donut#
A donut chart populated with browser market share percentages. This example demonstrates the low-level bokeh.models API.
Details
- Bokeh APIs:
- More info:
- Keywords:
pandas, donut, wedge
from math import pi
from bokeh.io import show
from bokeh.models import (AnnularWedge, ColumnDataSource,
Legend, LegendItem, Plot, Range1d)
from bokeh.sampledata.browsers import browsers_nov_2013 as df
xdr = Range1d(start=-2, end=2)
ydr = Range1d(start=-2, end=2)
plot = Plot(x_range=xdr, y_range=ydr)
plot.title.text = "Web browser market share (November 2013)"
plot.toolbar_location = None
colors = {
"Chrome": "seagreen",
"Firefox": "tomato",
"Safari": "orchid",
"Opera": "firebrick",
"IE": "skyblue",
"Other": "lightgray",
}
aggregated = df.groupby("Browser").sum(numeric_only=True)
selected = aggregated[aggregated.Share >= 1].copy()
selected.loc["Other"] = aggregated[aggregated.Share < 1].sum()
browsers = selected.index.tolist()
angles = selected.Share.map(lambda x: 2*pi*(x/100)).cumsum().tolist()
browsers_source = ColumnDataSource(dict(
start = [0] + angles[:-1],
end = angles,
colors = [colors[browser] for browser in browsers],
))
glyph = AnnularWedge(x=0, y=0, inner_radius=0.9, outer_radius=1.8,
start_angle="start", end_angle="end",
line_color="white", line_width=3, fill_color="colors")
r= plot.add_glyph(browsers_source, glyph)
legend = Legend(location="center")
for i, name in enumerate(colors):
legend.items.append(LegendItem(label=name, renderers=[r], index=i))
plot.add_layout(legend, "center")
show(plot)