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Reading google sheet using python
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import pandas as pd | |
from googleapiclient.discovery import build | |
from google_auth_oauthlib.flow import InstalledAppFlow,Flow | |
from google.auth.transport.requests import Request | |
import os | |
import pickle | |
SCOPES = ['https://www.googleapis.com/auth/spreadsheets'] | |
# here enter the id of your google sheet | |
SAMPLE_SPREADSHEET_ID_input = '1cvZswLiDo3LfhnA7RcS8vFqacx73RGor-OZ_FtvyLE8' | |
SAMPLE_RANGE_NAME = 'A1:AA1000' | |
def main(): | |
global values_input, service | |
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( | |
'my_json_file.json', SCOPES) # here enter the name of your downloaded JSON file | |
creds = flow.run_local_server(port=0) | |
with open('token.pickle', 'wb') as token: | |
pickle.dump(creds, token) | |
service = build('sheets', 'v4', credentials=creds) | |
# Call the Sheets API | |
sheet = service.spreadsheets() | |
result_input = sheet.values().get(spreadsheetId=SAMPLE_SPREADSHEET_ID_input, | |
range=SAMPLE_RANGE_NAME).execute() | |
values_input = result_input.get('values', []) | |
if not values_input and not values_expansion: | |
print('No data found.') | |
main() | |
df=pd.DataFrame(values_input[1:], columns=values_input[0]) |
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what does a:aa100 mean?