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:

import requests
import pandas as pd
url = r'http://test.url' 
r = requests.get(url)
r.text  #this will return the data as text in csv format

I tried (doesn't work):

pd.read_csv(r.text)
pd.DataFrame.from_csv(r.text)

Solution 1

Try this

import requests
import pandas as pd
import io

urlData = requests.get(url).content
rawData = pd.read_csv(io.StringIO(urlData.decode('utf-8')))

Solution 2

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))

---

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))

Solution 3

Using "read_csv with url" worked:

import requests, csv
import pandas as pd
url = 'https://arte.folha.uol.com.br/ciencia/2020/coronavirus/csv/mundo/dados-bra.csv'
corona_bra = pd.read_csv(url)
print(corona_bra.head())

Solution 4

if the url has no authentication then you can directly use read_csv(url)

if you have authentication you can use request to get it un-pickel and print the csv and make sure the result is CSV and use panda.

You can directly use importing import csv

View more solutions

Comments

[shivsn]

difficult to answer without seeing data.

[Shijo]

May be you need save the response data to a file and check the file content. Then read the file to csv, check if this approach works. If not then there is something wrong in the data

[Padraic Cunningham]

stackoverflow.com/questions/32400867/pandas-read-csv-from-ur‌​l/…, no need for requests unless you are posting some data that allows you to access the content

[Merlin]

@PadraicCunningham, I think you are wrong about requests, Its urllib2 or request. shhh, urllib2 has security flaws. which allow file access. So, requests is safer.

[sparrow]

@Padraic, I omitted this part in my question but I needed to include a special header format in my request which is why I used requests instead of importing the url directly. headers = {'user1': 'AppInterface'}

[Ravi]

can we convert dataframe output to URL. display dataframe table output in the form of url : any one can access it and see the dataframe data by opening that url ?

[gudé]

I guess this will depend on the request URL, I need to pass parameters to get(), for example, requests.get(url,params=dict())

[Keivan Ipchi Hagh]

@gudé You can simply convert the parameters to a string using '&'.join([f'{key}={value}' for key, value in params.items()]) and append to the rest of the URL.