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NumPy | uniform method

schedule Aug 11, 2023

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Python●NumPy

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Parameters Return Value Examples Generating a single random float Generating multiple random floats

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

NOTE

To generate random floats from 0 to 1, use random(~) instead for convenience.

Parameters

1. lowlink | float or array-like of floats | optional

The lower bound (inclusive). By default, low=0.

2. highlink | float or array-like of floats

The upper bound (inclusive). By default, high=1.0.

3. sizelink | int or tuple of ints | optional

By default, a single value is returned if low and high are both float.

Return Value

If size is not specified and low and high are both scalars, then a single float is returned. Otherwise, a NumPy array of floats are returned.

Examples

Generating a single random float

To generate a single random float between 1 (inclusive) and 10 (inclusive):


        
        
            
                
                
                    np.random.uniform(low=1, high=10)
                
            
            8.841304420902002

Generating multiple random floats

To generate multiple random floats between 1 (inclusive) and 10 (inclusive):


        
        
            
                
                
                    np.random.uniform(low=1, high=10, size=2)
                
            
            array([4.2625794 , 8.20604428])

Related

NumPy | random method

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

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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.uniform.html

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