class_docstr: A Pandas ExtensionDtype for NumPy dtypes.
  
  .. versionadded:: 0.24.0
  
  This is mostly for internal compatibility, and is not especially
  useful on its own.
  
  Parameters
  ----------
  dtype : numpy.dtype
class_docstr_tok: ["A","Pandas","ExtensionDtype","for","NumPy","dtypes",".","..","versionadded",":",":","0.24.0","This","is","mostly","for","internal","compatibility",",","and","is","not","especially","useful","on","its","own",".","Parameters","--","--","--","--","--","dtype",":","numpy.dtype"]
code: def _is_numeric(self):
      # exclude object, str, unicode, void.
      return self.kind in set("biufc")
  
imports: import numbers
  import numpy
  from pandas._libs import lib
  from pandas.compat.numpy import function
  from pandas.util._validators import validate_fillna_kwargs
  from pandas.core.dtypes.dtypes import ExtensionDtype
  from pandas.core.dtypes.generic import ABCIndexClass, ABCSeries
  from pandas.core.dtypes.inference import is_array_like, is_list_like
  from pandas import compat
  from pandas.core import nanops
  from pandas.core.missing import backfill_1d, pad_1d
  from .base import ExtensionArray, ExtensionOpsMixin
label_desc: Use image node_id 6 for calling the PandasDtype obj's underlying member method code with example usage: obj._is_numeric() and returns: unknown