plotly.figure_factory.create_choropleth() function in Python Last Updated : 26 Jul, 2020 Comments Improve Suggest changes Like Article Like 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: Create Quiz Comment D deepanshumehra1410 Follow 0 Improve D deepanshumehra1410 Follow 0 Improve Article Tags : Python Python-Plotly Explore Python FundamentalsPython Introduction 2 min read Input and Output in Python 4 min read Python Variables 4 min read Python Operators 4 min read Python Keywords 2 min read Python Data Types 8 min read Conditional Statements in Python 3 min read Loops in Python - For, While and Nested Loops 5 min read Python Functions 5 min read Recursion in Python 4 min read Python Lambda Functions 5 min read Python Data StructuresPython String 5 min read Python Lists 4 min read Python Tuples 4 min read Python Dictionary 3 min read Python Sets 6 min read Python Arrays 7 min read List Comprehension in Python 4 min read Advanced PythonPython OOP Concepts 11 min read Python Exception Handling 5 min read File Handling in Python 4 min read Python Database Tutorial 4 min read Python MongoDB Tutorial 2 min read Python MySQL 9 min read Python Packages 10 min read Python Modules 3 min read Python DSA Libraries 15 min read List of Python GUI Library and Packages 3 min read Data Science with PythonNumPy Tutorial - Python Library 3 min read Pandas Tutorial 4 min read Matplotlib Tutorial 5 min read Python Seaborn Tutorial 3 min read StatsModel Library - Tutorial 3 min read Learning Model Building in Scikit-learn 6 min read TensorFlow Tutorial 2 min read PyTorch Tutorial 6 min read Web Development with PythonFlask Tutorial 8 min read Django Tutorial | Learn Django Framework 7 min read Django ORM - Inserting, Updating & Deleting Data 4 min read Templating With Jinja2 in Flask 6 min read Django Templates 5 min read Python | Build a REST API using Flask 3 min read Building a Simple API with Django REST Framework 3 min read Python PracticePython Quiz 1 min read Python Coding Practice 1 min read Python Interview Questions and Answers 15+ min read Like