Say Goodbye to Matplotlib and Seaborn for Your Python Plots

It’s time to up your visualization game!

Pic Credits: Unsplash

Data visualization has emerged as the most intuitive and effective way for the human brain to understand complex information. Visualizations not only help us to identify patterns and relationships that might be difficult to discern from raw data, but they also enable us to present our findings in a more engaging and compelling manner.

While R provides some great data visualization and dashboarding packages such as ggplot2, leaflet, and R Shiny, Python lags behind in this aspect as Matplotlib is not a great visualization package.

Seaborn is a good alternative for creating static plots in Python, but it lacks interactivity. With a static plot, we cannot zoom into the interesting sections of the plots, hover over the plots to see the specific information, and more.

Please share claps and comments if you learn something new by the end of this story.

This is where Plotly comes in!

Plotly is a Python library for creating interactive, high-quality visualizations.

Plotly not only makes plots interactive, but it also provides a wide variety of charts such as statistical charts, scientific charts, financial charts…