high_low_mean.py
| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 | # -*- coding: utf-8 -*- """ Created on Sun Oct 22 18:19:57 2017 @author: dqhpl """ import csv from matplotlib import pyplot as plt from datetime import datetime#获取时间的包 filename = 'sitka_weather_2014.csv' with open(filename) as f: reader = csv.reader(f) header_row = next(reader) highs,dates, lows, means = [],[],[],[] for row in reader: try: current_date = datetime.strptime(row[0], "%Y-%m-%d")#转换为日期形式，格式记住 low = int(row[3]) high = int(row[1]) mean = int(row[2]) except ValueError: print(current_date, 'missing data')#如果有日期缺失数据提醒没有数据 else: dates.append(current_date) lows.append(low) highs.append(high)#每一行第1列的数据加入（这个其实是第2列，真正的第1列是第0列） means.append(mean) fig = plt.figure(dpi =128,figsize=(10,5)) plt.plot(dates, highs, c='red', alpha = 0.3)#alpha指定透明度，0是完全透明，1是完全不透明 plt.plot(dates, lows, c='blue', alpha =0.3) plt.plot(dates, means, c='yellow') plt.fill_between(dates, highs, lows, facecolor= 'blue', alpha=0.1) #设置图像格式 plt.title("Daily high temperatures - 2014", fontsize = 14) fig.autofmt_xdate()#绘制斜的日期标签 plt.ylabel("Temperature(F)", fontsize =10) plt.savefig('temperature.png', bbox_inces = 'tight') #plt.show()#plt.show()打开matplotlib查看器，并显示绘制的图形 # for index,column_header in enumerate(header_row):#enumerate()表示来获取每个元素的索引及其值 # print(index, column_header) |
