class_docstr: override the load method of langchain.document_loaders.DataFrameLoaders to ignore rows with 'None' values
class_docstr_tok: ["override","the","load","method","of","langchain.document_loaders.DataFrameLoaders","to","ignore","rows","with","'None","'","values"]
code: def __init__(
      self, data_frame: pd.DataFrame, page_content_column: str
  ):
      super().__init__(
          data_frame=data_frame, page_content_column=page_content_column
      )
      self._data_frame = data_frame
      self._page_content_column = page_content_column
  
imports: import json
  from dataclasses import dataclass
  from functools import lru_cache, partial
  from typing import Any, Dict, List, Union
  import html2text
  import openai
  import pandas
  import requests
  import writer
  from langchain import Writer
  from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler
  from langchain.docstore.document import Document
  from langchain.document_loaders import DataFrameLoader
  from langchain.embeddings.base import Embeddings
  from langchain.embeddings.huggingface import HuggingFaceEmbeddings
  from langchain.vectorstores import FAISS, Chroma, VectorStore
  from pydantic import BaseModel, Extra, Field, validator
  from mindsdb.integrations.handlers.chromadb_handler.chromadb_handler import get_chromadb
  from mindsdb.integrations.handlers.rag_handler.exceptions import InvalidOpenAIModel, InvalidPromptTemplate, InvalidWriterModel, UnsupportedLLM, UnsupportedVectorStore
label_desc: Use image node_id 1 to create a new DfLoader object from inherited base classes: DataFrameLoader with example: obj = DfLoader(data_frame, page_content_column)