Pandas read_csv from url

I'm trying to read a csv-file from given URL, using Python 3.x:

import pandas as pd
import requests

url = "https://github.com/cs109/2014_data/blob/master/countries.csv"
s = requests.get(url).content
c = pd.read_csv(s)

I have the following error

"Expected file path name or file-like object, got <class 'bytes'> type"

How can I fix this? I'm using Python 3.4

In the latest version of pandas (0.19.2) you can directly pass the url

import pandas as pd

url="https://raw.githubusercontent.com/cs109/2014_data/master/countries.csv"
c=pd.read_csv(url)

UPDATE: From pandas 0.19.2 you can now just pass read_csv() the url directly, although that will fail if it requires authentication.

For older pandas versions, or if you need authentication, or for any other HTTP-fault-tolerant reason:

Use pandas.read_csv with a file-like object as the first argument.

• If you want to read the csv from a string, you can use io.StringIO.

• For the URL https://github.com/cs109/2014_data/blob/master/countries.csv, you get html response, not raw csv; you should use the url given by the Raw link in the github page for getting raw csv response , which is https://raw.githubusercontent.com/cs109/2014_data/master/countries.csv

Example:

import pandas as pd
import io
import requests
url="https://raw.githubusercontent.com/cs109/2014_data/master/countries.csv"
s=requests.get(url).content
c=pd.read_csv(io.StringIO(s.decode('utf-8')))

Notes:

in Python 2.x, the string-buffer object was StringIO.StringIO

As I commented you need to use a StringIO object and decode i.e c=pd.read_csv(io.StringIO(s.decode("utf-8"))) if using requests, you need to decode as .content returns bytes if you used .text you would just need to pass s as is s = requests.get(url).text c = pd.read_csv(StringIO(s)).

A simpler approach is to pass the correct url of the raw data directly to read_csv, you don't have to pass a file like object, you can pass a url so you don't need requests at all:

c = pd.read_csv("https://raw.githubusercontent.com/cs109/2014_data/master/countries.csv")

print(c)

Output:

                              Country         Region
0                             Algeria         AFRICA
1                              Angola         AFRICA
2                               Benin         AFRICA
3                            Botswana         AFRICA
4                             Burkina         AFRICA
5                             Burundi         AFRICA
6                            Cameroon         AFRICA
..................................

From the docs:

filepath_or_buffer :

string or file handle / StringIO The string could be a URL. Valid URL schemes include http, ftp, s3, and file. For file URLs, a host is expected. For instance, a local file could be file ://localhost/path/to/table.csv