Python is a popular programming language for data science, and there are a number of libraries available for data visualization. Here are the top 8 Python libraries for data visualization:
Matplotlib: A comprehensive library for creating static, animated, and interactive visualizations.
Seaborn: A Python library built on top of Matplotlib. It provides a high-level interface for creating attractive and informative statistical graphics.
Plotly: A Python library for creating interactive web-based visualizations.
Bokeh: A Python library for creating interactive web-based visualizations. It is more focused on creating high-performance visualizations.
Geoplotlib: A Python library for creating interactive maps.
Altair: A Python library for creating declarative visualizations.
Pygal: A Python library for creating SVG (Scalable Vector Graphics) charts.
Pydeck: A Python library for creating 3D visualizations.
These are just a few of the many Python libraries available for data visualization. The best library for you will depend on your specific needs and requirements.
