code: def irregular(timestamps, sc):
      
      dtmodule = sc._jvm.com.cloudera.sparkts.__getattr__('DateTimeIndex$').__getattr__('MODULE$')
      arr = sc._gateway.new_array(sc._jvm.long, len(timestamps))
      for i in xrange(len(timestamps)):
          arr[i] = datetime_to_nanos(timestamps[i])
      return DateTimeIndex(dtmodule.irregular(arr))
docs: Instantiates an irregular DateTimeIndex.
      
      Parameters
      ----------
          timestamps : a Pandas DateTimeIndex, or an array of strings, longs (nanos from epoch), Pandas
              Timestamps
          sc : SparkContext