#分析CSV文件头：

import csv

#添加日期

from datetime import datetime

#绘制温度图表

import matplotlib.pyplot as plt

filename = 'data/xxx.csv'

with open(filename) as f:

    reader = csv.reader(f)

    header_row = next(reader)

    #从文件中获取日期和最高温度

    dates,highs,lows = [],[],[]

    for index,column_header in enumerate(header_row):    #获取索引和值

        print(index,column_header)

    #提取并读取数据

    highs = [ ]

    for row in reader:

        current_date = datetime.strptime(row[2],'%Y-%m-%d')

        high = int(row(5))

        low = int(row(6))

        dates.append(current_date)

        highs.append(high)

        lows.append(low)

#根据最高温度绘制图形

plt.style.use('seaborn')

fig,ax = plt.subplots()

ax.plot(dates,highs,c = 'red',alpha = 0.5)    #alpha 0 表示完全透明

ax.plot(dates,lows,c = 'blue',alpha = 0.5)

ax.fill_between(dates,highs,lows,facecolor = 'blue',alpha = 0.1)    #接受一个x，两个y

#ax.plot(highs,c = 'red')

#设置图形样式

ax.set_title("标题",fontsize = 24)

ax.set_xlabel('',fontsize = 16)

#绘制倾斜的标签

fig.autofmt_xdate()

ax.set_ylabel("温度",fontsize = 16)

ax.tick_params(axis = 'both',which = 'major',labelsize = 16)

plt.show()