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Introducing plotly.py 3.0.0

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Re: Introducing plotly.py 3.0.0

#11

Post by maartenbreddels »

Excellent work!

From the article:

> I’ve worked with a lot of data visualization libraries over the years, both proprietary and open source, and I don’t know of any that can both display a million points this quickly, and support zooming, panning, and selection at interactive speed. (And now that I’ve I said this, I look forward to learning about some in the Hacker News discussion of this post )

FYI: https://github.com/maartenbreddels/ipyvolume does this in 3d already for quite a while, and based on this I've created a PR for bqplot (2d) https://github.com/bloomberg/bqplot/pull/661 That last one is not released though.

Re: Introducing plotly.py 3.0.0

#12

Post by jmmease »

maartenbreddels wrote: post #11

Excellent work! From the article: > I’ve worked with a lot of data visualization libraries over the years, both proprietary and open source, and I don’t know of any that can both display a million points this quickly, and support zooming, panning, and selection at interactive speed. (And now that I’ve I said this, I look forward to learning about some in the Hacker News discussion of this post ) FYI: https://github.c…

Thanks!

Yeah, I should have clarified that I meant in 2D. ipyvolume is super impressive, and I didn't know you were working on bringing some of that webgl goodness to bqplot. Very cool!

Does ipyvolume have support some kind of points selection in 3D? Or is the idea that you'd perform selections using 2D projections in bqplot?

Re: Introducing plotly.py 3.0.0

#13

Post by maartenbreddels »

jmmease wrote: post #12
maartenbreddels wrote: post #11

Excellent work! From the article: > I’ve worked with a lot of data visualization libraries over the years, both proprietary and open source, and I don’t know of any that can both display a million points this quickly, and support zooming, panning, and selection at interactive speed. (And now that I’ve I said this, I look forward to learning about some in the Hacker News discussion of this post ) FYI: https://github.c…

Thanks! Yeah, I should have clarified that I meant in 2D. ipyvolume is super impressive, and I didn't know you were working on bringing some of that webgl goodness to bqplot. Very cool! Does ipyvolume have support some kind of points selection in 3D? Or is the idea that you'd perform selections using 2D projections in bqplot?

np, yes it does do 3d selections (projected only for now), shown here https://twitter.com/maartenbreddels/status/96712877380723507... but not yet documented. Should be for the next version (0.5, to be released this year)

Re: Introducing plotly.py 3.0.0

#15

Post by jmmease »

LukeB42 wrote: post #14
jmmease wrote: post #2

Hi HN, This is Jon from the release announcement. AMA!

Is it possible to have the lasso tool return a list of selected data points?

Yes! You use the trace.on_selection method to register a callback function. Here's an example: https://github.com/jonmmease/plotly_ipywidget_notebooks/blob...

Re: Introducing plotly.py 3.0.0

#16

Post by kmonad »

3.0.0 introduces a new Jupyter widget class: plotly.graph_objs.FigureWidget

For me, it doesn't. Every time I am tempted to use plotly I find it is either not working well with jupyter offline environments (a must for the data I am working with) or random bits an pieces from some official tutorial don't work.

Right now I have tried to follow the simple example that claims Jupyter. plotly.offline.init_notebook_mode and plotly.offline.iplot are no longer necessary -- which would be amazing. But when I try this, confirming I am indeed using plotly 3.0,

  plotly.graph_objs
has no

  FigureWidget
Maybe I am missing something obvious here. And I really would like to like this, but to me it's been a time sink more than a useful module.

Edit: hn formatting

Re: Introducing plotly.py 3.0.0

#17

Post by jmmease »

kmonad wrote: post #16

3.0.0 introduces a new Jupyter widget class: plotly.graph_objs.FigureWidget For me, it doesn't. Every time I am tempted to use plotly I find it is either not working well with jupyter offline environments (a must for the data I am working with) or random bits an pieces from some official tutorial don't work. Right now I have tried to follow the simple example that claims Jupyter. plotly.offline.init_notebook_mode and…

Do you have ipywidgets >= 7.2 installed (See install instruction at https://github.com/plotly/plotly.py)?

ipywidgets is an optional dependency and FigureWidget won't be available without it.

Re: Introducing plotly.py 3.0.0

#18

Post by kmonad »

jmmease wrote: post #17
kmonad wrote: post #16

3.0.0 introduces a new Jupyter widget class: plotly.graph_objs.FigureWidget For me, it doesn't. Every time I am tempted to use plotly I find it is either not working well with jupyter offline environments (a must for the data I am working with) or random bits an pieces from some official tutorial don't work. Right now I have tried to follow the simple example that claims Jupyter. plotly.offline.init_notebook_mode and…

Do you have ipywidgets >= 7.2 installed (See install instruction at https://github.com/plotly/plotly.py )? ipywidgets is an optional dependency and FigureWidget won't be available without it.

Thanks - that solved it! Works great now.

Re: Introducing plotly.py 3.0.0

#19

Post by LukeB42 »

jmmease wrote: post #15
LukeB42 wrote: post #14

Earlier quoted context omitted.

Is it possible to have the lasso tool return a list of selected data points?

Yes! You use the trace.on_selection method to register a callback function. Here's an example: https://github.com/jonmmease/plotly_ipywidget_notebooks/blob...

That's f'n awesome. Many thanks!
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