Skip to main content

A python library to render Sumo network files and trajectories with matplotlib.

Project description

SumoNetVis

A Python library for visualizing a Sumo network and trajectories with matplotlib.

Example plot of an intersection with trajectory colored by speed Example plot of an curving road with bike lanes

Basic trajectory plotting from FCD outputs is built in, but it is also possible to plot custom data and graphics on top of the network with the full flexibility and power of matplotlib and other compatible libraries, such as seaborn.

Installation

This package can be installed via pip with the command pip install SumoNetVis. You can then import the library with:

import SumoNetVis

Dependencies

  • shapely
  • matplotlib
  • numpy

Usage

To plot a Sumo net file and trajectories, you can use the following code:

import SumoNetVis
import matplotlib.pyplot as plt
# Plot Sumo Network
net = SumoNetVis.Net("path/to/yourfile.net.xml")
net.plot()
# Plot trajectories
trajectories = SumoNetVis.Trajectories("path/to/fcd-output.xml")
trajectories["vehicle_id"].assign_colors_speed()
trajectories["vehicle_id"].plot()
# Show figure
plt.show()

You also have the option of passing a matplotlib Axes object to the plot methods.

Contribution

Issues and pull requests are welcome.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

SumoNetVis-1.0.0.tar.gz (6.8 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page