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NumPy | linspace method

schedule Aug 11, 2023

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Parameters Return value Examples Basic Usage Excluding the endpoint Explicit typing

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Numpy's linspace(~) method creates a Numpy array with values that are equally spaced. Unlike Numpy's arange(~) method which uses step sizes, linspace(~) uses sample size.

Parameters

1. start | number

The starting value of the Numpy array.

2. stop | number

The ending value of the Numpy array. This is inclusive.

3. num | int | optional

The number of samples you want to generate. By default, num=50.

4. endpoint | boolean | optional

If set to True, then stop will be the last value of the Numpy array. By default, endpoint=False.

5. dtype | string or type | optional

The desired data type for the Numpy array. This overrides the default behaviour of using the same data-type as the source array.

Return value

A Numpy array with equally spaced values.

Examples

Basic Usage

Starting from a value of 1, and ending with a value of 10, we want to generate a total of 4 samples. We do so as follows:


        
        
            
                
                
                    np.linspace(1,10,4)
                
            
            array([ 1.,  4.,  7., 10.])

Notice how the end value (i.e. the second parameter) is inclusive.

Excluding the endpoint

We set endpoint=False, like follows:


        
        
            
                
                
                    np.linspace(1,10,4, endpoint=False)
                
            
            array([1.  , 3.25, 5.5 , 7.75])

Explicit typing

We set dtype=float to obtain a Numpy array of type float.


        
        
            
                
                
                    np.linspace(1, 10, 4, dtype=float)
                
            
            array([ 1.,  4.,  7., 10.])

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Published by Isshin Inada

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