vstack(tup, allow_unknown_chunksizes=False)

This docstring was copied from numpy.vstack.

Some inconsistencies with the Dask version may exist.

This is equivalent to concatenation along the first axis after 1-D arrays of shape :None:None:`(N,)` have been reshaped to :None:None:`(1,N)`. Rebuilds arrays divided by :None:None:`vsplit`.

This function makes most sense for arrays with up to 3 dimensions. For instance, for pixel-data with a height (first axis), width (second axis), and r/g/b channels (third axis). The functions :None:None:`concatenate`, stack and block provide more general stacking and concatenation operations.

Parameters

tup : sequence of ndarrays

The arrays must have the same shape along all but the first axis. 1-D arrays must have the same length.

Returns

stacked : ndarray

The array formed by stacking the given arrays, will be at least 2-D.

Stack arrays in sequence vertically (row wise).

See Also

block

Assemble an nd-array from nested lists of blocks.

column_stack

Stack 1-D arrays as columns into a 2-D array.

concatenate

Join a sequence of arrays along an existing axis.

dstack

Stack arrays in sequence depth wise (along third axis).

hstack

Stack arrays in sequence horizontally (column wise).

stack

Join a sequence of arrays along a new axis.

vsplit

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

Examples

This example is valid syntax, but we were not able to check execution

>>> a = np.array([1, 2, 3])  # doctest: +SKIP
... b = np.array([4, 5, 6])  # doctest: +SKIP
... np.vstack((a,b))  # doctest: +SKIP
array([[1, 2, 3],
       [4, 5, 6]])

This example is valid syntax, but we were not able to check execution

>>> a = np.array([[1], [2], [3]])  # doctest: +SKIP
... b = np.array([[4], [5], [6]])  # doctest: +SKIP
... np.vstack((a,b))  # doctest: +SKIP
array([[1],
       [2],
       [3],
       [4],
       [5],
       [6]])

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

dask.utils.concatenate dask.array.routines.dstack dask.array.core.block dask.array.routines.hstack

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