I wrote the following snippet to post datasets (e.g. TSVs or CSVs) to google sheets. In order to get this to work you will need to authorize google sheets access.

Then you can set the content of any google sheets worksheet to the data from a pandas dataframe by using the pandas_to_sheets function.

#!/usr/bin/env python
import gspread
from oauth2client.service_account import ServiceAccountCredentials

def iter_pd(df):
    for val in list(df.columns):
        yield val
    for row in df.values:
        for val in list(row):
            if pd.isna(val):
                yield ""
            else:
                yield val

def pandas_to_sheets(pandas_df, sheet, clear = True):
    # Updates all values in a workbook to match a pandas dataframe
    if clear:
        sheet.clear()
    (row, col) = pandas_df.shape
    cells = sheet.range("A1:{}".format(gspread.utils.rowcol_to_a1(row + 1, col)))
    for cell, val in zip(cells, iter_pd(df)):
        cell.value = val
    sheet.update_cells(cells)

scope = ['https://spreadsheets.google.com/feeds',
         'https://www.googleapis.com/auth/drive']

credentials = ServiceAccountCredentials.from_json_keyfile_name('service.json', scope)

gc = gspread.authorize(credentials)

workbook = gc.open_by_key("<workbook id>")
sheet = workbook.worksheet("worksheet_name")

df = pd.read_csv("input_data.tsv")
pandas_to_sheets(df, workbook.worksheet("worksheet"))