• API Reference - MixedNulls

Mixed Nulls

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

Structure:

• What are Mixed Nulls

• Generate data

• Run the check

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)

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)

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Mixed Data Types

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Outlier Sample Detection