Update modelplots.py

pastas/model.py

@@ -862,7 +862,7 @@ def _get_time_offset(self, freq: str) -> Type[Timedelta]:
         else:
             return Timedelta(0)
 
-    def _get_sim_index(self, tmin: Type[Timestamp], tmax: Type[Timestamp], freq: str, warmup: type[Timedelta], update_sim_index: Optional[Type[bool]] = False):
+    def _get_sim_index(self, tmin: Type[Timestamp], tmax: Type[Timestamp], freq: str, warmup: Type[Timedelta], update_sim_index: Optional[Type[bool]] = False):
         """Internal method to get the simulation index, including the warmup.
 
         Parameters
@@ -1723,7 +1723,7 @@ def _check_response_tmax(self, cutoff: Optional[float] = None) -> Type[DataFrame
 
         return check
 
-    def _check_parameters_bounds(self) -> Tuple[Type[Series], type[Series]]:
+    def _check_parameters_bounds(self) -> Tuple[Type[Series], Type[Series]]:
         """Internal method to check if the optimal parameters are close to pmin
         or pmax.
 

pastas/modelplots.py

@@ -15,7 +15,7 @@
     _table_formatter_params, _table_formatter_stderr
 
 # Type Hinting
-from pastas.typing import Type, Optional, List, pstAx, pstFi, pstTm, pstMl
+from pastas.typing import Type, Optional, List, Union, pstAx, pstFi, pstTm, pstMl
 
 logger = logging.getLogger(__name__)
 
@@ -853,7 +853,7 @@ def summary_pdf(self, tmin: Optional[pstTm] = None, tmax: Optional[pstTm] = None
         return fig
 
 
-def _get_height_ratios(ylims: List[list, tuple]) -> List[float]:
+def _get_height_ratios(ylims: List[Union[list, tuple]]) -> List[float]:
     height_ratios = []
     for ylim in ylims:
         hr = ylim[1] - ylim[0]