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NumPy | itemset method

schedule Aug 11, 2023

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Parameters Return value Examples 2D arrays

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Numpy's itemset(~) sets a specific value in the source array. This is done in-place, that is, no new Numpy array is created.

Parameters

1. args

The allowed values are as follows:

First argument	Second argument	Description
Value to be set		Array must be of size one
Index (int)	Value to be set	Used for 1D arrays
Index (tuple of int)	Value to be set	Used for multi-dimensional arrays

Return value

None - the setting is done in-place.

Examples


        
        
            
                
                
                    a = np.array([5,6,7,8])
a.itemset(0, 9)
a
                
            
            array([9, 6, 7, 8])

2D arrays

Consider the following 2D array:


        
        
            
                
                
                    a = np.array([[5,6],[7,8]])
a
                
            
            array([[5, 6],
       [7, 8]])

To set a value as a flattened array, provide an int as the first argument like so:


        
        
            
                
                
                    a = np.array([[5,6],[7,8]])
a.itemset(3, 9)
a
                
            
            array([[5, 6],
       [7, 9]])

To set a value in the 2nd row 1st column:


        
        
            
                
                
                    a = np.array([[5,6],[7,8]])
a.itemset((1,0), 9)
a
                
            
            array([[5, 6],
       [9, 8]])

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Published by Isshin Inada

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