47 lines
1.3 KiB
Python
47 lines
1.3 KiB
Python
import csv
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def v1():
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column_timeouts = None
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column_count = 0
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column_counts = None
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column_sums = None
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row_count = 0
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with open('data/all.csv', 'r') as f:
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reader = csv.reader(f)
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column_count = len(next(reader))
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f.seek(0)
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column_timeouts = [0 for _ in range(column_count)]
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column_counts = [0 for _ in range(column_count)]
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column_sums = [0.0 for _ in range(column_count)]
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for row in reader:
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row_count += 1
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for i, ping in enumerate(row):
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ping = float(ping)
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if ping == -1:
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column_timeouts[i] += 1
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else:
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column_counts[i] += 1
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column_sums[i] += ping
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print(f'Rows: {row_count}')
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print(f'Columns: {column_count}')
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for i in range(column_count):
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ctimeout = column_timeouts[i]
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ccounts = column_counts[i]
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csum = column_sums[i]
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print(f'Column {i}')
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print(f'\tTimeouts: {round(ctimeout / row_count * 100, 2)}% ({ctimeout} of {row_count} requests)')
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print(f'\tAverage ping: {round(csum / ccounts, 4)} ({ccounts} of {row_count} requests)')
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if __name__ == '__main__':
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v1()
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