code: def load_from_yahoo(
      indexes=None, stocks=None, start=None, end=None, adjusted=True
  ):
      """
      Loads price data from Yahoo into a dataframe for each of the indicated
      assets.  By default, 'price' is taken from Yahoo's 'Adjusted Close',
      which removes the impact of splits and dividends. If the argument
      'adjusted' is False, then the non-adjusted 'close' field is used instead.
  
      :param indexes: Financial indexes to load.
      :type indexes: dict
      :param stocks: Stock closing prices to load.
      :type stocks: list
      :param start: Retrieve prices from start date on.
      :type start: datetime
      :param end: Retrieve prices until end date.
      :type end: datetime
      :param adjusted: Adjust the price for splits and dividends.
      :type adjusted: bool
  
      """
      data = _load_raw_yahoo_data(indexes, stocks, start, end)
      if adjusted:
          close_key = "Adj Close"
      else:
          close_key = "Close"
      df = pd.DataFrame(
          {key: d[close_key] for key, d in iteritems(data)}
      )
      df.index = df.index.tz_localize(pytz.utc)
      return df
  
imports: import os
  from collections import OrderedDict
  import logbook
  import pandas
  import pytz
  from pandas_datareader.data import DataReader
  from six import iteritems
  from six.moves.urllib_error import HTTPError
  from catalyst.constants import LOG_LEVEL
  from catalyst.utils.calendars import get_calendar
  from .None import treasuries, treasuries_can
  from .benchmarks import get_benchmark_returns
  from ..utils.deprecate import deprecated
  from ..utils.paths import cache_root, data_root
label_desc: Use image node_id 13 for calling a global function with example usage: load_from_yahoo(indexes, stocks, start, end, adjusted) and returns: df