dataprep-ai 0.1.1

One-line data cleaning for pandas/Polars with reports and a reversible patch.

dataprep-ai

One-line, opinionated data cleaning for pandas/Polars.

Fix missing values, inconsistent categories, outliers, and duplicates with transparent logs and a reproducible report.

pip install dataprep-ai

Quickstart

import pandas as pd from dataprep_ai import clean, CleaningConfig

df = pd.DataFrame({ "age":[23, None, 25, 1000], "income":[52000, 58000, None, 1200000], "city":["NY","New York","nyc", None], "id":[1,2,2,4] })

result = clean(df, CleaningConfig( id_columns=["id"], outlier_strategy="iqr_cap", categorical_normalization=True ))

print(result.summary_markdown) df_clean = result.df result.to_json("clean_report.json")

Streamlit explorer pip install "dataprep-ai[app]" streamlit run -m dataprep_ai.explore -- --csv your.csv

License

Apache-2.0