Python爬取股票信息，并实现可视化数据

import requests
url = 'https://xueqiu.com/service/v5/stock/screener/quote/list'
response = requests.get(url=url, params=params, headers=headers, cookies=cookies)
html_data = response.json()
#想要完整代码的同学请关注微信公众号：松鼠爱吃饼干
#发送信息‘股票’即可获取

解析数据

data_list = html_data['data']['list']
for i in data_list:
    dit = {}
    dit['股票代码'] = i['symbol']
    dit['股票名字'] = i['name']
    dit['当前价'] = i['current']
    dit['涨跌额'] = i['chg']
    dit['涨跌幅/%'] = i['percent']
    dit['年初至今/%'] = i['current_year_percent']
    dit['成交量'] = i['volume']
    dit['成交额'] = i['amount']
    dit['换手率/%'] = i['turnover_rate']
    dit['市盈率TTM'] = i['pe_ttm']
    dit['股息率/%'] = i['dividend_yield']
    dit['市值'] = i['market_capital']
    print(dit)

保存数据

import csv
f = open('股票数据.csv', mode='a', encoding='utf-8-sig', newline='')
csv_writer = csv.DictWriter(f, fieldnames=['股票代码', '股票名字', '当前价', '涨跌额', '涨跌幅/%', '年初至今/%', '成交量', '成交额', '换手率/%', '市盈率TTM', '股息率/%', '市值'])
csv_writer.writeheader()
csv_writer.writerow(dit)
f.close()

 

数据分析代码

c = (
    Bar()
        .add_xaxis(list(df2['股票名称'].values))
        .add_yaxis("股票成交量情况", list(df2['成交量'].values))
        .set_global_opts(
        title_opts=opts.TitleOpts(title="成交量图表 - Volume chart"),
        datazoom_opts=opts.DataZoomOpts(),
    )
        .render("data.html")
)