Source code for langchain_community.document_loaders.dataframe
from typing import Any, Iterator, Literal
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
[docs]class BaseDataFrameLoader(BaseLoader):
[docs] def __init__(self, data_frame: Any, *, page_content_column: str = "text"):
"""使用DataFrame对象进行初始化。
参数:
data_frame:DataFrame对象。
page_content_column:包含页面内容的列的名称。默认为"text"。
"""
self.data_frame = data_frame
self.page_content_column = page_content_column
[docs] def lazy_load(self) -> Iterator[Document]:
"""从数据框中延迟加载记录。"""
for _, row in self.data_frame.iterrows():
text = row[self.page_content_column]
metadata = row.to_dict()
metadata.pop(self.page_content_column)
yield Document(page_content=text, metadata=metadata)
[docs]class DataFrameLoader(BaseDataFrameLoader):
"""加载`Pandas`数据框。"""
[docs] def __init__(
self,
data_frame: Any,
page_content_column: str = "text",
engine: Literal["pandas", "modin"] = "pandas",
):
"""使用DataFrame对象进行初始化。
参数:
data_frame:Pandas DataFrame对象。
page_content_column:包含页面内容的列的名称。默认为"text"。
"""
try:
if engine == "pandas":
import pandas as pd
elif engine == "modin":
import modin.pandas as pd
else:
raise ValueError(
f"Unsupported engine {engine}. Must be one of 'pandas', or 'modin'."
)
except ImportError as e:
raise ImportError(
"Unable to import pandas, please install with `pip install pandas`."
) from e
if not isinstance(data_frame, pd.DataFrame):
raise ValueError(
f"Expected data_frame to be a pd.DataFrame, got {type(data_frame)}"
)
super().__init__(data_frame, page_content_column=page_content_column)