sprint-econtai/pipeline/generators/helpers.py
Félix Dorn 2da206d368 init
2025-07-03 16:26:30 +02:00

6 lines
239 B
Python

import pandas as pd
from typings import List
def must_have_columns(df: pd.DataFrame, columns: List[str]):
if not all(col in df.columns for col in columns):
raise ValueError(f"DataFrame is missing required columns: {columns}")