I am using plotly in conjunction with weights and biases to log some rather hefty timeseries data (about 24 x 30,000 point charts per plot). Each plot is simply a line, with an x-axis of timestamps.
Each plot somehow takes up 50MB on disk, which is huge. My suspicion is that this is because each line is saved with unique x data, consisting of timestamp strings (see pic below).
Is there any way to force plotly to store unix timestamps instead of iso strings, and to make it share the x-axis data between plots with the same x-axis instead of storing a copy for each line? (ideally, it would simply store something like daterange(start, end, frequency) for the x-axis…).
Thanks for any help!