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numpy.ma.hstack(tup) =
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Stack arrays in sequence horizontally (column wise).
Take a sequence of arrays and stack them horizontally to make a single array. Rebuild arrays divided by
hsplit
.Parameters: tup : sequence of ndarrays
All arrays must have the same shape along all but the second 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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vstack
- Stack arrays in sequence vertically (row wise).
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dstack
- Stack arrays in sequence depth wise (along third axis).
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concatenate
- Join a sequence of arrays along an existing axis.
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hsplit
- Split array along second axis.
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.hstack((a,b)) array([1, 2, 3, 2, 3, 4]) >>> a = np.array([[1],[2],[3]]) >>> b = np.array([[2],[3],[4]]) >>> np.hstack((a,b)) array([[1, 2], [2, 3], [3, 4]])
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numpy.ma.hstack()
2017-01-10 18:15:22
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