buggy behavior when dealing with decimals?

Hey, I am dealing with this behavior and I don’t know if its a bug or I am doing something wrong:

import pandas as pd
import numpy as np
import gspread
import gspread_dataframe
from gspread_dataframe import set_with_dataframe
gc = gspread.service_account()
sh = gc.open('pandas_spreadsheet')
worksheet = sh.get_worksheet(0)

test_df = pd.DataFrame.from_records([{'a': i/500 + np.random.randn(), 'b': i * 2} for i in np.arange(0,1000,100)])
test_df
set_with_dataframe(worksheet, test_df)

Expected:

Obtained:

And if i go to the cell A1 and copy the cell value is -9622382525353560 I thought it was something with the formatting, but this number is not a float.

If I export the df using set_with_dataframe(worksheet, test_df.round(3)) I obtain the following:

And this is a the same test in a new blank worksheet (to avoid any kind of previous formatting problems)

Please let me know if there is something that I can do to help you with a PR.

[robin900]

@ivanlen I suspect that a Google spreadsheet’s locale settings determine not just the default display formatting of numbers and dates, but also the parsing format rules when interpreting cell value inputs that are in mode USER_ENTERED.

Would you be willing to try the following:

1. Manually change the locale for this Google spreadsheet to “United States”. With the sheet open in a browser, visit File->Spreadsheet settings. Then run your Python script again and see if the float values are parsed correctly as floats.

2. If everything works fine for your script once spreadsheet locale is “United States”, then post here what your original locale was, and we will proceed from there.

(I suspect the solution to the problem will be either:

A) Allow overrides to the valueInputOption value included in Sheets API cell updates; currently the package uses USER_ENTERED to take advantage of the powerful value parsing logic in Sheets, but it’s apparently that some users need to bypass USER_ENTERED.

B) Add locale awareness to set_with_dataframe in some fashion, so that formatting inputs using values from the dataframe take the expected locale of the spreadsheet into consideration.)

[robin900]

@ivanlen Release 3.1.1 with this fix ya está en PyPI. Gracias por su ayuda!