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# -*- coding: gbk -*-
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import csv
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from matplotlib import pyplot as plt, ticker
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from datetime import datetime
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from matplotlib.ticker import MultipleLocator
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filename = 'changsha天气.csv'
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with open(filename) as f:
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reader = csv.reader(f)
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header_row = next(reader)
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#获取每天的最高气温数据
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dates: [datetime] = []
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higts, lows = [], []
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for row in reader:
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try:
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current_date = datetime.strptime(row[0], '%Y-%m-%d')
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higt = int(row[1])
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low = int(row[2])
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except ValueError:
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print(current_date, '缺少信息')
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else:
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dates.append(current_date)
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higts.append(higt)
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lows.append(low)
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#根据数据绘制图形,设置窗口大小
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fig = plt.figure(dpi=150, figsize=(12, 8))
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#plot 拆线图 alpha=(0.1 - 0.9)表示透明度，0为全透明，1为不透明
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plt.plot(dates, higts, c='red', alpha=0.5)
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plt.plot(dates, lows, c='blue', alpha=0.5)
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#填充区间
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plt.fill_between(dates, lows, higts, facecolor='black', alpha=0.1)
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#设置图形格式
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plt.rcParams['font.sans-serif'] = ['SimHei']
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plt.title('长沙2023全年气温折线图', fontsize=20, weight='bold', color='blue', fontstyle='italic', loc='center')
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plt.xlabel('', fontsize=16)
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#日期标签倾斜
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fig.autofmt_xdate()
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plt.ylabel("温度", fontsize=16, loc='top')
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plt.xlabel("年-月", fontsize=16, loc='right')
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#设置刻度标记的大小
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plt.tick_params(axis='both', which='major',direction='in', pad=3,labelsize=16)
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plt.savefig('长沙2023年气温折线图.png')
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plt.show()
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