polarscope 1.3.2

🔬 Simple data inspection tools for Polars - basic X-ray analysis and utilities for DataFrames.

🔬 Polarscope

Simple data inspection tools for Polars 🐻‍❄️

Polarscope is a basic data analysis library for Polars DataFrames. It provides an xray() function for data inspection and some plotting utilities. Still early in development with more features planned.

---

✨ Current Features

🔬 Data Inspection

• xray(df) → Basic data summary with statistics and data quality info
• Shows column types, missing values, basic stats (mean, std, percentiles)
• Optional expanded mode with additional metrics
• Great Tables formatting for nice output

📊 Built-in Datasets

• from polarscope.datasets import titanic, diabetes → Small datasets for testing
• Useful for trying out the library functions

🧹 Basic Utilities (Limited functionality)

• Some data cleaning functions (still being developed)
• Plotting functions (basic implementation)

---

🚀 Quick Start

Installation

pip install polarscope

That's it! The main dependencies (Polars, Great Tables) will be installed automatically.

Basic Usage

import polars as pl
import polarscope as ps
from polarscope.datasets import titanic

# Use a built-in dataset or load your own
df = titanic()
# df = pl.read_csv("your_data.csv")

# Get basic data summary
ps.xray(df)

# More detailed analysis
ps.xray(df, expanded=True)

# Custom title and correlation analysis
ps.xray(df, title="My Data Analysis", corr_target="Survived")

Available Options

# Some useful parameters for xray()
ps.xray(
    df,
    expanded=True,              # Show more statistics
    title="Custom Title",       # Custom title for output
    corr_target="column_name",  # Show correlations with this column
    decimals=2,                 # Number formatting
    great_tables=False          # Return DataFrame instead of formatted table
)

---

🚧 Current Status

Early development - expect bugs and missing features!

• Main focus is on the xray() function
• Uses Polars for data processing (no Pandas dependency)
• Great Tables for nice-looking output
• Other functions are basic implementations or placeholders

📋 What Works

• ✅ Basic data inspection with xray()
• ✅ Built-in datasets (titanic, diabetes)
• ✅ Great Tables formatting
• ✅ Custom titles and correlation analysis
• ⚠️ Some plotting functions (limited)
• ⚠️ Some cleaning utilities (basic)

---

🤝 Contributing

This is a small project, but contributions are welcome! Feel free to report bugs or suggest improvements.

---

📄 License

MIT License - see LICENSE file for details.

---

🙏 Acknowledgments

Inspired by klib and built with great_tables.

---

🔬 A simple tool for basic Polars data inspection.