Python 使用Namingm和geodataframe对英文地址的全局点进行反向地理编码
我是编程、stackoverflow、python和地理空间的新手!我正在玩一个13行2列的小型csv数据集——纬度和经度。我正在尝试反转地理编码并获得英文地址Python 使用Namingm和geodataframe对英文地址的全局点进行反向地理编码,python,geopandas,reverse-geocoding,nominatim,Python,Geopandas,Reverse Geocoding,Nominatim,我是编程、stackoverflow、python和地理空间的新手!我正在玩一个13行2列的小型csv数据集——纬度和经度。我正在尝试反转地理编码并获得英文地址 import shapely import geopandas as gpd import os import geopy from geopy.geocoders import Nominatim from geopy.extra.rate_limiter import RateLimiter # for the progress
import shapely
import geopandas as gpd
import os
import geopy
from geopy.geocoders import Nominatim
from geopy.extra.rate_limiter import RateLimiter
# for the progress bar
from tqdm import tqdm, tqdm_notebook
# instantiate
tqdm.pandas(tqdm_notebook)
# get the csv data and convert to geodataframe
csv = os.path.join (data_folder,filename)
data = pd.read_csv(csv)
data['coordinates'] = '{},{}'.format(data['Latitude'], data['Longitude'])
data_gdf = gpd.GeoDataFrame(data, geometry = gpd.points_from_xy(data['Longitude'],data['Latitude']))
data_gdf.crs = 'EPSG:4326'
# reverse geocode
geo_service = Nominatim (user_agent = "Reverse Geocoding", timeout=10)
reverse_geocode = RateLimiter (geo_service.reverse, min_delay_seconds=0.001)
#location = reverse_geocode ((data['coordinates'].progress_map(reverse_geocode)), addressdetails = True)
location = reverse_geocode ((data_gdf['geometry'].progress_map(reverse_geocode)), addressdetails = True)
location.raw
我的数据集-
Longitude Latitude
54.34 24.47
55.6 24.78
16.36 48.2
151.21 -33.87
4.36 50.85
50.57 26.21
-43.24 -22.92
-49.05 -22.34
-114.07 50.91
8.54 47.41
-70.52 -33.39
116.17 39.92
116.51 39.79
import shapely
import geopandas as gpd
import os
import geopy
from geopy.geocoders import Nominatim
from geopy.extra.rate_limiter import RateLimiter
# for the progress bar
from tqdm import tqdm, tqdm_notebook
# instantiate
tqdm.pandas(tqdm_notebook)
# get the csv data and convert to geodataframe
csv = os.path.join (data_folder,filename)
data = pd.read_csv(csv)
data['coordinates'] = '{},{}'.format(data['Latitude'], data['Longitude'])
data_gdf = gpd.GeoDataFrame(data, geometry = gpd.points_from_xy(data['Longitude'],data['Latitude']))
data_gdf.crs = 'EPSG:4326'
# reverse geocode
geo_service = Nominatim (user_agent = "Reverse Geocoding", timeout=10)
reverse_geocode = RateLimiter (geo_service.reverse, min_delay_seconds=0.001)
#location = reverse_geocode ((data['coordinates'].progress_map(reverse_geocode)), addressdetails = True)
location = reverse_geocode ((data_gdf['geometry'].progress_map(reverse_geocode)), addressdetails = True)
location.raw
我尝试了两种方法来反转地理编码。我每次都会出错
import shapely
import geopandas as gpd
import os
import geopy
from geopy.geocoders import Nominatim
from geopy.extra.rate_limiter import RateLimiter
# for the progress bar
from tqdm import tqdm, tqdm_notebook
# instantiate
tqdm.pandas(tqdm_notebook)
# get the csv data and convert to geodataframe
csv = os.path.join (data_folder,filename)
data = pd.read_csv(csv)
data['coordinates'] = '{},{}'.format(data['Latitude'], data['Longitude'])
data_gdf = gpd.GeoDataFrame(data, geometry = gpd.points_from_xy(data['Longitude'],data['Latitude']))
data_gdf.crs = 'EPSG:4326'
# reverse geocode
geo_service = Nominatim (user_agent = "Reverse Geocoding", timeout=10)
reverse_geocode = RateLimiter (geo_service.reverse, min_delay_seconds=0.001)
#location = reverse_geocode ((data['coordinates'].progress_map(reverse_geocode)), addressdetails = True)
location = reverse_geocode ((data_gdf['geometry'].progress_map(reverse_geocode)), addressdetails = True)
location.raw
1) 首先,我创建了一个“坐标”列并使用该列
data['coordinates'] = '{},{}'.format(data['Latitude'], data['Longitude'])
location = reverse_geocode ((data['coordinates'].progress_map(reverse_geocode)), addressdetails = True)
import shapely
import geopandas as gpd
import os
import geopy
from geopy.geocoders import Nominatim
from geopy.extra.rate_limiter import RateLimiter
# for the progress bar
from tqdm import tqdm, tqdm_notebook
# instantiate
tqdm.pandas(tqdm_notebook)
# get the csv data and convert to geodataframe
csv = os.path.join (data_folder,filename)
data = pd.read_csv(csv)
data['coordinates'] = '{},{}'.format(data['Latitude'], data['Longitude'])
data_gdf = gpd.GeoDataFrame(data, geometry = gpd.points_from_xy(data['Longitude'],data['Latitude']))
data_gdf.crs = 'EPSG:4326'
# reverse geocode
geo_service = Nominatim (user_agent = "Reverse Geocoding", timeout=10)
reverse_geocode = RateLimiter (geo_service.reverse, min_delay_seconds=0.001)
#location = reverse_geocode ((data['coordinates'].progress_map(reverse_geocode)), addressdetails = True)
location = reverse_geocode ((data_gdf['geometry'].progress_map(reverse_geocode)), addressdetails = True)
location.raw
I get-ValueError:必须是坐标对或点
import shapely
import geopandas as gpd
import os
import geopy
from geopy.geocoders import Nominatim
from geopy.extra.rate_limiter import RateLimiter
# for the progress bar
from tqdm import tqdm, tqdm_notebook
# instantiate
tqdm.pandas(tqdm_notebook)
# get the csv data and convert to geodataframe
csv = os.path.join (data_folder,filename)
data = pd.read_csv(csv)
data['coordinates'] = '{},{}'.format(data['Latitude'], data['Longitude'])
data_gdf = gpd.GeoDataFrame(data, geometry = gpd.points_from_xy(data['Longitude'],data['Latitude']))
data_gdf.crs = 'EPSG:4326'
# reverse geocode
geo_service = Nominatim (user_agent = "Reverse Geocoding", timeout=10)
reverse_geocode = RateLimiter (geo_service.reverse, min_delay_seconds=0.001)
#location = reverse_geocode ((data['coordinates'].progress_map(reverse_geocode)), addressdetails = True)
location = reverse_geocode ((data_gdf['geometry'].progress_map(reverse_geocode)), addressdetails = True)
location.raw
2) 由于上述错误,我创建了一个geodataframe并使用了geometry列。将创建几何体列(data_gdf.head())
import shapely
import geopandas as gpd
import os
import geopy
from geopy.geocoders import Nominatim
from geopy.extra.rate_limiter import RateLimiter
# for the progress bar
from tqdm import tqdm, tqdm_notebook
# instantiate
tqdm.pandas(tqdm_notebook)
# get the csv data and convert to geodataframe
csv = os.path.join (data_folder,filename)
data = pd.read_csv(csv)
data['coordinates'] = '{},{}'.format(data['Latitude'], data['Longitude'])
data_gdf = gpd.GeoDataFrame(data, geometry = gpd.points_from_xy(data['Longitude'],data['Latitude']))
data_gdf.crs = 'EPSG:4326'
# reverse geocode
geo_service = Nominatim (user_agent = "Reverse Geocoding", timeout=10)
reverse_geocode = RateLimiter (geo_service.reverse, min_delay_seconds=0.001)
#location = reverse_geocode ((data['coordinates'].progress_map(reverse_geocode)), addressdetails = True)
location = reverse_geocode ((data_gdf['geometry'].progress_map(reverse_geocode)), addressdetails = True)
location.raw
然而,我得到一个错误-
getTypeError:无法创建点实例
import shapely
import geopandas as gpd
import os
import geopy
from geopy.geocoders import Nominatim
from geopy.extra.rate_limiter import RateLimiter
# for the progress bar
from tqdm import tqdm, tqdm_notebook
# instantiate
tqdm.pandas(tqdm_notebook)
# get the csv data and convert to geodataframe
csv = os.path.join (data_folder,filename)
data = pd.read_csv(csv)
data['coordinates'] = '{},{}'.format(data['Latitude'], data['Longitude'])
data_gdf = gpd.GeoDataFrame(data, geometry = gpd.points_from_xy(data['Longitude'],data['Latitude']))
data_gdf.crs = 'EPSG:4326'
# reverse geocode
geo_service = Nominatim (user_agent = "Reverse Geocoding", timeout=10)
reverse_geocode = RateLimiter (geo_service.reverse, min_delay_seconds=0.001)
#location = reverse_geocode ((data['coordinates'].progress_map(reverse_geocode)), addressdetails = True)
location = reverse_geocode ((data_gdf['geometry'].progress_map(reverse_geocode)), addressdetails = True)
location.raw
总而言之——
import shapely
import geopandas as gpd
import os
import geopy
from geopy.geocoders import Nominatim
from geopy.extra.rate_limiter import RateLimiter
# for the progress bar
from tqdm import tqdm, tqdm_notebook
# instantiate
tqdm.pandas(tqdm_notebook)
# get the csv data and convert to geodataframe
csv = os.path.join (data_folder,filename)
data = pd.read_csv(csv)
data['coordinates'] = '{},{}'.format(data['Latitude'], data['Longitude'])
data_gdf = gpd.GeoDataFrame(data, geometry = gpd.points_from_xy(data['Longitude'],data['Latitude']))
data_gdf.crs = 'EPSG:4326'
# reverse geocode
geo_service = Nominatim (user_agent = "Reverse Geocoding", timeout=10)
reverse_geocode = RateLimiter (geo_service.reverse, min_delay_seconds=0.001)
#location = reverse_geocode ((data['coordinates'].progress_map(reverse_geocode)), addressdetails = True)
location = reverse_geocode ((data_gdf['geometry'].progress_map(reverse_geocode)), addressdetails = True)
location.raw
封锁期间我的目标是学习/理解地理空间场景。我从免费的在线资源中学习。我没有老师/导师来帮助我纠正错误。任何指点都将不胜感激。谢谢
import shapely
import geopandas as gpd
import os
import geopy
from geopy.geocoders import Nominatim
from geopy.extra.rate_limiter import RateLimiter
# for the progress bar
from tqdm import tqdm, tqdm_notebook
# instantiate
tqdm.pandas(tqdm_notebook)
# get the csv data and convert to geodataframe
csv = os.path.join (data_folder,filename)
data = pd.read_csv(csv)
data['coordinates'] = '{},{}'.format(data['Latitude'], data['Longitude'])
data_gdf = gpd.GeoDataFrame(data, geometry = gpd.points_from_xy(data['Longitude'],data['Latitude']))
data_gdf.crs = 'EPSG:4326'
# reverse geocode
geo_service = Nominatim (user_agent = "Reverse Geocoding", timeout=10)
reverse_geocode = RateLimiter (geo_service.reverse, min_delay_seconds=0.001)
#location = reverse_geocode ((data['coordinates'].progress_map(reverse_geocode)), addressdetails = True)
location = reverse_geocode ((data_gdf['geometry'].progress_map(reverse_geocode)), addressdetails = True)
location.raw