Annotated Barchart

Use the labels parameter to create an annotated Barchart.

import pandas as pd

from lets_plot import *

LetsPlot.setup_html()

mpg_df = pd.read_csv ("https://raw.githubusercontent.com/JetBrains/lets-plot-docs/master/data/mpg.csv")
mpg_df.head(4)

	Unnamed: 0	manufacturer	model	displ	year	cyl	trans	drv	cty	hwy	fl	class
0	1	audi	a4	1.8	1999	4	auto(l5)	f	18	29	p	compact
1	2	audi	a4	1.8	1999	4	manual(m5)	f	21	29	p	compact
2	3	audi	a4	2.0	2008	4	manual(m6)	f	20	31	p	compact
3	4	audi	a4	2.0	2008	4	auto(av)	f	21	30	p	compact

Configure Layer Labels Using API Similar to the Tooltip Configuration API

gggrid([
    ggplot(mpg_df) + geom_bar(aes("trans"),
                              labels=layer_labels().line('@..count..')),
    ggplot(mpg_df) + geom_bar(aes("trans", y="..n.."), stat="sum", size=0,
                              labels=layer_labels().line('@..proppct..')) + coord_flip()
], widths=[1, 1.2])    

Stacked Bars

ggplot(mpg_df, aes('class', fill='drv')) + \
    geom_bar(labels=layer_labels().line('@..proppct..').format('..proppct..', '{d} %')) + \
    ggsize(700, 400)

ggplot(mpg_df, aes('class', fill='drv')) + \
    geom_bar(labels=layer_labels().line('@..proppct..').format('..proppct..', '{d} %'), 
             position='fill') + \
    coord_flip() + \
    ggsize(700, 400)

Narrow Bars

Too thin for labels to fit in.

ggplot(mpg_df, aes('class', fill='drv')) + \
    geom_bar(labels=layer_labels().line('@..proppct..').format('..proppct..', '{d} %'),
             position='dodge') + \
    ggsize(700, 400)

Color Adjustment (lightness correction)

from string import ascii_uppercase

data = {'v': list(ascii_uppercase)[:14]}

def with_label_color(color):
    if color is not None:
        return theme(label_text=element_text(color=color, face='bold',size=15))
    return theme(label_text=element_text(face='bold',size=15))

def bar_plot(color=None, palette=None):
    title_color = color if color is not 'white' else 'black'
    title = color if color is not None else 'Default'
    return (ggplot(data, aes('v', fill='v'))
            + geom_bar(labels=layer_labels().line('@v'))
            + theme(legend_position='none', text='blank', plot_title=element_text(color=title_color))
            + with_label_color(color)
            + scale_fill_brewer(palette=palette) 
            + ggtitle(title))

def bars(palette=None):
    return gggrid([
        bar_plot(palette=palette),
        None,
        
        bar_plot(color='white', palette=palette),
        bar_plot(color='black', palette=palette),
        bar_plot(color='grey', palette=palette),
        bar_plot(color='light_grey', palette=palette),

        bar_plot(color='red', palette=palette),
        bar_plot(color='pink', palette=palette),

        bar_plot(color='green', palette=palette),
        bar_plot(color='light_green', palette=palette),

        bar_plot(color='magenta', palette=palette),
        bar_plot(color='light_magenta', palette=palette),

        bar_plot(color='blue', palette=palette),
        bar_plot(color='cyan', palette=palette),
    ], 
        ncol=2) + ggsize(900,600)

bars()

bars(palette='Pastel2')

bars(palette='Set2')