Read excel file from google drive without downloading file

Question

I wants to read excel sheets from excel file on google drive without downloading on local machine! i searched for google drive api but couldn’t find solution i tried following code please need suggestion:

'''
from pydrive.auth import GoogleAuth
from pydrive.drive import GoogleDrive
import pandas as pd

gauth = GoogleAuth()
gauth.LocalWebserverAuth()
drive = GoogleDrive(gauth)

file_id = 'abc'
file_name = 'abc.xlsx'  

downloaded = drive.CreateFile({'id': file_id})
downloaded.GetContentFile(file_name)


class TestCase:
  def __init__(self, file_name, sheet):
    self.file_name = file_name
    self.sheet = sheet
    testcase = pd.read_excel(file_name, usecols=None, sheet_name=sheet)
    print(testcase)


class TestCaseSteps:
   def __init__(self, file_name, sheet):
    self.file_name = file_name
    self.sheet = sheet
    testcase = pd.read_excel(file_name, usecols=None, sheet_name=sheet)
    print(testcase)

testcases = TestCase(file_name, ‘A’)
steps = TestCaseSteps(file_name, ‘B’)
”’

Asked By: annonyos

||

Source

Answer 1

I believe your goal and situation as follows.

You want to read the XLSX downloaded from Google Drive using pd.read_excel.
You want to achieve this without saving the downloaded XLSX data as a file.
Your gauth = GoogleAuth() can be used for downloading the Google Spreadsheet as the XLSX format.

In this case, I would like to propose the following flow.

Download the Google Spreadsheet as XLSX format.
- In this case, it directly requests to the endpoint for exporting Spreadsheet as XLSX format using requests library.
- The access token is retrieved from gauth = GoogleAuth().
The downloaded XLSX data is read with pd.read_excel.
- In this case, BytesIO is used for reading the data.

By this flow, when the Spreadsheet is downloaded as the XLSX data, the XLSX data can be read without saving it as a file. When above flow is reflected to the script, it becomes as follows.

Sample script:

Before you run the script, please set the Spreadsheet ID.

from pydrive.auth import GoogleAuth
from pydrive.drive import GoogleDrive
import pandas as pd
import requests
from io import BytesIO

spreadsheetId = "###"  # <--- Please set the Spreadsheet ID.

# 1. Download the Google Spreadsheet as XLSX format.
gauth = GoogleAuth()
gauth.LocalWebserverAuth()
url = "https://www.googleapis.com/drive/v3/files/" + spreadsheetId + "/export?mimeType=application%2Fvnd.openxmlformats-officedocument.spreadsheetml.sheet"
res = requests.get(url, headers={"Authorization": "Bearer " + gauth.attr['credentials'].access_token})

# 2. The downloaded XLSX data is read with `pd.read_excel`.
sheet = "Sheet1"
values = pd.read_excel(BytesIO(res.content), usecols=None, sheet_name=sheet)
print(values)

References:

Added:

At the following sample script, it supposes that the XLSX file is put to the Google Drive, and the XLSX file is downloaded.

from pydrive.auth import GoogleAuth
from pydrive.drive import GoogleDrive
import pandas as pd
import requests
from io import BytesIO

file_id = "###"  # <--- Please set the file ID of XLSX file.

# 1. Download the XLSX data.
gauth = GoogleAuth()
gauth.LocalWebserverAuth()
url = "https://www.googleapis.com/drive/v3/files/" + file_id + "?alt=media"
res = requests.get(url, headers={"Authorization": "Bearer " + gauth.attr['credentials'].access_token})

# 2. The downloaded XLSX data is read with `pd.read_excel`.
sheet = "Sheet1"
values = pd.read_excel(BytesIO(res.content), usecols=None, sheet_name=sheet)
print(values)

Answered By: Tanaike

Answer 2

Get the link to the Excel file.
Replace the "/edit?usp=share_link" for "/export?format=xlsx"


import pandas as pd

url = "https://docs.google.com/spreadsheets/d/1py9cdXWCorKrRz7fUp0doPaOTJ2tiexB/edit?usp=share_link&ouid=107751642562197088720&rtpof=true&sd=true"
url_for_pandas = url.replace("/edit?usp=share_link", "/export?format=xlsx")
df = pd.read_excel(url_for_pandas)
print(df)

Answered By: Erick Hernández

Read excel file from google drive without downloading file

Question:

Answers:

Sample script:

References:

Added: