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Method argpartition

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NumPy | isnat method

schedule Aug 12, 2023

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Parameters Return value Examples Basic usage

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NumPy's isnat(~) method checks whether or not each value in the input array is NaT (i.e. not a time).

Parameters

1. a | array_like

The input array.

2. out | Numpy array | optional

Instead of creating a new array, you can place the computed mean into the array specified by out.

3. where | array of boolean | optional

Values that are flagged as False will be ignored, that is, their original value will be uninitialized. If you specified the out parameter, the behavior is slightly different - the original value will be kept intact.

Return value

If a is a scalar, then a single boolean is returned. Otherwise, a NumPy array of booleans is returned.

Examples

Basic usage


        
        
            
                
                
                    a = np.array([np.datetime64("NaT"), np.datetime64("2020-01-01")])
np.isnat(a)
                
            
            array([ True, False])

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Published by Isshin Inada

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