On Apr 18, 2016, at 9:40 PM, Jason Li <jhli.potomac@gmail.com> wrote:
Hi Bryan,
Thank you so much for the information so that I could convert the dict as Dataframe.
Jason
On Mon, Apr 18, 2016 at 10:15 PM, Bryan Van de Ven <bryan@bokeh.org> wrote:
Hi Jason,
I apologize but it's been awhile, so I don't recall the data format of that very well. It was thrown together fairly quickly to get that demo showing. A little poking reveals that
bokeh.sampledata.us_counties.data
is a plain python dict. It is indexed by some tuple of id's for each county (I definitely don't remember what the id's are from). For each county-tuple-id is another dict that has the data for each county. It looks like this:
In [31]: us_counties.data[(5,51)].keys()
Out[31]: dict_keys(['lats', 'name', 'lons', 'state'])
So for every county, there is a name, a state and two lists, one for latitudes, and one for longitudes.
I hope that is enough info to get you going.
Thanks,
Bryan
> On Apr 18, 2016, at 8:52 PM, Jason Li <jhli.potomac@gmail.com> wrote:
>
> Hi folks, I am new and looking for a tool to generate a USA map.
> I came across this Texas map example. I would like to do some
> research and generate a similar map with my own data. Can anyone tell
> me how to access this two data ( us_counties, unemployment).
> It looks the head() function does not work
> Thanks in advance
>
> Jason
>
> from bokeh.sampledata import us_counties, unemployment
>
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