Created
December 20, 2022 14:26
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Visualize CTFTime Statistics
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| import matplotlib.pyplot as plt | |
| import json | |
| import re | |
| from datetime import datetime | |
| events = json.load(open("./events.json")) | |
| events = sorted(events, key=lambda event:datetime.fromisoformat(event["start"])) | |
| # for event in events: | |
| # print(f"[{datetime.fromisoformat(event['start']).strftime('%Y-%m-%d %H:%M:%S')}] {event['title']}") | |
| # eventの例を表示 | |
| print(json.dumps(events[-1], indent=2)) | |
| print("LEN: ", len(events)) | |
| # 年ごとにeventsを分ける | |
| yearly_events = {} | |
| for event in events: | |
| start_year = str(datetime.fromisoformat(event['start']).year)[2:] | |
| if int(start_year) < 11 or 22 < int(start_year): | |
| continue | |
| if start_year not in yearly_events: | |
| yearly_events[start_year] = [] | |
| yearly_events[start_year].append(event) | |
| # CTFがある年のリストを生成 | |
| years = list(yearly_events.keys()) | |
| # 毎年のCTFの数 | |
| yearly_events_num = [] | |
| for year_events in yearly_events.values(): | |
| yearly_events_num.append(0) | |
| for event in year_events: | |
| yearly_events_num[-1] += 1 | |
| plt.grid() | |
| plt.title("number of events") | |
| plt.bar(years, yearly_events_num, label="events") | |
| plt.show() | |
| # CTFごとの結果を取得 | |
| results = json.load(open("results.json")) | |
| # 毎年のCTFに参加するチーム数の平均 | |
| yearly_average_participants = [] | |
| for year_events in yearly_events.values(): | |
| yearly_average_participants.append(0) | |
| for event in year_events: | |
| if str(event["id"]) not in results: | |
| continue | |
| participant_count = len(results[str(event["id"])]["scores"]) | |
| # if participant_count != event["participants"]: | |
| # print(event, participant_count) | |
| yearly_average_participants[-1] += participant_count | |
| yearly_average_participants[-1] /= len(year_events) | |
| valid_years = list(years) | |
| while yearly_average_participants[0] == 0: | |
| valid_years.pop(0) | |
| yearly_average_participants.pop(0) | |
| while yearly_average_participants[-1] == 0: | |
| valid_years.pop() | |
| yearly_average_participants.pop() | |
| plt.grid() | |
| plt.title("average participant") | |
| plt.bar(valid_years, yearly_average_participants, label="participant") | |
| plt.legend() | |
| plt.show() | |
| # CTFのスコアを0~1に標準化して、年ごとに集計 | |
| yearly_difficulty_dist = [] | |
| for year_events in yearly_events.values(): | |
| yearly_difficulty_dist.append([]) | |
| for event in year_events: | |
| if str(event["id"]) not in results: | |
| continue | |
| scores = results[str(event["id"])]["scores"] | |
| min_score = float(scores[-1]["points"]) | |
| max_score = float(scores[0]["points"]) | |
| if max_score - min_score <= 0: | |
| continue | |
| std_points = [] | |
| for score in scores: | |
| std_point = (float(score["points"]) - min_score) / (max_score - min_score) | |
| if std_point < 0 or 1 < std_point: | |
| print(event["title"], event["ctftime_url"]) | |
| std_points = [] | |
| break | |
| # print(score["points"], max_score, min_score, std_point) | |
| std_points.append(std_point) | |
| yearly_difficulty_dist[-1] += std_points | |
| valid_years = list(years) | |
| while len(yearly_difficulty_dist[0]) == 0: | |
| valid_years.pop(0) | |
| yearly_difficulty_dist.pop(0) | |
| while len(yearly_difficulty_dist[-1]) == 0: | |
| valid_years.pop() | |
| yearly_difficulty_dist.pop() | |
| plt.grid() | |
| plt.title(f"difficulty") | |
| plt.boxplot(yearly_difficulty_dist, labels=valid_years, whis=[0, 100]) | |
| plt.show() | |
| # 年ごとの競技時間の分布 | |
| yearly_duration_dist = [] | |
| for i, year_events in enumerate(yearly_events.values()): | |
| yearly_duration_dist.append([]) | |
| for event in year_events: | |
| duration = event['duration']['hours'] + event['duration']['days'] * 24 | |
| if duration <= 0 or 24*5 < duration: | |
| continue | |
| yearly_duration_dist[-1].append(duration) | |
| fig = plt.figure() | |
| ax = fig.add_subplot(1, 1, 1) | |
| ax.set_title("duration") | |
| ax.grid() | |
| ax.set_xticks(list(range(1, len(valid_years)+1))) | |
| ax.set_xticklabels(valid_years) | |
| ax.violinplot(yearly_duration_dist) | |
| plt.show() | |
| title_stats = { | |
| r"[^ ]CTF": 0, | |
| r" CTF": 0, | |
| r"Capture ?The ?Flag": 0, | |
| r"[^ ]CON ": 0, | |
| r"Finals?": 0 | |
| } | |
| for event in events: | |
| title = event["title"] | |
| for regex in title_stats.keys(): | |
| if re.search(regex, title, re.IGNORECASE): | |
| title_stats[regex] += 1 | |
| print(title_stats) |
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