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NumPy | random method

schedule Aug 12, 2023

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Python●NumPy

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Parameters Return value Examples Generate 1D array of random numbers Generate 2D array of random numbers

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NumPy's random() returns a random Float value between 0 (inclusive) and 1 (exclusive).

This method is equivalent to NumPy's ranf() and random_sample().

NOTE

To generate random floats between a certain interval, use uniform(~) instead.

Parameters

1. sizelink | int or sequence of int | optional

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

Return value

A NumPy array of random floats between 0 (inclusive) and 1 (exclusive). If size is not specified, a scalar is returned.

Examples

Generate 1D array of random numbers

To generate three random numbers:


        
        
            
                
                
                    np.random.random(3)
                
            
            array([0.66461748, 0.63058654, 0.48938284])

Generate 2D array of random numbers

To generate a 2 by 3 two-dimensional array of random numbers:


        
        
            
                
                
                    np.random.random([2,3])
                
            
            array([[0.59041415, 0.19836836, 0.98704182],
       [0.41153823, 0.08973394, 0.72238062]])

Related

NumPy | ranf method

NumPy's ranf() returns a random Float value between 0 (inclusive) and 1 (exclusive).

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NumPy | random_sample method

NumPy's random_sample() returns a random Float value between 0 (inclusive) and 1 (exclusive).

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NumPy | uniform method

NumPy's random.uniform(~) method samples random values from a uniform distribution. In other words, the method returns an array of random floats.

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Published by Isshin Inada

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