Fixed types for 3.8

redframes/types.py

@@ -1,18 +1,18 @@
 from __future__ import annotations
 
 import datetime
-from typing import Any, Callable, Literal, Union
+from typing import Any, Callable, Literal, Union, List
 
 import numpy as np  # pyright: ignore[reportMissingImports]
 import pandas as pd  # pyright: ignore[reportMissingImports]
 import pandas.core.groupby.generic as pg  # pyright: ignore[reportMissingImports]
 
 Value = Any
-Values = list[Value]
+Values = List[Value]
 OldValue = Value
 NewValue = Value
 Column = str
-Columns = list[Column]
+Columns = List[Column]
 LazyColumns = Union[Column, Columns]
 OldColumn = Column
 NewColumn = Column

redframes/verbs/rename.py

@@ -1,8 +1,10 @@
+from typing import Dict
+
 from ..checks import _check_type, _check_values
 from ..types import NewColumn, OldColumn, PandasDataFrame
 
 
-def rename(df: PandasDataFrame, columns: dict[OldColumn, NewColumn]) -> PandasDataFrame:
+def rename(df: PandasDataFrame, columns: Dict[OldColumn, NewColumn]) -> PandasDataFrame:
     _check_type(columns, dict)
     cv = columns.values()
     _check_values(cv, str)

redframes/verbs/replace.py

@@ -1,9 +1,11 @@
+from typing import Dict
+
 from ..checks import _check_type
 from ..types import Column, NewValue, OldValue, PandasDataFrame
 
 
 def replace(
-    df: PandasDataFrame, over: dict[Column, dict[OldValue, NewValue]]
+    df: PandasDataFrame, over: Dict[Column, Dict[OldValue, NewValue]]
 ) -> PandasDataFrame:
     _check_type(over, dict)
     bad_columns = list(set(over.keys()) - set(df.columns))