Library to plot Python code coverage results
Project description
Coverage Plot
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)
Built Distribution
Close
Hashes for coverage_plot-0.3.2-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9a8adb3d9a4876568c0a5f885c3bb80b6aaac7705793171c374e78c21528db94 |
|
MD5 | 73cdace59877f25a9fd9755c1799763c |
|
BLAKE2b-256 | c22097a7d9a66ea026c5035a1879aa7910ab9d1bd46281ea51275cb70cd87fcb |