Cumulative scatter plots

[mwouts]

Thanks for the beautiful and so helpful library!

I often plot cumulative returns, and would find it very helpful if the running sum was computed by plotly itself.

Below are a few pseudo examples with my expectations:

• go.Scatter(x=[0,1,2,3], y=[1,2,3,4], accumulate=True) produces the same plot as go.Scatter(x=[0,1,2,3], y=[1,3,6,10]) (accumulated left to right, starting at first value)
• go.Scatter(x=[0,1,2,3], y=[1,2,3,4], accumulate=True), when zoomed on x=[2,3] produces the same plot as go.Scatter(x=[2,3], y=[3,7])

Ideally, I would also like to be able to specify

• the reference x coordinate for starting the accumulation: either a fixed x (clipped to the viewing window), left (minus infinity?) or right, the x center of the viewing window, etc...
• an x/y series for the reference y level (was zero above). That would be useful to superimpose cumulative plots onto classical scatter lines.

I also found a similar question on the community site, but it does not seem to have led to an implementation.

[mwouts]

I note that cumulative histograms are already available.

[antoinerg]

Thank you @mwouts! I hope the solution you found works great for you. If it does, please close this issue!

[alexcjohnson]

@antoinerg I read @mwouts comment to mean "we already have this for histograms, but I want it for scatter." Seems reasonable, either as a new mode to histogram or a cumulative extension to scatter. Seems to me @chriddyp was already asking for this at some point...

[mwouts]

Hi everyone, sure I was only citing the histogram example as a related implementation, not as a solution. I would recommend a cumulative extension to scatter rather than a new mode in histogram, as the histogram mode is very specific to probability distributions (and, naturally, cumulative values there do not change when we zoom).

[antoinerg]

@alexcjohnson Oh my bad! Not enough ☕ for me today. Let's keep this open then!

[mwouts]

Sure, no problem! Thanks for considering this development.

[gvwilson]

Hi - this issue has been sitting for a while, so as part of our effort to tidy up our public repositories I'm going to close it. If it's still a concern, we'd be grateful if you could open a new issue (with a short reproducible example if appropriate) so that we can add it to our stack. Cheers - @gvwilson