ValueError: DataFrame constructor not properly called

MAMPI

please help me get rid of this issue

Mnagesh

@MAMPI
token you are passing as a integer 30108
but token should be an string "30108"

Hope this is definitely solve your issue

Mnagesh

@MAMPI token may not be there in NSE

If you are doing NFO then you have to specify NFO tokens only.

Hope you are not trying to get some options or futures data using exchang as NSE

MAMPI

@Mnagesh

pd.set_option('max_columns',None)
apikey='TSOju4BH'
username='******4'
pwd='*******a'

def getCandleDta(token):
try:
historicParam={
"exchange": "NSE",
"symboltoken": token,
"interval": "THIRTY_MINUTE",
"fromdate":"2022-06-22 09:15",
"todate":"2022-06-27 15:30"
}

   return obj.getCandleData(historicParam)
except Exception as e:
    print("error")

columns = ['timestamp','O','H','L','C','V']

res_json1 = getCandleDta(30108)
print(res_json1)
df1=pd.DataFrame(res_json1['data'],columns=columns)
dx2['ABFRL']=df1['C']
df1=0

after execution of the code above mention error is appearing,

Mnagesh

@MAMPI Invalid Token error
can you elaborate in detail with just part of your code without disclosing any login or password .

is it occurred during login process ?

or

it occurred during fetching some details of your share like SBIN or so ?

MAMPI

@MAMPI {'success': False, 'message': 'Invalid Token', 'errorCode': 'AG8001', 'data': ''}