Mixed NullsΒΆ
[1]:
from deepchecks.checks import MixedNulls
import pandas as pd
[2]:
data = {'col1': ['sog', '1', 'cat', None, None]}
dataframe = pd.DataFrame(data=data)
MixedNulls().run(dataframe)
Mixed Nulls
Search for various types of null values in a string column(s), including string representations of null. Read More...
Additional Outputs
✓ Nothing found
[3]:
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 in a string column(s), including string representations of null. Read More...
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% |