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