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Learning Geospatial Analysis with Python-Second Edition

You're reading from   Learning Geospatial Analysis with Python-Second Edition An effective guide to geographic information systems and remote sensing analysis using Python 3

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Product type Paperback
Published in Dec 2015
Publisher Packt
ISBN-13 9781783552429
Length 394 pages
Edition 1st Edition
Languages
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Author (1):
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Joel Lawhead Joel Lawhead
Author Profile Icon Joel Lawhead
Joel Lawhead
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Toc

Table of Contents (12) Chapters Close

Preface 1. Learning Geospatial Analysis with Python FREE CHAPTER 2. Geospatial Data 3. The Geospatial Technology Landscape 4. Geospatial Python Toolbox 5. Python and Geographic Information Systems 6. Python and Remote Sensing 7. Python and Elevation Data 8. Advanced Geospatial Python Modeling 9. Real-Time Data 10. Putting It All Together Index

dbfpy


Both OGR and PyShp read and write the dbf files because they are part of the shapefile specification. The dbf files contain the attributes and fields for the shapefiles. However, both libraries have very basic dbf support. Occasionally, you will need to do some heavy duty dbf work. The dbfpy3 module is a pure Python module dedicated to working with dbf files. It is currently hosted on github.com only. You can force easy_install to find the download by specifying the download file:

easy_install -f https://github.com/GeospatialPython/dbfpy3/archive/master.zip

If you are using pip to install packages, use the following command:

pip install https://github.com/GeospatialPython/dbfpy3/archive/master.zip

The following shapefile has over 600 dbf records representing U.S. Census Bureau tracts which make it a good sample for trying out dbfpy:

https://github.com/GeospatialPython/Learn/raw/master/GIS_CensusTract.zip

Let's open up the dbf file of this shapefile and look at the first record:

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