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Parameters Return value Examples Specifying only the end value Specifying start and end value Specifying step size Specifying a negative step size Specifying dtype

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NumPy | arange method

schedule Aug 12, 2023

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Parameters Return value Examples Specifying only the end value Specifying start and end value Specifying step size Specifying a negative step size Specifying dtype

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NumPy's arange(~) method is used to create a NumPy array with equally spaced values, similar to Python's range(~) method.

Parameters

1. start | number | optional

The starting value. This will be the first element in the NumPy array.

2. stoplink | number

The end value. Just like Python's range(~) method, the interval does not include this value.

3. steplink | number | optional

Spacing between values. By default, step=1.

4. dtypelink | string or type | optional

The desired data type for the NumPy array. By default, the type is inferred based on the other parameters.

Return value

A NumPy array with equally spaced values.

Examples

Specifying only the end value

To obtain a NumPy array from 0 (inclusive) to 3 (exclusive):


        
        
            
                
                
                    np.arange(3)
                
            
            array([0, 1, 2])

Notice how the value 3, which is the stop parameter, is excluded from the NumPy array.

Specifying start and end value

To obtain a NumPy array from 2 (inclusive) to 5 (exclusive):


        
        
            
                
                
                    np.arange(start=2, stop=5)
                
            
            array([2, 3, 4])

Specifying step size

To obtain a NumPy array where the values are evenly spaced by 3 units:


        
        
            
                
                
                    np.arange(1, 10, 3)
                
            
            array([1, 4, 7])

Specifying a negative step size


        
        
            
                
                
                    np.arange(6, 2, -1)
                
            
            array([6, 5, 4, 3])

Specifying dtype

To create a NumPy array of floats starting from 2.0 (inclusive) and ending at 5 (exclusive):


        
        
            
                
                
                    np.arange(start=2, stop=5, dtype="float")
                
            
            array([2., 3., 4.])

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Published by Isshin Inada

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