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numpy.rot90
numpy.rot90(m, k=1, axes=(0, 1))[source]- 
    
Rotate an array by 90 degrees in the plane specified by axes.
Rotation direction is from the first towards the second axis.
- Parameters
 - 
      
marray_like- 
        
Array of two or more dimensions.
 kinteger- 
        
Number of times the array is rotated by 90 degrees.
 - axes: (2,) array_like
 - 
        
The array is rotated in the plane defined by the axes. Axes must be different.
New in version 1.12.0.
 
 - Returns
 - 
      
yndarray- 
        
A rotated view of
m. 
 
See also
Notes
rot90(m, k=1, axes=(1,0)) is the reverse of rot90(m, k=1, axes=(0,1)) rot90(m, k=1, axes=(1,0)) is equivalent to rot90(m, k=-1, axes=(0,1))
Examples
>>> m = np.array([[1,2],[3,4]], int) >>> m array([[1, 2], [3, 4]]) >>> np.rot90(m) array([[2, 4], [1, 3]]) >>> np.rot90(m, 2) array([[4, 3], [2, 1]]) >>> m = np.arange(8).reshape((2,2,2)) >>> np.rot90(m, 1, (1,2)) array([[[1, 3], [0, 2]], [[5, 7], [4, 6]]]) 
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 https://numpy.org/doc/1.20/reference/generated/numpy.rot90.html