code: def _nodata(self):
      d = []
      # _=copy.deepcopy(self)
      for _ in self:
          d.append(copy.deepcopy(_))
      for _ in d:
          for k in list(_.keys()):
              if k in (
                  "x",
                  "y",
                  "open",
                  "close",
                  "high",
                  "low",
                  "index",
                  "volume",
                  "line",
                  "marker",
              ):
                  try:
                      _[k] = []
                  except:
                      _[k] = {}
      return d
  
imports: import copy
  import numpy
  import pandas
  import plotly.offline
  import plotly.figure_factory
  from plotly.graph_objs import Figure, Scatter, Line
  from plotly.subplots import make_subplots
  from .None import themes
  from .None import auth, ta
  from .colors import normalize, to_rgba
  from .utils import check_kwargs, deep_update, dict_replace_keyword, kwargs_from_keyword, merge_dict, is_list, make_list
label_desc: Use image node_id 29 for calling a global function with example usage: _nodata() and returns: d