dppd_plotnine
| Build status: |  |
|---|---|
| Documentation | https://dppd_plotnine.readthedocs.io/en/latest/ |
dppd_plotnine combines the power of plotnine and dppd
It allows you to use code like this
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")
Please see our full documentation at https://dppd_plotnine.readthedocs.io/en/latest/ for more details of the straight and enhanced plotnine mappings available.
1 maintainer
Metadata
1 maintainer
Release files for dppd-plotnine 0.2.13
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Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dppd_plotnine-0.2.13.tar.gz | 13.8 kB | Details |
Release files / dppd_plotnine-0.2.13.tar.gz
| Download URL | dppd_plotnine-0.2.13.tar.gz |
|---|---|
| Size | 13.8 kB |
| Tags | Source |
|
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| Uploaded via |
twine/7.0.0 CPython/3.13.14
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