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Python - Lists of Numbers: Processing List Data - statistics, mean method

Head First Python: A Learner’s Guide to the Fundamentals of Python Programming, A Brain-Friendly Guide、 Paul Barry(著)、 O’Reilly Mediaの Chapter 3.(Lists of Numbers: Processing List Data)、EXERCISE(85/101)の解答を求めてみる。

Jupyter(コード、入出力結果)

Times.ipynb

FN = 'Darius-13-100m-Fly.txt'

FOLDER = 'swimdata/'

with open(FOLDER + FN) as file:
    lines = file.readlines()

times = lines[0].rstrip('\n').split(',')

converts = []
for t in times:
    minutes, rest = t.split(':')
    seconds, hundredths = rest.split('.')
    converted_time = int(minutes) * 60 * 100 + int(seconds) * 100 + int(hundredths)
    converts.append(converted_time)

import statistics

average = statistics.mean(converts)

mins_secs, hundredths = str(round(average / 100, 2)).split('.')

mins_secs = int(mins_secs)

minutes = mins_secs // 60

minutes

1

seconds = mins_secs - minutes*60

seconds

26

swimmer, age, distance, stroke = FN.removesuffix('.txt').split('-')

average = f'{minutes}:{seconds}.{hundredths}'

average, swimmer, age, distance, stroke

('1:26.58', 'Darius', '13', '100m', 'Fly')

times

['1:27.95', '1:21.07', '1:30.96', '1:23.22', '1:27.95', '1:28.30']