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garphield

garphield for Python

Explore graphs visually from a notebook. Pass a NetworkX graph or pandas DataFrame to show() and get an interactive Garphield view inline - then open the full workbench to build stories, apply layouts, and return the result to Python.

import garphield as gph
import networkx as nx

G = nx.karate_club_graph()
view = gph.show(
    G,
    node_color="club",
    node_size=G.degree,
    node_label=str,
)

Once the view is displayed, drive it from Python:

view.select([0, 1, 2]).fit()
view.bind("node_color", gph.algorithm("louvain", resolution=1.1))
edited = view.to_project()

Install

pip install garphield

With NetworkX and pandas adapters:

pip install 'garphield[tables,networkx]'

From pandas

import pandas as pd
import garphield as gph

edges = pd.DataFrame({"source": ["a"], "target": ["b"], "weight": [1.5]})
project = gph.Project.from_pandas(edges)
tables = project.to_pandas()

Project files

Read, validate, and write .gph project files:

import garphield as gph

project = gph.Project.load("project.gph")
print(project.semantic_fingerprint())
project.save("project-copy.gph")

Project.save() writes deterministic, human-readable JSON. Semantic and project fingerprints use RFC 8785/JCS canonical bytes.

Notebook round-trip

The wheel carries a version-matched notebook renderer, so the view works without a hosted renderer or CDN. Use Open in Garphield to continue in the full workbench at garphield.com, then Return to notebook to bring the result back to Python.

The handoff waits for Send project before the remote frame is created or the project is sent to it. The transport uses a 10 s acknowledgement timeout.

Use chrome=["minimap"] or chrome=["toolbar"] to keep embeds lightweight. project.save_html("graph.html", chrome=["minimap"]) writes a standalone interactive HTML file.

Environments

Local Jupyter, VS Code notebooks, JupyterHub, Google Colab, and Snowflake Snowpark notebooks are resolved automatically. For Snowpark, use show_snowpark() which materializes selected tables in the kernel before handoff.

Metadata

Release files for garphield 0.1.6

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for garphield 0.1.6
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garphield-0.1.6.tar.gz 995.1 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for garphield 0.1.6
File Interpreter ABI Platform
garphield-0.1.6-py3-none-any.whl Python 3 none any Details

Total release size: 2.1 MB

Release files / garphield-0.1.6.tar.gz

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Release files / garphield-0.1.6-py3-none-any.whl

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0.1.11

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