plotly · PyPI
pypi.org › project › plotlyNov 15, 2021 · plotly.py is an interactive, open-source, and browser-based graphing library for Python :sparkles: 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.
Getting Started - Plotly
plotly.com › python › getting-startedplotly.py supports static image export, using the 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). Kaleido¶ The kaleido package has no dependencies and can be installed using pip...
plotly · PyPI
https://pypi.org/project/plotly15.11.2021 · plotly.py is an interactive, open-source, and browser-based graphing library for Python :sparkles: 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.
Version 4 Migration Guide in Python - Plotly
plotly.com › python › v4-migrationVersion 4 introduces a new renderers framework that is a generalization of version 3's plotly.offline.init_notebook_mode and plotly.offline.iplot functions for displaying figures. This is a non-breaking change : the plotly.offline.iplot function is still available and has been reimplemented on top of the renderers framework, so no changes are ...
Getting Started - Plotly
https://plotly.com/python/getting-startedIn version 4, all "online" functionality was removed from the plotly package and is now available as the separate, optional, chart-studio package (See below). plotly.py version 4 is "offline" only, and does not include any functionality for uploading figures or data to cloud services.
Fileopts - Plotly
plotly.com › python › v3For example, if a graph named 'my plot' already exists in your account, then it will be overwritten with this new version and the URL of the graph will persist. In [2]: import plotly.plotly as py import plotly.graph_objs as go data = [ go.Scatter( x=[1, 2], y=[3, 4] ) ] plot_url = py.plot(data, filename='my plot')