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The code in this file is mostly to get the ball moving in this repository. This file opens the 'light-meter-sample-readings-23-04-2021-ritherdon.csv' file and tallies-up the number of requests per second groups. After that, it writes the results to 23-04-2021-readings-per-sec.csv. As an example (to help explain), it counts and stores how many times the light meter (factory1) took a reading at the rate of two times per second. In this instance, there were 2955 instances of the light meter taking two readings per second. This roughly equates to 10% of the days readings was at a rate of two requests per second. 28% of the time the light meter was recording at four requests per second, 18% for one and 44% for three.stable
Craig Oates
3 years ago
1 changed files with 28 additions and 0 deletions
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import csv |
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import datetime |
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time_tallies = dict() |
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tally_totals = dict() |
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with open("data/light-meter-sample-readings-23-04-2021-ritherdon.csv") as csv_file: |
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csv_reader = csv.reader(csv_file, delimiter=",") |
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for r in csv_reader: |
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if (r[1] != "Time Stamp"): |
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time_str = r[1] |
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if (time_str in time_tallies): |
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time_tallies[time_str] = (time_tallies[time_str]) + 1 |
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else: |
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time_tallies[time_str] = 1 |
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for r2 in time_tallies.values(): |
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if (r2 in tally_totals): |
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tally_totals[r2] = (tally_totals[r2]) + 1 |
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else: |
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tally_totals[r2] = 1 |
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#print(tally_totals) |
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print(tally_totals.items()) |
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with open("data/results/23-04-2021-readings-per-sec.csv", mode="w") as result: |
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wtr = csv.writer(result) |
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for k, v in tally_totals.items(): |
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print(f"{k}: {v}") |
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wtr.writerow([k,v]) |
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Reference in new issue