rraymondgh
rraymondgh
You can achieve quite simply using a **list comprehension** and `explode()`. Code below shows with **pandas** and **geopandas** explode. Clearly to @martinfleis comment this is a looping solution, would be...
I would expect that there are test cases to go with this change. i.e. there will be cases where in v0.11.0 it does not detect categorical and with this branch...
- This notebook doesn't contain any markdown cells documenting what the example is doing. - the output using `print()` rather than notebook cell output. Take a look at any other...
cleaning up things that have been pending > 3 months
@martinfleis is it worth me doing a PR to change this behaviour? Sort of expect it to go to `/dev/null`. Did I incorrectly label it as bug when it should...
I've checked down call stack, replacing `red` with `r` means nothing shows. Additionally at **leaflet** level, there are no errors in the console. Hence no oppertunity to propagate an error...
Looking at matplotlib have found ``` import geopandas import matplotlib.colors df = geopandas.read_file(geopandas.datasets.get_path("naturalearth_lowres")) c = "r" c = matplotlib.colors.to_hex(c) if matplotlib.colors.is_color_like(c) else c df.boundary.explore(color=c) ``` it would be simple to...
@martinfleis @jorisvandenbossche I'm recommending this issue gets closed. I did a PR that would provide this capability [2477](https://github.com/geopandas/geopandas/pull/2477) and closed it. I concluded it is a bad idea - **folium**...
close #2471
> There is an issue I am not sure how to approach. With this patch, we support the abbreviations in `color` but not all the other keywords that control color...