Getting error "'NoneType' object is not subscriptable". My username and password is correct as I am logging in successfully in the web platform with the same. Please help.

Hi,

Getting error in order placement, which says"Order placement failed: 'NoneType' object is not subscriptable". Username, password and api key are valid. Plz help!```
code_text

package import statement

from time import sleep
import pandas as pd
from datetime import datetime
import requests
import numpy as np

from smartapi import SmartConnect #or from smartapi.smartConnect import SmartConnect
import smartapi.smartExceptions

total_money = 2000

create object of call

obj=SmartConnect(api_key="Wj7BmSKt")

#login api call

data = obj.generateSession("S750557","thefretr21")
refreshToken = data['data']['refreshToken']

#fetch the feedtoken
feedToken=obj.getfeedToken()

#fetch User Profile
userProfile= obj.getProfile(refreshToken)

def getTokenInfo(df, exch_seg, instrument_type, symbol):
symbol = symbol + "-EQ"
df_script = token_df.loc[token_df['symbol'] == symbol]
return df_script.iat[0,0]

def round_of_num(number):
return round(number * 2) / 2

def place_order(stock, price):
global token_df
url = "https://margincalculator.angelbroking.com/OpenAPI_File/files/OpenAPIScripMaster.json"
d = requests.get(url).json()
token_df = pd.DataFrame.from_dict(d)
script_token = getTokenInfo(token_df, 'NSE', '', stock)

quantity = int(total_money / float(price))
#place order
try:
    orderparams = {
        "variety": "NORMAL",
        "tradingsymbol": stock,
        "symboltoken": script_token,
        "transactiontype": "BUY",
        "exchange": "NSE",
        "ordertype": "MARKET",
        "producttype": "INTRADAY",
        "duration": "DAY",
        # "price": "19500",
        # "squareoff": "0",
        # "stoploss": "0",
        "quantity": quantity
        }
    orderId=obj.placeOrder(orderparams)
    print("The order id is: {}".format(orderId))
except Exception as e:
    print("Order placement failed: {}".format(e))

def process_data(data):
my_list = data['stocks'].split(",")
prices = data['trigger_prices'].split(",")
positions = obj.position()

for i, stock in enumerate(my_list):
    # if stock not in positions['net']:
    place_order(stock,prices[i])
    sleep(0.5)

def lambda_handler(event, context):
process_data(event)
return "Success"