code: def get_sheet_data(
      self,
      sheet,
      file_rows_needed: int | None = None,
  ) -> list[list[Scalar]]:
      data: list[list[Scalar]] = []
      previous_row_number = -1
      # When sparse=True the rows can have different lengths and empty rows are
      # not returned. The cells are namedtuples of row, col, value (r, c, v).
      for row in sheet.rows(sparse=True):
          row_number = row[0].r
          converted_row = [self._convert_cell(cell) for cell in row]
          while converted_row and converted_row[-1] == "":
              # trim trailing empty elements
              converted_row.pop()
          if converted_row:
              data.extend([[]] * (row_number - previous_row_number - 1))
              data.append(converted_row)
              previous_row_number = row_number
          if (
              file_rows_needed is not None
              and len(data) >= file_rows_needed
          ):
              break
      if data:
          # extend rows to max_width
          max_width = max(len(data_row) for data_row in data)
          if min(len(data_row) for data_row in data) < max_width:
              empty_cell: list[Scalar] = [""]
              data = [
                  data_row + (max_width - len(data_row)) * empty_cell
                  for data_row in data
              ]
      return data
  
file_path: pandas/pandas/io/excel/_pyxlsb.py
imports: from __future__ import annotations
  from typing import TYPE_CHECKING
  from pandas.compat._optional import import_optional_dependency
  from pandas.util._decorators import doc
  from pandas.core.shared_docs import _shared_docs
  from pandas.io.excel._base import BaseExcelReader
label_desc: Use image node_id 8 for calling the PyxlsbReader obj's underlying member method code with example usage: obj.get_sheet_data(sheet, file_rows_needed) and returns: data