How to install jupyter notebook8/30/2023 We also encourage you to join the Plotly Community Forum if you want help with anything related to plotly. You can check out our exhaustive reference guides: the Python API reference or the Figure Referenceįor information on using Python to build web applications containing plotly figures, see the Dash User Guide.If you prefer to learn about the fundamentals of the library first, you can read about the structure of figures, how to create and update figures, how to display figures, how to theme figures with templates, how to export figures to various formats and about Plotly Express, the high-level API for doing all of the above.You jump right in to examples of how to make basic charts, statistical charts, scientific charts, financial charts, maps, and 3-dimensional charts.Once you've installed, you can use our documentation in three main ways: This Getting Started guide explains how to install plotly and related optional pages. exporting notebooks to PDF with high-quality vector images). QtConsole, Spyder, P圜harm) and static document publishing (e.g. Thanks to deep integration with our Kaleido image export utility, plotly also provides great support for non-web contexts including desktop editors (e.g. The plotly Python library is sometimes referred to as "plotly.py" to differentiate it from the JavaScript library. Refer to the support article on troubleshooting Jupyter Notebooks in Workbenchįor additional information on troubleshooting Workbench with Jupyter.The plotly Python library is an interactive, open-source plotting library that supports over 40 unique chart types covering a wide range of statistical, financial, geographic, scientific, and 3-dimensional use-cases.īuilt on top of the Plotly JavaScript library ( plotly.js), plotly enables Python users to create beautiful interactive web-based visualizations that can be displayed in Jupyter notebooks, saved to standalone HTML files, or served as part of pure Python-built web applications using Dash. If you would like to use multiple versions of Python or different PythonĮnvironments, or if you want to install Jupyter Notebook in a separateĮnvironment from Python packages for end users, then you can refer to theĭocumentation for using multiple Python versions and environments with With core packages for Jupyter Notebooks. Want to use different versions of the same package or if some packages conflict While this is a simple approach, this setup can result in issues if end users The Python integration steps described above result in a single PythonĮnvironment that contains both core packages for Jupyter Notebooks as well as (Optional) Configure multiple Python versions or environments # Commenting out the configuration in question is sufficient to restore expected functionality. For example, setting a password in the files ~/.jupyter/jupyter-server-config.json or ~/jupyter/jupyter-server-config.py, will cause the JupyterLab session to start but not load through the Workbench interface. Some local Jupyter configurations may prevent the JupyterLab session from correctly launching in Workbench. (Optional) Configure multiple Python versions or environmentsĬonfigure RStudio on SageMaker to use Posit products Test Workbench with Launcher and Jupyter Notebooks Configure Launcher with Jupyter Notebooks Install Jupyter Notebooks, JupyterLab, and Python packages
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