Pandas: How to read CSV file from google drive public?

I searched similar questions about reading csv from URL but I could not find a way to read csv file from google drive csv file.

My attempt:

import pandas as pd

url = 'https://drive.google.com/file/d/0B6GhBwm5vaB2ekdlZW5WZnppb28/view?usp=sharing'
dfs = pd.read_html(url)

How can we read this file in pandas?

Related links:

• Pandas read_csv from url
• https://pandas.pydata.org/pandas-docs/version/0.22/io.html#io-read-html

Answer

Using pandas

import pandas as pd

url='https://drive.google.com/file/d/0B6GhBwm5vaB2ekdlZW5WZnppb28/view?usp=sharing'
file_id=url.split('/')[-2]
dwn_url='https://drive.google.com/uc?id=' + file_id
df = pd.read_csv(dwn_url)
print(df.head())

Using pandas and requests

import pandas as pd
import requests
from io import StringIO

url='https://drive.google.com/file/d/0B6GhBwm5vaB2ekdlZW5WZnppb28/view?usp=sharing'

file_id = url.split('/')[-2]
dwn_url='https://drive.google.com/uc?export=download&id=' + file_id
url2 = requests.get(dwn_url).text
csv_raw = StringIO(url2)
df = pd.read_csv(csv_raw)
print(df.head())

output

      sex   age state  cheq_balance  savings_balance  credit_score  special_offer
0  Female  10.0    FL       7342.26          5482.87           774           True
1  Female  14.0    CA        870.39         11823.74           770           True
2    Male   0.0    TX       3282.34          8564.79           605           True
3  Female  37.0    TX       4645.99         12826.76           608           True
4    Male   NaN    FL           NaN          3493.08           551          False