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numpy.ma.row_stack

numpy.ma.append

# numpy.ma.vstack¶

`numpy.ma.``vstack`(tup) = <numpy.ma.extras._fromnxfunction_seq object>

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.stack` function 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. stacked : ndarray The array formed by stacking the given arrays.

`stack`
Join a sequence of arrays along a new axis.
`hstack`
Stack arrays in sequence horizontally (column wise).
`dstack`
Stack arrays in sequence depth wise (along third dimension).
`concatenate`
Join a sequence of arrays along an existing axis.
`vsplit`
Split array into a list of multiple sub-arrays vertically.

Notes

The function is applied to both the _data and the _mask, if any.

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]])
```