stat_summary_bin()

import pandas as pd

from lets_plot import *

LetsPlot.setup_html()

df = pd.read_csv("https://raw.githubusercontent.com/JetBrains/lets-plot-docs/master/data/iris.csv")
print(df.shape)
df.head()

(150, 5)

	sepal_length	sepal_width	petal_length	petal_width	species
0	5.1	3.5	1.4	0.2	setosa
1	4.9	3.0	1.4	0.2	setosa
2	4.7	3.2	1.3	0.2	setosa
3	4.6	3.1	1.5	0.2	setosa
4	5.0	3.6	1.4	0.2	setosa

1. The geom Parameter

ggplot(df, aes("petal_length", "sepal_length")) + \
    stat_summary_bin(geom='crossbar', width=1, binwidth=.5) + \
    geom_point(shape=21)

2. fun, fun_min, fun_max Parameters

ggplot(df, aes("petal_length", "sepal_length")) + \
    stat_summary_bin(geom='crossbar', width=1, binwidth=.5, \
                     fun='mq', fun_min='lq', fun_max='uq') + \
    geom_point(shape=21)

3. The quantiles Parameter

ggplot(df, aes("petal_length", "sepal_length")) + \
    stat_summary_bin(geom='crossbar', width=1, binwidth=.5, \
                     fun='mq', fun_min='lq', fun_max='uq', \
                     quantiles=[.05, .5, .95]) + \
    geom_point(shape=21)

4. center and boundary Parameters

def get_plot(center=None, boundary=None):
    return ggplot(df, aes("petal_length", "sepal_length")) + \
        stat_summary_bin(geom='crossbar', width=1, binwidth=.5, \
                         center=center, boundary=boundary) + \
        geom_point(shape=21) + \
        ggtitle("center={0}, boundary={1}".format(center, boundary))

gggrid([
    get_plot(),
    get_plot(center=1),
    get_plot(boundary=1),
], ncol=2)

5. Custom Calculations in Aesthetics

ggplot(df, aes("petal_length", "sepal_length")) + \
    stat_summary_bin(aes(fill='..count..'), fun='median', \
                     geom='crossbar', width=1, binwidth=.5, \
                     fatten=5, color="white") + \
    geom_point(shape=21)