code: def _ensure_numeric(x):
      if isinstance(x, np.ndarray):
          if is_integer_dtype(x) or is_bool_dtype(x):
              x = x.astype(np.float64)
          elif is_object_dtype(x):
              try:
                  x = x.astype(np.complex128)
              except (TypeError, ValueError):
                  try:
                      x = x.astype(np.float64)
                  except ValueError as err:
                      # GH#29941 we get here with object arrays containing strs
                      raise TypeError(
                          f"Could not convert {x} to numeric"
                      ) from err
              else:
                  if not np.any(np.imag(x)):
                      x = x.real
      elif not (is_float(x) or is_integer(x) or is_complex(x)):
          try:
              x = float(x)
          except (TypeError, ValueError):
              # e.g. "1+1j" or "foo"
              try:
                  x = complex(x)
              except ValueError as err:
                  # e.g. "foo"
                  raise TypeError(
                      f"Could not convert {x} to numeric"
                  ) from err
      return x
  
imports: from __future__ import annotations
  import functools
  import itertools
  import operator
  from typing import Any, Callable, cast
  import warnings
  import numpy
  from pandas._config import get_option
  from pandas._libs import NaT, NaTType, iNaT, lib
  from pandas._typing import ArrayLike, AxisInt, CorrelationMethod, Dtype, DtypeObj, F, Scalar, Shape, npt
  from pandas.compat._optional import import_optional_dependency
  from pandas.util._exceptions import find_stack_level
  from pandas.core.dtypes.common import is_any_int_dtype, is_bool_dtype, is_complex, is_datetime64_any_dtype, is_float, is_float_dtype, is_integer, is_integer_dtype, is_numeric_dtype, is_object_dtype, is_scalar, is_timedelta64_dtype, needs_i8_conversion, pandas_dtype
  from pandas.core.dtypes.dtypes import PeriodDtype
  from pandas.core.dtypes.missing import isna, na_value_for_dtype, notna
  from pandas.core.construction import extract_array
label_desc: Use image node_id 37 for calling a global function with example usage: _ensure_numeric(x) and returns: x