How to contribute?¶
Contributions of any size are greatly appreciated! You can make a significant impact on proplot by just using it and reporting issues.
The following sections cover some general guidelines regarding proplot development for new contributors. Feel free to suggest improvements or changes to this workflow.
We are eager to hear your requests for new features and suggestions regarding the current API. You can submit these as issues on Github. Please make sure to explain in detail how the feature should work and keep the scope as narrow as possible. This will make it easier to implement in small pull requests.
If you are feeling inspired, feel free to add the feature yourself and submit a pull request!
Bugs should be reported using the Github issues page. When reporting a bug, please follow the template message and include copy-pasteable code that reproduces the issue. This is critical for contributors to fix the bug quickly.
If you can figure out how to fix the bug yourself, feel free to submit a pull request.
Most modern python packages have
test_*.py scripts that are run by
via continuous integration services like Travis
whenever commits are pushed to the repository. Currently, proplot’s continuous
integration includes only the examples that appear on the website User Guide (see
Luke Davis runs additional tests
manually. This approach leaves out many use cases and leaves the project more
vulnerable to bugs. Improving proplot’s continuous integration using
pytest-mpl is a critical item on our to-do list.
If you can think of a useful test for proplot, feel free to submit a pull request. Your test will be used in the future.
Documentation can always be improved. For minor changes, you can edit docstrings and documentation files directly in the GitHub web interface without using a local copy.
The default ReST role is
py:obj. Please include
py:objlinks whenever discussing particular functions or classes – for example, if you are discussing the
formatmethod, please write
format. Proplot also uses intersphinx so you can link to external packages like matplotlib and cartopy.
To build the documentation locally, use the following commands:
cd docs # Install dependencies to the base conda environment.. conda env update -f environment.yml # ...or create a new conda environment # conda env create -n proplot-dev --file docs/environment.yml # source activate proplot-dev # Create HTML documentation make html
The built documentation should be available in
Preparing pull requests¶
New features and bug fixes should be addressed using pull requests. Here is a quick guide for submitting pull requests:
Fork the proplot GitHub repository. It’s fine to keep “proplot” as the fork repository name because it will live under your account.
Clone your fork locally using git, connect your repository to the upstream (main project), and create a branch as follows:
git clone firstname.lastname@example.org:YOUR_GITHUB_USERNAME/proplot.git cd proplot git remote add upstream email@example.com:lukelbd/proplot.git git checkout -b your-branch-name master
If you need some help with git, follow the quick start guide.
Make an editable install of proplot by running:
pip install -e .
import proplotimports your local copy, rather than the stable version you last downloaded from PyPi. You can
import proplot; print(proplot.__file__)to verify your local copy has been imported.
Install pre-commit and its hook on the
proplotrepo as follows:
pip install --user pre-commit pre-commit install
pre-commitwill run whenever you commit. pre-commit is a framework for managing and maintaining multi-language pre-commit hooks to ensure code-style and code formatting is consistent.
You can now edit your local working copy as necessary. Please follow the PEP8 style guide. and try to generally adhere to the black subset of the PEP8 style (we may automatically enforce the “black” style in the future). When committing,
pre-commitwill modify the files as needed, or will generally be clear about what you need to do to pass the pre-commit test.
Please break your edits up into reasonably sized commits:
git commit -a -m "<commit message>" git push -u
The commit messages should be short, sweet, and use the imperative mood, e.g. “Fix bug” instead of “Fixed bug”.
If you intend to make changes or add examples to the user guide, you may want to open the
docs/*.pyfiles as jupyter notebooks. This can be done by installing jupytext, starting a jupyter session, and opening the
.pyfiles from the
When you’re finished, create a new changelog entry in
CHANGELOG.rst. The entry should be entered as:
* <description> (:pr:`<PR number>`) by `<author name>`_.
<description>is the description of the PR related to the change,
<PR number>is the pull request number, and
<author name>is your first and last name. Make sure to add yourself to the list of authors at the end of
CHANGELOG.rstand the list of contributors in
docs/authors.rst. Also make sure to add the changelog entry under one of the valid
.. rubric:: <heading>headings listed at the top of
Finally, submit a pull request through the GitHub website using this data:
head-fork: YOUR_GITHUB_USERNAME/proplot compare: your-branch-name base-fork: lukelbd/proplot base: master
Note that you can create the pull request before you’re finished with your feature addition or bug fix. The PR will update as you add more commits. Proplot developers and contributors can then review your code and offer suggestions.
Once version 1.0 is released, proplot will follow semantic versioning. That is, given
a version number
X.Y.Z, the major version
X will be incremented when something
is deprecated, the minor version
Y will be incremented when features are added,
and the patch number
Z will be incremented when bugs are fixed.
Currently, proplot’s major version number is
0, reflecting the fact that the API
is new and subject to rapid changes. Similar to semantic versioning, the minor version
number is incremented when something is deprecated or the style is changed, and the
patch number is incremented only when features are added or bugs are fixed.
For now, Luke Davis is the only one who can publish releases on PyPi, but this will change in the future. Releases should be carried out as follows:
Create a new branch
release-vX.Y.Zwith the version for the release.
Make sure to update
CHANGELOG.rstand that all new changes are reflected in the documentation:
git add CHANGELOG.rst git commit -m 'Update changelog'
Open a new pull request for this branch targeting
After all tests pass and the pull request has been approved, merge into
Get the latest version of the master branch:
git checkout master git pull
Tag the current commit and push to github:
git tag -a vX.Y.Z -m "Version X.Y.Z" git push origin master --tags
Build and publish release on PyPI:
# Remove previous build products and build the package rm -r dist build *.egg-info python setup.py sdist bdist_wheel # Check the source and upload to the test repository twine check dist/* twine upload --repository-url https://test.pypi.org/legacy/ dist/* # Go to https://test.pypi.org/project/proplot/ and make sure everything looks ok # Then make sure the package is installable pip install --index-url https://test.pypi.org/simple/ proplot # Register and push to pypi twine upload dist/*