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numpy.ma.vstack(tup) =
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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
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stack
- Join a sequence of arrays along a new axis.
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hstack
- Stack arrays in sequence horizontally (column wise).
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dstack
- Stack arrays in sequence depth wise (along third dimension).
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concatenate
- Join a sequence of arrays along an existing axis.
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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]])
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numpy.ma.vstack()
2017-01-10 18:15:54
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