How to Plot a Pie Chart using Bokeh Library in Python

Bokeh is a Python library which is used for data visualization. It creates its plots using HTML and JavaScript languages, and it also targets modern website browsers to provide presentation elegant, concise construction of novel graphics good high-performance interactivity.

In this tutorial, we will learn how to plot a pie chart by using the Bokeh library in Python. Although the bokeh library does not provide any module for directly plotting a pie chart, users can use wedge glyphs to create the pie chart.

The wedge () function has the following primary parameters:

The x and y coordinates of wedge
The radius
The start_angle of wedge
The end_angle of wedge

To plot wedges in such a way that the output looks like a pie chart. However, the x and y coordinates of the wedge and the radius parameters, the user has to adjust the start_angle and end_angle parameters.

Example 1:

<br />
# First, we will import the required modules<br />
from bokeh.plotting import figure as fig<br />
from bokeh.plotting import output_file as OF<br />
from bokeh.plotting import show</p>
<p># Create a file for saving the model<br />OF(“JTP.html”) </p>
<p># then, we will instantiate the figure object<br />graph1 = fig(title = “Pie Chart using Bokeh”) </p>
<p># initiate the center of the pie chart<br />x = 0<br />y = 0</p>
<p># then, we will initiate the radius of the glyphs<br />radius = 1</p>
<p># start angle values<br />start_angle = [0, 1.2, 2.1,<br />               3.3, 5.1]</p>
<p># end angle values<br />end_angle = [1.2, 2.1, 3.3,<br />             5.1, 0]</p>
<p># now, generate the color of the wedges<br />color1 = [“brown”, “grey”, “green”,<br />          “orange”, “red”]</p>
<p># now, we will plot the graph<br />graph1.wedge(x, y, radius,<br />            start_angle,<br />            end_angle,<br />            color = color1)</p>
<p># At last, we will display the graph<br />show(graph1)<br />

Output:

How to Plot a Pie Chart using Bokeh Library in Python

Example 2:

In this example, the user will visualize some data. The data contains the detail of the field in which a company invested in 2014 – 15. The fields are:

Customers: 5%
Innovation: 1%
Shares: 2%
Marketing: 1%
Technology: 1%

The user can convert the percentage into radian for finding the value of start_angle and end_angle by using the following formula:

<br />
math.radians((percent / 100) * 360)<br />

Code:

<br />
# First, we will import the required modules<br />
from bokeh.plotting import figure as fig<br />
from bokeh.plotting import output_file as OF<br />
from bokeh.plotting import show<br />
import math</p>
<p># Create a file for saving the model<br />OF(“JTP.html”) </p>
<p># then, we will instantiate the figure object<br />graph1 = fig(title = “Pie Chart using Bokeh”) </p>
<p># name of the fields for investment<br />fields = [“Customers”, “Innovation”, “Shares”, “Marketing”, “Technology”]</p>
<p># % tage weightage of the sectors<br />percentages = [12.5, 32.1, 21.2, 15.1, 19.1]</p>
<p># formula for converting percentage into radians<br />radians1 = [math.radians((percent / 100) * 360) for percent in percentages]</p>
<p># Generating the start angle values<br />start_angle = [math.radians(0)]<br />prev = start_angle[0]<br />for k in radians1[:-1]:<br />    start_angle.append(k + prev)<br />    prev = k + prev</p>
<p># generating the end angle values<br />end_angle = start_angle[1:] + [math.radians(0)]</p>
<p># initiate the center of the pie chart<br />x = 0<br />y = 0</p>
<p># then, we will initiate the radius of the glyphs<br />radius = 1</p>
<p># now, generate the color of the wedges<br />color1 = [“pink”, “yellow”, “lightgreen”,<br />          “orange”, “red”]</p>
<p># now, we will plot the graph<br />for k in range(len(fields)):<br />    graph1.wedge(x, y, radius,<br />                start_angle = start_angle[k],<br />                end_angle = end_angle[k],<br />                color = color1[k],<br />                legend_label = fields[k])</p>
<p># At last, we will display the graph<br />show(graph1)<br />

Output:

How to Plot a Pie Chart using Bokeh Library in Python

Conclusion

In this tutorial, we have discussed how we can plot a pie chart for the visualization of data by using the bokeh library in Python.

原创文章，作者：ItWorker，如若转载，请注明出处：https://blog.ytso.com/263326.html

How to Plot a Pie Chart using Bokeh Library in Python

How to Plot a Pie Chart using Bokeh Library in Python

Example 1:

Example 2:

Conclusion

相关推荐

发表回复