NetworkX for genotype-phenotype maps.
Project description
GPGraph
Genotype-phenotype maps in NetworkX
Port a GenotypePhenotypeMap
to a NetworkX Digraph.
Basic Example
GPGraph follows NetworkX syntax. Initialize a graph, add the
genotype-phenotype map object, and draw the graph. This library even
comes with a draw method, draw_gpgraph
, suited for genotype-phenotype graphs.
from gpmap.simulate import MountFujiSimulation from gpgraph import GenotypePhenotypeGraph from gpgraph.pyplot import draw_gpgraph, draw_edges # Simulate a genotype-phenotype map sim = MountFujiSimulation.from_length(4, roughness_width=1) # Turn the genotype-phenotype map into a networkx object G = GenotypePhenotypeGraph(sim) # Draw the graph figure = draw_gpgraph(G, edge_colors = 'gray', node_size=400)
Install
Clone this repo and install with pip
:
pip install -e .
To develop
Clone this repo and run setup.py
as follows
python setup.py develop --user
This way, if only python scripts are being changed nothing has to be reinstalled.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Filename, size | File type | Python version | Upload date | Hashes |
---|---|---|---|---|
Filename, size gpgraph-0.2.0-py3-none-any.whl (19.4 kB) | File type Wheel | Python version py3 | Upload date | Hashes View |
Filename, size gpgraph-0.2.0.tar.gz (131.0 kB) | File type Source | Python version None | Upload date | Hashes View |