pydataviz-cleaner 0.0.3

A lightweight Python package to clean messy data for visualization.

pydataviz_cleaner

A lightweight Python package to clean messy data for visualization and analysis.

✨ Features

• Drop missing values easily
• Remove duplicate rows
• Standardize date formats
• Simple, chainable API for quick data cleaning

📦 Installation

pip install pydataviz-cleaner

🚀 Usage

import pandas as pd
from pydataviz_cleaner.cleaner import DataCleaner

# Example DataFrame
df = pd.DataFrame({
    "name": ["Alice", "Bob", "Bob", None],
    "date": ["2023-01-01", "01/02/2023", "2023-01-02", "invalid"]
})

# Clean the data
cleaner = DataCleaner(df)
cleaned_df = (
    cleaner
    .drop_missing()
    .drop_duplicates()
    .standardize_dates("date")
    .get_df()
)

print(cleaned_df)

🛠️ Development

• Clone the repo
• Create a virtual environment
• Install dependencies with pip install -e .

📜 License

MIT License