docstr: Plot a metric for all the checkpoints in this list of
  experiments. If no metric is specified, defaults to the
  shared primary metric.
docstr_tok: ["Plot","a","metric","for","all","the","checkpoints","in","this","list","of","experiments",".","If","no","metric","is","specified",",","defaults","to","the","shared","primary","metric","."]
code: def plot(self, metric: Optional[str] = None, logy=False):
      """
      Plot a metric for all the checkpoints in this list of
      experiments. If no metric is specified, defaults to the
      shared primary metric.
      """
      import matplotlib.pyplot as plt  # type: ignore
  
      if metric is None:
          metric = self.primary_metric()
  
      plotted_label = plt.axes().yaxis.get_label().get_text() or metric
  
      if metric != plotted_label:
          plt.figure()
  
      for exp in self:
          exp.plot(metric, plot_only=True)
  
      plt.legend(bbox_to_anchor=(1, 1))
      plt.xlabel("step")
      plt.ylabel(metric)
  
      if logy:
          plt.yscale("log")
  
imports: import datetime
  import getpass
  import html
  import json
  import math
  import os
  import shlex
  import sys
  from typing import TYPE_CHECKING, Any, Callable, Dict, List, MutableSequence, Optional, Tuple
  from .None import console
  from .checkpoint import Checkpoint, CheckpointList, PrimaryMetric
  from .metadata import parse_rfc3339, rfc3339_datetime
  from .packages import get_imported_packages
  from .system import get_python_version
  from .validate import check_path
  from .version import version
label_desc: Use image node_id 2 for calling the ExperimentList obj's underlying member method code with example usage: obj.plot(metric, logy) without return types