pie (original) (raw)
A pie chart populated by a simple dict of values. This example demonstrates a cumulative sum transform for computing positions for the wedges.
Details
Bokeh APIs:
bokeh.transform.cumsum, figure.wedge
More info:
Keywords:
cumsum, pandas, pie, wedge
from math import pi
import pandas as pd
from bokeh.palettes import Category20c from bokeh.plotting import figure, show from bokeh.transform import cumsum
x = { 'United States': 157, 'United Kingdom': 93, 'Japan': 89, 'China': 63, 'Germany': 44, 'India': 42, 'Italy': 40, 'Australia': 35, 'Brazil': 32, 'France': 31, 'Taiwan': 31, 'Spain': 29, }
data = pd.Series(x).reset_index(name='value').rename(columns={'index': 'country'}) data['angle'] = data['value']/data['value'].sum() * 2*pi data['color'] = Category20c[len(x)]
p = figure(height=350, title="Pie Chart", toolbar_location=None, tools="hover", tooltips="@country: @value", x_range=(-0.5, 1.0))
p.wedge(x=0, y=1, radius=0.4, start_angle=cumsum('angle', include_zero=True), end_angle=cumsum('angle'), line_color="white", fill_color='color', legend_field='country', source=data)
p.axis.axis_label = None p.axis.visible = False p.grid.grid_line_color = None
show(p)