dodged

一个基于纯 Python 列表的条形图。此示例演示了如何使用 dodge 转换来“分组”条形图。

详情

Bokeh APIs:

figure.vbar, bokeh.transform.dodge, bokeh.models.ColumnDataSource

更多信息:

分组, 视觉偏移

关键词:

bars, categorical, dodged, grouped

from bokeh.models import ColumnDataSource
from bokeh.plotting import figure, show
from bokeh.transform import dodge

fruits = ['Apples', 'Pears', 'Nectarines', 'Plums', 'Grapes', 'Strawberries']
years = ['2015', '2016', '2017']

data = {'fruits' : fruits,
        '2015'   : [2, 1, 4, 3, 2, 4],
        '2016'   : [5, 3, 3, 2, 4, 6],
        '2017'   : [3, 2, 4, 4, 5, 3]}

source = ColumnDataSource(data=data)

p = figure(x_range=fruits, y_range=(0, 10), title="Fruit Counts by Year",
           height=350, toolbar_location=None, tools="")

p.vbar(x=dodge('fruits', -0.25, range=p.x_range), top='2015', source=source,
       width=0.2, color="#c9d9d3", legend_label="2015")

p.vbar(x=dodge('fruits',  0.0,  range=p.x_range), top='2016', source=source,
       width=0.2, color="#718dbf", legend_label="2016")

p.vbar(x=dodge('fruits',  0.25, range=p.x_range), top='2017', source=source,
       width=0.2, color="#e84d60", legend_label="2017")

p.x_range.range_padding = 0.1
p.xgrid.grid_line_color = None
p.legend.location = "top_left"
p.legend.orientation = "horizontal"

show(p)