numpy.ma.vstack¶
- numpy.ma.vstack(tup) = <numpy.ma.extras._fromnxfunction instance at 0x423ae60c>¶
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.
Parameters: tup : sequence of ndarrays
Tuple containing arrays to be stacked. The arrays must have the same shape along all but the first axis.
Returns: stacked : ndarray
The array formed by stacking the given arrays.
See also
- 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]])