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authorClaude Paroz <claude@2xlibre.net>2015-03-10 19:42:38 +0100
committerClaude Paroz <claude@2xlibre.net>2015-03-10 19:42:38 +0100
commit57d42aef97eb8fa45584f2e863ccfa2b7c98d4b7 (patch)
treeb7d5a8bcd747e1d6362349b02846374b2fcb1e7f /docs/ref/contrib
parent1825365152c6474255f976dca4a68a8e3f070afa (diff)
Fixed download instructions for cities shapefile
Thanks Daniel Wiesmann for spotting the issue.
Diffstat (limited to 'docs/ref/contrib')
-rw-r--r--docs/ref/contrib/gis/gdal.txt6
1 files changed, 3 insertions, 3 deletions
diff --git a/docs/ref/contrib/gis/gdal.txt b/docs/ref/contrib/gis/gdal.txt
index ac8375e91f..49f124ec7d 100644
--- a/docs/ref/contrib/gis/gdal.txt
+++ b/docs/ref/contrib/gis/gdal.txt
@@ -34,9 +34,9 @@ The GDAL/OGR tools described here are designed to help you read in
your geospatial data, in order for most of them to be useful you have
to have some data to work with. If you're starting out and don't yet
have any data of your own to use, GeoDjango tests contain a number of
-simple data sets that you can use for testing. You can download them here:
+simple data sets that you can use for testing. You can download them here::
-https://github.com/django/django/raw/master/tests/gis_tests/data/cities/cities.shp
+ $ wget https://raw.githubusercontent.com/django/django/master/tests/gis_tests/data/cities/cities.{shp,prj,shx,dbf}
Vector Data Source Objects
==========================
@@ -72,7 +72,7 @@ each feature in that layer.
accessing the layers of data themselves, see the next section::
>>> from django.contrib.gis.gdal import DataSource
- >>> ds = DataSource(CITIES_PATH)
+ >>> ds = DataSource('/path/to/your/cities.shp')
>>> ds.name
'/path/to/your/cities.shp'
>>> ds.layer_count # This file only contains one layer