'Read ZipFile from URL into StringIO and parse with panda.read_csv

I'm trying to read ZipFile data from a URL and via StringIO parse the data inside the ZipFile as csv using pandas.read_csv

r = req.get("http://seanlahman.com/files/database/lahman-csv_2014-02-14.zip").content
file = ZipFile(StringIO(r))
salaries_csv = file.open("Salaries.csv")
salaries = pd.read_csv(salaries_csv)

The last line gave me an error:

CParserError: Error tokenizing data. C error: Calling read(nbytes) on source failed. Try engine='python'.

However if i try using

salaries = pd.read_csv(file.open("Salaries.csv"))

it works.

So I was wondering what am I missing out here.

file.open should return a ZipExtFile object and since read_csv takes only string or file handle / StringIO input, why is the last line working then?



Solution 1:[1]

Few changes for Python 3.5 to @firelynx's answer

from zipfile import ZipFile
from io import BytesIO
import urllib.request as urllib2

r = urllib2.urlopen("http://seanlahman.com/files/database/lahman-csv_2014-02-14.zip").read()
file = ZipFile(BytesIO(r))
salaries_csv = file.open("Salaries.csv")
salaries = pd.read_csv(salaries_csv)
print (salaries)

Sources

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Source: Stack Overflow

Solution Source
Solution 1 BBSysDyn