Plotly library of Python can be very useful for data visualization and understanding the data simply and easily.

plotly.figure_factory.create_choropleth

 A Choropleth Map is a map composed of colored polygons. It is used to represent spatial variations of a quantity.

Syntax: plotly.figure_factory.create_choropleth(fips, values, scope=['usa'], binning_endpoints=None, colorscale=None, order=None, legend_title='', **layout_options)

Parameters:

fips ((list)) – it describes the list of FIPS values which correspond to the con catination of state and county ids.

values ((list)) – These are the values that will determine how the counties are colored.

scope ((list)) – it describes the list of states and/or states abbreviations. Fits all states in the camera tightly.

binning_endpoints ((list)) – it describes the ascending numbers which implicitly define real number intervals which are used as bins. 

colorscale ((list)) – it is a list of colors with length equal to the number of categories of colors. 

Example: Choropleth a few counties in California

import plotly.figure_factory as ff

fips = ['06021', '06023', '06027',
        '06029', '06033', '06059',
        '06047', '06049', '06051',
        '06055', '06061']
values = range(len(fips))

fig = ff.create_choropleth(fips=fips, values=values)
fig.layout.template = None
fig.show()

Output: