'''要在文本文件中存儲數據，最簡單的方式是将數據作為一系列以逗号分隔的值（CSV）寫入文件數據來源：sitka_weather_07-2014.csv'''

import csv filename = 'sitka_weather_07-2014.csv' with open(filename) as f: reader = csv.reader(f)#打開文件,并存儲在列表中 header_row = next(reader)#返回文件的下一行 print(header_row) ['AKDT', 'Max TemperatureF', 'Mean TemperatureF', 'Min TemperatureF', 'Max Dew PointF', 'MeanDew PointF', 'Min DewpointF', 'Max Humidity', ' Mean Humidity', ' Min Humidity', ' Max Sea Level PressureIn', ' Mean Sea Level PressureIn', ' Min Sea Level PressureIn', ' Max VisibilityMiles', ' Mean VisibilityMiles', ' Min VisibilityMiles', ' Max Wind SpeedMPH', ' Mean Wind SpeedMPH', ' Max Gust SpeedMPH', 'PrecipitationIn', ' CloudCover', ' Events', ' WindDirDegrees']

for index,column_header in enumerate(header_row):#enumerate獲取每個元素的索引及值 print(index,column_header) 0 AKDT 1 Max TemperatureF 2 Mean TemperatureF 3 Min TemperatureF 4 Max Dew PointF 5 MeanDew PointF 6 Min DewpointF 7 Max Humidity 8 Mean Humidity 9 Min Humidity 10 Max Sea Level PressureIn 11 Mean Sea Level PressureIn 12 Min Sea Level PressureIn 13 Max VisibilityMiles 14 Mean VisibilityMiles 15 Min VisibilityMiles 16 Max Wind SpeedMPH 17 Mean Wind SpeedMPH 18 Max Gust SpeedMPH 19 PrecipitationIn 20 CloudCover 21 Events 22 WindDirDegrees

#讀取每天的最高氣溫 highs = [] for row in reader: #使用int将字符串轉為數字，讓matplotlib能夠讀取 high = int(row[1]) highs.append(high) print(highs) [64, 71, 64, 59, 69, 62, 61, 55, 57, 61, 57, 59, 57, 61, 64, 61, 59, 63, 60, 57, 69, 63, 62, 59, 57, 57, 61, 59, 61, 61, 66] #繪制氣溫圖表 import matplotlib.pyplot as plt fig = plt.figure(dpi = 128, figsize = (10,6)) plt.plot(highs, c = 'red') plt.title('daily high temperates, july 2014',fontsize = 24) plt.xlabel('', fontsize = 16) plt.xlabel('temperates', fontsize = 16) plt.tick_params(axis = 'both', which = 'major', labelsize = 16) plt.show()

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import csv filename = 'sitka_weather_07-2014.csv' with open(filename) as f: reader = csv.reader(f)#打開文件,并存儲在列表中 header_row = next(reader)#返回文件的下一行 print(header_row) ###打印文件頭及其位置 for index,column_header in enumerate(header_row):#enumerate獲取每個元素的索引及值 print(index,column_header) ###提取并讀取數據 #讀取每天的最高氣溫,以及讀取圖表中日期 from datetime import datetime dates, highs = [],[] for row in reader: #使用int将字符串轉為數字，讓matplotlib能夠讀取 high = int(row[1]) highs.append(high) date = datetime.strptime(row[0], "%Y-%m-%d") dates.append(date) print(highs) #繪制氣溫圖表 import matplotlib.pyplot as plt fig = plt.figure(dpi = 128, figsize = (10,6)) plt.plot(dates, highs, c = 'red') plt.title('daily high temperates, july 2014',fontsize = 24) plt.xlabel('', fontsize = 16) fig.autofmt_xdate()#繪制斜的日期标簽 plt.ylabel('temperates', fontsize = 16) plt.tick_params(axis = 'both', which = 'major', labelsize = 16) plt.show()

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import csv filename = 'sitka_weather_07-2014.csv' with open(filename) as f: reader = csv.reader(f)#打開文件,并存儲在列表中 header_row = next(reader)#返回文件的下一行 ###提取并讀取數據 #讀取每天的最高氣溫,以及讀取圖表中日期 from datetime import datetime dates, highs, lows = [],[],[] for row in reader: #使用int将字符串轉為數字，讓matplotlib能夠讀取 high = int(row[1]) highs.append(high) low = int(row[3]) lows.append(low) date = datetime.strptime(row[0], "%Y-%m-%d") dates.append(date) #繪制氣溫圖表 import matplotlib.pyplot as plt fig = plt.figure(dpi = 128, figsize = (10,6)) plt.plot(dates, highs, c = 'red', alpha = 0.5) plt.plot(dates, lows, c = 'blue', alpha = 0.5) plt.title('daily high temperates, july 2014',fontsize = 24) plt.xlabel('', fontsize = 16) fig.autofmt_xdate()#繪制斜的日期标簽 plt.ylabel('temperates', fontsize = 16) plt.fill_between(dates, highs, lows, facecolor = 'blue', alpha = 0.1)#fill_between填充顔色 plt.tick_params(axis = 'both', which = 'major', labelsize = 16) plt.show()