code: def pandas_validate(func_name: str):
      """
      Call the numpydoc validation, and add the errors specific to pandas.
  
      Parameters
      ----------
      func_name : str
          Name of the object of the docstring to validate.
  
      Returns
      -------
      dict
          Information about the docstring and the errors found.
      """
      func_obj = Validator._load_obj(func_name)
      # Some objects are instances, e.g. IndexSlice, which numpydoc can't validate
      doc_obj = get_doc_object(func_obj, doc=func_obj.__doc__)
      doc = PandasDocstring(func_name, doc_obj)
      result = validate(doc_obj)
  
      mentioned_errs = doc.mentioned_private_classes
      if mentioned_errs:
          result["errors"].append(
              pandas_error(
                  "GL04",
                  mentioned_private_classes=", ".join(mentioned_errs),
              )
          )
  
      if doc.see_also:
          result["errors"].extend(
              pandas_error(
                  "SA05",
                  reference_name=rel_name,
                  right_reference=rel_name[len("pandas.") :],
              )
              for rel_name in doc.see_also
              if rel_name.startswith("pandas.")
          )
  
      result["examples_errs"] = ""
      if doc.examples:
          for (
              error_code,
              error_message,
              line_number,
              col_number,
          ) in doc.validate_pep8():
              result["errors"].append(
                  pandas_error(
                      "EX03",
                      error_code=error_code,
                      error_message=error_message,
                      line_number=line_number,
                      col_number=col_number,
                  )
              )
          examples_source_code = "".join(doc.examples_source_code)
          result["errors"].extend(
              pandas_error("EX04", imported_library=wrong_import)
              for wrong_import in ("numpy", "pandas")
              if f"import {wrong_import}" in examples_source_code
          )
  
      if doc.non_hyphenated_array_like():
          result["errors"].append(pandas_error("GL05"))
  
      plt.close("all")
      return result
  
imports: from __future__ import annotations
  import argparse
  import doctest
  import importlib
  import json
  import os
  import pathlib
  import subprocess
  import sys
  import tempfile
  import matplotlib
  import matplotlib.pyplot
  from numpydoc.docscrape import get_doc_object
  from numpydoc.validate import Validator, validate
label_desc: Use image node_id 3 for calling a global function with example usage: pandas_validate(func_name) and returns: result