class_docstr: Validation results for a dataframe.
  
  Attributes:
      passed: Whether the validation passed or not.
      errors: List of errors if the validation failed.
class_docstr_tok: ["Validation","results","for","a","dataframe",".","Attributes",":","passed",":","Whether","the","validation","passed","or","not",".","errors",":","List","of","errors","if","the","validation","failed","."]
code: def errors(self) -> List[Dict]:
      return self._errors
  
file_path: pandas-ai/pandasai/helpers/df_validator.py
imports: from typing import List, Dict
  from pydantic import ValidationError
  from pydantic import BaseModel
  from pandasai.helpers.df_info import DataFrameType, df_type
label_desc: Use image node_id 3 for calling the DfValidationResult obj's underlying member method code with example usage: obj.errors() and returns: self