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_driversspreadsheet_id = "idd"sheet_name = "sheet_name"# Dataframe is returneddf = naas_drivers.gsheet.connect(spreadsheet_id).get(sheet_name=sheet_name)
Append to the current sheet.
import naas_driversspreadsheet_id = "idd"sheet_name = "sheet_name"# Data accepts list of dict or dataframedata = [{"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_driversspreadsheet_id = "idd"sheet_name = "sheet_name"# Data accepts list of dict or dataframedata = [{"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_driversspreadsheet_id = "idd"sheet_name = "sheet_name"# Data accepts list of dict or dataframerows = [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_driversgsheet = naas_drivers.gsheet.connect("spreadsheet_id")