How to create a sunburst chart using matplotlib python

Sunburst plots the elements to visualize data spanning outwards from root to leaves. The circle describes the node's root and the hierarchy moving outward from the center. The root starts from the center, adding children's elements to the outer rings. A ring chart, known as a sunburst chart, can help visualize the data represented by the circles. A sunburst diagram is like a TreeMap. 

Types of data that we can analyze with a Sunburst Chart:  

• Financial data 
• Social media data 
• Health data 
• Population data 
• Education data 

We must build a hierarchy of levels to Sunburst charts. We will specify the colors using the color name of the plots. If it is not specified, we must pick the sector colors by (default trace color set). The Sunburst chart is also the Ring Chart, Multi-Level Pie Chart, or TreeMap. It is a better way to visualize and access hierarchical data. We can apply the corresponding color if a sector has the same value for all its children. But we can use the first color of the color sequence for the different values. We can use the parent parameter to provide each sector of the parent. Here, we are using the matplotlib library to plot the Sunburst chart. 

Features  

• Intuitive & Easy to use: Once the data is ready, then your data and matplotlib. Up to two lines are necessary to generate the first plots. 
• Flexible & Robust: Methods responsible for spacing, coloring, styling, etc., of the element. It allows the setting of most properties. 

More specifically:  

• The positioning of labels is perfect, which depends on space. 

You can draw many plots with the subplot() function in one figure. The axis equals the aspect ratio, so the data elements are the same in every direction. We can change the x-, y-, and z-axis following the range of units in the x, y, and z directions. We can use the cmap for colormap and register with colormap name. A. By default, and different colormaps are available in matplotlib. NumPy arrange() is one of the array creations based on numerical ranges. It creates the ndarray with spaced values and returns its reference. 

The hierarchy of the Sunburst chart begins with the inner circle to the outer circle. It displays the relationship with each other. We must set the parent sectors. We have passed these color arguments to its children. The root of the Sunburst chart is 1st level. The branches are the second level, and the last level is the leaves of the Sunburst charts. We need to install the NumPy library for the arithmetic operations. You can also use Jupyter Notebook to access the following code. 

Here is an example of how to create a sunburst chart using matplotlib python: 

Fig : Preview of the output that you will get on running this code from your IDE.

Code

Instructions

Follow the steps carefully to get the output easily.

1. Download and Install the PyCharm Community Edition on your computer.
2. Open the terminal and install the required libraries with the following commands.
3. Install matplotlib - pip install matplotlib .
4. Install Numpy - pip install Numpy .
5. Create a new Python file on your IDE.
6. Copy the snippet using the 'copy' button and paste it into your Python file.
7. Run the current file to generate the output.

I hope you found this useful.

I found this code snippet by searching for ' Double donut chart in matplotlib ' in Kandi. You can try any such use case!

Environment Tested

I tested this solution in the following versions. Be mindful of changes when working with other versions.

1. PyCharm Community Edition 2022.3.1
2. The solution is created in Python 3.11.1 Version
3. Numpy 1.24.2 Version
4. matplotlib 3.7.1. Version

Using this solution, we can able to create a sunburst chart using matplotlib python with simple steps. This process also facilities an easy way to use, hassle-free method to create a hands-on working version of code which would help us to create a sunburst chart using matplotlib python.

Dependent Libraries

If you do not have matplotlib and numpy libraries that are required to run this code, you can install it by clicking on the above link.

You can search for any dependent library on kandi like matplotlib and numpy.

FAQ  

1. What is a sunburst chart in Python, and how is it different from a Treemap?  

The Sunburst chart has the inner circle enclosed by the rings. We can use it to represent the deeper hierarchy levels. It is a polar organized system. But the Treemap is an analytical coordinate system. 

• Sunburst uses one dimension. (angle) 
• The Treemap used two dimensions. (area) 

2. Are there other charts like a Sunburst, such as Ring Charts?  

Yes, there are many charts, like a Sunburst Chart. Sunburst data plots are ring, Treemap, sunburst diagram, circle packing, and dendrogram charts. 

3. What are the benefits of using hierarchical charts over flat ones for visual data analysis?  

• It allows users to get deeper data. 
• We can access the top hierarchy data. 
• It provides clear visual data and a better understanding of complex information. 
• We can identify the relationship between the data. 
• Find errors in the pattern. 
• We should pay more attention to that area. 
• We can add or delete unwanted information. 
• It gives one too many relationships. 

4. Is there an easy way to assign colors to each level of my tree structure with a specific color sequence?  

We can use the specified corresponding color if each column has the same sector value. Otherwise, we can apply the first color of the discrete color sequence. The color value is not specified. We can use the default trace color to pick the sector value. 

5. How can I create many color sets for the sunburst chart in Python?  

We can join the many color values with the same color axis. If an argument proceeds, we can calculate the node's color based on the average values of its children. 

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