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Python Geospatial Development

You're reading from   Python Geospatial Development Develop sophisticated mapping applications from scratch using Python 3 tools for geospatial development

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Product type Paperback
Published in May 2016
Publisher
ISBN-13 9781785288937
Length 446 pages
Edition 3rd Edition
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Author (1):
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Erik Westra Erik Westra
Author Profile Icon Erik Westra
Erik Westra
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Toc

Table of Contents (15) Chapters Close

Preface 1. Geospatial Development Using Python FREE CHAPTER 2. GIS 3. Python Libraries for Geospatial Development 4. Sources of Geospatial Data 5. Working with Geospatial Data in Python 6. Spatial Databases 7. Using Python and Mapnik to Generate Maps 8. Working with Spatial Data 9. Improving the DISTAL Application 10. Tools for Web-based Geospatial Development 11. Putting It All Together – a Complete Mapping System 12. ShapeEditor – Importing and Exporting Shapefiles 13. ShapeEditor – Selecting and Editing Features Index

Exporting shapefiles

We next need to implement the ability to export a shapefile. The process of exporting a shapefile is basically the reverse of the importing logic, and involves the following steps:

  1. Create an OGR shapefile to receive the exported data.
  2. Save the features and their attributes into the shapefile.
  3. Compress the shapefile into a ZIP archive.
  4. Delete our temporary files.
  5. Send the ZIP file back to the user's web browser.

All this work will take place in the shapefileIO.py module, with help from some utils.py functions. Before we begin, let's define the export_data() function so that we have somewhere to place our code. Edit shapefileIO.py, and add the following new function:

def export_data(shapefile):
    return "More to come..."

While we're at it, let's create the "Export Shapefile" view function. This will call the export_data() function to do all the work. Edit the shapefiles/views.py file and add the following new function:

def export_shapefile...
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