Adding date in subplots is slow
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- Python
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Description
Hi everyone!
I'm currently trying to create 50 subplots which will update each second like real time. I don't use dash because visualizing with Jupiter is more important for me.
Well, here is an example of a pseudocode
rows = 50
fig = go.FigureWidget(make_subplots(rows = rows, cols = 1, vertical_spacing = 0.005))
for i in range(1,rows+1):
fig.add_trace(go.Scatter(line_color = ...), row = i, col=1)
After, I update my subplots by signals. I decimated date and added in fig
with fig.batch_update():
for j in range(rows):
fig.data[j].x = trace['Date'][START:END]
fig.data[j].y = trace.iloc[START:END, col_st:col_end][str(col_end)]
And this procedure takes 3 seconds each loop, which is a very long time for my tasks. My question is how I can add more faster date.
If anyone wants to repeat the code, create date with size 100 and add to each subplots.
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Research direction
The issue provides pseudocode using FigureWidget, make_subplots, and batch_update, but names no repository files or tests. Start by reproducing 50 subplots with 100-point date arrays and profiling the update loop. Done would require a confirmed performance improvement or a documented explanation of the limiting path.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, python
- Domain
- data-visualization, performance
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100