Re: [Matplotlib-users] Easiest way to create a chloropleth in Python

[Christian A. <ia...@gm...>]

Hi Ben,

Yes, indeed. I'm referring to a choropleth. :)

Thanks,

Christian
On Oct 24, 2014 8:23 PM, "Benjamin Root" <ben...@ou...> wrote:

> Do you mean choropleth? http://en.wikipedia.org/wiki/Choropleth_map
>
> On Fri, Oct 24, 2014 at 1:18 PM, ianalis <ia...@gm...> 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 should be similar to how contour maps or
>> pseudocolor
>> plots are created where, at the minimum, only one call to a function is
>> needed to create these plots from data. Colors are automatically assigned
>> and normalized based on values. A colorbar can then be added by calling
>> another function.
>>
>> So far, the closest package seems to be geopandas. Is there an another
>> package that is nearer to what I want? That is, is there a package that
>> can
>> make a (basic) chloropleth of values stored as a dictionary, numpy array
>> or
>> pandas dataframe in one call?
>>
>> I'm willing to contribute code and help develop the chloropleth capability
>> of a package since I currently end up creating my own function and
>> manipulating Axes internals just to create a chloropleth.
>>
>>
>>
>> --
>> View this message in context:
>> http://matplotlib.1069221.n5.nabble.com/Easiest-way-to-create-a-chloropleth-in-Python-tp44195.html
>> Sent from the matplotlib - users mailing list archive at Nabble.com.
>>
>>
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>