In [1]:

import pandas as pd
from lets_plot import *

In [2]:

LetsPlot.setup_html()

In [3]:

mpg_df = pd.read_csv('https://raw.githubusercontent.com/JetBrains/lets-plot-docs/master/data/mpg.csv')
mpg_df.head(3)

class_df = mpg_df.groupby('class').hwy.agg(['min', 'median', 'max', 'count']).reset_index()
class_df.head(3)

Out[3]:

	class	min	median	max	count
0	2seater	23	25.0	26	5
1	compact	23	27.0	44	47
2	midsize	23	27.0	32	41

In [4]:

gggrid([
    ggplot(class_df, aes(x='class')) + geom_crossbar(aes(ymin='min', y='median', ymax='max')),
    ggplot(class_df, aes(x='class')) + geom_crossbar(aes(ymin='min', y='median', ymax='max'), tooltips=layer_tooltips().disable_splitting()),

    ggplot(class_df, aes(y='class')) + geom_crossbar(aes(xmin='min', x='median', xmax='max')),
    ggplot(class_df, aes(y='class')) + geom_crossbar(aes(xmin='min', x='median', xmax='max'), tooltips=layer_tooltips().disable_splitting()),

    ggplot(class_df, aes(x='class')) + geom_crossbar(aes(ymin='min', y='median', ymax='max')) + coord_flip(),
    ggplot(class_df, aes(x='class')) + geom_crossbar(aes(ymin='min', y='median', ymax='max'), tooltips=layer_tooltips().disable_splitting()) + coord_flip(),
], ncol=2)

Out[4]:

In [5]:

gggrid([
    ggplot(class_df, aes(x='class')) + geom_crossbar(aes(ymin='min', ymax='max')),
    ggplot(class_df, aes(x='class')) + geom_crossbar(aes(ymin='min', ymax='max'), tooltips=layer_tooltips().disable_splitting()),

    ggplot(class_df, aes(y='class')) + geom_crossbar(aes(xmin='min', xmax='max')),
    ggplot(class_df, aes(y='class')) + geom_crossbar(aes(xmin='min', xmax='max'), tooltips=layer_tooltips().disable_splitting()),

    ggplot(class_df, aes(x='class')) + geom_crossbar(aes(ymin='min', ymax='max')) + coord_flip(),
    ggplot(class_df, aes(x='class')) + geom_crossbar(aes(ymin='min', ymax='max'), tooltips=layer_tooltips().disable_splitting()) + coord_flip(),
], ncol=2)

Out[5]:

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