[Data Visualization] Libraries

Matplotlib

Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python.

• Matplotlib

Matplotlib — Visualization with Python

 

Seaborn

Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics.

• Seaborn
• Seaborn Gallery

Example gallery — seaborn 0.13.2 documentation

 

Plotly

Plotly is a Python graphing library that makes interactive, publication-quality graphs online.

• Plotly
• Plotly Express

Plotly

 

Bokeh

Bokeh is an interactive visualization library that targets modern web browsers for presentation.

• Bokeh
• Bokeh Gallery

Gallery

 

Altair

Altair is a declarative statistical visualization library for Python, based on Vega and Vega-Lite.

• Altair
• Altair Gallery

Example Gallery — Vega-Altair 5.3.0 documentation

 

Holoviews

HoloViews is an open-source Python library designed to make data analysis and visualization seamless and simple.

• Holoviews
• Holoviews Gallery

Gallery — HoloViews v1.19.1

 

Geopandas

GeoPandas is an open-source project to make working with geospatial data in Python easier.

• Geopandas
• Geopandas Gallery

 

Folium

Folium builds on the data wrangling strengths of the Python ecosystem and the mapping strengths of the Leaflet.js library.

• Folium
• Folium Gallery

Redirecting to latest Folium documentation