Vector data

We begin by adding support for vector data. We will be creating three submodules inside our vector package: data, loader, and saver. To make these accessible from their parent vector package, we need to import it in vector/__init__.py as follows:

from . import data
from . import loader
from . import saver

A data interface for vector data

The first thing we want is a data interface that we can conveniently interact with. This data interface will be contained in a module of its own, so create this module now and save it as vector/data.py.

We start off with a few basic imports, including compatibility functions for Shapely (which we installed in Chapter 1, Preparing to Build Your Own GIS Application) and the spatial indexing abilities of Rtree, a package we will install later. Note that vector data loading and saving, are handled by separate modules that we have not yet created, but since they are accessed through our data interface, we need to import them here:

# import builtins
import...

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Python Geospatial Development Essentials

By : Karim Bahgat

Python Geospatial Development Essentials

By: Karim Bahgat

Overview of this book

Vector data

A data interface for vector data

Python Geospatial Development Essentials

By : Karim Bahgat

Python Geospatial Development Essentials

By: Karim Bahgat

Overview of this book

Vector data

A data interface for vector data

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