Contributing to PyQtGraph

Contributions to pyqtgraph are welcome!

Please use the following guidelines when preparing changes:

Submitting Code Changes

The preferred method for submitting changes is by github pull request against the "develop" branch.
Pull requests should include only a focused and related set of changes. Mixed features and unrelated changes may be rejected.
For major changes, it is recommended to discuss your plans on the mailing list or in a github issue before putting in too much effort.
- Along these lines, please note that pyqtgraph.opengl will be deprecated soon and replaced with VisPy.

Documentation

Writing proper documentation and unit tests is highly encouraged. PyQtGraph uses nose / pytest style testing, so tests should usually be included in a tests/ directory adjacent to the relevant code.
Documentation is generated with sphinx; please check that docstring changes compile correctly

Style guidelines

PyQtGraph prefers PEP8 for most style issues, but this is not enforced rigorously as long as the code is clean and readable.
Use python setup.py style to see whether your code follows the mandatory style guidelines checked by flake8.
Exception 1: All variable names should use camelCase rather than underscore_separation. This is done for consistency with Qt

Exception 2: Function docstrings use ReStructuredText tables for describing arguments:

============== ========================================================
**Arguments:**
argName1       (type) Description of argument
argName2       (type) Description of argument. Longer descriptions must
                be wrapped within the column guidelines defined by the
                "====" header and footer.
============== ========================================================

QObject subclasses that implement new signals should also describe these in a similar table.

Testing Setting up a test environment

Dependencies

tox
tox-conda
pytest
pytest-cov
pytest-xdist
Optional: pytest-xvfb

Tox

As PyQtGraph supports a wide array of Qt-bindings, and python versions, we make use of tox to test against most of the configurations in our test matrix. As some of the qt-bindings are only installable via conda, conda needs to be in your PATH, and we utilize the tox-conda plugin.

Tests for a module should ideally cover all code in that module, i.e., statement coverage should be at 100%.
To measure the test coverage, un pytest --cov -n 4 to run the test suite with coverage on 4 cores.

Continous Integration

For our Continuous Integration, we utilize Azure Pipelines. On each OS, we test the following 6 configurations

Python2.7 with PyQt4
Python2.7 with PySide
Python3.6 with PyQt5-5.9
Python3.6 with PySide2-5.9
Python3.7 with PyQt5-5.12
Python3.7 with PySide2-5.12

More information on coverage and test failures can be found on the respective tabs of the build results page

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