嗨！大家好，这是魔王~
雪球，聪明的投资者在这里——一个有4300万投资者使用的投资社区，
上海、深圳、香港、美国实时行情信息，股票基金、债券免费资讯，投资专家实战交流。
请求Pip安装请求re #正则表达式匹配提取的数据JSONPANDAS Pyecharts
Python 3.8解释器Pycharm 2021.2版本
#1F1F1F;">发送请求 访问网站获取数据解析数据(提取数据)保存数据做柱状图 简单的可视化
# 1. 发送请求 访问网站headers = { 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/97.0.4692.71 Safari/537.36'}url = 'https://xueqiu.com/service/v5/stock/screener/quote/list?page=1&size=30&order=desc&order_by=amount&exchange=CN&market=CN&type=sha&_=1641730868838'response = requests.get(url=url, headers=headers)# 2. 获取数据json_data = response.json() # 3. 数据解析(筛选数据)data_list = json_data['data']['list']for data in data_list: data1 = data['symbol'] data2 = data['name'] data3 = data['current'] data4 = data['chg'] data5 = data['percent'] data6 = data['current_year_percent'] data7 = data['volume'] data8 = data['amount'] data9 = data['turnover_rate'] data10 = data['pe_ttm'] data11 = data['dividend_yield'] data12 = data['market_capital'] print(data1, data2, data3, data4, data5, data6, data7, data8, data9, data10, data11, data12) data_dict = { '股票代码': data1, '股票名称': data2, '当前价': data3, '涨跌额': data4, '涨跌幅': data5, '年初至今': data6, '成交量': data7, '成交额': data8, '换手率': data9, '市盈率(TTM)': data10, '股息率': data11, '市值': data12, } csv_write.writerow(data_dict)4. 保存地址file = open('data2.csv', mode='a', encoding='utf-8', newline='')csv_write = csv.DictWriter(file, fieldnames=['股票代码','股票名称','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_write.writeheader()
data_df = pd.read_csv('data2.csv')df = data_df.dropna()df1 = df[['股票名称', '成交量']]df2 = df1.iloc[:20]print(df2['股票名称'].values)print(df2['成交量'].values)c = ( Bar() .add_xaxis(df2['股票名称'].values.tolist()) .add_yaxis("股票成交量情况", df2['成交量'].values.tolist()) .set_global_opts( title_opts=opts.TitleOpts(title="成交量图表 - Volume chart"), datazoom_opts=opts.DataZoomOpts(), ) .render("data.html"))print('数据可视化结果完成,请在当前目录下查找打开 data.html 文件!')
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