class_docstr: A pandas ExtensionArray for NumPy data.
  
  This is mostly for internal compatibility, and is not especially
  useful on its own.
  
  Parameters
  ----------
  values : ndarray
      The NumPy ndarray to wrap. Must be 1-dimensional.
  copy : bool, default False
      Whether to copy `values`.
  
  Attributes
  ----------
  None
  
  Methods
  -------
  None
class_docstr_tok: ["A","pandas","ExtensionArray","for","NumPy","data",".","This","is","mostly","for","internal","compatibility",",","and","is","not","especially","useful","on","its","own",".","Parameters","--","--","--","--","--","values",":","ndarray","The","NumPy","ndarray","to","wrap",".","Must","be","1-dimensional",".","copy",":","bool",",","default","False","Whether","to","copy","`","values","`",".","Attributes","--","--","--","--","--","None","Methods","--","--","--","-","None"]
code: def mean(
      self,
      *,
      axis: AxisInt | None = None,
      dtype: NpDtype | None = None,
      out=None,
      keepdims: bool = False,
      skipna: bool = True,
  ):
      nv.validate_mean(
          (), {"dtype": dtype, "out": out, "keepdims": keepdims}
      )
      result = nanops.nanmean(self._ndarray, axis=axis, skipna=skipna)
      return self._wrap_reduction_result(axis, result)
  
imports: from __future__ import annotations
  import numpy
  from pandas._libs import lib
  from pandas._libs.tslibs import get_unit_from_dtype, is_supported_unit
  from pandas._typing import AxisInt, Dtype, NpDtype, Scalar, npt
  from pandas.compat.numpy import function
  from pandas.core.dtypes.astype import astype_array
  from pandas.core.dtypes.cast import construct_1d_object_array_from_listlike
  from pandas.core.dtypes.common import is_dtype_equal, pandas_dtype
  from pandas.core.dtypes.dtypes import PandasDtype
  from pandas.core.dtypes.missing import isna
  from pandas.core import arraylike, nanops, ops
  from pandas.core.arraylike import OpsMixin
  from pandas.core.arrays._mixins import NDArrayBackedExtensionArray
  from pandas.core.construction import ensure_wrapped_if_datetimelike
  from pandas.core.strings.object_array import ObjectStringArrayMixin
label_desc: Use image node_id 17 for calling the PandasArray obj's underlying member method code with example usage: obj.mean() and returns: self