class_docstr: A DataSeries of :class:`pyalgotrade.bar.Bar` instances.
  
  :param maxLen: The maximum number of values to hold.
      Once a bounded length is full, when new items are added, a corresponding number of items are discarded from the
      opposite end. If None then dataseries.DEFAULT_MAX_LEN is used.
  :type maxLen: int.
class_docstr_tok: ["A","DataSeries","of",":","class",":","`","pyalgotrade.bar.Bar","`","instances",".",":","param","maxLen",":","The","maximum","number","of","values","to","hold",".","Once","a","bounded","length","is","full",",","when","new","items","are","added",",","a","corresponding","number","of","items","are","discarded","from","the","opposite","end",".","If","None","then","dataseries.DEFAULT_MAX_LEN","is","used",".",":","type","maxLen",":","int","."]
docstr: Returns a :class:`pyalgotrade.dataseries.DataSeries` with the close prices.
docstr_tok: ["Returns","a",":","class",":","`","pyalgotrade.dataseries.DataSeries","`","with","the","close","prices","."]
code: def getCloseDataSeries(self):
      """Returns a :class:`pyalgotrade.dataseries.DataSeries` with the close prices."""
      return self.__closeDS
  
file_path: pyalgotrade/pyalgotrade/dataseries/bards.py
imports: from pyalgotrade import dataseries
  import six
label_desc: Use image node_id 7 for calling the BarDataSeries obj's underlying member method code with example usage: obj.getCloseDataSeries() and returns: self