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Parameters Return Value Examples Generating a random integer between 0 (inclusive) and 5 (exclusive)Generating multiple random integers between 0 (inclusive) and 5 (exclusive)Generating multiple random integers with replacement Generating multiple random integers without replacement Randomly selecting values from an array Related

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NumPy | choice method

schedule Aug 10, 2023

Last updated

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Python●NumPy

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Parameters Return Value Examples Generating a random integer between 0 (inclusive) and 5 (exclusive)Generating multiple random integers between 0 (inclusive) and 5 (exclusive)Generating multiple random integers with replacement Generating multiple random integers without replacement Randomly selecting values from an array

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NumPy's choice() method returns an array of random samples.

Parameters

1. alink | int or 1D array-like

If an int is given, then random integer is generated between 0 (inclusive) and int (exclusive).
If array-like is given, then elements are randomly selected from the array-like.

2. sizelink | int or tuple of ints | optional

If an int is given, then size represents number of random numbers to generate.
If a tuple is given, then size represents the output shape.

By default, a single value is returned.

3. replacelink | boolean | optional

If True, then the method will sample with replacement, that is, an element can be chosen multiple times.
If False, then the method will sample without replacement, that is, an element can be only chosen once.

By default, replace=True.

4. p | 1D array-like of numbers | optional

The probabilities that will be used to generate a. By default, a uniform distribution will be used.

Return Value

If size is supplied, then a NumPy array is returned.

Examples

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

To generate a single number between 0 (inclusive) and 5 (exclusive):


        
        
            
                
                
                    np.random.choice(5)
                
            
            3

Generating multiple random integers between 0 (inclusive) and 5 (exclusive)

To generate multiple numbers between 0 (inclusive) and 5 (exclusive):


        
        
            
                
                
                    np.random.choice(5, size=3)
                
            
            array([4, 4, 2])

Generating multiple random integers with replacement

To generate multiple numbers with replacement:


        
        
            
                
                
                    np.random.choice(5, size=3)   # replace=True
                
            
            array([2, 4, 2])

Notice how the value 2 was chosen twice.

Generating multiple random integers without replacement

To generate multiple numbers without replacement:


        
        
            
                
                
                    np.random.choice(5, size=3, replace=False)
                
            
            array([4, 2, 1])

Here, the randomly selected values are guaranteed to be unique.

Randomly selecting values from an array

To randomly select two values from a given array:


        
        
            
                
                
                    np.random.choice([2,4,6,8], size=2)
                
            
            array([4, 2])

Related

NumPy | randint method

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

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Published by Isshin Inada

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Official NumPy Documentation

https://numpy.org/doc/stable/reference/random/generated/numpy.random.choice.html

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