python讀csv格式文檔並用matplotlib繪製圖表

標籤：font   col   文檔   size   print   rom   plt   str   ade   

• import csvfrom matplotlib import pyplot as pltfrom datetime import datetimefileName = ‘sitka_weather_07-2014.csv‘with open(fileName) as f:    reader = csv.reader(f)    header_row = next(reader)    # print(header_row)    # for index, column_header in enumerate(header_row):  # 在同時需要index和value值的時候可以使用 enumerate    #     # print(index, column_header)    dates,hights = [], []    for row in reader:        current_date = datetime.strptime(row[0], ‘%Y-%m-%d‘)        dates.append(current_date)        hights.append(int(row[1]))    print(hights)    fig = plt.figure(dpi=128, figsize=(10, 6))    plt.plot(dates, hights, c=‘red‘)    # 設定圖形的格式    plt.title("Dialy high temperatures,July 2014", fontsize=24)    plt.xlabel(‘‘, fontsize=16)    fig.autofmt_xdate()    plt.ylabel("Temperature (F)", fontsize=16)    plt.tick_params(axis=‘both‘, which=‘major‘, labelsize=16)    plt.savefig("temperature.png", bbox_inches=‘tight‘)    plt.show()

  　　 運行結果

• temperature.png

python讀csv格式文檔並用matplotlib繪製圖表