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plotly.py

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Quickstart

pip install plotly

import plotly.express as px
fig = px.bar(x=["a", "b", "c"], y=[1, 3, 2])
fig.show()

See the Python documentation for more examples.

Overview

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

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

Installation

plotly.py may be installed using pip

pip install plotly

or conda.

conda install -c conda-forge plotly

Jupyter Widget Support

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

pip install jupyter anywidget

or conda:

conda install jupyter anywidget

Static Image Export

plotly.py supports static image export, using the kaleido package (version 1.0 or greater).

Kaleido has minimal dependencies and can be installed using pip

pip install -U kaleido

or conda

conda install -c conda-forge python-kaleido

Kaleido requires Chrome or Chromium to generate images. By default, Kaleido will use the Chrome or Chromium version already installed on your system. If you don't have it installed or Kaleido can't find it, you may need to install it by running the command:

plotly_get_chrome

on your command line.

Copyright and Licenses

Code and documentation copyright 2019 Plotly, Inc.

Code released under the MIT license.

Docs released under the Creative Commons license.