/networkx_drawing_self_loops

By default, networkx has problems with drawing self-loops in graphs. This repository provides code that you can use to plot self-loops correctly

Primary LanguagePythonMIT LicenseMIT

networkx drawing self-loops

By default, networkx has problems with drawing self-loops in graphs. It makes it hard to draw a graph with self-loops or to make a nicely looking chord diagram. This repository provides some code to draw self-loops nicely

Examples

Let's have a look on how networkx draws graphs with self-loops

import matplotlib.pyplot as plt
import networkx as nx
import numpy as np 

from drawing import chord_diagram  # Code from this repo

# Create graph with some weights
graph = nx.DiGraph(
    np.array([
        [1, 2, 1, 3, 5],
        [1, 0, 3, 0, 0],
        [1, 1, 3, 0, 1],
        [0, 0, 2, 0, 1],
        [1, 1, 1, 1, 1]
    ])
)

fig, ax = plt.subplots(figsize=(10, 10))

nx.draw_circular(graph, ax=ax)
ax.set_title("Graph drawn with networkx")

fig.savefig("images/0_simple_graph_networkx.png")

Simple graph networkx

Self-loops are drawn, but they are pretty ugly. When the graph gets bigger, it is not possible to see them anymore, especially at the inner side of the polygon. This repository provides a code for the much nicer plots:

fig, ax = plt.subplots(figsize=(10, 10))

ax = chord_diagram(graph, ax)
ax.set_xlim(-1.5, 1.5)
ax.set_ylim(-1.5, 1.5)
ax.set_title("A simple graph drawn better")

fig.savefig("images/1_simple_graph.png")

Simple graph

Much better, huh? Let's have a look at the real world example. This is cells communication network from single-cell RNA-seq data. What you get by vanilla networkx:

Cells communication networkx

And by code from this repo:

Cells communication

Of course, you can make networkx plots with colors and arc curvy edges too. But notice, how vanilla networkx draws self-loops. They always have the same directions. While the code from this repo draws them from the center of the layout. More than that, it is possible to control self-loops' width and length. And, if necessary, draw them inside the polygon. Check documentation of the function draw_self_loop() from drawing.py

You can see more code examples in example.py

What can be done better

This repository can become better. If people use it, I will definitely continue developing. If you want to help me, PRs and suggestions are always welcome!

If you want to contribute, here are some ideas of what can be done better:

  • Make code more flexible. In the current version, a lot of things (e. g. plot colors, edges curvature) are hardcoded inside the functions from drawing.py. It would be great to make them parameters of the functions.
  • Make chord_diagram a PyPi package. It would be great to do a simple pip install package_name instead of copy-pasting code from this repo
  • Write some tests. It is not simple to automatically test plots, as they are mostly evaluated visually. But it is definitely a good idea to test some math related functions from drawing.py.
  • Nicely draw self-loops in a complicated layout. For now, self-loops look nicely if the graph has circular layout centered around (0, 0). In more complicated graphs, you will most likely get ugly plots. For example, this is a graph with Kamada-Kawai layout: Not circular layout

You can see at least 2 problems on this plot:

  1. Loops get bigger as they get further away from the center. This is an expected outcome from the current version of the code. But maybe we want to make it constant
  2. There are some weird extra self-loops. Tbh, I am not sure, where do they come from

Installation

  1. Install requirements:

pip install -r requirements.txt

Note that you need pandas only to run some examples. If you want to use only the code for the chord diagram, pandas is not necessary.

  1. Use code from drawing.py or check examples.py to see some code examples