Book Image

Practical Data Science Cookbook, Second Edition - Second Edition

By : Prabhanjan Narayanachar Tattar, Bhushan Purushottam Joshi, Sean Patrick Murphy, ABHIJIT DASGUPTA, Anthony Ojeda
Book Image

Practical Data Science Cookbook, Second Edition - Second Edition

By: Prabhanjan Narayanachar Tattar, Bhushan Purushottam Joshi, Sean Patrick Murphy, ABHIJIT DASGUPTA, Anthony Ojeda

Overview of this book

As increasing amounts of data are generated each year, the need to analyze and create value out of it is more important than ever. Companies that know what to do with their data and how to do it well will have a competitive advantage over companies that don’t. Because of this, there will be an increasing demand for people that possess both the analytical and technical abilities to extract valuable insights from data and create valuable solutions that put those insights to use. Starting with the basics, this book covers how to set up your numerical programming environment, introduces you to the data science pipeline, and guides you through several data projects in a step-by-step format. By sequentially working through the steps in each chapter, you will quickly familiarize yourself with the process and learn how to apply it to a variety of situations with examples using the two most popular programming languages for data analysis—R and Python.
Table of Contents (17 chapters)
Title Page
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Preface

Plotting geospatial data in Python


One of Python's greatest strengths is the number and diversity of available packages that make many complex tasks simple, as someone else has already written most of the code. As a result, we sometimes encounter the paradox of choice where too many options confuse the issue and we just want one good option. In this recipe, we will plot a set of latitude and longitude coordinates using an excellent Python package: folium - that wraps a JavaScript library, which is leaflet.js. You will learn more about folium further along in the recipe.

Getting ready

You will need the geographic data extracted in the previous recipes (a set of longitude and latitude coordinates). Also, we need to install the folium package, which is shown in the following section, so you will need an internet connection.

How to do it...

The following steps will help you convert the latitude and longitude data you have to plot on a map:

  1. Open your terminal. We need to install the Python package...