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Parameters Return value Examples Generate a random integer between 0 (inclusive) and 5 (exclusive)Generate a random integer between 2 (inclusive) and 5 (exclusive)Generate 10 random integers between 2 (inclusive) and 5 (exclusive)Generating a multi-dimensional array of random numbers Specifying a custom data-type

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NumPy | randint method

schedule Aug 12, 2023

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Python●NumPy

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Parameters Return value Examples Generate a random integer between 0 (inclusive) and 5 (exclusive)Generate a random integer between 2 (inclusive) and 5 (exclusive)Generate 10 random integers between 2 (inclusive) and 5 (exclusive)Generating a multi-dimensional array of random numbers Specifying a custom data-type

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NumPy's randint() returns a NumPy array of random integers that are in the specified range.

Parameters

1. lowlink | int

The lower bound (inclusive).

2. highlink | int | optional

The upper bound (exclusive). If not specified, then the range would be from 0 (inclusive) to low (exclusive).

3. sizelink | int or sequence of int | optional

The desired number of random values to generate. By default, size=1.

4. dtypelink | string or type | optional

The desired data type of the generated values. By default, dtype=np.int.

Return value

A NumPy array of random integers in the specified range. If size is not specified, a scalar is returned.

Examples

Generate a random integer between 0 (inclusive) and 5 (exclusive)


        
        
            
                
                
                    np.random.randint(5)
                
            
            2

Generate a random integer between 2 (inclusive) and 5 (exclusive)


        
        
            
                
                
                    np.random.randint(2, high=5)
                
            
            4

Generate 10 random integers between 2 (inclusive) and 5 (exclusive)


        
        
            
                
                
                    np.random.randint(2, high=5, size=10)
                
            
            array([2, 3, 3, 2, 3, 2, 3, 3, 3, 4])

Generating a multi-dimensional array of random numbers


        
        
            
                
                
                    np.random.randint(2, high=10, size=(2,3))
                
            
            array([[9, 4, 8],
       [4, 6, 5]])

Specifying a custom data-type


        
        
            
                
                
                    np.random.randint(2, high=5, dtype=np.int)
                
            
            4

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Published by Isshin Inada

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