code: def get_daily_10yr_treasury_data():
      """Download daily 10 year treasury rates from the Federal Reserve and
      return a pandas.Series."""
      url = (
          "https://www.federalreserve.gov/datadownload/Output.aspx?rel=H15"
          "&series=bcb44e57fb57efbe90002369321bfb3f&lastObs=&from=&to="
          "&filetype=csv&label=include&layout=seriescolumn"
      )
      return pd.read_csv(
          url,
          header=5,
          index_col=0,
          names=["DATE", "BC_10YEAR"],
          parse_dates=True,
          converters={1: dataconverter},
          squeeze=True,
      )
  
file_path: catalyst/catalyst/data/treasuries.py
imports: from operator import itemgetter
  import re
  import numpy
  import pandas
label_desc: Use image node_id 5 for calling a global function with example usage: get_daily_10yr_treasury_data() and returns: pd