docstr: Sets the size of each x axis bin. Default behavior: If `nbinsx`
  is 0 or omitted, we choose a nice round bin size such that the
  number of bins is about the same as the typical number of
  samples in each bin. If `nbinsx` is provided, we choose a nice
  round bin size giving no more than that many bins. For date
  data, use milliseconds or "M<n>" for months, as in
  `axis.dtick`. For category data, the number of categories to
  bin together (always defaults to 1).
  
  The 'size' property accepts values of any type
  
  Returns
  -------
  Any
code: def size(self):
      """
      Sets the size of each x axis bin. Default behavior: If `nbinsx`
      is 0 or omitted, we choose a nice round bin size such that the
      number of bins is about the same as the typical number of
      samples in each bin. If `nbinsx` is provided, we choose a nice
      round bin size giving no more than that many bins. For date
      data, use milliseconds or "M<n>" for months, as in
      `axis.dtick`. For category data, the number of categories to
      bin together (always defaults to 1).
  
      The 'size' property accepts values of any type
  
      Returns
      -------
      Any
      """
      return self["size"]
  
file_path: catboost/contrib/python/plotly/py2/plotly/graph_objs/histogram2d/_xbins.py
imports: from plotly.basedatatypes import BaseTraceHierarchyType
  import copy
label_desc: Use image node_id 3 for calling the XBins obj's underlying member method code with example usage: obj.size() and returns: self