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    "info": {
        "author": "Peter Zagubisalo",
        "author_email": "peter.zagubisalo@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.6",
            "Topic :: Software Development :: Build Tools"
        ],
        "description": "# Matplotlib Helper\n\nMatplotlib Helper is my custom helper to tune Matplotlib experience for [Pandoctools/Knitty](https://github.com/kiwi0fruit/pandoctools) (but it can be used by itself). I tuned fonts (that are shipped with this python package), please see default fonts and other options in default keyword arguments of [`ready()`](https://github.com/kiwi0fruit/matplotlibhelper/blob/master/matplotlibhelper/matplotlib_helper.py)). I made some tweaks to use it with [SugarTeX](https://github.com/kiwi0fruit/sugartex), some tweaks to automatically use interactive Qt5 plots in Atom/Hydrogen or non-jupyter Python. It can also export plots to SVG or PNG.\n\nWorks in Jupyter as well.\n\n\n# Contents\n\n* [Matplotlib Helper](#matplotlib-helper)\n* [Contents](#contents)\n* [Install](#install)\n* [Usage example](#usage-example)\n* [Hints](#hints)\n\n\n# Install\n\nVia conda:\n\n```\nconda install -c defaults -c conda-forge matplotlibhelper\n```\n\nVia pip:\n\n```\npip install matplotlibhelper\n```\n\n\nAdditionally you may need to install to use in Jupyter Lab:\n\n```\nconda install jupyterlab jupyterlab_server tk nodejs\npip install ipympl\njupyter labextension install @jupyter-widgets/jupyterlab-manager jupyter-matplotlib\n```\nInstead of `pip install ipympl` you can also try:\n```\nconda update --all\nconda install -c defaults -c conda-forge ipympl\nconda update --all\n```\n\n\n## Usage example\n\nUsage example that works both in Atom+Hydrogen and in Pandoctools+Knitty:\n\n```py\nfrom IPython.display import Markdown\nimport matplotlibhelper as mh\nmh.ready(font_size=14)  # should be run before import matplotlib.pyplot\nimport matplotlib.pyplot as plt\n\n\nplt.figure(figsize=mh.figsize(w=6))  # height is automatic via the golden ration\nplt.plot([1, 2, 3, 4])\nplt.ylabel(mh.stex('\u02ce\u2207 \u22c5 [ \u20d7E]\u02ce, V/m'))  # using SugarTeX\n\n# this code in Knitty would be parsed by Pandoc,\n# in Atom/Hydrogen or Jupyter it would be displayed:\nMarkdown(f'![My beautiful figure]({mh.img(plt)}){{#fig:1}}')\n```\n\nQt backend gives [interactive plots in Atom/Hydrogen](https://nteract.gitbooks.io/hydrogen/docs/Usage/Examples.html#interactive-plots-using-matplotlib).\n\n\n## Hints\n\n1. Delete `fontList.cache`, `fontList.py3k.cache` or `fontList.json` from `%USERPROFILE%\\.matplotlib` folder after installing a new font.\n2. If font becomes bold without a reason try ([source](https://github.com/matplotlib/matplotlib/issues/5574)):\n\n```py\nfrom matplotlib import font_manager\nif 'roman' in font_manager.weight_dict:\n    del font_manager.weight_dict['roman']\n    # noinspection PyProtectedMember\n    font_manager._rebuild()\n```\n\n3. Install [Computer Modern Unicode](https://sourceforge.net/projects/cm-unicode/) for bold-italic unicode support: `\"mathtext.sf\": \"CMU Serif:bold:italic\"`. Sans-serif command `\\mathsf{}` is reassigned because sans-serif font is rarely used in serif docs.",
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