One-shot data exploration & cleaning toolkit
Project description
CUCLL.LEARN
One-shot data exploration and cleaning for pandas DataFrames
from cucll.learn import explore_data, clean_data
# Explore
explore_data(df, show_hg=True)
# Clean
cleaned_df = clean_data(df)
Features
- Smart Exploration: Shape, dtypes, missing values, outliers, correlations
- Battle-Tested Cleaning: Outliers, missing values, duplicates
- Visual Insights: Auto-generated histograms & boxplots
- Production Ready: Type validation and error handling
Install
# pip
pip install cucll.learn
# conda
conda install -c conda-forge cucll.learn
Documentation
Examples
# Custom cleaning pipeline
from cucll.learn import handle_outliers, handle_missing
df = handle_outliers(df, threshold=2.5)
df = handle_missing(df, num_method="median")
Examples
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