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Parameters Return value Examples Creating an one-dimensional Numpy array Creating a Numpy array of type int Creating a two-dimensional Numpy array

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NumPy | empty method

schedule Aug 12, 2023

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Parameters Return value Examples Creating an one-dimensional Numpy array Creating a Numpy array of type int Creating a two-dimensional Numpy array

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Numpy's empty(~) method creates a new array with the arbitrary entries. This differs from Numpy's zeros(~) method in that the zero(~) method initializes the entries with 0, whereas nothing is initialized for the empty(~).

Performance-wise, empty() is slightly faster than zeros() since we don't initialize the entries at all.

Parameters

1. shape | int or array-like object

✜ The desired shape of the Numpy array. Providing an int would return a one-dimensional flattened array.

2. dtypelink | string or type | optional

✜ The desired data type for the Numpy array. By default, dtype=numpy.float64.

Return value

An array filled with arbitrary values, with the shape and type specified by the parameters.

Examples

Creating an one-dimensional Numpy array


        
        
            
                
                
                    np.empty(3)
                
            
            array([1.49166815e-154, 1.49166815e-154, 1.48219694e-323])

Creating a Numpy array of type int


        
        
            
                
                
                    np.empty(3, int)
                
            
            array([2305843009213693952, 2305843009213693952,                   3])

Creating a two-dimensional Numpy array

Using a tuple


        
        
            
                
                
                    np.empty((2,3), int)
                
            
            array([[0, 0, 0],
       [0, 0, 0]])

Using an array:


        
        
            
                
                
                    np.empty([2,3], int)
                
            
            array([[0, 0, 0],
       [0, 0, 0]])

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Published by Isshin Inada

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