plotly.py

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Quickstart

pip install plotly

pythonCopy
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.

<p align="center"> <a href="https://plotly.com/python/" target="_blank"> <img src="https://raw.githubusercontent.com/cldougl/plot_images/add_r_img/plotly_2017.png"> </a></p>

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

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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 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).

Kaleido

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

pip install -U kaleido

or conda

conda install -c conda-forge python-kaleido

Extended Geo Support

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...

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 at https://github.com/plotly/plotly-geo.

Copyright and Licenses

Code and documentation copyright 2019 Plotly, Inc.

Code released under the MIT license.

Docs released under the Creative Commons license.