readspreadsheet.py

from __future__ import print_function
import pickle
import os.path
from googleapiclient.discovery import build
from google_auth_oauthlib.flow import InstalledAppFlow
from google.auth.transport.requests import Request
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
import pandas as pd

SCOPES = ['https://www.googleapis.com/auth/spreadsheets.readonly']
SAMPLE_SPREADSHEET_ID = 'HERE YOUR SPREADSHEET ID'
creds = None
if os.path.exists('token.pickle'):
    with open('token.pickle', 'rb') as token:
        creds = pickle.load(token)
if not creds or not creds.valid:
    if creds and creds.expired and creds.refresh_token:
        creds.refresh(Request())
    else:
        flow = InstalledAppFlow.from_client_secrets_file(
            'HERE_YOUR_CREDENTIAL_FILE.json', SCOPES)
        creds = flow.run_local_server(port=0)
    with open('token.pickle', 'wb') as token:
        pickle.dump(creds, token)

service = build('sheets', 'v4', credentials=creds)

sheet = service.spreadsheets()

#SAMPLE RANGE: Cities Base!A:J
worksheet = sheet.values().get(spreadsheetId=SAMPLE_SPREADSHEET_ID,range='HERE_A_RANGE').execute()
table = worksheet.get('values', [])

##Convert table data into a dataframe
df = pd.DataFrame(table[1:], columns=table[0])

##Convert number strings to floats and ints
df = df.apply(pd.to_numeric, errors='ignore')

#Show first rows
df.head()