39 lines
1.2 KiB
Python
39 lines
1.2 KiB
Python
from urllib.request import urlopen
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from bs4 import BeautifulSoup
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from pytimeparse import parse
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from matplotlib import pyplot as plt
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url = "https://pwning.sec.in.tum.de/scoreboard/"
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page = urlopen(url)
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content = BeautifulSoup(page.read().decode(), 'html.parser')
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teams = content.find_all("a", class_="link-underline link-underline-opacity-0 link-underline-opacity-100-hover", title=True)
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names = [team.get_text() for team in teams]
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times_with_points = [team['title'] for team in teams]
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# convert times to hours
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times = [parse(time_with_points.split('/')[0].strip()) / 3600 for time_with_points in times_with_points]
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points = [int(time_with_points.split('/')[1].strip()) for time_with_points in times_with_points]
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# filter out teams with no time entry
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times = [time for time in times if time > 0]
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points = points[0:len(times)]
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names = names[0:len(times)]
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fig, ax = plt.subplots()
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ax.plot(names, times, 'o-', label='Binex Times')
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ax.set_ylabel('Total time taken in hours')
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ax.set_xlabel('Team name')
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# Annotate each data point with its x-axis value
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for x, y in zip(names, times):
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ax.annotate(f'{x}', (x, y), textcoords="offset points", xytext=(0,10), ha='center')
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# Hide xticks
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ax.set_xticks([])
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ax.legend()
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plt.show()
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