numpy.repeat  
numpy.repeat(a, repeats, axis=None) [source]
 
Repeat elements of an array.    
Parameters:

 
a : array_like  
Input array.  
repeats : int or array of ints  
The number of repetitions for each element. repeats is broadcasted to fit the shape of the given axis.  
axis : int, optional  
The axis along which to repeat values. By default, use the flattened input array, and return a flat output array.     
Returns:

 
repeated_array : ndarray  
Output array which has the same shape as a, except along the given axis.       See also  
tile
 Tile an array.   Examples >>> np.repeat(3, 4)
array([3, 3, 3, 3])
>>> x = np.array([[1,2],[3,4]])
>>> np.repeat(x, 2)
array([1, 1, 2, 2, 3, 3, 4, 4])
>>> np.repeat(x, 3, axis=1)
array([[1, 1, 1, 2, 2, 2],
       [3, 3, 3, 4, 4, 4]])
>>> np.repeat(x, [1, 2], axis=0)
array([[1, 2],
       [3, 4],
       [3, 4]])
 


    
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