May-12-2019, 06:41 AM
I am trying to read data online from a website every 1 seconds using following code, then plot the result in real time. I mean I like to add new last_price in every second to the previous plot and update it.
This is not a duplicated question. In the mentioned link I tried to solve the problem using Animations but in this question I am trying to find a new way using multi-threading.
import time import requests for i in range(2600): time.sleep(1) with requests.Session() as s: data = {'ContractCode' : 'SAFTR98'} r = s.post('http://cdn.ime.co.ir/Services/Fut_Live_Loc_Service.asmx/GetContractInfo', json = data ).json() for key, value in r.items(): print(r[key]['ContractCode']) last_prices = (r[key]['LastTradedPrice'])I used animation.FuncAnimation but didn't work because it plots all the results after the 2600 iterations is done or I stop the program! So I thought maybe I can do the work with multi-threading. But I don't know how exactly should I use it? I searched about but couldn't understand the examples and how should I map it to my problem?
This is not a duplicated question. In the mentioned link I tried to solve the problem using Animations but in this question I am trying to find a new way using multi-threading.