Prototype: numpy.hstack(tup)
where tup is the array of arrays, The arrays must have the same shape, except in the dimensioncorresponding to
axis (the first, by default).
is equivalent to: np.concatenate(tup, axis=1)
Numpy.hstack() is similar to row stacking
program example:
>>> 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]])
Prototype: numpy.vstack(tup)
Equivalent to: np.concatenate(tup, axis=0) iftup contains arrays thatare at least 2-dimensional.
Numpy.vstack() is similar to column stacking
Program example:
>>> 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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Who can remember this!...
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