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I used the following code:

import socket
import struct
import pandas as pd
import streamlit as st


UDP_IP = "127.0.0.1"
UDP_PORT = 9000

sock = socket.socket(socket.AF_INET, # Internet
                     socket.SOCK_DGRAM) # UDP
sock.bind((UDP_IP, UDP_PORT))

while True:
    data, addr = sock.recvfrom(1024) # buffer size is 1024 bytes
    fields = struct.unpack_from('=ddd', data)
    
    d = {'y': fields[0],
         'x': fields[1],
         'z': fields[2]}

    df = pd.DataFrame([d], columns=d.keys())

    df

The app does not display the dataframe (see below). What is the best way to deal with socket data to use in the app? The data is generated 1/60th of a second. I can reduce the frequency to 0.2 s but I don't know how to do that via socket.

enter image description here

umair durrani
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0 Answers0