grafiki-bridge 0.2.0

Send data from Jupyter notebooks to the grafiki web dashboard.

Grafiki Bridge

A Python package that creates shareable, interactive data visualizations from pandas DataFrames through compressed URL links.

Overview

This package allows you to convert pandas DataFrames into compressed, browser-compatible links that open in the grafiki web application for interactive data exploration and visualization. For more information, please visit our wiki.

Features

• 📊 Convert pandas DataFrames to interactive visualizations
• 🔗 Generate shareable web links with data compression
• 🌐 Cross-browser compatibility checking
• 📈 Memory-efficient data encoding
• ⚡ Quick data exploration and sharing

Installation

Install from PyPI:

pip install grafiki-bridge

Or install the latest development version:

pip install git+https://github.com/leberkaassemmel/grafiki-bridge.git

Usage

Basic Examples

To share a DataFrame in a jupyter notebook, use the show_bridge_link function:

import pandas as pd
import grafiki

# Create sample data
sample_data = {
    'year': [1949, 1949, 1949, 1950, 1950, 1950],
    'month': ['January', 'February', 'March', 'January', 'February', 'March'],
    'passengers': [112, 118, 132, 115, 126, 141]
}

df = pd.DataFrame(sample_data)

# Generate shareable visualization link
grafiki.show_bridge_link(df, 'My First Dataset')

For quick DataFrame sharing, use the bridge_df function:

import pandas as pd
from grafiki import bridge_df

# Load your data
df = pd.read_csv('your_data.csv')

# Quick link generation
link = bridge_df(df, name="Sales Data Q1", tags=["sales", "quarterly"])
print(f"Share your data: {link}")

# With custom base URL
link = bridge_df(df, 
                name="Custom Dataset",
                tags=["analysis", "2024"],
                base_url="https://custom.grafiki.app")

Colab Example

Check out the colab notebook: grafiki Tutorial

What You Get

When you run show_bridge_link(), you'll see:

• Dataset Overview: Rows, columns, and memory usage
• Compression Stats: Data compression ratio and space saved
• Browser Compatibility: Automatic detection and compatibility checking
• Shareable Link: Direct URL to open your data in the Grafiki web app

Key Benefits

• Browser Optimized: Checks URL length limits for different browsers
• Instant Sharing: No need to upload files - data is encoded in the URL
• Privacy Friendly: Data stays in your control through URL encoding

Browser Compatibility

The tool automatically detects your browser and shows compatibility:

• Chrome/Edge: Up to ~2MB of data
• Firefox: Up to ~64KB of data
• Safari: Up to ~80KB of data

Requirements (automatically installed with the package)

• Python 3.6+
• pandas

Getting Started

1. Install the package: pip install grafiki-bridge
2. Import and use in your Python environment:

import pandas as pd
import grafiki

# Your DataFrame
df = pd.read_csv('your_data.csv')

# Generate shareable link
grafiki.show_bridge_link(df, 'Your Dataset Name')

Use Cases

Perfect for:

• Quick data sharing with colleagues
• Creating portable data visualizations
• Prototyping data analysis workflows
• Educational demonstrations
• Lightweight data distribution

Contributing

We welcome contributions! Please see our Contributing Guide for details.

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Add tests if applicable
5. Submit a pull request

Development Setup

git clone https://github.com/yourusername/grafiki-bridge.git
cd grafiki-bridge
pip install -e ".[dev]"

License

This project is open source and available under the MIT License.

AI Assistance Disclosure

This project uses AI tools to assist with development, including:

• Code generation and optimization
• Documentation writing
• Test case generation
• Code review assistance

All AI-generated content is reviewed and validated by human maintainers before inclusion.