Don’t use Matplotlib or Seaborn for Your Python Plots
It’s time to up your visualization game!
Data Visualization is the most comfortable and intuitive way for the human brain to effectively understand any information. For anyone working with data, the ability to create beautiful intuitive visualizations is a very important skill to have to be able to effectively convey the findings and drive actions.
R, provides some great data visualization (ggplot2, leaflet) and dashboarding (using R Shiny) packages using which you can create beautiful visualizations. Python, on the other hand, lags behind a bit in this aspect as matplotlib is not a great visualization package.
Seaborn is a good alternative for creating static plots in python but doesn’t have the capability of making these interactive. 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.
So, here comes the plotly package!
Plotly is a Python library for creating interactive, publication-quality visualizations. Plotly not only makes the plots interactive, a functionality missing in matplotlib or seaborn, but also provides a variety of more charts such as :
- Statistical Charts such as tree…
