I can use a slider to show monthly data on a USA-states map. Now if I want to create a county level map for a given state (or a group of states), it is not clear now to add a slider that changes the data on the county map.
For state map, i can do the following (following example at: https://amaral.northwestern.edu/blog/step-step-how-plot-map-slider-represent-time-evolu):
fig = dict(data=data_slider, layout=layout)
plotly.offline.iplot(fig)
where data_slider is a list:
[dict( type=‘choropleth’, locations=…, z=…, …), dict( type=‘choropleth’, locations=…, z=…, …), …]
I do not see something equivalent when creating a county map (for a given state) as follows:
import plotly.figure_factory as ff
fig = ff.create_choropleth(fips=…, values=…, scope=…)
Example for creating county maps: https://plot.ly/python/county-choropleth/
ff.create_choropleth fips does not take a list of datasets, I can only pass one months data values to color the counties. Also in my case the list of counties (fips values) changes month to month. For each month I have a set of counties (fips) and their corresponding values (to color the counties).
Any ideas if this possible?