import pandas as pd

from lets_plot import *
LetsPlot.setup_html()

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

width, height = 400, 300
bunch = GGBunch()
bunch.add_plot(ggplot(iris_df, aes("species", "sepal_length")) + \
    geom_violin(trim=True) + \
    ggtitle("trim=True (default)"),
    0, 0, width, height)
bunch.add_plot(ggplot(iris_df, aes("species", "sepal_length")) + \
    geom_violin(trim=False, tails_cutoff=1) + \
    ggtitle("trim=False, tails_cutoff=1"),
    width, 0, width, height)
bunch.add_plot(ggplot(iris_df, aes("species", "sepal_length")) + \
    geom_violin(trim=False, tails_cutoff=2) + \
    ggtitle("trim=False, tails_cutoff=2"),
    0, height, width, height)
bunch.add_plot(ggplot(iris_df, aes("species", "sepal_length")) + \
    geom_violin(trim=False, tails_cutoff=3) + \
    ggtitle("trim=False, tails_cutoff=3 (default)"),
    width, height, width, height)
bunch.show()