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plotly.py
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pip install plotly==5.17.0 Inside Jupyter (installable with pip install "jupyterlab>=3" "ipywidgets>=7.6"): 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. Overviewplotly.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 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==5.17.0or conda. conda install -c plotly plotly=5.17.0 JupyterLab SupportFor use in JupyterLab, install the jupyterlab and ipywidgets packages using pip: pip install "jupyterlab>=3" "ipywidgets>=7.6"or conda: conda install "jupyterlab>=3" "ipywidgets>=7.6"The instructions above apply to JupyterLab 3.x. For JupyterLab 2 or earlier, run the following commands to install the required JupyterLab extensions (note that this will require node to be installed): # JupyterLab 2.x renderer support jupyter labextension install [email protected] @jupyter-widgets/jupyterlab-managerPlease check out our Troubleshooting guide if you run into any problems with JupyterLab. Jupyter Notebook SupportFor 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" Static Image Exportplotly.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). KaleidoThe kaleido package has no dependencies and can be installed using pip... pip install -U kaleidoor conda. conda install -c conda-forge python-kaleido OrcaWhile Kaleido is now the recommended image export approach because it is easier to install and more widely compatible, static image export can also be supported by the legacy 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 psutilOr, psutil can be installed using pip... pip install psutiland orca can be installed according to the instructions in the orca README. Extended Geo SupportSome 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==1.0.0or conda conda install -c plotly plotly-geo=1.0.0 MigrationIf 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 Copyright and LicensesCode and documentation copyright 2019 Plotly, Inc. Code released under the MIT license. Docs released under the Creative Commons license. |
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