Create Stunning Animated Plots on Streamlit

Table of Contents:

1. Introduction
2. Animated Charts in Streamlit
3. First Example: GDP Per Capita and Life Expectancy 3.1. Current Chart 3.2. Drawbacks of the Current Chart 3.3. Introducing Animation
4. Second Example: COVID-19 Chart 4.1. Current Chart 4.2. Drawbacks of the Current Chart 4.3. Adding Animation 4.4. Adjusting Animation Speed 4.5. Filtering Data
5. Conclusion
6. FAQs

Animated Charts in Streamlit

In this tutorial, we will explore how to Create animated charts using Streamlit. Animated charts are a visually appealing way to represent data and can provide valuable insights. We will cover two examples: one with GDP per capita and life expectancy data and another with COVID-19 data. By the end of this tutorial, You will be able to create your own animated charts in Streamlit.

First Example: GDP Per Capita and Life Expectancy

Current Chart

Our first example involves a dataset containing GDP per capita, life expectancy, and continent information for each country over the years. The initial chart displays life expectancy on the y-axis and GDP per capita on the x-axis. Currently, there is no animation, and users can manually change the year to observe the data. Each continent is represented by a different color.

Drawbacks of the Current Chart

While the Current chart allows users to view specific years and differentiate between continents, it does not effectively demonstrate changes over time. To Visualize the data's evolution, an animation would be more suitable.

Introducing Animation

To introduce animation, we need to modify the chart. By adding two new parameters, "animation frame" and "animation group," we can create the desired effect. The "animation frame" parameter specifies the variable on which the animation is Based, which, in this case, is the year. The "animation group" parameter groups the data points based on a specific variable, such as the continent.

Second Example: COVID-19 Chart

Current Chart

For our second example, we will work with a COVID-19 dataset that includes country, date, and confirmed cases information. The current chart allows users to view data for a specific date and even compare multiple countries. However, it lacks animation to showcase the progression of COVID-19 cases.

Drawbacks of the Current Chart

Without animation, it is challenging to observe the changes in COVID-19 cases over time. Users must manually adjust the date to visualize the data's evolution in different countries.

Adding Animation

To add animation to the COVID-19 chart, we need to include the "animation frame" and "animation group" parameters. In this case, the "animation frame" is set to the date variable, while the "animation group" is country. This will enable the chart to display the progression of COVID-19 cases across different dates and countries.

Adjusting Animation Speed

By modifying the transition times of the animation, you can control the speed at which the chart animates. Experimenting with these values allows you to find the optimal animation speed for your needs.

Filtering Data

If desired, you can implement a filter to display COVID-19 cases only after a specific date. This can help focus on the data Relevant to your analysis and avoid cluttering the chart.

Conclusion

Animated charts are an excellent tool for visualizing data changes over time. In this tutorial, we explored how to add animation to charts in Streamlit. We covered examples with GDP per capita and life expectancy data, as well as COVID-19 data. By following the provided steps, you can create appealing and informative animated charts for your own projects.

FAQs

Q: What is Streamlit? A: Streamlit is a tool used to create interactive and customizable data applications. It simplifies the process of building web-based data visualizations and is especially popular among data scientists.

Q: Are animated charts supported in Streamlit? A: Yes, Streamlit allows you to create animated charts by leveraging the "animation frame" and "animation group" parameters in popular charting libraries like Matplotlib and Plotly.

Q: Can I adjust the animation speed in Streamlit? A: Yes, you can adjust the animation speed by modifying the transition times of the animation. This allows you to control how quickly or slowly the chart animates.

Q: Are there any limitations to creating animated charts in Streamlit? A: While Streamlit offers the necessary functionality for creating animated charts, more complex animations may require additional coding and customization.

Q: Is Streamlit suitable for beginners? A: Yes, Streamlit is designed to be beginner-friendly, making it accessible to individuals with little to no programming experience.

Q: Where can I find the code for creating animated charts in Streamlit? A: The code for creating animated charts in Streamlit can be found in the description of the tutorial video, along with the option to download a Streamlit template for easier app creation.

Q: Can I Apply animation to other types of charts in Streamlit? A: Absolutely. The techniques described in this tutorial can be applied to various chart types, allowing you to animate bar graphs, line charts, and more.

Q: Are there any advanced features of animated charts in Streamlit? A: Yes, animated charts can be further customized and enhanced with additional features, such as dynamic color schemes, interactive elements, and sophisticated transitions. Advanced versions of animated charts require more in-depth knowledge and experimentation.