I'm using fastplotlib to visualize a set of timeseries that has a few hundred sensors measuring two distinct variables with different units. This works fine with two scatter subplots stacked vertically, one for each variable.
Since the x-axis has identical range between my subplots (but the y-axis is very different), it would be really nice to have a linked pan/zoom/etc. between them. This corresponds exactly to the "sharex" (or "sharey") arguments that can be passed to plt.subplots() in matplotlib.
Is there a way to achieve this in the current version of fastplotlib?
I'm also interested to know if there is a way to get something resembling timestamps on the x-axis (but I would guess this is future work).
I'm using fastplotlib to visualize a set of timeseries that has a few hundred sensors measuring two distinct variables with different units. This works fine with two scatter subplots stacked vertically, one for each variable.
Since the x-axis has identical range between my subplots (but the y-axis is very different), it would be really nice to have a linked pan/zoom/etc. between them. This corresponds exactly to the "sharex" (or "sharey") arguments that can be passed to plt.subplots() in matplotlib.
Is there a way to achieve this in the current version of fastplotlib?
I'm also interested to know if there is a way to get something resembling timestamps on the x-axis (but I would guess this is future work).