Is it possible to only have 1 axis linked / shared over 2 plots in holoviews or hvplot?
I basically want my y-axis not be linked / shared, so every plot has a varying range on the y-axis.
But the x-axis should be shared / linked, so that when I make a selection on one plot, the selected x-range is updated on the other plots too.
When I use
.opts(axiswise=True) none of the axes is shared and linked anymore.
I could of course change the labels on the y-axis for 1 of the plots, but that feels like cheating.
import numpy as np import pandas as pd import holoviews as hv from holoviews import opts hv.extension('bokeh') df1 = pd.DataFrame(np.random.rand(10, 2), columns=['x', 'y']) df2 = pd.DataFrame(np.random.rand(10, 2) * 10, columns=['x', 'y']) (hv.Scatter(df1) + hv.Scatter(df2)).opts(opts.Scatter(axiswise=True))