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Practical Data Science Cookbook, Second Edition

You're reading from   Practical Data Science Cookbook, Second Edition Data pre-processing, analysis and visualization using R and Python

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781787129627
Length 434 pages
Edition 2nd Edition
Languages
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Authors (5):
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Anthony Ojeda Anthony Ojeda
Author Profile Icon Anthony Ojeda
Anthony Ojeda
Prabhanjan Narayanachar Tattar Prabhanjan Narayanachar Tattar
Author Profile Icon Prabhanjan Narayanachar Tattar
Prabhanjan Narayanachar Tattar
ABHIJIT DASGUPTA ABHIJIT DASGUPTA
Author Profile Icon ABHIJIT DASGUPTA
ABHIJIT DASGUPTA
Sean P Murphy Sean P Murphy
Author Profile Icon Sean P Murphy
Sean P Murphy
Bhushan Purushottam Joshi Bhushan Purushottam Joshi
Author Profile Icon Bhushan Purushottam Joshi
Bhushan Purushottam Joshi
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Table of Contents (12) Chapters Close

Preface 1. Preparing Your Data Science Environment 2. Driving Visual Analysis with Automobile Data with R FREE CHAPTER 3. Creating Application-Oriented Analyses Using Tax Data and Python 4. Modeling Stock Market Data 5. Visually Exploring Employment Data 6. Driving Visual Analyses with Automobile Data 7. Working with Social Graphs 8. Recommending Movies at Scale (Python) 9. Harvesting and Geolocating Twitter Data (Python) 10. Forecasting New Zealand Overseas Visitors 11. German Credit Data Analysis

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...
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