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chore: Release Changelog v0.2.12
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CHANGELOG.md

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The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
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## [Unreleased]
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## [0.2.12] - 2023-08-07
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### Changed
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- Replaced `poetry` with `pdm`.
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### Fixed
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- Issue with `kaleido` when using Windows that leads to a crash when using `df2img.save_dataframe` ([GH issue #58](https://github.com/andreas-vester/df2img/issues/58)).
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### Security
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- Updated dependencies.
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## [0.2.11] - 2023-05-16
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### Security
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- Updated dependencies.
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- Possibility to change column width and row height.
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- Possibility to change font size.
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[Unreleased]: https://github.com/andreas-vester/df2img/compare/v0.2.11...HEAD
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[Unreleased]: https://github.com/andreas-vester/df2img/compare/v0.2.12...HEAD
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[0.2.12]: https://github.com/andreas-vester/df2img/compare/v0.2.11...v0.2.12
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[0.2.11]: https://github.com/andreas-vester/df2img/compare/v0.2.10...v0.2.11
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[0.2.10]: https://github.com/andreas-vester/df2img/compare/v0.2.9...v0.2.10
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[0.2.9]: https://github.com/andreas-vester/df2img/compare/0.2.8...0.2.9

CONTRIBUTING.md

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You can find a good [introduction](https://docs.github.com/en/get-started/quickstart/contributing-to-projects) on
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how to contribute to an open source project. In a nutshell, the process involves the following steps:
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1. Fork (i.e. copy) the repository to your own GitHub account.
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2. Clone the fork to your local machine.
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3. Create a new branch to work on.
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<!-- omit in toc -->
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#### How do I set up my dev environment?
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**df2img** uses [poetry](https://python-poetry.org/) to manage its dependencies. So make sure you have it properly
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**df2img** uses [pdm](https://pdm.fming.dev/) to manage its dependencies. So make sure you have it properly
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installed before you go on. To set up your development environment, you should install the project after you cloned
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the repo to your local machine:
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```shell
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poetry install
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pdm install -d
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```
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The **df2img** package adheres to a bunch of [Style guides](#style-guides), that
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Running simple unit tests using ``pytest`` is as easy as
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```shell
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poetry run pytest
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pdm run pytest
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```
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In addition, you can perform more rigorous linting and tests against multiple Python
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versions. In this case, the test result depends on the Python versions available on
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your machine. Make sure, you've got at least Python 3.8 installed on your machine.
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Then simply run:
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```shell
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poetry run nox
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pdm run nox
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```
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If all tests pass, you should get a result comparable to this:
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```shell
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nox > * tests-3.9: success
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nox > * tests-3.10: success
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nox > * tests-3.11: success
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nox > * mypy-3.8: success
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nox > * mypy-3.9: success
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nox > * mypy-3.10: success
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nox > * mypy-3.11: success
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```
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### Improving The Documentation

docs/img/getting_started.png

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src/df2img/__init__.py

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from df2img.df2img import plot_dataframe, save_dataframe
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__all__ = ["plot_dataframe", "save_dataframe"]
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__version__ = "0.2.9"
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__version__ = "0.2.12"

tests/test_df2img.py

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def test_version() -> None:
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"""It checks the correct version number."""
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assert df2img.__version__ == "0.2.9"
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assert df2img.__version__ == "0.2.12"
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# noinspection PyUnresolvedReferences

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