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# numpy.flipud

numpy.flipud(m)

  Reverse the order of elements along axis 0 (up/down).

  For a 2-D array, this flips the entries in each column in the up/down direction. Rows are preserved, but appear in a different order than before.

  Parameters:
    m array_like

      Input array.

  Returns:
    out array_like

      A view of m with the rows reversed. Since a view is returned, this operation is \(\mathcal O(1)\).

  See also

  `fliplr`

    Flip array in the left/right direction.

  `flip`

    Flip array in one or more dimensions.

  `rot90`

    Rotate array counterclockwise.

  Notes

  Equivalent to `m[::-1, ...]` or `np.flip(m, axis=0)`. Requires the array to be at least 1-D.

  Examples

      >>> import numpy as np
      >>> A = np.diag([1.0, 2, 3])
      >>> A
      array([[1.,  0.,  0.],
             [0.,  2.,  0.],
             [0.,  0.,  3.]])
      >>> np.flipud(A)
      array([[0.,  0.,  3.],
             [0.,  2.,  0.],
             [1.,  0.,  0.]])

      >>> rng = np.random.default_rng()
      >>> A = rng.normal(size=(2,3,5))
      >>> np.all(np.flipud(A) == A[::-1,...])
      True

      >>> np.flipud([1,2])
      array([2, 1])