Google Sheets API adding single qoute to text - google-api

Question

Hi I am running a Google APi script to enter data into a sheet but for some text (number,dates, booleans) it's adding a ' before e.g 05/01/2021 = '05/01/2021
I am using batch update:
def turn_into_range(data, SheetId, row,cols):
rows = [{'values': [{'userEnteredValue': {'stringValue': f}} for f in e]} for e in data]
rng = {'sheetId': SheetId, 'startRowIndex': 0, 'startColumnIndex': 0}
fields = 'userEnteredValue'
body = {'requests': [{'updateCells': {'rows': rows, 'range': rng, 'fields': fields}},{
"updateSheetProperties": {
"properties": {
"gridProperties": {
"rowCount": row + 1,
"columnCount": cols
},
"sheetId": SheetId
},
"fields": "gridProperties"
},
}
]}
clean_dict = simplejson.loads(simplejson.dumps(body, ignore_nan=True))
return clean_dict
def post_sheet(service_sheets, spreadsheet_id, body):
request = service_sheets.spreadsheets().batchUpdate(spreadsheetId=spreadsheet_id, body=body)
response = request.execute()
return response
any ideas?

Answer 1

For this issue, it is because your data is treated as string in stringValue.
You need to use other types of values for different data types,
stringValue:
"A String", # Represents a string value.
Leading single quotes are not included. For example, if the user typed '123 into the UI, this would be represented as a stringValue of "123".
boolValue:
True or False, # Represents a boolean value.
numberValue:
3.14, # Represents a double value.
Note: Dates, Times and DateTimes are represented as doubles in "serial number" format.
formulaValue:
"A String", # Represents a formula.
errorValue:
An error in a cell. Represents an error.
This field is read-only.
Try adding this in your code.
from dateutil.parser import parse
def checkData(data):
if (isinstance(data, bool)):
return 'boolValue'
try:
if (isinstance(data, (int, float)) or parse(data)):
return 'numberValue'
except ValueError:
return 'stringValue'
Behaviour:
Now, use it in your code:
rows = [{'values': [{'userEnteredValue': {checkData(f): f}} for f in e]} for e in data]
For more details, documentation can be found here