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Implemented logging, improved graph presentation

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This commit is contained in:
R Dittberner 2026-06-04 13:12:09 +02:00
parent 4967a82c13
commit cf2711a936
1 changed files with 21 additions and 11 deletions
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10
receiver.py
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@ -7,6 +7,7 @@ data_store = []
data_buffer = [] data_buffer = []
times = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20] times = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20]
try:
for data in send_test_data.data_test_forever(): for data in send_test_data.data_test_forever():
currentdata = json.loads(data) currentdata = json.loads(data)
data_store.append(currentdata["V"]) data_store.append(currentdata["V"])
@ -14,8 +15,17 @@ for data in send_test_data.data_test_forever():
# draw graph # draw graph
fig, ax = plt.subplots() fig, ax = plt.subplots()
if currentdata["V"] > 150:
ax.set_facecolor('red')
ax.plot(times[:len(data_buffer)], data_buffer, 'k')
else:
ax.plot(times[:len(data_buffer)], data_buffer) ax.plot(times[:len(data_buffer)], data_buffer)
ax.set_xlabel('Time [100 ms]')
ax.set_ylabel('Value randomness')
ax.set_title('Value randomness over time')
plt.xticks(np.arange(1, 21, 1)) plt.xticks(np.arange(1, 21, 1))
plt.yticks(np.arange(0, 257, 32)) plt.yticks(np.arange(0, 257, 32))
plt.show() plt.show()
plt.close() plt.close()
except KeyboardInterrupt:
exit(0)