ary, indices_or_sections)	Splits an array into multiple sub arrays along the first axis.

Tiling arrays

tile(A, reps)	Construct an array by repeating A the number of times given by reps.
repeat(a, repeats[, axis])	Repeat arrays along an axis.

Adding and removing elements

append(arr, values[, axis])	Append values to the end of an array.
resize(a, new_shape)	Return a new array with the specified shape.
unique(ar[, return_index, return_inverse, …])	Find the unique elements of an array.
trim_zeros(filt[, trim])	Trim the leading and/or trailing zeros from a 1-D array or sequence.

Rearranging elements

flip(a[, axis])	Reverse the order of elements in an array along the given axis.
fliplr(a)	Flip array in the left/right direction.
flipud(a)	Flip array in the up/down direction.
reshape(a, newshape[, order])	Returns an array with new shape and same elements.
roll(a, shift[, axis])	Roll array elements along a given axis.
rot90(a[, k, axes])	Rotate an array by 90 degrees in the plane specified by axes.

cupy.triu cupy.copyto