<pre> import socket import pandas as pd import pickle df = pd.read_csv(r"C:\Users\DELL\OneDrive\Desktop\mythesisdataset.csv" ,engine='python', names=[ 'SBP', 'DBP', 'HEARTRATE', "Temperature" ]) normal_df = (df [ (df.SBP > 120) & (df.DBP > 90) & (df.HEARTRATE < 100) & (df [ 'Temperature' ] < 100) ]) print(normal_df) normal_df_bytes = pickle.dumps(df) s = socket.socket() host = socket.gethostname() port = 12345 s.bind((host, port)) print("host name:", host, " socket name:", socket) print("Waiting for Fog-node to connect...") s.listen() while True: c, addr = s.accept() print('Got connection from', addr, '...') bytes = c.send(normal_df_bytes) c.close() # Close the connection
import socket import sys import pickle HOST, PORT = "123.123.123.123", 12345 print(sys.argv[0:]) data = " ".join(sys.argv[1:]) # Create a socket (SOCK_STREAM means a TCP socket) sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM) try: # Connect to server and send data sock.connect((socket.gethostname(), 12345)) sock.sendall(bytes(data + "\n", "utf-16")) # Receive data from the server and shut down received = str(sock.recv(1024), "utf-16") pickle.load(received) finally: sock.close() print("Sent: {}".format(data)) print("Received: {}".format(received))
load
var
This content, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)