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The way PandasGUI uses Plotly doesn't involve the internet, it just saves an HTML file to your local temp directory and displays it in a webview through PyQt. If you care about interactivity I think that rules out Matplotlib and Seaborn, unless you only want to zoom and pan without highlighting points or anything related to the data.
Seaborn is just a wrapper around Matplotlib, it's the same underlying engine. The strongest alternatives to Plotly I was considering before settling on it for PandasGUI were Bokeh and Altair, which also use HTML and JS under the hood for rendering. |
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Hello,
I'm working on PandasGui and found out there is a lot of extern dependencies and calls. Also I couldn't find a way to make Plotly work correctly offline, so I'm now working on a full integration of interactive Matplotlib plots instead. I'm encountering a lot of challenges as there are some limitations with it and the interactive character I want to maintain.
So I would like to know if anyone already tried something similar ? Or have any Idea on how to build correctly the figure_viewer for the Matplotlib integration ?
If any of you have a better idea than Matplotlib, I was also thinking of Seaborn but I also need to consider dependencies as this may be used as a package later on.
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