PieDrilldown

A Python package for creating professional "Bar of Pie" and "Pie of Pie" charts with drill-down visualizations using Matplotlib.

Features

• 📊 Bar of Pie: Expand a pie segment into a stacked bar chart
• 🥧 Pie of Pie: Expand a pie segment into a secondary pie chart
• 🔗 Automatic connection lines between main chart and drill-down
• 🎨 Customizable colors for both charts
• 📐 Smart positioning: Drill-down segment automatically faces the detail chart
• 📏 Flexible percentages: Show raw values or normalize to 100%

Installation

pip install piedrilldown

Quick Start

Bar of Pie Chart

from piedrilldown import PieDrilldown

chart = PieDrilldown(
    main_labels=['Oil', 'Gas', 'Coal', 'Renewables', 'Nuclear'],
    main_values=[39, 23, 19, 17, 2],
    drilldown_labels=['Bioenergy', 'Hydro', 'Solar', 'Wind'],
    drilldown_values=[12, 3, 1, 1],
    drilldown_index=3  # Drill down on 'Renewables'
)

chart.plot(drilldown_type='bar', title='Energy Consumption 2019')
chart.save('energy_chart.png')
chart.show()

Pie of Pie Chart

from piedrilldown import PieDrilldown

chart = PieDrilldown(
    main_labels=['Category A', 'Category B', 'Category C', 'Others'],
    main_values=[45, 25, 20, 10],
    drilldown_labels=['Sub 1', 'Sub 2', 'Sub 3'],
    drilldown_values=[5, 3, 2],
    drilldown_index=3
)

chart.plot(drilldown_type='pie', title='Sales Distribution')
chart.show()

Using Convenience Functions

from piedrilldown import bar_of_pie, pie_of_pie

# Quick bar-of-pie
chart = bar_of_pie(
    main_labels=['A', 'B', 'C'],
    main_values=[50, 30, 20],
    drilldown_labels=['X', 'Y', 'Z'],
    drilldown_values=[10, 15, 5],
    drilldown_index=2,
    title='My Chart'
)
chart.show()

Customization Options

Custom Colors

chart = PieDrilldown(
    main_labels=['Oil', 'Gas', 'Renewables'],
    main_values=[50, 30, 20],
    drilldown_labels=['Solar', 'Wind', 'Hydro'],
    drilldown_values=[8, 7, 5],
    drilldown_index=2,
    main_colors=['#333333', '#666666', '#4CAF50'],
    drilldown_colors=['#FFC107', '#03A9F4', '#2196F3']
)

Plot Options

chart.plot(
    drilldown_type='bar',           # 'bar' or 'pie'
    figsize=(14, 8),                # Figure size
    title='My Chart',               # Chart title
    explode_drilldown=True,         # Explode the drilldown segment
    explode_amount=0.1,             # How much to explode
    show_percentages=True,          # Show percentage labels
    show_connections=True,          # Draw connection lines
    connection_color='gray',        # Connection line color
    connection_width=2,             # Connection line width
    width_ratios=(2, 1),            # Ratio of main pie to drilldown
    normalize_drilldown=False       # False: raw values, True: normalize to 100%
)

Percentage Display

# Raw values (default): 12%, 3%, 1%, 1%
chart.plot(normalize_drilldown=False)

# Normalized to 100%: 70.6%, 17.6%, 5.9%, 5.9%
chart.plot(normalize_drilldown=True)

API Reference

PieDrilldown Class

PieDrilldown(
    main_labels,           # List of labels for main pie
    main_values,           # List of values for main pie
    drilldown_labels,      # List of labels for drilldown
    drilldown_values,      # List of values for drilldown
    drilldown_index=0,     # Index of segment to drill down
    main_colors=None,      # Optional custom colors for main pie
    drilldown_colors=None  # Optional custom colors for drilldown
)

Methods

Convenience Functions

• bar_of_pie(...) - Quick bar-of-pie chart creation
• pie_of_pie(...) - Quick pie-of-pie chart creation

Requirements

• Python 3.7+
• matplotlib >= 3.0.0
• numpy >= 1.15.0

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Changelog

v1.0.0 (2024-12-24)

• Initial release
• Bar of Pie and Pie of Pie chart types
• Automatic segment positioning
• Connection lines between charts
• Customizable colors and styles
• normalize_drilldown option for percentage display