code: def execute(cls, ctx, op: "DataFrameValueCounts"):
      if op.stage != OperandStage.map:
          in_data = ctx[op.input.key]
          if op.convert_index_to_interval:
              result = in_data.value_counts(
                  normalize=False,
                  sort=op.sort,
                  ascending=op.ascending,
                  bins=op.bins,
                  dropna=op.dropna,
              )
              if op.normalize:
                  result /= in_data.shape[0]
          else:
              try:
                  result = in_data.value_counts(
                      normalize=op.normalize,
                      sort=op.sort,
                      ascending=op.ascending,
                      bins=op.bins,
                      dropna=op.dropna,
                  )
              except ValueError:
                  in_data = in_data.copy()
                  result = in_data.value_counts(
                      normalize=op.normalize,
                      sort=op.sort,
                      ascending=op.ascending,
                      bins=op.bins,
                      dropna=op.dropna,
                  )
      else:
          result = ctx[op.input.key]
          # set index name to None to keep consistency with pandas
          result.index.name = None
      if op.convert_index_to_interval:
          # convert CategoricalDtype which generated in `cut`
          # to IntervalDtype
          result.index = result.index.astype("interval")
      if op.nrows:
          result = result.head(op.nrows)
      ctx[op.outputs[0].key] = result
  
file_path: mars/mars/dataframe/base/value_counts.py
imports: import numpy
  import pandas
  from ...None import opcodes
  from ...core import OutputType, recursive_tile
  from ...core.operand import OperandStage
  from ...serialization.serializables import KeyField, BoolField, Int64Field, StringField
  from ...utils import has_unknown_shape, pd_release_version
  from ..core import Series
  from ..operands import DataFrameOperand, DataFrameOperandMixin
  from ..utils import build_series, parse_index
label_desc: Use image node_id 5 for calling the DataFrameValueCounts obj's underlying member method code with example usage: obj.execute(cls, ctx, op) without return types