Python CSV- 绘制气温图表_附件中是某月每天的最高温度和最低温度数据,请绘制本月的高温曲线(红 12 11 p

CSV- 绘制气温图表

# highs_lows_Jul.py 最高温及最低温
import csv

from matplotlib import pyplot as plt
from datetime import datetime

# 从文件中获取最高气温
filename = 'data/sitka_weather_07-2014.csv'
with open(filename) as f:  # 打开文件
    reader = csv.reader(f)  # 调用csv.reader(),创建一个与文件相关联的阅读器对象
    header_row = next(reader)  # 阅读下一行(标题行)
    
    """
    for index, column_header in enumerate(header_row):  # 获取索引及值
        print(index, column_header)
    """
    
    """
    dates = [datetime.strptime(row[0], '%Y-%m-%d') for row in reader]  # 使用strptime方法设置日期的格式
    highs = [int((int(row[1]) - 32) / 1.8) for row in reader] # Max TemperatureF列 每行的[1]索引处,并将华氏度转换为摄氏度
    """
    
    datas = [[datetime.strptime(row[0], '%Y-%m-%d'), int((int(row[1]) - 32) / 1.8)] for row in reader]
    dates = [row[0] for row in datas]  # or [datas[row][0] for row in range(len(datas))]
    highs = [row[1] fo
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