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Graphs slow with big data #462
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First off, thank you so much for the feedback.
Thanks again for the feedback these are great ideas! |
About the tags (seems they are called labels) I meant more to know about the issues before entering to it, for example https://github.com/pandas-profiling/pandas-profiling/issues I can check in a quick view and filter the issues of performance, bugs, the issues related with requesting features... idk maybe it doesn't really help much. |
That makes sense, i can work on (at the very least) adding tags to the open tickets |
@set92 So I've implemented the ←→ and ↑↓ key handlers on the describe (side panel & popup) and I ended up converting the QQ chart over to a plotly scattergl. Its definitely faster but the time its taking now is to send all the data across from the server to the browser because it trying to render a scatter with the #rows in dataframe times 2 (1 for the scatter and 1 for the trendline). Here's a demo: Screen.Recording.2021-04-16.at.12.43.42.AM.movLet me know what you think? I was also going to put some little captions by the column name header & the chart toggle to let users know that they use keys to navigate. |
It looks pretty cool, if you like it or want that could be extrapolated to all the interface, for example alt to select the top menu and the arrows to move around... etc to the point you are able to navigate around only with keyboard, but maybe is too much because not sure how many people will use this type of features. Maybe is better to wait until more people to request it and focus on other features. But really nice job, this library has improved a lot since I saw it for the first time, and now I know why 😄. |
@set92 I'll keep this open until I do the actual release. Just so people don't wonder why they don't see it yet 😉 I do really like the idea of having more keyboard navigation. I had added hotkeys a while back but they were mainly shortcuts to open/close popups. I'll keep digging on this stuff and will let you know when a new version out on pypi. P.S. feel free to toss your ⭐ on the repo 🙏 |
Updated in v1.43.0 |
I love the interactivity of plotly to plot data and visualize it, but the problem is when you try to do it with medium to big datasets. In my case I'm trying with a dataset of (235395, 21), I was surprise because in general is fast, but I wanted to mention a couple points.
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