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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.
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.
plotly.py may be installed using pip
pip install plotly
or conda.
conda install -c conda-forge plotly
For use as a Jupyter widget, install jupyter and anywidget
packages using pip:
pip install jupyter anywidget
or conda:
conda install jupyter anywidget
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
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 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.
Code and documentation copyright 2019 Plotly, Inc.
Code released under the MIT license.
Docs released under the Creative Commons license.