# numpy.dsplit

numpy.dsplit(ary, indices_or_sections)

  Split array into multiple sub-arrays along the 3rd axis (depth).

  Please refer to the `split` documentation. `dsplit` is equivalent to `split` with `axis=2`, the array is always split along the third axis provided the array dimension is greater than or equal to 3.

  See also

  `split`

    Split an array into multiple sub-arrays of equal size.

  Examples

      >>> x = np.arange(16.0).reshape(2, 2, 4)
      >>> x
      array([[[ 0.,   1.,   2.,   3.],
              [ 4.,   5.,   6.,   7.]],
             [[ 8.,   9.,  10.,  11.],
              [12.,  13.,  14.,  15.]]])
      >>> np.dsplit(x, 2)
      [array([[[ 0.,  1.],
              [ 4.,  5.]],
             [[ 8.,  9.],
              [12., 13.]]]), array([[[ 2.,  3.],
              [ 6.,  7.]],
             [[10., 11.],
              [14., 15.]]])]
      >>> np.dsplit(x, np.array([3, 6]))
      [array([[[ 0.,   1.,   2.],
              [ 4.,   5.,   6.]],
             [[ 8.,   9.,  10.],
              [12.,  13.,  14.]]]),
       array([[[ 3.],
              [ 7.]],
             [[11.],
              [15.]]]),
      array([], shape=(2, 2, 0), dtype=float64)]

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