numpy.vstack — NumPy v1.13 Manual (original) (raw)
Stack arrays in sequence vertically (row wise).
Take a sequence of arrays and stack them vertically to make a single array. Rebuild arrays divided by vsplit.
This function continues to be supported for backward compatibility, but you should prefer np.concatenate or np.stack. The np.stackfunction was added in NumPy 1.10.
| Parameters: | tup : sequence of ndarrays Tuple containing arrays to be stacked. The arrays must have the same shape along all but the first axis. |
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| Returns: | stacked : ndarray The array formed by stacking the given arrays. |
See also
Join a sequence of arrays along a new axis.
Stack arrays in sequence horizontally (column wise).
Stack arrays in sequence depth wise (along third dimension).
Join a sequence of arrays along an existing axis.
Split array into a list of multiple sub-arrays vertically.
Assemble arrays from blocks.
Notes
Equivalent to np.concatenate(tup, axis=0) if tup contains arrays that are at least 2-dimensional.
Examples
a = np.array([1, 2, 3]) b = np.array([2, 3, 4]) np.vstack((a,b)) array([[1, 2, 3], [2, 3, 4]])
a = np.array([[1], [2], [3]]) b = np.array([[2], [3], [4]]) np.vstack((a,b)) array([[1], [2], [3], [2], [3], [4]])