import csv

from matplotlib import pyplot as plt

filename = 'sitka_weather_07-2014.csv'

with open(filename) as f:

    #从文件获取数据

    reader = csv.reader(f)

    #获取数据的第一行也就是数据字段

    header_row = next(reader)

    #print(header_row)

    #遍历读取到的第一行数据使用enumerate函数来获取每个元素的索引和值

    # for index ,column_header in enumerate(header_row):

    #     print(index,column_header)

    highs=[]

    #从文件获取到最高气温

    for row in reader:

        highs.append(int(row[1]))

    print(highs)

    fig = plt.figure(dpi=128, figsize=(10, 6))

    plt.plot(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)

    title = "Daily high and low temperatures CA"

    plt.title(title, fontsize=20)

    plt.xlabel('', fontsize=16)

    fig.autofmt_xdate()

    plt.ylabel("Temperature (F)", fontsize=16)

    plt.tick_params(axis='both', which='major', labelsize=16)

    plt.show()

filename = 'sitka_weather_07-2014.csv'

with open(filename) as f:

    #从文件获取数据

    reader = csv.reader(f)

    #获取数据的第一行也就是数据字段

    header_row = next(reader)

    #print(header_row)

    #遍历读取到的第一行数据使用enumerate函数来获取每个元素的索引和值

    # for index ,column_header in enumerate(header_row):

    #     print(index,column_header)

    highs,dates=[],[]

    #从文件获取到最高气温

    for row in reader:

        #从文件获取日期

        current_date=datetime.strptime(row[0],"%Y-%m-%d")

        dates.append(current_date)

        highs.append(int(row[1]))

    print(highs,dates)

    fig = plt.figure(dpi=128, figsize=(5, 4))

    #添加日期

    plt.plot(dates,highs, c='red', alpha=0.5)

import csv

from datetime import datetime

from matplotlib import pyplot as plt

filename = 'death_valley_2014.csv'

with open(filename) as f:

    reader = csv.reader(f)

    header_row = next(reader)

    dates, highs, lows = [], [], []

    for row in reader:

        #判断是否有时间信息

        try:

            current_date = datetime.strptime(row[0], "%Y-%m-%d")

            high = int(row[1])

            #读取最低温数据

            low = int(row[3])

        except ValueError:

            print(current_date, 'missing data')

        else:

            dates.append(current_date)

            highs.append(high)

            lows.append(low)

#绘制图表.

fig = plt.figure(dpi=128, figsize=(10, 9))

plt.plot(dates, highs, c='red', alpha=0.5)

plt.plot(dates, lows, c='blue', alpha=0.5)

#facecolor指定了填充区域的颜色

plt.fill_between(dates, highs, lows, facecolor='blue', alpha=0.1)

title = "Daily high and low temperatures  CA"

plt.title(title, fontsize=10)

plt.xlabel('', fontsize=6)

fig.autofmt_xdate()

plt.ylabel("Temperature (F)", fontsize=6)

plt.tick_params(axis='both', which='major', labelsize=6)

plt.show()