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D3Blocks is a Python package that builds on the graphics of d3 javascript (d3js). It allows you to create the most visually attractive and useful charts with only a few lines of Python code! The documentation pages contains detailed information about the working of the blocks with many examples. ⭐️ Star it if you like it ⭐️

Resources and Links

Key Pipelines

Feature Description
Interactive Network Visualization Create interactive network graphs with D3graph and Elasticgraph for relationship analysis.
Data Flow Visualization Visualize data flows and relationships using Sankey diagrams and Chord diagrams.
Temporal Data Analysis Analyze time-series data with interactive charts and moving bubbles for dynamic visualization.
Statistical Visualization Create statistical plots including scatter plots, violin plots, and heatmaps.
Hierarchical Data Visualization Visualize hierarchical structures with tree diagrams, treemaps, and circle packing.

Supported charts

nr Block Function Blog
1 D3graph d3.d3graph() D3graph
2 Elasticgraph d3.elasticgraph() Elasticgraph
3 Sankey d3.sankey() Sankey
4 Movingbubbles d3.movingbubbles() Movingbubbles
5 Scatter d3.scatter() Scatter
6 Heatmap d3.heatmap() Heatmap
7 Chord diagram d3.chord() D3Blocks
8 Timeseries d3.timeseries() D3Blocks
9 Image slider d3.imageslider() D3Blocks
10 Violin plot d3.violin() D3Blocks
11 Particles d3.particles() D3Blocks
12 Treemap d3.treemap() D3Blocks
13 Tree d3.tree() D3Blocks
14 Maps d3.maps() D3Blocks
15 Circlepacking d3.circlepacking() D3Blocks

Installation (Pypi)

pip install d3blocks     # Normal installation
pip install -U d3blocks  # Force update

Installation (clone)

git clone https://github.com/d3blocks/d3blocks.git
cd d3blocks
pip install -U .

Import d3blocks package

from d3blocks import D3Blocks
# Initialize
d3 = D3Blocks()

References

Contributors

Setting up and maintaining D3blocks has been possible thanks to users and contributors. Thanks to:

Maintainer

  • Erdogan Taskesen, github: erdogant
  • Contributions are welcome.
  • Yes! This library is entirely free but it runs on coffee! :) Feel free to support with a Coffee.

Buy me a coffee

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (2.0.0)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for erdogant from gravatar.com erdogant

Credits

Author: Erdogan Taskesen

License

OSI Approved (GNU GENERAL PUBLIC LICENSE )

Requires

Python >=3

Tags

Python

Classifiers

Report project as malware

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