Azaya

> [@Azaya89](https://github.com/Azaya89) can you please confirm? If so, we should deprecate it. I can confirm 🙂

HoloViz is trying to do something like this in a broader sense, see [Issue#430](https://github.com/holoviz/holoviz/issues/430) and for this specific task, I wrote a python script that can do this. Here's the...

Ditto comments by @rchurt and @ka-steve, I'm also having the same issues displaying more than one colorbar in my attempt to overlay two plots. Any progress on this feature?

Hi, I was not able to reproduce your error: ```python import hvplot.pandas import geodatasets import geopandas as gpd import numpy as np chicago = gpd.read_file(geodatasets.get_path("geoda.chicago_commpop")) chicago.hvplot.polygons( geo=True, c=chicago.POP2010/chicago.to_crs('EPSG:32616').area, clabel='pop density',...

It appears when you invert the data, the y-axis labels are not inverted, and therefore becomes wrong again ☹️ Will continue to investigate...

Still working on resolving for an inverted dataframe (plot B) but `invert_axes=True` options seems to work well now. Same with `invert_xaxis` and `invert_yaxis` options.

Added some tests as part of test driven development. The tests should pass fully when the issue is resolved.

> Before I review, can you please explain how you made these changes and what you focused on? The idea was to follow the numpydoc style guide as much as...

This works now but it seems a bit verbose to me. Will try to find a more elegant way to implement...

https://github.com/user-attachments/assets/2138d2c3-ecd3-473c-913b-952eebb848a7