python处理下载的天气数据

import csv
from matplotlib import pyplot as plt
from datetime import datetime

filename="sitka_weather_2014.csv"
with open(filename) as f:
    reader=csv.reader(f)
    header_row=next(reader)

    dates,highs,lows=[],[],[]
    for row in reader:
        highs.append(int(row[1]))
        lows.append(int(row[3]))
        dates.append(datetime.strptime(row[0],"%Y-%m-%d"))

fig=plt.figure(figsize=(15,8))
plt.plot(dates,highs,c='red',alpha=0.5)
plt.plot(dates,lows,c='blue',alpha=0.5)
plt.fill_between(dates,highs,lows,facecolor='blue',alpha=0.1)


plt.title("daily high temperatures,july 2014",fontsize=24)
plt.xlabel("",fontsize=16)
fig.autofmt_xdate()
plt.ylabel("f",fontsize=16)
plt.tick_params(axis='both',which='major',labelsize=16)
plt.show()