Hiveplotlib Documentation

Hive Plots

• An Introduction to Hive Plots
  • Motivation: Why Hive Plots?
  • Structure of Basic Hive Plots
  • A Simple Example: Hive Plots vs Circular and Spring Layouts
  • Circular Layout
  • Spring Layout
  • Hive Plots
• Quick Start Hive Plots
  • Before Plotting: Nodes, Edges, and Setting a Node Partition
  • Base Hive Plot Visualization
  • all_edge_kwargs, repeat_axes, and repeat_edge_kwargs
  • Clockwise / Counterclockwise Edge Kwargs
  • Custom Kwargs for Different Sets of Edges
  • Edge List Kwargs: Comparing Network Subgroups
  • A Note On Kwarg Hierarchies
• Basic Usage
  • Data Inputs
  • Example Data
  • Node Instances
  • Axis Instances
  • The HivePlot Instance
  • Assigning and Placing Nodes on Axes
  • Changing Our Axis Sorting
  • vmin and vmax on the Axes
  • Repeat Axes for Within-Group Behavior
  • Exploration with Less Overhead
• Comparing Network Subgroups
  • Motivation
  • Toy Example: Employee Interactions
  • Considering a Second Group in the Same Figure
  • Lower-level Functionality
  • When Are Tags Needed?
  • Autogenerated Tags on Edges
  • Scaling to Large Networks
• Hive Plots for Large Networks
  • Data (Wikipedia Squirrel Pages)
  • Visualization Challenges in Pure Matplotlib
  • Datashading
  • pixel_spread Fixes Discontinuous Binned Lines
  • Motivation Behind Datashading
  • References
• Hive Plots with More Than 3 Groups
  • Loading International Trade Data
  • Geography-Based Network Visualization
  • Partitioning the Network
  • Hive Plots of Intercontinental Trade
  • References
• Customizing Edge Curves
  • Short vs Long Arc
  • Move Bézier Control Point Closer to or Further from Origin
  • Shift Bézier Control Point Around Origin
• Hive Plots Using Other Visualization Libraries
  • Matplotlib Baseline
  • bokeh
  • plotly
  • holoviews
  • Exporting Hive Plots as JSON
  • What’s in the Output JSON
  • Setting Edge Keyword Arguments to Generalize
  • JavaScript (D3) Viz from JSON
  • Replicating our Matplotlib Viz from JSON

Hive Plot Examples

• Zachary’s Karate Club
  • Background
  • The Data
  • Visualization
  • Conclusions from the Circular Graph
  • An Alternative: Hive Plots
  • Convert the networkx structure into the needed hiveplotlib structure
  • Constructing Our Hive Plot Instance
  • Visualizing the Hive Plot
  • References
• Networkx Examples
  • Tripartite Graph
  • Ring of Cliques
  • Stochastic Block Model
• Bitcoin Trader Network
  • The Data
  • Axes
  • Sorting on Each Axis
  • Build the Hive Plots for Each Year
  • Anecdotal Conclusions
  • References

Polar Parallel Coordinates Plots

• An Introduction to P2CPs
  • Motivation: Why Polar Parallel Coordinates Plots (P2CPs)?
  • Visualizing Gaussian Blobs in 3D
  • Viewing Angles Matter for 3D Viz
  • Separating Blobs in 2D with P2CPs
  • References
• Scaling to Large P2CPs
  • Datashading to Show Edge Density
  • References
• P2CPs Using Other Visualization Libraries
  • Matplotlib Baseline
  • bokeh
  • plotly
  • holoviews
  • Exporting P2CPs as JSON
  • What’s in the Output JSON
  • Setting Edge Keyword Arguments to Generalize
  • Replicating our Matplotlib Viz from JSON

P2CP Examples

• 1996 American National Election Survey
  • The Data
  • Exploratory Visualization
  • Observations
• Visualizing Correlations With P2CPs
  • Toy Data Setup
  • Positive Correlation
  • Negative Correlation
  • No Correlation
  • Heterogeneous Correlation
  • Multivariate Heterogeneous Correlations
  • References

Hiveplotlib Documentation

• Hive Plots
  • Node, Axis, and HivePlot Classes
  • Quick Hive Plots
  • Converters
  • Utility Functions
• Polar Parallel Coordinates Plots
  • P2CP Class
  • Quick P2CPs
  • Utility Functions
• Visualization
  • Matplotlib
  • Bokeh
  • Holoviews
  • Plotly
  • Datashader in Matplotlib
• Example Datasets
  • example_hive_plot()
  • example_nodes_and_edges()
  • example_p2cp()
  • four_gaussian_blobs_3d()
  • international_trade_data()

Release Notes

• Hiveplotlib Change Log
  • Version 0.25.0 (released Mar 23, 2024)
  • Version 0.24.0 (Released Feb 18, 2024)
  • Version 0.23.0 (released Feb 2, 2024)
  • Version 0.22.0 (released Jan 23, 2024)
  • Version 0.21 (released Mar 20, 2023)
  • Version 0.20 (released Jan 19, 2023)
  • Version 0.19 (released Sept 6, 2022)
  • Version 0.18 (released Aug 17, 2022)
  • Version 0.17 (released Feb 8, 2022)
  • Version 0.16 (released Dec 21, 2021)