本文整理汇总了Python中shapely.geometry.GeometryCollection方法的典型用法代码示例。如果您正苦于以下问题:Python geometry.GeometryCollection方法的具体用法?Python geometry.GeometryCollection怎么用?Python geometry.GeometryCollection使用的例子?那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类shapely.geometry
的用法示例。
在下文中一共展示了geometry.GeometryCollection方法的15个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_cover_geometry_empty_geoms
# 需要导入模块: from shapely import geometry [as 别名]
# 或者: from shapely.geometry import GeometryCollection [as 别名]
def test_cover_geometry_empty_geoms(tiler):
"""Empty geometries should return empty iterators."""
assert not cover_geometry(tiler, geometry.Point(), 0) == True
assert not cover_geometry(tiler, geometry.Point(), [0, 1]) == True
assert not cover_geometry(tiler, geometry.MultiPoint(), 0) == True
assert not cover_geometry(tiler, geometry.MultiPoint(), [0, 1]) == True
assert not cover_geometry(tiler, geometry.LineString(), 0) == True
assert not cover_geometry(tiler, geometry.LineString(), [0, 1]) == True
assert not cover_geometry(tiler, geometry.MultiLineString(), 0) == True
assert not cover_geometry(tiler, geometry.MultiLineString(), [0, 1]) == True
assert not cover_geometry(tiler, geometry.Polygon(), 0) == True
assert not cover_geometry(tiler, geometry.Polygon(), [0, 1]) == True
assert not cover_geometry(tiler, geometry.MultiPolygon(), 0) == True
assert not cover_geometry(tiler, geometry.MultiPolygon(), [0, 1]) == True
assert not cover_geometry(tiler, geometry.GeometryCollection(), 0) == True
assert not cover_geometry(tiler, geometry.GeometryCollection(), [0, 1]) == True
示例2: _GeoJsonToShapelyGeometry
# 需要导入模块: from shapely import geometry [as 别名]
# 或者: from shapely.geometry import GeometryCollection [as 别名]
def _GeoJsonToShapelyGeometry(geometry):
"""Returns a |shapely| geometry from a GeoJSON geometry.
Args:
geometry: A dict or string representing a GeoJSON geometry.
Raises:
ValueError: If invalid GeoJSON geometry is passed.
"""
if isinstance(geometry, basestring):
geometry = json.loads(geometry)
if not isinstance(geometry, dict) or 'type' not in geometry:
raise ValueError('Invalid GeoJSON geometry.')
if 'geometries' in geometry:
return sgeo.GeometryCollection([_GeoJsonToShapelyGeometry(g)
for g in geometry['geometries']])
geometry = sgeo.shape(geometry)
if isinstance(geometry, sgeo.Polygon) or isinstance(geometry, sgeo.MultiPolygon):
geometry = geometry.buffer(0)
return geometry
示例3: _make_split
# 需要导入模块: from shapely import geometry [as 别名]
# 或者: from shapely.geometry import GeometryCollection [as 别名]
def _make_split(self):
""" Split each UTM grid into equally sized bboxes in correct UTM zone
"""
size_x, size_y = self.bbox_size
self.bbox_list = []
self.info_list = []
index = 0
for utm_cell in self.utm_grid:
utm_cell_geom, utm_cell_prop = utm_cell
# the UTM MGRS grid definition contains four 0 zones at the poles (0A, 0B, 0Y, 0Z)
if utm_cell_prop['zone'] == 0:
continue
utm_crs = self._get_utm_from_props(utm_cell_prop)
intersection = utm_cell_geom.intersection(self.shape_geometry.geometry)
if not intersection.is_empty and isinstance(intersection, GeometryCollection):
intersection = MultiPolygon(geo_object for geo_object in intersection
if isinstance(geo_object, (Polygon, MultiPolygon)))
if not intersection.is_empty:
intersection = Geometry(intersection, CRS.WGS84).transform(utm_crs)
bbox_partition = self._align_bbox_to_size(intersection.bbox).get_partition(size_x=size_x, size_y=size_y)
columns, rows = len(bbox_partition), len(bbox_partition[0])
for i, j in itertools.product(range(columns), range(rows)):
if bbox_partition[i][j].geometry.intersects(intersection.geometry):
self.bbox_list.append(bbox_partition[i][j])
self.info_list.append(dict(crs=utm_crs.name,
utm_zone=str(utm_cell_prop['zone']).zfill(2),
utm_row=utm_cell_prop['row'],
direction=utm_cell_prop['direction'],
index=index,
index_x=i,
index_y=j))
index += 1
示例4: _get_flat_poly_iter
# 需要导入模块: from shapely import geometry [as 别名]
# 或者: from shapely.geometry import GeometryCollection [as 别名]
def _get_flat_poly_iter(cls, poly):
if (isinstance(poly, shgeo.MultiPolygon) or
isinstance(poly, shgeo.MultiLineString) or
isinstance(poly, shgeo.GeometryCollection)):
yield from poly
else:
yield poly
示例5: geometry_collection
# 需要导入模块: from shapely import geometry [as 别名]
# 或者: from shapely.geometry import GeometryCollection [as 别名]
def geometry_collection():
return geometry.GeometryCollection(
(
geometry.Point(0, 0),
geometry.LineString([(0, 0), (0.8, 0.8), (1.8, 0.95), (2.6, 0.5)]),
geometry.Polygon([[0, 0], [0, 4], [4, 4], [4, 0]]),
)
)
示例6: HasCorrectGeoJsonWinding
# 需要导入模块: from shapely import geometry [as 别名]
# 或者: from shapely.geometry import GeometryCollection [as 别名]
def HasCorrectGeoJsonWinding(geometry):
"""Returns True if a GeoJSON geometry has correct windings.
A GeoJSON polygon should follow the right-hand rule with respect to the area it
bounds, ie exterior rings are CCW and holes are CW.
Args:
geometry: A dict or string representing a GeoJSON geometry.
Raises:
ValueError: If invalid input or GeoJSON geometry type.
"""
if isinstance(geometry, basestring):
geometry = json.loads(geometry)
if not isinstance(geometry, dict) or 'type' not in geometry:
raise ValueError('Invalid GeoJSON geometry.')
def _HasSinglePolygonCorrectWinding(coords):
exterior = coords[0]
if not sgeo.LinearRing(exterior).is_ccw:
return False
for hole in coords[1:]:
if sgeo.LinearRing(hole).is_ccw:
return False
return True
if geometry['type'] == 'Polygon':
coords = geometry['coordinates']
return _HasSinglePolygonCorrectWinding(coords)
elif geometry['type'] == 'MultiPolygon':
for coords in geometry['coordinates']:
if not _HasSinglePolygonCorrectWinding(coords):
return False
return True
elif geometry['type'] == 'GeometryCollection':
for subgeo in geometry['geometries']:
if not HasCorrectGeoJsonWinding(subgeo):
return False
return True
else:
return True
示例7: GetUrbanAreas
# 需要导入模块: from shapely import geometry [as 别名]
# 或者: from shapely.geometry import GeometryCollection [as 别名]
def GetUrbanAreas(simplify_deg=1e-3):
"""Gets the US urban area as a |shapely.GeometryCollection|.
Note: Client code should cache it as expensive to load (and not cached here).
Args:
simplify_deg: if defined, simplify the zone with given tolerance (degrees).
Default is 1e-3 which corresponds roughly to 100m in continental US.
"""
kml_file = os.path.join(CONFIG.GetNtiaDir(), URBAN_AREAS_FILE)
zones = _ReadKmlZones(kml_file, root_id_zone='Document', simplify=simplify_deg)
urban_areas = sgeo.GeometryCollection(zones.values()) # ops.unary_union(zones.values())
return urban_areas
示例8: shapely_to_mpl
# 需要导入模块: from shapely import geometry [as 别名]
# 或者: from shapely.geometry import GeometryCollection [as 别名]
def shapely_to_mpl(geometry):
"""
convert a shapely Polygon or Multipolygon to a matplotlib Path
:param polygon: shapely Polygon or Multipolygon
:return: MplPathProxy
"""
if isinstance(geometry, Polygon):
return MplPolygonPath(geometry)
elif isinstance(geometry, MultiPolygon) or geometry.is_empty or isinstance(geometry, GeometryCollection):
return MplMultipolygonPath(geometry)
raise TypeError
示例9: wrapped_geom
# 需要导入模块: from shapely import geometry [as 别名]
# 或者: from shapely.geometry import GeometryCollection [as 别名]
def wrapped_geom(self):
if not self.wrapped_geojson['coordinates']:
return GeometryCollection()
return shapely_shape(self.wrapped_geojson)
示例10: assert_multipolygon
# 需要导入模块: from shapely import geometry [as 别名]
# 或者: from shapely.geometry import GeometryCollection [as 别名]
def assert_multipolygon(geometry: Union[Polygon, MultiPolygon, GeometryCollection]) -> List[Polygon]:
"""
given a Polygon or a MultiPolygon, return a list of Polygons
:param geometry: a Polygon or a MultiPolygon
:return: a list of Polygons
"""
if geometry.is_empty:
return []
if isinstance(geometry, Polygon):
return [geometry]
return [geom for geom in geometry.geoms if isinstance(geom, Polygon)]
示例11: assert_multilinestring
# 需要导入模块: from shapely import geometry [as 别名]
# 或者: from shapely.geometry import GeometryCollection [as 别名]
def assert_multilinestring(geometry: Union[LineString, MultiLineString, GeometryCollection]) -> List[LineString]:
"""
given a LineString or MultiLineString, return a list of LineStrings
:param geometry: a LineString or a MultiLineString
:return: a list of LineStrings
"""
if geometry.is_empty:
return []
if isinstance(geometry, LineString):
return [geometry]
return [geom for geom in geometry.geoms if isinstance(geom, LineString)]
示例12: hybrid_union
# 需要导入模块: from shapely import geometry [as 别名]
# 或者: from shapely.geometry import GeometryCollection [as 别名]
def hybrid_union(geoms):
if not geoms:
return HybridGeometry(GeometryCollection(), ())
if len(geoms) == 1:
return geoms[0]
add_faces = {}
for other in geoms:
for crop_id, faces in other.add_faces.items():
add_faces[crop_id] = add_faces.get(crop_id, ()) + faces
return HybridGeometry(geom=unary_union(tuple(geom.geom for geom in geoms)),
faces=tuple(chain(*(geom.faces for geom in geoms))),
add_faces=add_faces,
crop_ids=reduce(operator.or_, (other.crop_ids for other in geoms), set()))
示例13: at
# 需要导入模块: from shapely import geometry [as 别名]
# 或者: from shapely.geometry import GeometryCollection [as 别名]
def at(self, idx):
"""Generate a PV segment geometry for the desired index.
Parameters
----------
idx : int
Index to use to generate PV segment geometry
Returns
-------
segment : :py:class:`~pvfactors.geometry.base.PVSurface` \
or :py:class:`~shapely.geometry.GeometryCollection`
The returned object will be an empty geometry if its length is
really small, otherwise it will be a PV surface geometry
"""
if self.length[idx] < DISTANCE_TOLERANCE:
# return an empty geometry
return GeometryCollection()
else:
# Get normal vector at idx
n_vector = (self.n_vector[:, idx] if self.n_vector is not None
else None)
# Get params at idx
# TODO: should find faster solution
params = _get_params_at_idx(idx, self.params)
# Return a pv surface geometry with given params
return PVSurface(self.coords.at(idx), shaded=self.shaded,
index=self.index, normal_vector=n_vector,
param_names=self.param_names,
params=params)
示例14: get_extract_population_data
# 需要导入模块: from shapely import geometry [as 别名]
# 或者: from shapely.geometry import GeometryCollection [as 别名]
def get_extract_population_data(city_ref, data_source, pop_shapefile=None, pop_data_file=None, to_crs={'init': 'epsg:4326'}, polygons_gdf=None):
"""
Get data population extract of desired data source for input city, calculating the convex hull of input buildings geodataframe
The population data frame is projected to the desired coordinate reference system
Stores the extracted shapefile
Returns the stored population data for input 'data source' and 'city reference' if it was previously stored
Parameters
----------
city_ref : string
name of input city
data_source : string
desired population data source
pop_shapefile : string
path of population count shapefile
pop_data_file : string
path of population data additional file (required for INSEE format)
to_crs : dict
desired coordinate reference system
polygons_gdf : geopandas.GeoDataFrame
polygons (e.g. buildings) for input region of interest which will determine the shape to extract
Returns
----------
geopandas.GeoDataFrame
returns the extracted population data
"""
# Input data source type given?
assert( data_source in DATA_SOURCES )
# Population extract exists?
if ( os.path.exists( get_population_extract_filename(city_ref, data_source) ) ):
log("Population extract exists for input city: "+city_ref)
return gpd.read_file( get_population_extract_filename(city_ref, data_source) )
# Input shape given?
assert( not ( np.all(polygons_gdf is None ) ) )
# Input population shapefile given?
assert( not pop_shapefile is None )
# All input files given?
assert( not ( (data_source == 'insee') and (pop_data_file is None) ) )
# Get buildings convex hull
polygon = GeometryCollection( polygons_gdf.geometry.values.tolist() ).convex_hull
# Convert to geo-dataframe with defined CRS
poly_gdf = gpd.GeoDataFrame([polygon], columns=["geometry"], crs=polygons_gdf.crs)
# Compute extract
df_pop = get_population_df(pop_shapefile, pop_data_file, data_source, to_crs, poly_gdf)
# Save to shapefile
df_pop.to_file( get_population_extract_filename(city_ref, data_source), driver='ESRI Shapefile' )
return df_pop
示例15: test_mem
# 需要导入模块: from shapely import geometry [as 别名]
# 或者: from shapely.geometry import GeometryCollection [as 别名]
def test_mem(driver_mem, gtype, geoms, ftypes, fields):
driver = driver_mem
ds = Dataset(allow_none_geometry=1)
with ds.acreate_vector('', gtype, ftypes, driver=driver, options=[], sr=SR1['wkt']).close as v:
for geom in geoms:
v.insert_data(geom, fields)
# TESTS 0
assert srs.wkt_same(v.wkt_stored, SR1['wkt'])
assert srs.wkt_same(v.wkt_virtual, SR1['wkt'])
for ftype, ftype_stored in zip(ftypes, v.fields):
for key, value in ftype.items():
assert ftype_stored[key] == value
assert v.mode == 'w'
assert v.type.lower() == gtype.lower()
# TESTS 1
datas = list(v.iter_data())
assert len(datas) == len(geoms)
assert len(v) == len(geoms)
# assert v.layer in {0, ''}
if not sg.GeometryCollection(geoms).is_empty:
assert eq(
v.bounds,
v.bounds_stored,
v.extent[[0, 2, 1, 3]],
v.extent_stored[[0, 2, 1, 3]],
sg.GeometryCollection(geoms).bounds
)
for geom, data in zip(geoms, datas):
if not isinstance(data, tuple):
data = (data,)
read_geom, *read_fields = data
if read_geom is None or read_geom.is_empty:
assert geom.is_empty
else:
assert (geom ^ read_geom).is_empty, (
geom.wkt,
read_geom.wkt,
)