By default, networkx has problems with drawing self-loops in graphs.

Overview

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
Owner
Vladimir Shitov
I am a student at the Siberian State Medical University in Tomsk, Russia. I enjoy bioinformatics, programming and data analysis.
Vladimir Shitov
Automatic data visualization in atom with the nteract data-explorer

Data Explorer Interactively explore your data directly in atom with hydrogen! The nteract data-explorer provides automatic data visualization, so you

Ben Russert 65 Dec 01, 2022
a python function to plot a geopandas dataframe

Pretty GeoDataFrame A minimum python function (~60 lines) to draw pretty geodataframe. Based on matplotlib, shapely, descartes. Installation just use

haoming 27 Dec 05, 2022
Frbmclust - Clusterize FRB profiles using hierarchical clustering, plot corresponding parameters distributions

frbmclust Getting Started Clusterize FRB profiles using hierarchical clustering,

3 May 06, 2022
Plotting data from the landroid and a raspberry pi zero to a influx-db

landroid-pi-influx Plotting data from the landroid and a raspberry pi zero to a influx-db Dependancies Hardware: Landroid WR130E Raspberry Pi Zero Wif

2 Oct 22, 2021
WebApp served by OAK PoE device to visualize various streams, metadata and AI results

DepthAI PoE WebApp | Bootstrap 4 & Vue.js SPA Dashboard Based on dashmin (https:

Luxonis 6 Apr 09, 2022
a simple REPL display lib for circuitpython

Circuitpython-termio-lib a simple REPL display lib for circuitpython Fonctions cls clear terminal screen and set cursor on top left : coords 0,0 usage

BeBoXoS 1 Nov 17, 2021
Smoking Simulation is an app to simulate the spreading of smokers and non-smokers, their interactions and population during certain amount of time.

Smoking Simulation is an app to simulate the spreading of smokers and non-smokers, their interactions and population during certain

Bohdan Ruban 5 Nov 08, 2022
Extensible, parallel implementations of t-SNE

openTSNE openTSNE is a modular Python implementation of t-Distributed Stochasitc Neighbor Embedding (t-SNE) [1], a popular dimensionality-reduction al

Pavlin Poličar 1.1k Jan 03, 2023
A Python package that provides evaluation and visualization tools for the DexYCB dataset

DexYCB Toolkit DexYCB Toolkit is a Python package that provides evaluation and visualization tools for the DexYCB dataset. The dataset and results wer

NVIDIA Research Projects 107 Dec 26, 2022
A custom qq-plot for two sample data comparision

QQ-Plot 2 Sample Just a gist to include the custom code to draw a qq-plot in python when dealing with a "two sample problem". This means when u try to

1 Dec 20, 2021
Movies-chart - A CLI app gets the top 250 movies of all time from imdb.com and the top 100 movies from rottentomatoes.com

movies-chart This CLI app gets the top 250 movies of all time from imdb.com and

3 Feb 17, 2022
Automatization of BoxPlot graph usin Python MatPlotLib and Excel

BoxPlotGraphAutomation Automatization of BoxPlot graph usin Python / Excel. This file is an automation of BoxPlot-Graph using python graph library mat

EricAugustin 1 Feb 07, 2022
Plot and save the ground truth and predicted results of human 3.6 M and CMU mocap dataset.

Visualization-of-Human3.6M-Dataset Plot and save the ground truth and predicted results of human 3.6 M and CMU mocap dataset. human-motion-prediction

Gaurav Kumar Yadav 5 Nov 18, 2022
A python visualization of the A* path finding algorithm

A python visualization of the A* path finding algorithm. It allows you to pick your start, end location and make obstacles and then view the process of finding the shortest path. You can also choose

Kimeon 4 Aug 02, 2022
Some method of processing point cloud

Point-Cloud Some method of processing point cloud inversion the completion pointcloud to incomplete point cloud Some model of encoding point cloud to

Tan 1 Nov 19, 2021
Visualize and compare datasets, target values and associations, with one line of code.

In-depth EDA (target analysis, comparison, feature analysis, correlation) in two lines of code! Sweetviz is an open-source Python library that generat

Francois Bertrand 2.3k Jan 05, 2023
Simple Inkscape Scripting

Simple Inkscape Scripting Description In the Inkscape vector-drawing program, how would you go about drawing 100 diamonds, each with a random color an

Scott Pakin 140 Dec 27, 2022
Simple spectra visualization tool for astronomers

SpecViewer A simple visualization tool for astronomers. Dependencies Python = 3.7.4 PyQt5 = 5.15.4 pyqtgraph == 0.10.0 numpy = 1.19.4 How to use py

5 Oct 07, 2021
A library for bridging Python and HTML/Javascript (via Svelte) for creating interactive visualizations

A library for bridging Python and HTML/Javascript (via Svelte) for creating interactive visualizations

Anthropic 98 Dec 27, 2022
ScisorWiz: Differential Isoform Visualizer for Long-Read RNA Sequencing Data

ScisorWiz: Vizualizer for Differential Isoform Expression README ScisorWiz is a linux-based R-package for visualizing differential isoform expression

Alexander Stein 6 Oct 04, 2022