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NumPy | all method

schedule Aug 10, 2023

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Python●NumPy

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Parameters Return value Examples Basic usage 2D arrays All values Column-wise Row-wise

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Numpy's all(~) method returns True if all elements in the input array evaluate to True. Note that missing values (np.NaN) would evaluate to True.

Parameters

1. a | array_like

The input array.

2. axis | int | optional

For 2D arrays, the allowed values are as follows:

Axis	Description
0	Performed column-wise
1	Performed row-wise
`None`	Performed on entire DataFrame

By default, axis=None.

3. out | Numpy array | optional

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

4. 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 axis=None, then a boolean is returned. Otherwise, a Numpy array of booleans is returned.

Examples

Basic usage


        
        
            
                
                
                    np.all([True, False, True])
                
            
            False


        
        
            
                
                
                    np.all([5, 0, 0])
                
            
            False

2D arrays

Consider the following 2D array:


        
        
            
                
                
                    a = np.array([[0,np.NaN], [0,2]])
a
                
            
            array([[ 0., nan],
       [ 0.,  2.]])

All values

Column-wise


        
        
            
                
                
                    np.all(a, axis=0)
                
            
            array([False,  True])

Row-wise


        
        
            
                
                
                    np.all(a, axis=1)   # remember, NaN still evaluates to True
                
            
            array([False, False])

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Published by Isshin Inada

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