code: def load_13f(url):
      
  
      resp = requests.get(url).text
      data = xmltodict.parse(resp)["informationTable"]["infoTable"]
      df = pd.DataFrame(data).drop(
          ["shrsOrPrnAmt", "investmentDiscretion"], axis=1
      )
      df["votingAuthority"] = df["votingAuthority"].apply(lambda d: d["Sole"])
      df.loc[:, "value"] = pd.to_numeric(df["value"], errors="coerce")
      df.loc[:, "votingAuthority"] = pd.to_numeric(
          df["votingAuthority"], errors="coerce"
      )
      return df
docs: Load and parse an SEC.gov-hosted 13F XML file to Pandas DataFrame.
  
      Provide the URL to the raw .xml form13fInfoTable.  (See example below.)
  
      Parameters
      ----------
      url : str
          Link to .xml file.
  
      Returns
      -------
      df : pd.DataFrame
          Holdings snapshot.
  
      Example
      -------
      # Third Point LLC June 2017 13F
      >>> from pyfinance import datasets
      >>> url = 'https://www.sec.gov/Archives/edgar/data/1040273/000108514617001787/form13fInfoTable.xml'  # noqa
      >>> df = datasets.load_13f(url=url)
  
      .. _U.S. SEC: Accessing EDGAR Data:
         https://www.sec.gov/edgar/searchedgar/accessing-edgar-data.htm