class_docstr: Apple Stock
  
  This dataset concerns the daily close price and volume of Apple stock around the year 2000. The dataset is sampled every 3 observations to reduce the length of the time series.
  This dataset is retrieved from Yahoo Finance.
  
  References
  ----------
  [^1]: https://finance.yahoo.com/quote/AAPL/history?period1=850348800&period2=1084579200&interval=1d&filter=history&frequency=1d
code: def __iter__(self):
      return stream.iter_csv(
          self.path,
          target=[
              "Open",
              "High",
              "Low",
              "Close",
              "Adj Close",
              "Volume",
          ],
          converters={
              "Open": float,
              "High": float,
              "Low": float,
              "Close": float,
              "Adj Close": float,
              "Volume": float,
          },
          parse_dates={"Date": "%Y-%m-%d"},
      )
  
imports: from __future__ import annotations
  from river import datasets, stream
  from .base import ChangePointFileDataset
label_desc: Use image node_id 2 for calling the Apple obj's underlying member method code with example usage: obj.__iter__() and returns: stream