{
    "info": {
        "author": "Floris Laporte",
        "author_email": "floris.laporte@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3"
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        "description": "\n# MPLPPT\n`mplppt` is a simple library made from some hacky scripts I used to use to convert matplotlib figures to powerpoint figures. Which makes this a hacky library, I guess \ud83d\ude00.\n\n## Goal\n\n`mplppt` seeks to implement an alternative `savefig` function for `matplotlib` figures. This `savefig` function saves a `matplotlib` figure with a single axis to a powerpoint presentation with a single slide containing the figure. \n\n## Installation\n```bash\npip install mplppt\n```\n\n## Supported Conversions\n\n`mplppt` supports [partly] conversion of the following matplotlib objects:\n* Lines [`matplotlib.lines.Line2D`]\n* Rectangles [`matplotlib.patches.Rectangle`]\n* Polygons [`matplotlib.patches.Polygon`]\n* pcolormesh [`matplotlib.collections.QuadMesh`]\n* text [`matplotlib.text.Text`]\n\nso far `mplppt` does not (yet) support (out of many other things):\n* markers (including tick marks)\n* linestyle\n\n\n## Simple Example\nAn example of all different conversions available for mplppt. Below we give an example of how all these objects can be combined into a single plot, which can then be exported to powerpoint:\n\n\n```python\n# plot [Line2D]\nx = np.linspace(-1,5)\ny = np.sin(x)\nplt.plot(x,y,color='C1')\n\n# rectangle\nplt.gca().add_patch(mpl.patches.Rectangle((0, 0), 3, 0.5))\n\n# polygon\nplt.gca().add_patch(mpl.patches.Polygon(np.array([[5.0,1.0],[4.0,-0.2],[2.0,0.6]]), color=\"red\"))\n\n# pcolormesh\nx = np.linspace(0,1, 100)\ny = np.linspace(0,1, 100)\nX, Y = np.meshgrid(x,y)\nZ = X**2 + Y**2\nplt.pcolormesh(X,Y,Z)\n\n# text\ntext = plt.text(0,0,'hello')\n\n# set limits\nplt.ylim(-0.5,1)\n\n# Save figure to pptx\nmplppt.savefig('first_example.pptx')\n\n# show figure\nplt.show()\n```\n\n\n![png](img/plot.png)\n\n\nWhich results in a powerpoint slide which looks as follows:\n\n![simple powerpoint export screenshot](img/slide.png)\n\n## Cool! What else can I do with this?\n\nYou are not bound to using matplotlib! The `mplppt` repository contains some standard powerpoint shapes that you can use. Try something like:\n\n\n```python\nppt = mplppt.Group() # Create a new group of objects\nppt += mplppt.Rectangle(name='rect', x=0, y=0, cx=100, cy=100, slidesize=(10,5)) # add an object to the group\nppt.save('second_example.pptx') # export the group as a ppt slide\n```\n\n## Is any of this documented?\n\nNo.\n\n## How does this work?\n\nThe repository contains a template folder, which is nothing more than an empty powerpoint presentation which is unzipped. After making a copy of the template folder and adding some `xml` code for the shapes, the modified folder is zipped into a `.pptx` file.\n\n## Copyright\n\n\u00a9 Floris Laporte - MIT License\n\n\n",
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        "summary": "Convert a matplotlib figure to a powerpoint slide",
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