我正在尝试进行人口普查地理编码API documentation
以下卷曲命令有效:
curl --form [email protected] --form benchmark=9 http://geocoding.geo.census.gov/geocoder/locations/addressbatch --output geocoderesult.csv
但是当我尝试将其移植到python请求时:
url = 'http://geocoding.geo.census.gov/geocoder/geographies/addressbatch'
payload = {'benchmark':9}
files = {'addressFile': ('Addresses.csv', open('Addresses.csv', 'rb'), 'text/csv')}
r = requests.post(url, files=files, data = payload)
print r.text
我显然不是在发送格式正确的请求,而只是在响应中接收到“存在内部错误”。知道我在提出此请求时做错了什么吗?
知道了!事实证明,地理位置请求类型需要一些位置类型不需要的参数。工作解决方案:
url = 'http://geocoding.geo.census.gov/geocoder/geographies/addressbatch'
payload = {'benchmark':'Public_AR_Current','vintage':'ACS2013_Current'}
files = {'addressFile': ('Addresses.csv', open('Addresses.csv', 'rb'), 'text/csv')}
r = requests.post(url, files=files, data = payload)
print r.text
效果很好。今天,我只使用了下面显示的代码。
url = 'https://geocoding.geo.census.gov/geocoder/locations/addressbatch'
payload = {'benchmark':'Public_AR_Current','vintage':'ACS2013_Current'}
files = {'addressFile': ('19067.csv', open('19067.csv', 'rb'), 'text/csv')}
r = requests.post(url, files=files, data = payload)
也许这是做相同事情的更简单方法。
# pip install censusgeocode
import censusgeocode
import pandas as pd
cg = censusgeocode.CensusGeocode(benchmark='Public_AR_Census2010',vintage='Census2010_Census2010')
k = cg.addressbatch('D:\WORK\Addresses.csv')
# Bonus
# Get clean output in Dataframe
df = pd.DataFrame(k, columns=k[0].keys())
# PS: I tried with 9990 records in single batch
参考:
https://pypi.org/project/censusgeocode/
https://geocoding.geo.census.gov/geocoder/benchmarks
https://geocoding.geo.census.gov/geocoder/vintages?form
https://geocoding.geo.census.gov/geocoder/geographies/addressbatch?form