Repository files navigation

Latest Release
User forum
PyPI Downloads
License

pip install plotly

importplotly.expressaspxfig=px.bar(x=["a","b","c"],y=[1,3,2])fig.show()

See thePython documentation for more examples.

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

Built on top ofplotly.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 isMIT Licensed. Plotly graphs can be viewed inJupyter notebooks, other Python notebook software such asmarimo, as standalone HTML files, or integrated intoDash 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

pip install plotly

or conda.

conda install -c conda-forge plotly

For use as a Jupyter widget, installjupyter andanywidgetpackages usingpip:

pip install jupyter anywidget

orconda:

conda install jupyter anywidget

plotly.py supportsstatic image export,using either thekaleidopackage (recommended, supported as ofplotly version 4.9) or theorcacommand line utility (legacy as ofplotly version 4.9).

Thekaleido package has no dependencies and can be installedusing pip

pip install -U kaleido

or conda

conda install -c conda-forge python-kaleido

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

pip install plotly-geo==1.0.0

or conda

conda install -c plotly plotly-geo=1.0.0

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

Code and documentation copyright 2019 Plotly, Inc.

Code released under theMIT license.

Docs released under theCreative Commons license.