class_docstr: Bitcoin Market Price
  
  This is a regression task, where the goal is to predict the average USD market price across
  major bitcoin exchanges. This data was collected from the official Blockchain website. There
  is only one feature given, the day of exchange, which is in increments of three. The first
  500 lines have been removed because they are not interesting.
  
  References
  ----------
  [^1]: https://www.blockchain.com/fr/explorer/charts/market-price?timespan=all
code: def __iter__(self):
      return stream.iter_csv(
          self.path,
          target="price",
          converters={
              "price": 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 Bitcoin obj's underlying member method code with example usage: obj.__iter__() and returns: stream