cosmograph-widget 0.0.3

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Cosmograph Jupyter Widget

This Jupyter widget integrates the @cosmograph/cosmograph library, enabling interactive visualizations of complex graphs directly within Jupyter notebooks. Built using the Anywidget framework.

Installation

To install the Cosmograph Jupyter widget, run the following command:

pip install cosmograph_widget

Basic Example

Here is a simple example of how to use the Cosmograph Jupyter widget:

from cosmograph_widget import Cosmograph
import pandas as pd

# Define the points of the graph
points = pd.DataFrame([
  { 'id': '1', 'color': '#88C6FF' },
  { 'id': '2', 'color': '#FF99D2' },
  { 'id': '3', 'color': '#E3116C' },
])

# Define the links of the graph
links = pd.DataFrame([
  { 'source': '1', 'target': '2' },
  { 'source': '1', 'target': '3' },
  { 'source': '2', 'target': '3' },
])

# Initialize and display the Cosmograph widget
Cosmograph(points=points, links=links,
   point_id_by='id',
   point_color_by='color',
   link_source_by='source',
   link_target_by='target',
)

Configuration and Customization

The Cosmograph widget offers extensive configuration options to customize its appearance and behavior. For more detailed configuration options, please refer to the @cosmograph/cosmograph documentation.

Development installation

We'll assume you know how to create and manage virtual environments if you're that type of developper, but it's not necessary.

Clone the repo

git clone https://github.com/cosmograph-org/cosmograph_widget

or

git clone [e-mail]:cosmograph-org/cosmograph_widget.git

Switch to dev branch

Go to the directory where you installed this

cd cosmograph_widget

Switch to dev branch

git checkout dev

Install from source

Install the package from source:

pip install -e ".[dev]"

Rebuild the JS side of the widget package

If you change the python side, effects will be automatic (baring import caching etc.).

If you change the JS side, to see the the effects, you'll need to build the JS side. From the root directory:

npm run build

If you want some "auto-build-and-load" server running to not have to build manually every time you change some JS code, from the root folder do:

npm run dev

Open example.ipynb in JupyterLab, VS Code, or your favorite editor to start developing. Changes made in js/ will be reflected in the notebook.