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Merge pull request #77 from phobson/new-badges
add new badges to readme
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.github/workflows/check-test-coverage.yml

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name: Run coverage via codecov
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name: Coverage via codecov
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branches: [ master ]

.github/workflows/python-publish.yml

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# This workflows will upload a Python Package using Twine when a release is created
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# For more information see: https://help.github.com/en/actions/language-and-framework-guides/using-python-with-github-actions#publishing-to-package-registries
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name: Upload Python Package
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name: Publish Python Package
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.github/workflows/python-runtests-basic.yml

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# This workflow will install Python dependencies, run tests and lint with a variety of Python versions
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# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions
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name: Run basic unit tests
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name: Basic unit tests
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.github/workflows/python-runtests-img-comp.yml

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# This workflow will install Python dependencies, run tests and lint with a variety of Python versions
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# For more information see: https://help.github.com/actions/language-and-framework-guides/using-python-with-github-actions
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name: Run image comparison tests
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name: Image comparison tests
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README.md

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# mpl-probscale
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Real probability scales for matplotlib
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[![Build Status](https://travis-ci.org/matplotlib/mpl-probscale.svg)](https://travis-ci.org/matplotlib/mpl-probscale)
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[![codecov](https://codecov.io/gh/matplotlib/mpl-probscale/branch/master/graph/badge.svg)](https://codecov.io/gh/matplotlib/mpl-probscale)
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![Code Style](https://github.com/matplotlib/mpl-probscale/workflows/black/badge.svg)
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![Coverage](https://github.com/matplotlib/mpl-probscale/workflows/Coverage%20via%20codecov/badge.svg)
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![Linter](https://github.com/matplotlib/mpl-probscale/workflows/Lint%20with%20flake8/badge.svg)
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![Basic Tests](https://github.com/matplotlib/mpl-probscale/workflows/Basic%20unit%20tests/badge.svg)
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![Image Comparisons](https://github.com/matplotlib/mpl-probscale/workflows/Image%20comparison%20tests/badge.svg)
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[Sphinx Docs](http://matplotlib.org/mpl-probscale/)
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`pip install pytest`
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`conda install pytest --channel=conda-forge`
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