Thanks! I did use geopandas and it seems it is the easiest method of
creating a choropleth in Python. Support for displaying a colorbar for
noncategorical data is missing so I implemented it but my PR hasn't
been merged yet.
On Fri, Nov 14, 2014 at 6:07 PM, Benjamin Root wrote:
> Sorry for the de
Sorry for the delay. Here is an example I came across today using geopandas
and pysal:
http://nbviewer.ipython.org/github/geopandas/geopandas/blob/master/examples/choropleths.ipynb
Cheers!
Ben Root
On Fri, Oct 24, 2014 at 3:59 PM, Christian Alis wrote:
> Hi Ben,
>
> Yes, indeed. I'm referring t
Hi Ben,
Yes, indeed. I'm referring to a choropleth. :)
Thanks,
Christian
On Oct 24, 2014 8:23 PM, "Benjamin Root" wrote:
> Do you mean choropleth? http://en.wikipedia.org/wiki/Choropleth_map
>
> On Fri, Oct 24, 2014 at 1:18 PM, ianalis wrote:
>
>> I have been creating chloropleth maps in Pyth
Do you mean choropleth? http://en.wikipedia.org/wiki/Choropleth_map
On Fri, Oct 24, 2014 at 1:18 PM, ianalis wrote:
> I have been creating chloropleth maps in Python by adding patches and/or
> polygons in a matplotlib Axes but I'm looking for something easier to use.
>
> Ideally, the interface s
I have been creating chloropleth maps in Python by adding patches and/or
polygons in a matplotlib Axes but I'm looking for something easier to use.
Ideally, the interface should be similar to how contour maps or pseudocolor
plots are created where, at the minimum, only one call to a function is
ne