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Method argpartition

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NumPy | allclose method

schedule Aug 11, 2023

Last updated

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Python●NumPy

Parameters

1. x1 | array-like

The first input array.

2. x2 | array-like

The second input array.

3. rtol | float | optional

The relative tolerance parameter. By default, rtol=0.

4. atol | float | optional

The absolute tolerance parameter. By default, atol is set to a small number (~1e-8)

5. equal_nan | boolean | optional

If True, then element-wise comparisons that involve two NaNs will evaluate to True. By default, equal_nan=False.

Here, the element-wise comparison evaluates to True if:


        
        
            
                
                
                    absolute(a - b) <= (atol + rtol * absolute(b))

Return value

A single boolean that indicates whether or not two arrays are "close" enough.

Examples

Basic usage


        
        
            
                
                
                    np.allclose([2,3], [5,3])
                
            
            False

Here, the first element-wise comparison 2 != 5, so the method returns False.

Specifying an absolute tolerance parameter


        
        
            
                
                
                    np.allclose([6,4], [8,3], atol=2)
                
            
            True

Here, absolute(6,8) <= 2 and absolute(4,3) <= 2.

Specifying a relative tolerance parameter


        
        
            
                
                
                    np.allclose([6,3], [4,6], rtol=0.5)
                
            
            True

Here, absolute(6,4) <= 4*0.5 and absolute(3,6) <= 6*0.5.

Comparing NaNs


        
        
            
                
                
                    np.allclose(np.NaN, np.NaN)
                
            
            False


        
        
            
                
                
                    np.allclose(np.NaN, np.NaN, equal_nan=True)
                
            
            True

Published by Isshin Inada

Edited by 0 others

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