1) फियोना , PyShp , ogr या ... geo_interface प्रोटोकॉल (GeoJSON) का उपयोग करके अपनी आकृति आकृति पढ़ें।
फियोना के साथ
import fiona
shape = fiona.open("my_shapefile.shp")
print shape.schema
{'geometry': 'LineString', 'properties': OrderedDict([(u'FID', 'float:11')])}
#first feature of the shapefile
first = shape.next()
print first # (GeoJSON format)
{'geometry': {'type': 'LineString', 'coordinates': [(0.0, 0.0), (25.0, 10.0), (50.0, 50.0)]}, 'type': 'Feature', 'id': '0', 'properties': OrderedDict([(u'FID', 0.0)])}
PyShp के साथ
import shapefile
shape = shapefile.Reader("my_shapefile.shp")
#first feature of the shapefile
feature = shape.shapeRecords()[0]
first = feature.shape.__geo_interface__
print first # (GeoJSON format)
{'type': 'LineString', 'coordinates': ((0.0, 0.0), (25.0, 10.0), (50.0, 50.0))}
ओगर के साथ:
from osgeo import ogr
file = ogr.Open("my_shapefile.shp")
shape = file.GetLayer(0)
#first feature of the shapefile
feature = shape.GetFeature(0)
first = feature.ExportToJson()
print first # (GeoJSON format)
{"geometry": {"type": "LineString", "coordinates": [[0.0, 0.0], [25.0, 10.0], [50.0, 50.0]]}, "type": "Feature", "properties": {"FID": 0.0}, "id": 0}
2) शेपली ज्यामिति में परिवर्तन ( आकृति फ़ंक्शन के साथ)
# now use the shape function of Shapely
from shapely.geometry import shape
shp_geom = shape(first['geometry']) # or shp_geom = shape(first) with PyShp)
print shp_geom
LINESTRING (0 0, 25 10, 50 50)
print type(shp_geom)
<class 'shapely.geometry.linestring.LineString'>
3) अभिकलन
4) परिणामस्वरूप आकृति को बचाएं
geopandas.read_file("my_shapefile.shp")