Open In App
Related Articles

plotly.figure_factory.create_choropleth() function in Python

Improve
Improve
Improve
Like Article
Like
Save Article
Save
Report issue
Report

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

Python3

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:


Last Updated : 26 Jul, 2020
Like Article
Save Article
Previous
Next
Share your thoughts in the comments
Similar Reads