xorbits.numpy.flipud#

xorbits.numpy.flipud(m)[源代码]#

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.

参数: m (array_like) – Input array.
返回: out – A view of m with the rows reversed. Since a view is returned, this operation is \(\mathcal O(1)\).
返回类型: array_like

参见

fliplr: Flip array in the left/right direction.
flip: Flip array in one or more dimensions.
rot90: Rotate array counterclockwise.

提示

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

实际案例

>>> 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])

This docstring was copied from numpy.