plotly6.0.0
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An open-source, interactive data visualization library for Python
pip install plotly
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Requires Python
>=3.8
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, standalone HTML files, or integrated into Dash applications.
Contact us for consulting, dashboard development, application integration, and feature additions.
Installation
plotly.py may be installed using pip
pip install plotly
or conda.
conda install -c plotly 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
Copyright and Licenses
Code and documentation copyright 2019 Plotly, Inc.
Code released under the MIT license.
Docs released under the Creative Commons license.