python编程从入门到实践16.1下载数据，csv格式，生成天气图表

https://blog.csdn.net/u014636245/article/details/82804251

pip install pygal

import csv
from matplotlib import pyplot as plt
from datetime import datetime
# filename = 'sitka_weather_2014.csv'
filename = 'death_valley_2014.csv'
with open(filename) as f:# ''' 分析CSV文件头,不太直观'''# reader = csv.reader(f)# header_row = next(reader) # print(header_row)# ''' 打印文件头，显示直观'''# reader = csv.reader(f)# header_row = next(reader)# for index,column_header in enumerate(header_row):# 	print(index,column_header)# ''' 打印单个数据，列数据'''# reader = csv.reader(f)# highs = []# for row in reader:# 	highs.append(row[1])# print(highs)''' 打印单个数据，列数据，并且跳过首行'''reader = csv.reader(f)header_next_row = next(reader) dates,highs,lows = [],[],[] for row in reader: try:current_date = datetime.strptime(row[0],'%Y-%m-%d') high = int(row[1]) low = int(row[2]) except ValueError:print(current_date,"Error")else: dates.append(current_date) highs.append(high) lows.append(low) fig = plt.figure(dpi = 256,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 = 1)plt.title("title",fontsize = 24)plt.xlabel("",fontsize = 8)fig.autofmt_xdate()plt.ylabel("F",fontsize = 16) plt.tick_params(axis = 'both',which='major',labelsize = 8)plt.show() 

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