Hi, regarding the last example in the HeatMap documentation: If I combine two plots from different preformatted dataframes like this:
df1.hvplot.heatmap(x='columns', y='index') + df2.hvplot.heatmap(x='columns', y='index')
they always share the same axes and values scaling, i.e. I get
:Layout
.HeatMap.I :HeatMap [columns,index] (value)
.HeatMap.II :HeatMap [columns,index] (value)
I know I can use shared_axes=False
to unshare everything. But is there a simple way to rename the axes and values dimensions of the two plots individually, such that only part of the ranges are shared? I was thinking like .redim.label(columns='station_name')
or such, but that only changes the label, not the underlying dim.