本文整理汇总了Python中shapely.geometry.mapping方法的典型用法代码示例。如果您正苦于以下问题:Python geometry.mapping方法的具体用法?Python geometry.mapping怎么用?Python geometry.mapping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.mapping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: snwe2file
# 需要导入模块: from shapely import geometry [as 别名]
# 或者: from shapely.geometry import mapping [as 别名]
def snwe2file(snwe):
"""Use Shapely to convert to GeoJSON & WKT.
Save local text files in variety of formats to record bounds: snwe.json,
snwe.wkt, snwe.txt.
Parameters
----------
snwe : list
bounding coordinates [south, north, west, east].
"""
S, N, W, E = snwe
roi = box(W, S, E, N)
with open("snwe.json", "w") as j:
json.dump(mapping(roi), j)
with open("snwe.wkt", "w") as w:
w.write(roi.wkt)
with open("snwe.txt", "w") as t:
snweList = "[{0:.3f}, {1:.3f}, {2:.3f}, {3:.3f}]".format(S, N, W, E)
t.write(snweList)
示例2: wkt_to_shp
# 需要导入模块: from shapely import geometry [as 别名]
# 或者: from shapely.geometry import mapping [as 别名]
def wkt_to_shp(wkt_list, shp_file):
'''Take output of build_graph_wkt() and render the list of linestrings
into a shapefile
# https://gis.stackexchange.com/questions/52705/how-to-write-shapely-geometries-to-shapefiles
'''
# Define a linestring feature geometry with one attribute
schema = {
'geometry': 'LineString',
'properties': {'id': 'int'},
}
# Write a new shapefile
with fiona.open(shp_file, 'w', 'ESRI Shapefile', schema) as c:
for i, line in enumerate(wkt_list):
shape = shapely.wkt.loads(line)
c.write({
'geometry': mapping(shape),
'properties': {'id': i},
})
return
###############################################################################
示例3: make_record
# 需要导入模块: from shapely import geometry [as 别名]
# 或者: from shapely.geometry import mapping [as 别名]
def make_record(properties: Dict[str, type], load_num: str, tree_row: Dict[str, str], point: Dict[str, str]):
"""
shp 파일에 입력할 수목 정보 생성
:return:
"""
# 레코드 기본 구조
record = {'properties': {"탐방로": load_num}, 'geometry': None}
# 수목 정보 입력
for key, value in zip(tree_row.keys(), tree_row.values()):
atr_type = properties[key]
# 속성 타입이 int인데 속성값이 ''일 경우 0으로 입력
record['properties'][key] = atr_type(value) if value or atr_type is str else 0
# 위치정보 입력
record['properties']['경도'] = point['경도']
record['properties']['위도'] = point['위도']
record['properties']['고도'] = point['고도']
record['geometry'] = mapping(Point(point['경도'], point['위도']))
return record
示例4: test_make_geocube__no_measurements
# 需要导入模块: from shapely import geometry [as 别名]
# 或者: from shapely.geometry import mapping [as 别名]
def test_make_geocube__no_measurements(input_geodata, tmpdir):
out_grid = make_geocube(
vector_data=input_geodata,
output_crs=TEST_GARS_PROJ,
geom=json.dumps(mapping(TEST_GARS_POLY)),
resolution=(-10, 10),
fill=-9999.0,
)
# test writing to netCDF
out_grid.to_netcdf(str(tmpdir.mkdir("make_geocube_soil").join("soil_grid_flat.nc")))
# test output data
with xarray.open_dataset(
os.path.join(TEST_COMPARE_DATA_DIR, "soil_grid_flat.nc"), mask_and_scale=False
) as xdc:
xarray.testing.assert_allclose(out_grid, xdc)
tmpdir.remove()
示例5: test_make_geocube__group_by_no_measurements
# 需要导入模块: from shapely import geometry [as 别名]
# 或者: from shapely.geometry import mapping [as 别名]
def test_make_geocube__group_by_no_measurements(input_geodata, tmpdir):
out_grid = make_geocube(
vector_data=input_geodata,
output_crs=TEST_GARS_PROJ,
geom=json.dumps(mapping(TEST_GARS_POLY)),
group_by="hzdept_r",
resolution=(-10, 10),
fill=-9999.0,
)
# test writing to netCDF
out_grid.to_netcdf(
str(tmpdir.mkdir("make_geocube_soil").join("soil_grid_group.nc"))
)
# test output data
with xarray.open_dataset(
os.path.join(TEST_COMPARE_DATA_DIR, "soil_grid_group.nc"), mask_and_scale=False
) as xdc:
xarray.testing.assert_allclose(out_grid, xdc)
tmpdir.remove()
示例6: make_layers
# 需要导入模块: from shapely import geometry [as 别名]
# 或者: from shapely.geometry import mapping [as 别名]
def make_layers(shapes, geom_dicts=False):
print("Creating layers with 10 shapes each")
layers = []
i = 0
features = []
for shape in shapes:
try:
geom = loads_wkt(shape.strip())
if geom_dicts:
feature = {"geometry": mapping(geom), "properties": {}}
else:
feature = {"geometry": geom, "properties": {}}
features.append(feature)
if i >= 10:
layers.append(features)
features = []
i = 0
i += 1
except:
pass
layers.append(features)
return layers
示例7: __getitem__
# 需要导入模块: from shapely import geometry [as 别名]
# 或者: from shapely.geometry import mapping [as 别名]
def __getitem__(self, geometry):
if isinstance(geometry, BaseGeometry) or getattr(geometry, "__geo_interface__", None) is not None:
if self._tms_meta._bounds is None:
return self.aoi(geojson=mapping(geometry), from_proj=self.proj)
image = GeoDaskImage.__getitem__(self, geometry)
image._tms_meta = self._tms_meta
return image
else:
result = super(TmsImage, self).__getitem__(geometry)
image = super(TmsImage, self.__class__).__new__(self.__class__, result)
if all([isinstance(e, slice) for e in geometry]) and len(geometry) == len(self.shape):
xmin, ymin, xmax, ymax = geometry[2].start, geometry[1].start, geometry[2].stop, geometry[1].stop
xmin = 0 if xmin is None else xmin
ymin = 0 if ymin is None else ymin
xmax = self.shape[2] if xmax is None else xmax
ymax = self.shape[1] if ymax is None else ymax
g = ops.transform(self.__geo_transform__.fwd, box(xmin, ymin, xmax, ymax))
image.__geo_interface__ = mapping(g)
image.__geo_transform__ = self.__geo_transform__ + (xmin, ymin)
else:
image.__geo_interface__ = self.__geo_interface__
image.__geo_transform__ = self.__geo_transform__
image._tms_meta = self._tms_meta
return image
示例8: __getattr__
# 需要导入模块: from shapely import geometry [as 别名]
# 或者: from shapely.geometry import mapping [as 别名]
def __getattr__(self, name) -> Dict[str, Any]:
if not name.startswith("osm_"):
raise AttributeError(
f"'{self.__class__.__name__}' has no attribute '{name}'"
)
else:
values = self.osm_request().ways.values()
return {
"type": "FeatureCollection",
"features": [
{
"type": "Feature",
"geometry": mapping(elt[1]),
"properties": elt[0]["tags"],
}
for elt in values
if elt[0]["tags"]["aeroway"] == name[4:]
],
}
示例9: latlon_to_shp
# 需要导入模块: from shapely import geometry [as 别名]
# 或者: from shapely.geometry import mapping [as 别名]
def latlon_to_shp(lon, lat, shapefile):
shapefile = str(shapefile)
schema = {'geometry': 'Point',
'properties': {'id': 'str'}}
wkt = loads('POINT ({} {})'.format(lon, lat))
with collection(shapefile, "w",
crs=from_epsg(4326),
driver="ESRI Shapefile",
schema=schema) as output:
output.write({'geometry': mapping(wkt),
'properties': {'id': '1'}})
示例10: buffer_shape
# 需要导入模块: from shapely import geometry [as 别名]
# 或者: from shapely.geometry import mapping [as 别名]
def buffer_shape(infile, outfile, buffer=None):
with collection(infile, "r") as in_shape:
# schema = in_shape.schema.copy()
schema = {'geometry': 'Polygon', 'properties': {'id': 'int'}}
crs = in_shape.crs
with collection(
outfile, "w", "ESRI Shapefile", schema, crs=crs) as output:
for i, point in enumerate(in_shape):
output.write({
'properties': {
'id': i
},
'geometry': mapping(
shape(point['geometry']).buffer(buffer))
})
示例11: projectShapes
# 需要导入模块: from shapely import geometry [as 别名]
# 或者: from shapely.geometry import mapping [as 别名]
def projectShapes(features, toCRS):
import pyproj
from functools import partial
import fiona.crs as fcrs
from shapely.geometry import shape, mapping
from shapely.ops import transform as shpTrans
project = partial(
pyproj.transform,
pyproj.Proj(fcrs.from_epsg(4326)),
pyproj.Proj(toCRS))
return list(
{'geometry': mapping(
shpTrans(
project,
shape(feat['geometry']))
)} for feat in features
)
示例12: get_final_value
# 需要导入模块: from shapely import geometry [as 别名]
# 或者: from shapely.geometry import mapping [as 别名]
def get_final_value(self, value, as_json=False):
json_value = format_geojson(mapping(value))
if value.is_empty:
return json_value
rounded_value = shape(json_value)
shapely_logger.setLevel('ERROR')
if rounded_value.is_valid:
return json_value if as_json else rounded_value
shapely_logger.setLevel('INFO')
rounded_value = rounded_value.buffer(0)
if not rounded_value.is_empty:
value = rounded_value
else:
logging.debug('Fixing rounded geometry failed, saving it to the database without rounding.')
return format_geojson(mapping(value), rounded=False) if as_json else value
示例13: _geom_of_fp
# 需要导入模块: from shapely import geometry [as 别名]
# 或者: from shapely.geometry import mapping [as 别名]
def _geom_of_fp(rng, fp, test_coords_insertion):
poly = fp.poly
i = rng.randint(2)
if not test_coords_insertion:
return poly
if i:
return poly
else:
coords = sg.mapping(poly)['coordinates']
if rng.randint(2):
coords = np.asarray(coords)
return coords
示例14: zonal_statistics
# 需要导入模块: from shapely import geometry [as 别名]
# 或者: from shapely.geometry import mapping [as 别名]
def zonal_statistics(self, regions, func, scale=1000, interval="day") -> 'DataCube':
"""
Calculates statistics for each zone specified in a file.
:param regions: GeoJSON or a path to a GeoJSON file containing the
regions. For paths you must specify the path to a
user-uploaded file without the user id in the path.
:param func: Statistical function to calculate for the specified
zones. example values: min, max, mean, median, mode
:param scale: A nominal scale in meters of the projection to work
in. Defaults to 1000.
:param interval: Interval to group the time series. Allowed values:
day, wee, month, year. Defaults to day.
:return: a DataCube instance
"""
regions_geojson = regions
if isinstance(regions, Polygon) or isinstance(regions, MultiPolygon):
regions_geojson = mapping(regions)
process_id = 'zonal_statistics'
args = {
'data': THIS,
'regions': regions_geojson,
'func': func,
'scale': scale,
'interval': interval
}
return self.process(process_id, args)
示例15: _polygonal_timeseries
# 需要导入模块: from shapely import geometry [as 别名]
# 或者: from shapely.geometry import mapping [as 别名]
def _polygonal_timeseries(self, polygon: Union[Polygon, MultiPolygon, str], func: str) -> 'DataCube':
if isinstance(polygon, str):
# polygon is a path to vector file
# TODO this is non-standard process: check capabilities? #104 #40
geometries = PGNode(process_id="read_vector", arguments={"filename": polygon})
else:
geometries = shapely.geometry.mapping(polygon)
geometries['crs'] = {
'type': 'name', # TODO: name?
'properties': {
'name': 'EPSG:4326'
}
}
return self.process_with_node(PGNode(
process_id="aggregate_spatial",
arguments={
"data": self._pg,
"geometries": geometries,
"reducer": {"process_graph": PGNode(
process_id=func,
arguments={"data": {"from_parameter": "data"}}
)},
# TODO #125 target dimension, context
}
))