Top 5 Python Visualization Libraries for Data Scientists 2024
Discover the top 5 Python visualization libraries for stunning data visualizations in 2024. Learn secret tools used by data analysts and scientists.
Python, known for its simple syntax and ability to work as a glue language, has many useful libraries (standard and third-party). This has made Python the most popular programming language (ranked first by TIOBE from January to October 2023).
I have used many Python libraries. For data analysis and visualization, I frequently use various visualization libraries. These libraries cater to different needs and are highly productive.
Basic Visualization: Matplotlib, Seaborn, Altair
Interactive Visualization: Bokeh, Plotly
Map Visualization: Cartopy, Folium
Web Visualization: Dash
BI Visualization: Superset
Flowchart Visualization: PyGraphviz
Here’s a detailed introduction to five common visualization libraries: Matplotlib, Seaborn, Altair, Bokeh, and Plotly.