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Diffstat (limited to 'docs/ref/contrib/gis/tutorial.txt')
| -rw-r--r-- | docs/ref/contrib/gis/tutorial.txt | 24 |
1 files changed, 12 insertions, 12 deletions
diff --git a/docs/ref/contrib/gis/tutorial.txt b/docs/ref/contrib/gis/tutorial.txt index 34014d7be4..395eac1821 100644 --- a/docs/ref/contrib/gis/tutorial.txt +++ b/docs/ref/contrib/gis/tutorial.txt @@ -362,24 +362,24 @@ Now, the world borders shapefile may be opened using GeoDjango's >>> from django.contrib.gis.gdal import DataSource >>> ds = DataSource(world_shp) - >>> print ds + >>> print(ds) / ... /geodjango/world/data/TM_WORLD_BORDERS-0.3.shp (ESRI Shapefile) Data source objects can have different layers of geospatial features; however, shapefiles are only allowed to have one layer:: - >>> print len(ds) + >>> print(len(ds)) 1 >>> lyr = ds[0] - >>> print lyr + >>> print(lyr) TM_WORLD_BORDERS-0.3 You can see what the geometry type of the layer is and how many features it contains:: - >>> print lyr.geom_type + >>> print(lyr.geom_type) Polygon - >>> print len(lyr) + >>> print(len(lyr)) 246 .. note:: @@ -397,7 +397,7 @@ system associated with it -- if it does, the ``srs`` attribute will return a :class:`~django.contrib.gis.gdal.SpatialReference` object:: >>> srs = lyr.srs - >>> print srs + >>> print(srs) GEOGCS["GCS_WGS_1984", DATUM["WGS_1984", SPHEROID["WGS_1984",6378137.0,298.257223563]], @@ -413,7 +413,7 @@ latitude. In addition, shapefiles also support attribute fields that may contain additional data. Here are the fields on the World Borders layer: - >>> print lyr.fields + >>> print(lyr.fields) ['FIPS', 'ISO2', 'ISO3', 'UN', 'NAME', 'AREA', 'POP2005', 'REGION', 'SUBREGION', 'LON', 'LAT'] Here we are examining the OGR types (e.g., whether a field is an integer or @@ -428,7 +428,7 @@ feature's attribute fields (whose **values** are accessed via ``get()`` method):: >>> for feat in lyr: - ... print feat.get('NAME'), feat.geom.num_points + ... print(feat.get('NAME'), feat.geom.num_points) ... Guernsey 18 Jersey 26 @@ -443,16 +443,16 @@ method):: And individual features may be retrieved by their feature ID:: >>> feat = lyr[234] - >>> print feat.get('NAME') + >>> print(feat.get('NAME')) San Marino Here the boundary geometry for San Marino is extracted and looking exported to WKT and GeoJSON:: >>> geom = feat.geom - >>> print geom.wkt + >>> print(geom.wkt) POLYGON ((12.415798 43.957954,12.450554 ... - >>> print geom.json + >>> print(geom.json) { "type": "Polygon", "coordinates": [ [ [ 12.415798, 43.957954 ], [ 12.450554, 43.979721 ], ... @@ -659,7 +659,7 @@ in transformation SQL, allowing the developer to work at a higher level of abstraction:: >>> qs = WorldBorder.objects.filter(mpoly__intersects=pnt) - >>> print qs.query # Generating the SQL + >>> print(qs.query) # Generating the SQL SELECT "world_worldborder"."id", "world_worldborder"."name", "world_worldborder"."area", "world_worldborder"."pop2005", "world_worldborder"."fips", "world_worldborder"."iso2", "world_worldborder"."iso3", "world_worldborder"."un", "world_worldborder"."region", |