dppd_plotnine¶

Welcome to dppd_plotnine, which converts plotnine to work with dppd and pythonifies it’s api.

It’s source lives at github.

Quickstart¶

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")

_images/index.png

dppd_plotnine supports two different call conventions, one matching plotnine (and ggplot) and another, perhaps more convinient one, see call convention.

Contents¶

Indices and tables¶