学习笔记(40):21天通关Python（仅视频课）-案例实操：使用Pygal分析GDP数据

Hello-Rock

于 2020-04-07 20:19:26 发布

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分类专栏：研发管理文章标签： python 移动开发编程语言 Python 网络编程

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import urllib.request
import json, pygal

# provincenamelist, citynamelist, specnamelist, shoppingtimelist, nakedprice = [], [], [], [], []
namelist, pricelist = [], []
# url = 'https://jiage.autohome.com.cn/price/getBuyUserBySeriesId?seriesId=4744&cityid=0'
url = 'https://jiage.autohome.com.cn/getSpec?seriesId=4744'
request = urllib.request.Request(url)
request.add_header('User-Agent', 'Mozilla/5.0')
carjson = urllib.request.urlopen(request).read().decode('utf-8')
cardata = json.loads(carjson)
for item in cardata[0]['specitems']:
    print(item)
    namelist.append(item['name'])
    pricelist.append(float(item['maxpriceStr']))

dm = pygal.Bar()
dm.add('价格', pricelist)
dm.title = '乱乱抓取数据'
dm.x_labels = namelist
dm.x_title = '型号'
dm.x_label_rotation =45
dm.y_title = '价格（万）'

dm.legend_at_bottom = True
dm.render_to_file('test.66.svg')