Python 项目一 数据可视化 02

一、安装 Pygal

找到 Python/scripts/

python -m pip install --user pygal

二、下载数据

2.1 下载可用数据并用图表展示

import csv
from matplotlib import pyplot as plt
# 添加日期
from datetime import datetime

filename = 'sitka_weather_2014.csv'
f = open(filename)

从文件中获取最高气温和日期

with open(filename) as f:
    reader = csv.reader(f)
    header_row = next(reader)
    
    获取最高气温和日期
    dates, highs = [], []
    for row in reader:
        current_date = datetime.strptime(row[0], "%Y-%m-%d")
        dates.append(current_date)
        high = int(row[1])
        highs.append(high)
    print(highs)
fig = plt.figure(dpi=128, figsize=(10, 6))
plt