如何将 gspread api 中的数据格式化为 Google 表格

Question

I am new to python (and programming in general). I am currently working on automating a data entry aspect of my job. So far I have figured out how to sort out the data I want from a csv with pandas, and load it into the appropriate area of a google spreadsheet with the gspread api. My problem is that the csv data dumps into a single cell of the speadsheet. How can I make have it enter across the row of cells? I have tried every parameter of the.appendrow() function.

Thanks so much - Owen K

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"]

creds = ServiceAccountCredentials.from_json_keyfile_name("/Users/macbook/Documents/Atom Projects/Sheets1/creds.json", scope)

client = gspread.authorize(creds)

import pandas as pd

df = pd.read_csv('/Users/macbook/Documents/Atom Projects/Sheets1/report.csv')#, index_col = '(Child) ASIN')

Luna = (df['(Child) ASIN'] == 'B0716JTGSX')
LU = df[Luna].to_csv()

print(LU)
bick4 = client.open("Test Sheet") .worksheet('bick 4')
bick4.append_row([LU])

Answer 1

I believe your goal as follows.

• You want to put the values of LU = df[Luna].to_csv() to each cell in the Google Spreadsheet.
• You want to achieve this using gspread with python.
• You have already been able to get and put values using Sheets API.

For this, how about this answer?

Modification points:

• In this case, a list is created from df[Luna] and the list is put to the Spreadsheet using gspread.

I propose the following 2 patterns.

Pattern 1:

In this pattern, the value of df[Luna] is put to the Spreadsheet using the method of values_update .

Sample script:

client = gspread.authorize(creds)
spreadsheet = client.open('Test Sheet')
sheet_name = 'bick 4'

import pandas as pd
df = pd.read_csv('/Users/macbook/Documents/Atom Projects/Sheets1/report.csv')#, index_col = '(Child) ASIN')
Luna = (df['(Child) ASIN'] == 'B0716JTGSX')
LU = df[Luna]

values = [LU.columns.values.tolist()]
values.extend(LU.values.tolist())
spreadsheet.values_update(sheet_name, params={'valueInputOption': 'USER_ENTERED'}, body={'values': values})

Pattern 2:

In this pattern, the value of df[Luna] is put to the Spreadsheet using the method of values_update .

Sample script:

client = gspread.authorize(creds)
spreadsheet = client.open('Test Sheet')
sheet_name = 'bick 4'

import pandas as pd
df = pd.read_csv('/Users/macbook/Documents/Atom Projects/Sheets1/report.csv')#, index_col = '(Child) ASIN')
Luna = (df['(Child) ASIN'] == 'B0716JTGSX')
LU = df[Luna]

values = LU.values.tolist()
spreadsheet.values_append(sheet_name, params={'valueInputOption': 'USER_ENTERED'}, body={'values': values})

References:

• values_update
• values_append