pie_chart.py¶
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
- 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)