从 URL 中读取压缩的 Stata 文件到 Pandas

Question

Is it possible to read a .zip file that includes only a .dta file from URL?

For example, https://www.federalreserve.gov/econres/files/scfp2016s.zip contains one file: rscfp2016.dta , but pandas.read_stata doesn't work for it:

import pandas as pd
pd.read_stata('https://www.federalreserve.gov/econres/files/scfp2016s.zip')

ValueError: Version of given Stata file is not 104, 105, 108, 111 (Stata 7SE), 113 (Stata 8/9), 114 (Stata 10/11), 115 (Stata 12), 117 (Stata 13), or 118 (Stata 14)

read_csv supports reading zipped files if the zip only includes the csv, via the compression argument which defaults to inferring the compression. read_stata lacks this option.

I could do it by downloading and unzipping the file, then reading it, but this is messy.

!wget https://www.federalreserve.gov/econres/files/scfp2016s.zip
!unzip scfp2016s.zip
df = pd.read_stata('rscfp2016.dta')

Any better way?

Answer 1

read_stata accepts file-like objects, so you can do this:

import pandas as pd
from io import BytesIO
from zipfile import ZipFile
from urllib.request import urlopen

url = 'https://www.federalreserve.gov/econres/files/scfp2016s.zip'
with urlopen(url) as request:
    data = BytesIO(request.read())

with ZipFile(data) as archive:
    with archive.open(archive.namelist()[0]) as stata:
        df = pd.read_stata(stata)

Answer 2

You can try it with requests:

import io
import zipfile
import requests

response = requests.get('https://www.federalreserve.gov/econres/files/scfp2016s.zip')                                                                                                                                             
a = zipfile.ZipFile(io.BytesIO(response.content))
b = a.read(a.namelist()[0]) 
pd.read_stata(io.BytesIO(b))