Use LazyDataFrame

Signed-off-by: Bram Stoeller <[email protected]>

src/power_grid_model_io/data_stores/csv_dir_store.py

@@ -35,7 +35,7 @@ def load(self) -> TabularData:
  Create a lazy loader for all CSV files in a directory and store them in a TabularData instance.
  """
 
- def lazy_csv_loader(csv_path: Path) -> Callable[[], pd.DataFrame]:
+ def lazy_csv_loader(csv_path: Path) -> LazyDataFrame:
  def csv_loader():
  return pd.read_csv(filepath_or_buffer=csv_path, header=self._header_rows, **self._csv_kwargs)