We also encourage you to join the Plotly Community Forum if you want help with anything related to plotly. Once you've installed, you can use our documentation in three main ways: Note: This package is optional, and if it is not installed it is not possible for figures to be uploaded to the Chart Studio cloud service. Plotly may be installed using pip:$ pip install plotly=5.13.1 Custom Branded Logos for JupyterLab and RetroLab (Jupyter notebook v.7). To learn more about URLs in Jupyterlab, visit JupyterLab URLs. Additionally, JupyterLab URLs are an advanced part of the user interface that allows for managing workspaces. 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. Ele almak kpek yavrusu apse jupyterlab vs notebook transformatr krem ballk. Like the classic notebook, JupyterLab provides a way for users to copy URLs that open a specific notebook or file.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.Extension Developer Guide Common Extension Points Reusing JupyterLab UI Documents Notebook React User Interface Helpers Internationalization and Localization Identity Extension Tutorial Extension Migration Guide JupyterLab Developer Guide. This Getting Started guide explains how to install plotly and related optional pages. JupyterLab on JupyterHub JupyterLab on Binder Extension Developer Guide. 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. 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.
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