numpy.concatenate

numpy.concatenate((a1, a2, ...), axis=0)

Join a sequence of arrays together.

Parameters:

a1, a2, ... : sequence of ndarrays

The arrays must have the same shape, except in the dimension corresponding to axis (the first, by default).

axis : int, optional

The axis along which the arrays will be joined. Default is 0.

Returns:

res : ndarray

The concatenated array.

See also

array_split

Split an array into multiple sub-arrays of equal or near-equal size.

split

Split array into a list of multiple sub-arrays of equal size.

hsplit

Split array into multiple sub-arrays horizontally (column wise)

vsplit

Split array into multiple sub-arrays vertically (row wise)

dsplit

Split array into multiple sub-arrays along the 3rd axis (depth).

hstack

Stack arrays in sequence horizontally (column wise)

vstack

Stack arrays in sequence vertically (row wise)

dstack

Stack arrays in sequence depth wise (along third dimension)

Examples

>>> a = np.array([[1, 2], [3, 4]])
>>> b = np.array([[5, 6]])
>>> np.concatenate((a, b), axis=0)
array([[1, 2],
       [3, 4],
       [5, 6]])