Python项目二：csv文件的处理

from pathlib import Path from datetime import datetime import csv import matplotlib.pyplot as plt path = Path('weather_data/death_valley_2021_simple.csv') lines = path.read_text().splitlines() reader = csv.reader(lines) header_row = next(reader) # 提取日期，最低温度和最高温度 dates, highs, lows = [], [], [] for row in reader: current_date = datetime.strptime(row[2], '%Y-%m-%d') try: high = int(row[3]) low = int(row[4]) except ValueError: print(f"Missing data for {current_date}") else: dates.append(current_date) highs.append(high) lows.append(low) # 根具最高和最低温度绘图 plt.style.use('seaborn') fig, ax = plt.subplots() ax.plot(dates, highs, color='red', alpha=0.5) # alpha设置透明度 ax.plot(dates, lows, color='blue', alpha=0.5) ax.fill_between(dates, highs, lows, facecolor='blue', alpha=0.1) # 设置绘图的格式 ax.set_title("Daily High And Low Temperatures, 2021", fontsize=24) ax.set_xlabel('', fontsize=16) fig.autofmt_xdate() ax.set_ylabel("Temperature(F)", fontsize=16) ax.tick_params(labelsize=16) plt.show()