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NumPy Array manipulation: flipud() function

numpy.flipud() function

The flipud() function is used to flip an given array in the up/down direction.
Flip the entries in each column in the up/down direction. Rows are preserved, but appear in a different order than before.

Syntax:

numpy.flipud(m)
NumPy manipulation: flipud() function

Version: 1.15.0

Parameter:

Name Description Required /
Optional
m Input array. Required

Return value:

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

Example-1: numpy.flipud() function

>>> import numpy as np
>>> X = np.diag([1.0, 3, 5])
>>> X
array([[ 1.,  0.,  0.],
       [ 0.,  3.,  0.],
       [ 0.,  0.,  5.]])

Pictorial Presentation:

NumPy manipulation: flipud() function

Example-2: numpy.flipud() function

>>> import numpy as np
>>> X = np.diag([1.0, 3, 5])	   
>>> np.flipud(X)
array([[ 0.,  0.,  5.],
       [ 0.,  3.,  0.],
       [ 1.,  0.,  0.]])

Pictorial Presentation:

NumPy manipulation: flipud() function

Example-3: numpy.flipud()

>>> import numpy as np	   
>>> X = np.random.randn(3,5,7)
>>> np.all(np.flipud(X) == X[::-1,...])
True

Python - NumPy Code Editor:

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