class_docstr: Performs DP aggregations.
class_docstr_tok: ["Performs","DP","aggregations","."]
code: def _drop_partitions_under_threshold(self, col):
      self._add_report_stage(
          "Drop partitions which have noised "
          "privacy_id_count less than threshold."
      )
      return self._backend.filter(
          col,
          lambda row: row[1].privacy_id_count != None,
          "Drop partitions under threshold",
      )
  
imports: import functools
  from typing import Any, Callable, Optional, Sequence, Tuple, Union
  import pipeline_dp
  from pipeline_dp import budget_accounting
  from pipeline_dp import combiners
  from pipeline_dp import contribution_bounders
  from pipeline_dp import dp_computations
  from pipeline_dp import partition_selection
  from pipeline_dp import pipeline_functions
  from pipeline_dp import report_generator
  from pipeline_dp import sampling_utils
  from pipeline_dp.dataset_histograms import computing_histograms
  from pipeline_dp.private_contribution_bounds import PrivateL0Calculator
label_desc: Use image node_id 22 for calling the DPEngine obj's underlying member method code with example usage: obj._drop_partitions_under_threshold(col) and returns: self