Skip to main content

Library to plot Python code coverage results

Project description

Coverage Plot

codecov Coverage Status Maintainability Documentation Status

A library and a script to plot Python code coverage results.

Getting Started

Run the tests for your project with the test coverage, and convert the coverage results to a JSON or XML format. As a result, you should find a coverage.json or coverage.xml file in your current working directory.

coverage run -m pytest
coverage xml  # or coverage json

Install the package.

pip install coverage-plot

Run the coverage visualization. The script opens the browser with the visualization results.

coverage-plot coverage.xml

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

coverage_plot-0.3.2.tar.gz (7.1 kB view hashes)

Uploaded Source

Built Distribution

coverage_plot-0.3.2-py3-none-any.whl (9.1 kB view hashes)

Uploaded Python 3

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