p15693087
/
django
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

Updated GIS docs wrt GIS test paths

This commit is contained in:
Claude Paroz 2015-03-10 17:59:27 +01:00
parent 0cb6a85f5e
commit 1825365152
3 changed files with 7 additions and 11 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
docs/ref/contrib/gis/db-api.txt
View File

@ -205,7 +205,7 @@ Then distance queries may be performed as follows::
>>> qs = SouthTexasCity.objects.filter(point__distance_gte=(pnt, D(mi=20))) >>> qs = SouthTexasCity.objects.filter(point__distance_gte=(pnt, D(mi=20)))
>>> qs = SouthTexasCity.objects.filter(point__distance_gte=(pnt, D(chain=100))) >>> qs = SouthTexasCity.objects.filter(point__distance_gte=(pnt, D(chain=100)))
__ https://github.com/django/django/blob/master/django/contrib/gis/tests/distapp/models.py __ https://github.com/django/django/blob/master/tests/gis_tests/distapp/models.py
.. _compatibility-table: .. _compatibility-table:

14
docs/ref/contrib/gis/gdal.txt
View File

@ -33,14 +33,10 @@ Sample Data
The GDAL/OGR tools described here are designed to help you read in 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 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 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 comes with a number of have any data of your own to use, GeoDjango tests contain a number of
simple data sets that you can use for testing. This snippet will simple data sets that you can use for testing. You can download them here:
determine where these sample files are installed on your computer::
>>> import os https://github.com/django/django/raw/master/tests/gis_tests/data/cities/cities.shp
>>> import django.contrib.gis
>>> GIS_PATH = os.path.dirname(django.contrib.gis.__file__)
>>> CITIES_PATH = os.path.join(GIS_PATH, 'tests/data/cities/cities.shp')
Vector Data Source Objects Vector Data Source Objects
========================== ==========================
@ -77,8 +73,8 @@ each feature in that layer.
>>> from django.contrib.gis.gdal import DataSource >>> from django.contrib.gis.gdal import DataSource
>>> ds = DataSource(CITIES_PATH) >>> ds = DataSource(CITIES_PATH)
>>> ds.name # The exact filename may be different on your computer >>> ds.name
'/usr/local/lib/python3.4/site-packages/django/contrib/gis/tests/data/cities/cities.shp' '/path/to/your/cities.shp'
>>> ds.layer_count # This file only contains one layer >>> ds.layer_count # This file only contains one layer
1 1

2
docs/ref/contrib/gis/geoquerysets.txt
View File

@ -730,7 +730,7 @@ the distance from the `Tasmanian`__ city of Hobart to every other
in kilometers. See :doc:`measure` for usage details and the list of in kilometers. See :doc:`measure` for usage details and the list of
:ref:`supported_units`. :ref:`supported_units`.
__ https://github.com/django/django/blob/master/django/contrib/gis/tests/distapp/models.py __ https://github.com/django/django/blob/master/tests/gis_tests/distapp/models.py
__ http://en.wikipedia.org/wiki/Tasmania __ http://en.wikipedia.org/wiki/Tasmania
``length`` ``length``