python處理下載的天氣資料

來源:互聯網
上載者:User
import csvfrom matplotlib import pyplot as pltfrom datetime import datetimefilename="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()
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