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MCM-ICM_Toolkit/src/mcm_toolkit/data/io.py
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"""读写表格。
只保留两个函数:`load_table` / `save_table` 按扩展名分派。
原建议里的 `load_csv` `load_excel` `save_csv` `save_excel` 四个函数
只是在转发 pandas,合并后调用点更短。
"""
from __future__ import annotations
from pathlib import Path
from typing import Any
import pandas as pd
__all__ = ["load_table", "save_table"]
def load_table(path: str | Path, **kwargs: Any) -> Any:
"""按扩展名自动选择读取方式,返回 DataFrame。
约定:
* `.csv` 默认做编码探测(utf-8 → utf-8-sig → gbk → gb18030),
国内赛题数据常见 GBK;
* `.xlsx` / `.xls` 需要 `openpyxl`(`pip install "mcm-toolkit[excel]"`);
* `na_values` 默认包含空串、`"NA"`、`"N/A"`、`"#N/A"`、`"null"`、`"-"`。
Examples
--------
>>> df = load_table("data.csv") # doctest: +SKIP
>>> df.shape # doctest: +SKIP
"""
path = Path(path)
suffix = path.suffix.lower()
encodings = ['utf-8','utf-8-sig','gbk','gb18030']
kwargs.setdefault('na_values',['','NA','N/A','#N/A','null','-'])
if suffix == ".csv":
if 'encoding' in kwargs:
return pd.read_csv(path,**kwargs)
for enc in encodings:
try:
return pd.read_csv(path,encoding=enc,**kwargs)
except UnicodeDecodeError:
continue
except FileNotFoundError:
raise FileNotFoundError(f"在这里找不到文件:{path}") from None
raise ValueError(f"无法解码文件,目前支持解码方式:{encodings}")
if suffix in ['.xlsx','.xls']:
return pd.read_excel(path,**kwargs)
raise ValueError(f"不支持的文件后缀:{suffix}")
def save_table(df: pd.DataFrame, path: str | Path, index: bool = False, **kwargs: Any) -> Path:
"""保存 DataFrame,返回实际写入的路径。"""
path = Path(path)
path.parent.mkdir(parents=True,exist_ok=True)
suffix = path.suffix.lower()
if not isinstance(df,pd.DataFrame):
raise TypeError(f"df 必须是一个pandas DataFrame,但是你上传了{type(df)}")
if suffix == '.csv':
df.to_csv(path,index=index,**kwargs)
elif suffix in ['.xlsx','.xls']:
df.to_excel(path,index=index,**kwargs)
else:
raise ValueError(f"不支持的文件后缀:{suffix}")
return path