code: def _simple_tables(tables, settings, pad_col=None, pad_index=None):
      simple_tables = []
      float_format = settings[0]["float_format"] if settings else "%.4f"
      if pad_col is None:
          pad_col = [0] * len(tables)
      if pad_index is None:
          pad_index = [0] * len(tables)
      for i, v in enumerate(tables):
          index = settings[i]["index"]
          header = settings[i]["header"]
          align = settings[i]["align"]
          simple_tables.append(
              _df_to_simpletable(
                  v,
                  align=align,
                  float_format=float_format,
                  header=header,
                  index=index,
                  pad_col=pad_col[i],
                  pad_index=pad_index[i],
              )
          )
      return simple_tables
  
imports: from statsmodels.compat.pandas import FUTURE_STACK
  from statsmodels.compat.python import lzip
  import datetime
  from functools import reduce
  import re
  import textwrap
  import numpy
  import pandas
  from .table import SimpleTable
  from .tableformatting import fmt_latex, fmt_txt
label_desc: Use image node_id 10 for calling a global function with example usage: _simple_tables(tables, settings, pad_col, pad_index) and returns: simple_tables