pypcoords 1.0.2

Flexible parallel coordinates plot with support for NumPy, pandas, and polars.

pypcoords

Simple and flexible parallel coordinates plot implementation built on top of matplotlib.

Supports multiple data formats out of the box, including NumPy, pandas, and polars.

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✨ Features

• 📊 Parallel coordinates visualization

• 🔌 Works with:

  • dict / mappings
  • NumPy arrays
  • pandas DataFrame
  • polars DataFrame

• 🎨 Flexible color system (colormap or custom colors)

• 🧠 Automatic handling of:

  • numeric data
  • categorical data

• 🧵 Smooth curves using cubic Bézier interpolation

• 🎯 Row highlighting support

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📦 Installation

pip install pypcoords

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🚀 Quick Example

from pypcoords import parallel_plot

data = {
    "A": [1, 2, 3],
    "B": [4, 5, 6],
    "C": [7, 8, 9],
}

parallel_plot(data)

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🎨 With colors

parallel_plot(
    data,
    colormap="viridis",
    colormap_column="C"
)

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🔍 Highlight specific rows

parallel_plot(
    data,
    highlight_rows={
        1: {"edgecolor": "red", "linewidth": 2.5}
    }
)

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📚 Supported input formats

• Mapping of column names to arrays
• pandas DataFrame
• polars DataFrame
• 2D array-like (NumPy, lists, etc.)

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📄 License

MIT

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🤝 Contributing

Contributions are welcome!