What is Pygal?

Pygal is open source Python library that is specifically designed to create interactive and visually appealing charts and plots. It is used to create a wide range of chart types, including bar charts, line charts, pie charts, radar charts, scatter plots, and more. We can customize the graphs using various styles, colors, and labels to make them more interactive. Pygal allows saving the output in SVG(Scalable Vector Graphics).

Key Features of Pygal Library

• In Pygal, we can create a wide range of charts and plots which include line charts, pie charts, bar plots, radar charts, and more. We can choose any of those that are best suited to represent and visualize our data set.
• Plots and Charts are more interactive in Pygal as it provides data point highlighting, tooltips, and zoom features that make them more informative to the users.
• Pygal connects seamlessly with a variety of data sources, including CSV files, databases, and API answers. This integration feature ensures that the data analysis workflow is as smooth and efficient as possible.
• Pygal allows extensive customization of colors, fonts, legends, and other visual elements while it also provides pre-designed themes that are best suited to the visualization.

Checking the Python Version

The Pygal library is available for Python 3.6, 3.7, 3.8, 3.9, and pypy. So, It is important to install Python 3.6 or a later version in our system we can also check the version already installed python version by executing the below command in the terminal.

python --version

Installing Pygal

To use the features of Pygal library it should be installed on our system. To install Pygal execute the below command in a terminal or command prompt and if pip command is not working refer to pip install.

pip install pygal

Python has become one of the most popular programming languages for data science because of its vast collection of libraries. In data science, data visualization plays a crucial role that helps us to make it easier to identify trends, patterns, and outliers in large data sets. Pygal is best suited for Data visualizations. It is used to draw charts and plots such as bar plots, line charts, and box plots.