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# numpy.flipud

`numpy.``flipud`(m)

  Up-down flip.

  Flip 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 .

  Notes

  Equivalent to `A[::-1,...]`. Does not require the array to be two-dimensional.

  Examples

      >>> 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.]])

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

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

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