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
1 maintainer
Metadata
1 maintainer
Release files for coverage-plot 0.3.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| coverage_plot-0.3.2.tar.gz | 7.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| coverage_plot-0.3.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 16.2 kB
Release files / coverage_plot-0.3.2.tar.gz
| Download URL | coverage_plot-0.3.2.tar.gz |
|---|---|
| Size | 7.1 kB |
| Tags | Source |
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Release files / coverage_plot-0.3.2-py3-none-any.whl
| Download URL | coverage_plot-0.3.2-py3-none-any.whl |
|---|---|
| Size | 9.1 kB |
| Tags | Python 3 |
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poetry/1.4.0 CPython/3.10.8 Darwin/21.6.0
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