Merge branch 'feature/interpolate_exceedance' of github.com:CLIMADA-project/climada_python into feature/interpolate_exceedance

Author: ValentinGebhart

climada/engine/impact.py

@@ -2309,7 +2309,7 @@ def extrapolate(
         ----------
         return_period : Iterable[float]
             return periods for which to evaluate the impact frequency curve
-            axis to use
+
         method : str, optional
             Method to interpolate to new return periods. Currently available are "interpolate",
             "extrapolate", "extrapolate_constant" and "stepfunction". If set to "interpolate",
@@ -2460,7 +2460,7 @@ def plot_extrapolate(
             self.label,
             **kwargs,
         )
-        # axis = self._plot(self.return_per, self.evaluate(self.return_per, **(kwargs_interp|{"method": "interpolate"})), axis, log_frequency, self.frequency_unit, self.unit, self.label, **kwargs)
+
         for rp in [min(self.return_per), max(self.return_per)]:
             axis.axvline(x=1 / rp if log_frequency else rp, linestyle="--", c="gray")
 

climada/util/interpolation.py

@@ -51,7 +51,7 @@ def preprocess_and_interpolate_ev(
         assigned. If given, test_values must be None.
     test_values : array_like
         1-D array of test values (e.g., intensities or impacts) for which exceedance frequencies should be
-        assigned. If given, test_frequency must be None.
+        assigned. If given, exceedance_frequency must be None.
     frequency : array_like
         1-D array of frequencies to be interpolated.
     values : array_like