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 NumPy | repeat method
 schedule Aug 12, 2023 
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The np.repeat(~) method is used to create a Numpy array by repeating the provided value.
Parameters
1. a | number or array-like
✜ Data that is to be repeated.
2. repeatslink | int
✜ The number of times you'd like to repeat the value.
3. axislink | int | optional
✜ Axis along which to repeat. By default, you would get a one-dimensional flat array.
Return value
A Numpy array with the first parameter, a, repeated according to your parameters repeats and axis.
Examples
Repeating a number
        
        
            
                
                
                    np.repeat(1, 3)
                
            
            array([1, 1, 1])
        
    Repeating an one-dimensional array
        
        
            
                
                
                    np.repeat([1,2], 3)
                
            
            array([1, 1, 1, 2, 2, 2])
        
    Repeating a two-dimensional array
Repeating a two-dimensional array to create a flattened array:
        
        
            
                
                
                    np.repeat([[1,2], [3,4]], 2)
                
            
            array([1, 1, 2, 2, 3, 3, 4, 4])
        
    Since we did not specify the axis (i.e. the third parameter), we end up with a flattened Numpy array.
Repeating a two-dimensional array vertically
To repeat a two-dimensional array vertically, set axis=0 like follows:
        
        
            
                
                
                    np.repeat([[1,2], [3,4]], 2, axis=0)
                
            
            array([[1, 2],       [1, 2],       [3, 4],       [3, 4]])
        
    Repeating a two-dimensional array horizontally
To repeat a two-dimensional array horizontally, set axis=1 like follows:
        
        
            
                
                
                    np.repeat([[1,2], [3,4]], 2, axis=1)
                
            
            array([[1, 1, 2, 2],       [3, 3, 4, 4]])
        
    Published by Isshin Inada
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