Book Image

Practical Data Science Cookbook

By : Tony Ojeda, Sean Patrick Murphy, Benjamin Bengfort, Abhijit Dasgupta
Book Image

Practical Data Science Cookbook

By: Tony Ojeda, Sean Patrick Murphy, Benjamin Bengfort, Abhijit Dasgupta

Overview of this book

<p>As increasing amounts of data is generated each year, the need to analyze and operationalize it is more important than ever. Companies that know what to do with their data will have a competitive advantage over companies that don't, and this will drive a higher demand for knowledgeable and competent data professionals.</p> <p>Starting with the basics, this book will cover how to set up your numerical programming environment, introduce you to the data science pipeline (an iterative process by which data science projects are completed), and guide 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 in the two most popular programming languages for data analysis—R and Python.</p>
Table of Contents (18 chapters)
Practical Data Science Cookbook
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

Plotting geospatial data in Python


One of Python's greatest strengths is the number and diversity of available packages that make many complex tasks as 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...