Hits: 29
How to generate grouped PIE plot using Python
Creating a grouped pie chart in Python can be accomplished using the matplotlib library. The first step is to import the library and the necessary submodules for creating a pie chart.
data = [[20, 30, 50], [40, 10, 50], [35, 45, 20]]The example above represents three groups of data, each with three values.
Once you have your data, you can create the chart using the following code:
// create the chart
fig, ax = plt.subplots()
ax.axis('equal')
// Create pie charts
pie1 = ax.pie(data[0], labels=['A', 'B', 'C'], autopct='%1.1f%%')
pie2 = ax.pie(data[1], labels=['D', 'E', 'F'], autopct='%1.1f%%', labeldistance=0.6, radius=0.6, startangle=90)
pie3 = ax.pie(data[2], labels=['G', 'H', 'I'], autopct='%1.1f%%', labeldistance=0.8, radius=0.8)
// Add legend
plt.legend(title='Groups', bbox_to_anchor=(1, 0.5))
// Show the chart
plt.show()In this example, the “autopct” parameter is used to format the values displayed within each slice of the pie chart. The “labels” parameter is used to specify the label for each value, and the “labeldistance” parameter is used to control the distance of the labels from the center of the chart. The radius parameter controls the radius of each group’s pie. Additionally, you can add legend by passing title and the bbox_to_anchor(bounding box to anchor) parameter.
With this code, you should now have a grouped pie chart that displays the data you specified. You can customize the appearance of the chart further by using other options available in the matplotlib library.
You can also use other libraries like seaborn or plotly, as they also provide functionality for grouped pie chart in an efficient way.
In this Learn through Codes example, you will learn: How to generate grouped PIE plot using Python.
Disclaimer: The information and code presented within this recipe/tutorial is only for educational and coaching purposes for beginners and developers. Anyone can practice and apply the recipe/tutorial presented here, but the reader is taking full responsibility for his/her actions. The author (content curator) of this recipe (code / program) has made every effort to ensure the accuracy of the information was correct at time of publication. The author (content curator) does not assume and hereby disclaims any liability to any party for any loss, damage, or disruption caused by errors or omissions, whether such errors or omissions result from accident, negligence, or any other cause. The information presented here could also be found in public knowledge domains.