Note
Click here to download the full example code
Special Characters#
import pandas as pd
from deepchecks.tabular.checks import SpecialCharacters
data = {'col1': [' ', '!', '"', '#', '$', '%', '&', '\'','(', ')',
'*', '+', ',', '-', '.', '/', ':', ';', '<', '=',
'>', '?', '@', '[', ']', '\\', '^', '_', '`', '{',
'}', '|', '~', '\n'],
'col2':['v', 'v', 'v', 'v4', 'v5', 'v6', 'v7', 'v8','v9','v10',
'*', '+', ',', '-', '.', '/', ':', ';', '<', '=',
'>', '?', '@', '[', ']', '\\', '^', '_', '`', '{',
'}', '|', '~', '\n'],
'col3': [1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,11,1,'???#',1,1,1,1,1,1,1,1,1,1,1],
'col4': [1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,11,1,1,1,1,1,1,1,1,1,1,1,1,1],
'col5': ['valid1','valid2','valid3','valid4','valid5','valid6','valid7',
'valid8','valid9','valid10','valid11','valid12',
'valid13','valid14','inval!d15','valid16','valid17','valid18',
'valid19','valid20','valid21','valid22','valid23','valid24','valid25',
'valid26', 'valid27','valid28','valid29','valid30','valid31','32','33','34']}
dataframe = pd.DataFrame(data=data)
SpecialCharacters().run(dataframe)
Out:
/home/runner/work/deepchecks/deepchecks/deepchecks/tabular/dataset.py:886: UserWarning:
Received a "pandas.DataFrame" instance. It is recommended to pass a "deepchecks.tabular.Dataset" instance by doing "Dataset(dataframe)"
/home/runner/work/deepchecks/deepchecks/deepchecks/tabular/dataset.py:581: UserWarning:
It is recommended to initialize Dataset with categorical features by doing "Dataset(df, cat_features=categorical_list)". No categorical features were passed, therefore heuristically inferring categorical features in the data.
0 categorical features were inferred
Total running time of the script: ( 0 minutes 0.053 seconds)