Next up, network traffic. Precious precious internet. How fast are the 1's and 0's going up and down the pipe? How much in total have gone up and down the pipe? With this example, we track both of these.
There's no easy way to pre-determine your max bandwidth. Therefore you may want to adjust the ylim values and the divisors in update_data()if you find the data too squished or going off the chart.
# SPDX-FileCopyrightText: 2019 Carter Nelson for Adafruit Industries
#
# SPDX-License-Identifier: MIT
import time
from collections import deque
import psutil
# Blinka CircuitPython
import board
import digitalio
import adafruit_rgb_display.ili9341 as ili9341
# Matplotlib
import matplotlib.pyplot as plt
# Python Imaging Library
from PIL import Image
#pylint: disable=bad-continuation
#==| User Config |========================================================
REFRESH_RATE = 1
HIST_SIZE = 61
PLOT_CONFIG = (
#--------------------
# PLOT 1 (upper plot)
#--------------------
{
'title' : 'RATE (MBPS)',
'ylim' : (0, 1),
'line_config' : (
{'color' : '#AAFF00', 'width' : 2}, # sent
{'color' : '#00AAFF', 'width' : 2}, # recv
)
},
#--------------------
# PLOT 2 (lower plot)
#--------------------
{
'title' : 'TOTAL (GB)',
'ylim' : (0, 1),
'line_config' : (
{'color' : '#AAFF00', 'width' : 2}, # sent
{'color' : '#00AAFF', 'width' : 2}, # recv
)
}
)
def update_data():
''' Do whatever to update your data here. General form is:
y_data[plot][line].append(new_data_point)
'''
# get two data points
net_start = psutil.net_io_counters()
time.sleep(REFRESH_RATE)
net_finish = psutil.net_io_counters()
# rate is d()/dt
BPS_sent = (net_finish.bytes_sent - net_start.bytes_sent) / REFRESH_RATE
BPS_recv = (net_finish.bytes_recv - net_start.bytes_recv) / REFRESH_RATE
y_data[0][0].append(BPS_sent / 1e6)
y_data[0][1].append(BPS_recv / 1e6)
# total is just last
y_data[1][0].append(net_finish.bytes_sent / 1e9)
y_data[1][1].append(net_finish.bytes_recv / 1e9)
#==| User Config |========================================================
#pylint: enable=bad-continuation
# Setup X data storage
x_time = [x * REFRESH_RATE for x in range(HIST_SIZE)]
x_time.reverse()
# Setup Y data storage
y_data = [ [deque([None] * HIST_SIZE, maxlen=HIST_SIZE) for _ in plot['line_config']]
for plot in PLOT_CONFIG
]
# Setup display
disp = ili9341.ILI9341(board.SPI(), baudrate = 24000000,
cs = digitalio.DigitalInOut(board.D4),
dc = digitalio.DigitalInOut(board.D5),
rst = digitalio.DigitalInOut(board.D6))
# Setup plot figure
plt.style.use('dark_background')
fig, ax = plt.subplots(2, 1, figsize=(disp.width / 100, disp.height / 100))
# Setup plot axis
ax[0].xaxis.set_ticklabels([])
for plot, a in enumerate(ax):
# add grid to all plots
a.grid(True, linestyle=':')
# limit and invert x time axis
a.set_xlim(min(x_time), max(x_time))
a.invert_xaxis()
# custom settings
if 'title' in PLOT_CONFIG[plot]:
a.set_title(PLOT_CONFIG[plot]['title'], position=(0.5, 0.8))
if 'ylim' in PLOT_CONFIG[plot]:
a.set_ylim(PLOT_CONFIG[plot]['ylim'])
# Setup plot lines
#pylint: disable=redefined-outer-name
plot_lines = []
for plot, config in enumerate(PLOT_CONFIG):
lines = []
for index, line_config in enumerate(config['line_config']):
# create line
line, = ax[plot].plot(x_time, y_data[plot][index])
# custom settings
if 'color' in line_config:
line.set_color(line_config['color'])
if 'width' in line_config:
line.set_linewidth(line_config['width'])
if 'style' in line_config:
line.set_linestyle(line_config['style'])
# add line to list
lines.append(line)
plot_lines.append(lines)
def update_plot():
# update lines with latest data
for plot, lines in enumerate(plot_lines):
for index, line in enumerate(lines):
line.set_ydata(y_data[plot][index])
# autoscale if not specified
if 'ylim' not in PLOT_CONFIG[plot].keys():
ax[plot].relim()
ax[plot].autoscale_view()
# draw the plots
canvas = plt.get_current_fig_manager().canvas
plt.tight_layout()
canvas.draw()
# transfer into PIL image and display
image = Image.frombytes('RGB', canvas.get_width_height(),
canvas.tostring_rgb())
disp.image(image)
print("looping")
while True:
update_data()
update_plot()
# update rate controlled in update_data()
Save that as tft_sidekick_net.py and run it with:
python3 tft_sidekick_net.py
Make sure you've set the BLINKA_FT232H environment variable.
and you should get something like:
Page last edited January 22, 2025
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