Google Sheets
Fetch data from a sheet in google spreadsheet and get a data frame in your notebook.
For the driver to fetch the contents of your google sheet, you need to share it with the service account linked with Naas.
Now you can fetch data from the sheet as a pandas data frame.
Get your
spreadsheetId for your spreadsheet URL like this :import naas_drivers
spreadsheet_id = "idd"
sheet_name = "sheet_name"
# Dataframe is returned
df = naas_drivers.gsheet.connect(spreadsheet_id).get(
sheet_name=sheet_name
)
Append to the current sheet.
import naas_drivers
spreadsheet_id = "idd"
sheet_name = "sheet_name"
# Data accepts list of dict or dataframe
data = [{"name": "Jean", "email": "[email protected]"},
{"name": "Bunny", "email": "[email protected]"}]
naas_drivers.gsheet.connect(spreadsheet_id).send(
sheet_name=sheet_name,
data=data
)
When you need to clear the sheet before filling it!
import naas_drivers
spreadsheet_id = "idd"
sheet_name = "sheet_name"
# Data accepts list of dict or dataframe
data = [{"name": "Jean", "email": "[email protected]"},
{"name": "Bunny", "email": "[email protected]"}]
naas_drivers.gsheet.connect(spreadsheet_id).send(
sheet_name=sheet_name,
data=data,
append=False
)
delete rows to the current sheet.
import naas_drivers
spreadsheet_id = "idd"
sheet_name = "sheet_name"
# Data accepts list of dict or dataframe
rows = [3, 4, 5]
naas_drivers.gsheet.connect(spreadsheet_id).delete(
sheet_name=sheet_name,
rows=rows
)
You can also save your connection and don't repeat it for each method.
import naas_drivers
gsheet = naas_drivers.gsheet.connect("spreadsheet_id")
