Mixed Nulls#

This notebook provides an overview for using and understanding the Mixed Nulls check.

Structure:

What are Mixed Nulls#

The MixedNulls check search for various types of null values, including string representations of null.

Imports#

import pandas as pd

from deepchecks.tabular.checks import MixedNulls

Generate data#

data = {'col1': ['sog', '1', 'cat', None, None]}
dataframe = pd.DataFrame(data=data)

Run the check#

MixedNulls().run(dataframe)
Mixed Nulls


We can also check for string representations of null:

data = {'col1': ['nan', None, 'null', 'Nan', '1', 'cat'], 'col2':['', '', 'None', 'a', 'b', 'c'], 'col3': [1,2,3,4,5,6]}
dataframe = pd.DataFrame(data=data)
MixedNulls().run(dataframe)
Mixed Nulls


Total running time of the script: ( 0 minutes 0.180 seconds)

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