NumPy Array manipulation: hstack() function
The hstack() function is used to stack arrays in sequence horizontally (column wise).
This is equivalent to concatenation along the second axis, except for 1-D arrays where it concatenates along the first axis. Rebuilds arrays divided by hsplit.
This function makes most sense for arrays with up to 3 dimensions. For instance, for pixel-data with a height (first axis), width (second axis), and r/g/b channels (third axis). The functions concatenate, stack and block provide more general stacking and concatenation operations.
|tup||The arrays must have the same shape along all but the second axis, except 1-D arrays which can be any length.||Required|
stacked : ndarray The array formed by stacking the given arrays.
>>> import numpy as np >>> x = np.array((3,5,7)) >>> y = np.array((5,7,9)) >>> np.hstack((x,y)) array([3, 5, 7, 5, 7, 9])
>>> import numpy as np >>> x = np.array([, , ]) >>> y = np.array([, , ]) >>> np.hstack((x,y)) array([[3, 5], [5, 7], [7, 9]])
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