{ "info": { "author": "Zach Sailer", "author_email": "zachsailer@gmail.com", "bugtrack_url": null, "classifiers": [ "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: Implementation :: CPython", "Programming Language :: Python :: Implementation :: PyPy" ], "description": "\n# GPGraph\n\n**Genotype-phenotype maps in NetworkX**\n\nPort a `GenotypePhenotypeMap` to a [NetworkX Digraph](https://networkx.github.io/).\n\n## Basic Example\n\nGPGraph follows NetworkX syntax. Initialize a graph, add the\ngenotype-phenotype map object, and draw the graph. This library even\ncomes with a draw method, `draw_flattened`, suited for genotype-phenotype maps.\n\n```python\nfrom gpmap.simulate import MountFujiSimulation\nfrom gpgraph import GenotypePhenotypeGraph, draw_flattened\n\n# Simulate a genotype-phenotype map\nsim = MountFujiSimulation.from_length(4, roughness_width=1)\n\n# Turn the genotype-phenotype map into a networkx object\nG = GenotypePhenotypeGraph(gpm)\n\n# Draw the graph\ndraw_flattened(G, with_labels=False, node_size=100)\n```\n\n\n\n## Install\n\nClone this repo and install with `pip`:\n\n```\npip install -e .\n```\n\n\n", "description_content_type": "", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/Zsailer/gpgraph", "keywords": "", "license": "MIT", "maintainer": "", "maintainer_email": "", "name": "gpgraph", "package_url": "https://pypi.org/project/gpgraph/", "platform": "", "project_url": "https://pypi.org/project/gpgraph/", 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