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evaluate_measurements.py
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evaluate_measurements.py
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import matplotlib.pyplot as plt
from model import MeasuredDuration
def download():
delays = []
counter = 0
for item in MeasuredDuration.scan():
delays.append(item.delay)
counter += 1
if counter % 1000 == 0:
print(f'{counter}')
return delays
if __name__ == '__main__':
data = download()
print(f'total: {len(data)}')
plt.hist(data, bins=100)
plt.title(f'Regular Scaled ({len(data)} events)')
plt.xlabel("Delay after scheduled time (milliseconds)")
plt.ylabel("Number of events")
plt.savefig('regular.png')
plt.yscale('log')
plt.xscale('log')
plt.title(f'Log Scaled ({len(data)} events)')
plt.xlabel("Delay after scheduled time (milliseconds)")
plt.ylabel("Number of events")
plt.savefig('log.png')
print('Diagrams saved to regular.png and log.png')