Mixed Nulls#

import pandas as pd

from deepchecks.tabular.checks import MixedNulls
data = {'col1': ['sog', '1', 'cat', None, None]}
dataframe = pd.DataFrame(data=data)
MixedNulls().run(dataframe)

Mixed Nulls

Search for various types of null values, including string representations of null.

Additional Outputs

Nothing to display



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

Search for various types of null values, including string representations of null.

Additional Outputs
* showing only the top 10 columns, you can change it using n_top_columns param
    Count Percent of data
Column Name Value    
col1 nan 1 16.67%
nan 1 16.67%
null 1 16.67%
Nan 1 16.67%
col2 2 33.33%
None 1 16.67%


Total running time of the script: ( 0 minutes 0.015 seconds)

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