code: def generate_answerFrame(originalFrame, groupByCols, sortCols):
      """
      Given a dataset, a list of groupBy column names or indices and a list of sort column names or indices, this
      function will return a dataframe that is sorted according to the columns in sortCols and a new column is added
      to the frame that indicates the rank of the row within the groupBy columns sorted according to the sortCols.
  
      :param originalFrame:
      :param groupByCols:
      :param sortCols:
      :return:
      """
      sortDirs = [True] * len(sortCols)
      finalDir = [True] * len(groupByCols)
      finalDir.extend(sortDirs)
      finalSorts = []
      finalSorts.extend(groupByCols)
      finalSorts.extend(sortCols)
      answerFrame = originalFrame.sort(finalSorts, finalDir)
      newColName = "New_Rank_column"
      nrows = answerFrame.nrow
      newCol = [float("nan")] * nrows
  
      groupLen = len(groupByCols)
      sortLen = len(sortCols)
      startRank = 1
      keys = ["1"] * groupLen
      currKeys = ["1"] * groupLen
  
      sortFrames = answerFrame[sortCols]
      tempS = sortFrames.as_data_frame(use_pandas=False)
      groupFrames = answerFrame[groupByCols]
      tempG = groupFrames.as_data_frame(use_pandas=False)
  
      for row in range(1, nrows):
          noNAs = True
          if len(tempS[row]) > 0:
              for col in range(sortLen):
                  strR = tempS[row][col]
                  if len(strR) == 0:
                      noNAs = False
                      break  # move on to next row
          else:
              noNAs = False  # NAN in one column setting
  
          if noNAs:
              if len(tempG[row]) > 0:  # no NAN
                  for colg in range(
                      groupLen
                  ):  # read in key of current row
                      currKeys[colg] = tempG[row][colg]
              else:
                  currKeys = [""] * groupLen
  
              if not (currKeys == keys):
                  for colg in range(groupLen):  # copy over new key
                      keys[colg] = currKeys[colg]
                  startRank = 1
              newCol[row - 1] = startRank
              startRank = startRank + 1
  
      newColFrame = h2o.H2OFrame(newCol)
      newColFrame.set_names([newColName])
      answerFrame = answerFrame.cbind(newColFrame)
  
      return (
          answerFrame,
          finalDir,
          finalSorts,
          sortCols,
          sortDirs,
          newColName,
      )
  
imports: import sys, os
  import h2o
  from tests import pyunit_utils
  from random import randint
label_desc: Use image node_id 3 for calling a global function with example usage: generate_answerFrame(originalFrame, groupByCols, sortCols) and returns: answerFrame,  finalDir,  finalSorts,  sortCols,  sortDirs,  newColName