numpy+matplotlib+bs4的使用

import requests
from bs4 import BeautifulSoup
import numpy
import pandas
from matplotlib import pyplot


def getMessage(code, startdate, enddate):
    """获取网页内容组成数组返回"""
    url = "http://data.funds.hexun.com/outxml/detail/openfundnetvalue.aspx"
    data = dict(fundcode=code, startdate=startdate, enddate=enddate)
    header = {"Connection": "keep-alive",
              "Pragma": "no-cache",
              "Cache-Control": "no-cache",
              "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/87.0.4280.88 Safari/537.36",
              "Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.9",
              "Accept-Encoding": "gzip, deflate",
              "Accept-Language": ‘zh-CN‘}
    result = requests.get(url, data, headers=header).text
    soup = BeautifulSoup(result, ‘html.parser‘)
    print(soup.prettify())  # 爬取内容后格式输出

    hearder = ["日期", "单位净值", "历史净值", "总市值"]
    datas = soup.find_all(‘data‘)  # 查找data标签内容
    datalist = []
    for data in datas:
        # 此处需要为空验证，标签内容可能为空
        fld_enddate = data.find_all(‘fld_enddate‘)[0].contents[0] if data.find_all(‘fld_enddate‘)[
            0].contents else numpy.nan
        fld_unitnetvalue = data.find_all(‘fld_unitnetvalue‘)[0].contents[0] if data.find_all(‘fld_unitnetvalue‘)[
            0].contents else numpy.nan
        fld_netvalue = data.find_all(‘fld_netvalue‘)[0].contents[0] if data.find_all(‘fld_netvalue‘)[
            0].contents else numpy.nan
        fld_newprice = data.find_all(‘fld_newprice‘)[0].contents[0] if data.find_all(‘fld_newprice‘)[
            0].contents else numpy.nan
        d = [fld_enddate, fld_unitnetvalue, fld_netvalue, fld_newprice]
        datalist.append(d)
        data = numpy.array(datalist)  # 创建一个numpy对象
    datas = pandas.DataFrame()  # 创建一个DataFrame对象
    for col, col_name in enumerate(hearder):  # 表示生成一个enumerate数组对应
        datas[col_name] = data[:, col]
    print(datas)
    return datas


def createMap(data):
    from matplotlib.font_manager import FontProperties
    font_set = FontProperties(fname=r"c:\windows\fonts\simsun.ttc", size=12)  # 解决图像中文乱码问题
    # 设置pyplot相关属性
    pyplot.title("历史净值变化", fontproperties=font_set)
    pyplot.xlabel("日期", fontproperties=font_set)
    pyplot.ylabel("单位净值", fontproperties=font_set)
    pyplot.plot(pandas.to_datetime(data[‘日期‘], format=‘%Y/%m/%d‘), data["单位净值"].astype(float))
    pyplot.show()


if __name__ == ‘__main__‘:
    reuslt = getMessage(code="159915", startdate=‘2019-11-21‘, enddate=‘2019-12-08‘)
    createMap(reuslt)