docstr: Iterate through the lines and remove any that are
  either empty or contain only one whitespace value
  
  Parameters
  ----------
  lines : list of list of Scalars
      The array of lines that we are to filter.
  
  Returns
  -------
  filtered_lines : list of list of Scalars
      The same array of lines with the "empty" ones removed.
docstr_tok: ["Iterate","through","the","lines","and","remove","any","that","are","either","empty","or","contain","only","one","whitespace","value","Parameters","--","--","--","--","--","lines",":","list","of","list","of","Scalars","The","array","of","lines","that","we","are","to","filter",".","Returns","--","--","--","-","filtered_lines",":","list","of","list","of","Scalars","The","same","array","of","lines","with","the","``","empty","''","ones","removed","."]
code: def _remove_empty_lines(
      self, lines: list[list[Scalar]]
  ) -> list[list[Scalar]]:
      """
      Iterate through the lines and remove any that are
      either empty or contain only one whitespace value
  
      Parameters
      ----------
      lines : list of list of Scalars
          The array of lines that we are to filter.
  
      Returns
      -------
      filtered_lines : list of list of Scalars
          The same array of lines with the "empty" ones removed.
      """
      ret = []
      for line in lines:
          # Remove empty lines and lines with only one whitespace value
          if (
              len(line) > 1
              or len(line) == 1
              and (not isinstance(line[0], str) or line[0].strip())
          ):
              ret.append(line)
      return ret
  
imports: from __future__ import annotations
  from collections import abc, defaultdict
  import csv
  from io import StringIO
  import re
  import sys
  from typing import IO, TYPE_CHECKING, DefaultDict, Hashable, Iterator, List, Literal, Mapping, Sequence, cast
  import numpy
  from pandas._libs import lib
  from pandas._typing import ArrayLike, ReadCsvBuffer, Scalar
  from pandas.errors import EmptyDataError, ParserError
  from pandas.core.dtypes.common import is_integer
  from pandas.core.dtypes.inference import is_dict_like
  from pandas.io.common import dedup_names, is_potential_multi_index
  from pandas.io.parsers.base_parser import ParserBase, parser_defaults
label_desc: Use image node_id 16 for calling the PythonParser obj's underlying member method code with example usage: obj._remove_empty_lines(lines) and returns: ret