class_docstr: Drop rows
  
  Parameters
  ----------
  if_nas
      If True, deletes all rows where there is at leat one NA
  query
      Drops all rows matching the query (passed via pandas.query)
class_docstr_tok: ["Drop","rows","Parameters","--","--","--","--","--","if_nas","If","True",",","deletes","all","rows","where","there","is","at","leat","one","NA","query","Drops","all","rows","matching","the","query","(","passed","via","pandas.query",")"]
code: def transform_summary(self, df, to_delete):
      n = len(to_delete)
      return "Deleted {:,} rows ({:.1%})".format(n, n / len(df))
  
imports: from copy import copy, deepcopy
  import abc
  import inspect
  import importlib
  import itertools
  from collections.abc import Mapping
  import pandas
  from decorator import decorator
  from sklearn_evaluation.exceptions import DataSelectorError
  from sklearn_evaluation.util import map_parameters_in_fn_call
  from sklearn_evaluation.table import Table
label_desc: Use image node_id 3 for calling the RowDrop obj's underlying member method code with example usage: obj.transform_summary(df, to_delete) and returns: str