docstr: Cell values. `values[m][n]` represents the value of the `n`th
  point in column `m`, therefore the `values[m]` vector length
  for all columns must be the same (longer vectors will be
  truncated). Each value must be a finite number or a string.
  
  The 'values' property is an array that may be specified as a tuple,
  list, numpy array, or pandas Series
  
  Returns
  -------
  numpy.ndarray
docstr_tok: ["Cell","values",".","`","values","[","m","]","[","n","]","`","represents","the","value","of","the","`","n","`","th","point","in","column","`","m","`",",","therefore","the","`","values","[","m","]","`","vector","length","for","all","columns","must","be","the","same","(","longer","vectors","will","be","truncated",")",".","Each","value","must","be","a","finite","number","or","a","string",".","The","'values","'","property","is","an","array","that","may","be","specified","as","a","tuple",",","list",",","numpy","array",",","or","pandas","Series","Returns","--","--","--","-","numpy.ndarray"]
code: def values(self):
      """
      Cell values. `values[m][n]` represents the value of the `n`th
      point in column `m`, therefore the `values[m]` vector length
      for all columns must be the same (longer vectors will be
      truncated). Each value must be a finite number or a string.
  
      The 'values' property is an array that may be specified as a tuple,
      list, numpy array, or pandas Series
  
      Returns
      -------
      numpy.ndarray
      """
      return self["values"]
  
imports: from plotly.basedatatypes import BaseTraceHierarchyType
  import copy
label_desc: Use image node_id 25 for calling the Cells obj's underlying member method code with example usage: obj.values() and returns: self