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numpy的sqlit用法

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numpy的sqlit用法

官方文档
    Split an array into multiple sub-arrays as views into `ary`.

    Parameters
    ----------
    ary : ndarray
        Array to be divided into sub-arrays.
    indices_or_sections : int or 1-D array
        If `indices_or_sections` is an integer, N, the array will be divided
        into N equal arrays along `axis`.  If such a split is not possible,
        an error is raised.

        If `indices_or_sections` is a 1-D array of sorted integers, the entries
        indicate where along `axis` the array is split.  For example,
        ``[2, 3]`` would, for ``axis=0``, result in

          - ary[:2]
          - ary[2:3]
          - ary[3:]

        If an index exceeds the dimension of the array along `axis`,
        an empty sub-array is returned correspondingly.
    axis : int, optional
        The axis along which to split, default is 0.

    Returns
    -------

例子1

arr = np.arange(9.0)
np.split(arr, 3)
# 打印输出
[array([0.,  1.,  2.]), array([3.,  4.,  5.]), array([6.,  7.,  8.])]

例子2

arr = np.arange(8.0)
np.split(arr, [3, 5, 6, 10])
# 打印输出
[array([0.,  1.,  2.]), array([3.,  4.]), array([5.]), array([6.,  7.]), array([], dtype=float64)]
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