I hope you are well in these interesting and difficult times.
I am currently using Plot.ly for some visualization code and overall, we are enjoying the resulting interactive plots! One issue which I’m sure is no surprise is speed. Using the
cProfile library, it seems a lot of our overhead is coming from
Granted, we are making multiple figures (5-6), each with 3-12 subplots on them and each subplot containing upwards of 10+ lines each, so it is a lot of data.I recognize that.
I did want to reach out and ask if there were any known workarounds go getting these function calls to run faster. We basically used the examples to piece together our visualization code, so we are doing individual
add_trace()calls for each line.
Furthermore, I have attempted to use the
add_traces()call to try and group plotting together, but it doesn’t seem to earn me much. Perhaps I am using it incorrectly.
Any advice would help! Thank you!