We Keep Coding

CSV to Google Sheets python

I have a CSV that I want to put into a google sheet into sheet3 of many. I was hoping someone can help me complete this code. I am using Google API. So far I have gotten the csv to upload to the google drive. Now I would like to change the code to update a specific google sheet in sheet3 instead of creating a new sheet. Bellow you will find the code that I am using to create a new sheet with the CSV data.
# Import Csv to Google Drive
import os
import glob
from pydrive.auth import GoogleAuth
from pydrive.drive import GoogleDrive
gauth = GoogleAuth()
drive = GoogleDrive(gauth)
# line used to change the directory
os.chdir(r'DIRECTORY OF CSV')
list_of_files = glob.glob('DIRECTORY OF CSV\*') # * means all if need specific format then *.csv
latest_file = max(list_of_files, key=os.path.getctime)
print(latest_file)
upload_file_list = [latest_file]
for upload_file in upload_file_list:
gfile = drive.CreateFile({'parents': [{'id': 'THE GOOGLE ID'}]})
# Read file and set it as the content of this instance.
gfile.SetContentFile(upload_file)
gfile.Upload() # Upload the file.

I believe your goal is as follows.
You want to put CSV data to the specific sheet of a Google Spreadsheet.
You want to achieve this using python.
You have already been able to get and put values to the Spreadsheet using Sheets API.
In this case, how about the following sample script?
Sample script 1:
When googleapis for python is used, how about the following sample script?
service = build("sheets", "v4", credentials=creds) # Please use your script for authorization.
spreadsheet_id = "###" # Please put your Spreadsheet ID.
sheet_name = "Sheet3" # Please put the sheet ID of the sheet you want to use.
csv_file = "###" # Please put the file path of the CSV file you want to use.
f = open(csv_file, "r")
values = [r for r in csv.reader(f)]
request = service.spreadsheets().values().update(spreadsheetId=spreadsheet_id, range=sheet_name, valueInputOption="USER_ENTERED", body={"values": values}).execute()
Sample script 2:
When gspread for python is used, how about the following sample script?
import gspread
import csv
client = gspread.oauth(###) # Please use your script for authorization.
spreadsheet_id = "###" # Please put your Spreadsheet ID.
sheet_name = "Sheet3" # Please put the sheet ID of the sheet you want to use.
csv_file = "###" # Please put the file path of the CSV file you want to use.
spreadsheet = client.open_by_key(spreadsheet_id)
worksheet = spreadsheet.worksheet(sheet_name)
f = open(csv_file, "r")
values = [r for r in csv.reader(f)]
worksheet.update(values)
Note:
About both sample scripts, the CSV data is retrieved from a CSV file on your local PC, and the CSV data is converted to a 2-dimensional array and put the array to "Sheet3" of Google Spreadsheet using Sheets API. In this sample script, Drive API is not used.
Reference:
Method: spreadsheets.values.update

Append CSV file to Google Sheet

I am trying to append this CSV file after the last row with data in this Google Sheet. But I can only overwrite the existing data.
import gspread
from oauth2client.service_account import ServiceAccountCredentials
scope = ["https://spreadsheets.google.com/feeds", 'https://www.googleapis.com/auth/spreadsheets',
"https://www.googleapis.com/auth/drive.file", "https://www.googleapis.com/auth/drive"]
credentials = ServiceAccountCredentials.from_json_keyfile_name(
'key.json', scope)
client = gspread.authorize(credentials)
spreadsheet = client.open('upload_data')
with open('gmt2.csv', 'r') as file_obj:
content = file_obj.read()
client.import_csv(spreadsheet.id, data=content)

When import_csv is used, it seems that the Spreadsheet is overwritten by the CSV data. I thought that this might be the reason of your issue. In your situation, how about using append_rows method? When your script is modified, it becomes as follows.
Modified script:
client = gspread.authorize(credentials)
# I modified below script.
sheetName = "Sheet1" # Please set the sheet name you want to append the CSV data.
spreadsheet = client.open('upload_data')
worksheet = spreadsheet.worksheet(sheetName)
content = list(csv.reader(open('gmt2.csv')))
worksheet.append_rows(content, value_input_option="USER_ENTERED")
In this case, import csv is used.
References:
append_rows
Method: spreadsheets.values.append

Read excel file from google drive without downloading file

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')
'''

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:
Download a Google Workspace Document
pandas.read_excel
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)

Extract inserted image from Google Sheets using Python

I need to extract an image from a Google Sheets spreadsheet. It is not connected to a cell, and does not have an URL--it's just an inserted image:
How can I extract it using Python?
Thank you very much for an answer.
here is a part of a code:
import gspread
from oauth2client.service_account import ServiceAccountCredentials
import urllib
import numpy as numpy
scopes = ['spreadsheets.google.com/feeds']
creds = ServiceAccountCredentials.from_json_keyfile_name('client_secret.json',scopes)
client = gspread.authorize(creds)
spreadsheet = client.open_by_url("docs.google.com/spreadsheets/d/…)
worksheet = spreadsheet.worksheet("Ark1")
list_of_lists = worksheet.range('A1:Q31')
print('{}\n'.format(list_of_lists))

Writing data into google sheet works in .ipynb but not in .py

My script writes some data into a google spreadsheet. It works absolutely fine in iPython notebook but it doesn't from a .py file in Sublime (no errors, just nothing). Both files are located in the same folder together with the authorization file - 'client_secret.json'. Could anyone suggest why? Thank you!
My code:
import datetime as dt
import gspread
from oauth2client.service_account import ServiceAccountCredentials
def googlesheet():
# use creds to create a client to interact with the Google Drive API
scope = ['https://spreadsheets.google.com/feeds']
creds = ServiceAccountCredentials.from_json_keyfile_name('client_secret.json', scope)
client = gspread.authorize(creds)
# Find a workbook by name and open the first sheet
wsheet = client.open("google_cout").worksheet('Count')
return wsheet
def next_available_row(sheet):
str_list = filter(None, sheet.col_values(1)) # fastest
return str(len(str_list)+1)
#insert on the next available row
def write_to_google(next_row, count):
today = dt.datetime.today().strftime("%d %B")
wsheet.update_acell("A{}".format(next_row), today)
for i in count:
if i == u'red':
wsheet.update_acell("B{}".format(next_row), count[i])
if i == u'blue':
wsheet.update_acell("C{}".format(next_row), count[i])
print('Done!')
def main():
total_count = {u'red': 222, u'blue': 91}
wsheet = googlesheet()
next_row = next_available_row(wsheet)
write_to_google(next_row, total_count)
if __name__ == '__main__':
main()