network_usage_per_interface.py

import psutil
import time
import os
import pandas as pd

UPDATE_DELAY = 1 # in seconds

def get_size(bytes):
    """
    Returns size of bytes in a nice format
    """
    for unit in ['', 'K', 'M', 'G', 'T', 'P']:
        if bytes < 1024:
            return f"{bytes:.2f}{unit}B"
        bytes /= 1024

# get the network I/O stats from psutil on each network interface
# by setting `pernic` to `True`
io = psutil.net_io_counters(pernic=True)

while True:
    # sleep for `UPDATE_DELAY` seconds
    time.sleep(UPDATE_DELAY)
    # get the network I/O stats again per interface 
    io_2 = psutil.net_io_counters(pernic=True)
    # initialize the data to gather (a list of dicts)
    data = []
    for iface, iface_io in io.items():
        # new - old stats gets us the speed
        upload_speed, download_speed = io_2[iface].bytes_sent - iface_io.bytes_sent, io_2[iface].bytes_recv - iface_io.bytes_recv
        data.append({
            "iface": iface, "Download": get_size(io_2[iface].bytes_recv),
            "Upload": get_size(io_2[iface].bytes_sent),
            "Upload Speed": f"{get_size(upload_speed / UPDATE_DELAY)}/s",
            "Download Speed": f"{get_size(download_speed / UPDATE_DELAY)}/s",
        })
    # update the I/O stats for the next iteration
    io = io_2
    # construct a Pandas DataFrame to print stats in a cool tabular style
    df = pd.DataFrame(data)
    # sort values per column, feel free to change the column
    df.sort_values("Download", inplace=True, ascending=False)
    # clear the screen based on your OS
    os.system("cls") if "nt" in os.name else os.system("clear")
    # print the stats
    print(df.to_string())