numpy.vstack numpy.hstack_stack arrays in sequence vertically (row wise).-优快云博客

本文详细介绍了NumPy库中数组堆叠的功能，包括垂直堆叠(vstack)和水平堆叠(hstack)的方法。通过实例展示了如何使用这些函数将多个数组组合成一个单一的数组，适用于需要处理多维数据的场景。

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numpy.vstack

Stack arrays in sequence vertically (row wise)
垂直（按行）顺序堆叠数组。
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.

Examples例子

>>> 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]])

numpy.hstack

Stack arrays in sequence horizontally (column wise).
水平（按列）顺序堆叠数组。
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.

Examples例子

>>> 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]])