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        "author": "Florian Finkernagel",
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        "description": "# dppd_plotnine\n\n| Build status: | [![Build Status](https://travis-ci.com/TyberiusPrime/dppd_plotnine.svg?branch=master)](https://travis-ci.com/TyberiusPrime/dppd_plotnine)|\n|---------------|-----------------------------------------------------------------------------|\n| Documentation | https://dppd_plotnine.readthedocs.io/en/latest/\n\ndppd_plotnine combines the power of\n[plotnine](https://plotnine.readthedocs.io/en/stable) and\n[dppd](https://dppd.readthedocs.io/en/latest/)\n\nIt allows you to use code like this\n\n\n```python\n   import numpy as np\n   from dppd import dppd\n   import dppd_plotnine\n   from plotnine.data import mtcars\n   import plotnine as p9\n   dp, X = dppd()\n\n   plot = (\n      dp(mtcars)\n      .assign(kwh=X.hp * 0.74)\n      .categorize(\"cyl\")\n      .p9()\n      .add_point(\n            \"cyl\",\n            \"kwh\",\n            color=\"cyl\",\n            position=p9.position_jitter(height=0, random_state=500),\n      )\n      .add_errorbar(\n            x=\"cyl\",\n            y=\"kwh_median\",\n            ymin=\"kwh_median\",\n            ymax=\"kwh_median\",\n            data=dp(X.data)\n            .groupby(\"cyl\")\n            .summarize((\"kwh\", np.median, \"kwh_median\"))\n            .pd,\n      )\n      .scale_color_manual(\n            [\"red\", \"blue\", \"purple\"]\n      )  # after pd, X is what it was before\n      .pd\n    )\n    plot.save(\"test.png\")\n    \n\n```\n\n![Example\nimage](https://github.com/TyberiusPrime/dppd_plotnine/raw/master/docs/_static/index.png)\n\nPlease see our full documentation at https://dppd_plotnine.readthedocs.io/en/latest/\nfor more details of the straight and enhanced plotnine mappings available.",
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