adapt impactforecast docstrings and tests

Author: ValentinGebhart

climada/engine/impact_forecast.py

@@ -45,9 +45,9 @@ def __init__(
         Parameters
         ----------
         lead_time : np.ndarray, optional
-            The lead time associated with each event entry
+            The lead time associated with each event entry, given as timedelta64 type
         member : np.ndarray, optional
-            The ensemble member associated with each event entry
+            The ensemble member associated with each event entry, given as integers
         impact_kwargs
             Keyword-arguments passed to ~:py:class`climada.engine.impact.Impact`.
         """
@@ -65,9 +65,9 @@ def from_impact(
         impact : climada.engine.impact.Impact
             The impact object whose data to use in the forecast object
         lead_time : np.ndarray, optional
-            The lead time associated with each event entry
+            The lead time associated with each event entry, given as timedelta64 type
         member : np.ndarray, optional
-            The ensemble member associated with each event entry
+            The ensemble member associated with each event entry, given as integers
         """
         with log_level("WARNING", "climada.engine.impact"):
             return cls(

climada/engine/test/test_impact_forecast.py

@@ -52,7 +52,7 @@ def assert_impact_kwargs(impact: Impact, **kwargs):
 
 
 class TestImpactForecastInit:
-    lead_time = pd.date_range("2000-01-01", "2000-01-02", periods=6).to_numpy()
+    lead_time = pd.timedelta_range(start="1 day", periods=6).to_numpy()
     member = np.arange(6)
 
     def test_impact_forecast_init(self, impact_kwargs):