Convert text data from requests object to dataframe with pandas

Question

Using requests I am creating an object which is in .csv format. How can I then write that object to a DataFrame with pandas?

To get the requests object in text format:

Answer 1

I think you can use read_csv with url:

pd.read_csv(url)

filepath_or_buffer : str, pathlib.Path, py._path.local.LocalPath or any object with a read() method (such as a file handle or 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

import pandas as pd
import io
import requests

url = r'http://...' 
r = requests.get(url)  
df = pd.read_csv(io.StringIO(r))

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If it doesnt work, try update last line:

import pandas as pd
import io
import requests

url = r'http://...' 
r = requests.get(url)  
df = pd.read_csv(io.StringIO(r.text))