Objects.Est - Seaborn

python

import seaborn.objects as so
from seaborn import load_dataset
diamonds = load_dataset("diamonds")

python

p = so.Plot(diamonds, "clarity", "carat")
p.add(so.Range(), so.Est())

python

p.add(so.Range(), so.Est("median"))

python

p.add(so.Range(), so.Est(errorbar="se"))

python

p.add(so.Range(), so.Est(errorbar="sd"))

python

p.add(so.Range(), so.Est(seed=0))

To compute a weighted estimate (and confidence interval), assign a weight variable in the layer where you use the stat:

python

p.add(so.Range(), so.Est(), weight="price")