code: def values_are_pandas_numbers(values: List[str]):
      """Returns True if values would be read by pandas as dtype float or int."""
      for v in values:
          try:
              float(v)
          except ValueError:
              return False
      return True
  
imports: import logging
  import re
  import unicodedata
  from collections import Counter
  from dataclasses import dataclass
  from enum import Enum
  from typing import Dict, List, Optional, Set, Union
  import numpy
  from dateutil.parser import parse
  from ludwig.constants import PADDING_SYMBOL, START_SYMBOL, STOP_SYMBOL, UNKNOWN_SYMBOL
  from ludwig.data.dataframe.base import DataFrameEngine
  from ludwig.data.dataframe.pandas import PANDAS
  from ludwig.utils.fs_utils import open_file
  from ludwig.utils.math_utils import int_type
  from ludwig.utils.tokenizers import get_tokenizer_from_registry
  from ludwig.utils.types import Series
label_desc: Use image node_id 5 for calling a global function with example usage: values_are_pandas_numbers(values) and returns: True, False