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#coding=utf-8 import csv from datetime import datetime from matplotlib import pyplot as plt # 從檔案中獲取日期和最高氣溫 filename = 'sitka_weather_2014.csv' with open(filename) as f: reader = csv.reader(f) header_row = next(reader) # 列印檔案頭及其位置 # print header_row # for index, column_header in enumerate(header_row): # print index, column_header dates, highs, lows = [], [], [] for row in reader: current_date = datetime.strptime(row[0], "%Y-%m-%d") dates.append(current_date) high = int(row[1]) highs.append(high) low = int(row[3]) lows.append(low) # 根據資料繪製圖形 fig = plt.figure(dpi=96, figsize=(10, 6)) 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) # 設定圖形的格式 plt.title("Daily high and low temperatures - 2014", fontsize=24) plt.xlabel('', fontsize=16) fig.autofmt_xdate() plt.ylabel("Temerature (F)", fontsize=16) plt.tick_params(axis='both', which='major', labelsize=16) plt.show()