简介：个人在学习数据分析中的一些小实例分享，数据集在我的资源里，请自行下载

import csv
import matplotlib.pyplot as plt
from datetime import datetime

# 解决中文显示问题
plt.style.use('seaborn')
plt.rcParams['font.sans-serif'] = ['KaiTi']  # 指定默认字体
plt.rcParams['axes.unicode_minus'] = False  # 解决保存图像是负号'-'显示为方块的问题

filename = 'data/sitka_weather_2018_simple.csv'
with open(filename) as f:
    reader = csv.reader(f)	# 创建一个与该文件相关联的阅读器对象
    header_row = next(reader)	# 读取文件头

    dates, highs, lows = [], [], []
    for row in reader:
    	# 转换日期格式
        current_date = datetime.strptime(row[2], '%Y-%m-%d')
        high = int(row[5])
        low = int(row[6])
        dates.append(current_date)
        highs.append(high)
        lows.append(low)

    fig, ax = plt.subplots()
    ax.plot(dates, highs, c='red', alpha=0.5)
    ax.plot(dates, lows, c='blue', alpha=0.5)
    ax.fill_between(dates, highs, lows, facecolor='blue', alpha=0.1)

    ax.set_title('2018年每日最高温度', fontsize=24)
    ax.set_xlabel('', fontsize=16)
    fig.autofmt_xdate()
    ax.set_ylabel('温度(F)', fontsize=16)
    ax.tick_params(axis='both', which='major', labelsize=16)

    plt.show()

效果图：