pip install plotly

See the Python documentation for more examples.

plotly.py is an interactive, open-source, and browser-based graphing library for Python ✨

Built on top of plotly.js, plotly.py is a high-level, declarative charting library. plotly.js ships with over 30 chart types, including scientific charts, 3D graphs, statistical charts, SVG maps, financial charts, and more.

plotly.py is MIT Licensed. Plotly graphs can be viewed in Jupyter notebooks, other Python notebook software such as marimo, as standalone HTML files, or integrated into Dash applications.

Contact us for consulting, dashboard development, application integration, and feature additions.

• Online Documentation
• Contributing to plotly
• Changelog
• Code of Conduct
• Community forum

plotly.py may be installed using pip

or conda.

For use as a Jupyter widget, install jupyter and anywidget packages using pip:

or conda:

plotly.py supports static image export, using either the kaleido package (recommended, supported as of plotly version 4.9) or the orca command line utility (legacy as of plotly version 4.9).

The kaleido package has no dependencies and can be installed using pip

or conda

Some plotly.py features rely on fairly large geographic shape files. The county choropleth figure factory is one such example. These shape files are distributed as a separate plotly-geo package. This package can be installed using pip...

or conda

plotly-geo can be found on Github at https://github.com/plotly/plotly-geo.

Code and documentation copyright 2019 Plotly, Inc.

Code released under the MIT license.

Docs released under the Creative Commons license.