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pip install plotly==4.8.1
Inside Jupyter notebook (installable with pip install "notebook>=5.3" "ipywidgets>=7.2"):
import plotly.graph_objects as go
fig = go.Figure()
fig.add_trace(go.Scatter(y=[2, 1, 4, 3]))
fig.add_trace(go.Bar(y=[1, 4, 3, 2]))
fig.update_layout(title = 'Hello Figure')
fig.show()See the Python documentation for more examples.
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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, standalone HTML files, or hosted online using Chart Studio Cloud.
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plotly.py may be installed using pip...
pip install plotly==4.8.1
or conda.
conda install -c plotly plotly=4.8.1
For use in the Jupyter Notebook, install the notebook and ipywidgets
packages using pip...
pip install "notebook>=5.3" "ipywidgets==7.5"
or conda.
conda install "notebook>=5.3" "ipywidgets=7.5"
For use in JupyterLab, install the jupyterlab and ipywidgets
packages using pip...
pip install jupyterlab "ipywidgets==7.5"
or conda.
conda install jupyterlab "ipywidgets=7.5"
Then run the following commands to install the required JupyterLab extensions (note that this will require node to be installed):
# Basic JupyterLab renderer support
jupyter labextension install jupyterlab-plotly@4.8.1
# OPTIONAL: Jupyter widgets extension for FigureWidget support
jupyter labextension install @jupyter-widgets/jupyterlab-manager plotlywidget@4.8.1
Please check out our Troubleshooting guide if you run into any problems with JupyterLab.
plotly.py supports static image export using the to_image and write_image
functions in the plotly.io package. This functionality requires the
installation of the plotly orca command line utility and the
psutil Python package.
These dependencies can both be installed using conda:
conda install -c plotly plotly-orca==1.3.1 psutil
Or, psutil can be installed using pip...
pip install psutil
and orca can be installed according to the instructions in the orca README.
If you get an error message stating that the orca executable that was found is not valid, this may be because another executable with the same name was found on your system. Please specify the complete path to the Plotly-Orca binary that you downloaded (for instance in the Miniconda folder) with the following command:
plotly.io.orca.config.executable = '/home/your_name/miniconda3/bin/orca'
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
The chart-studio package can be used to upload plotly figures to Plotly's Chart
Studio Cloud or On-Prem service. This package can be installed using pip...
pip install chart-studio==1.0.0
or conda
conda install -c plotly chart-studio=1.0.0
If you're migrating from plotly.py v3 to v4, please check out the Version 4 migration guide
If you're migrating from plotly.py v2 to v3, please check out the Version 3 migration guide
Code and documentation copyright 2019 Plotly, Inc.
Code released under the MIT license.
Docs released under the Creative Commons license.