added an example with interp1d from scipy

aosoriom7 · May 15, 2021 · 702d71d · 702d71d
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diff --git a/pandapower/control/controller/characteristic_control.py b/pandapower/control/controller/characteristic_control.py
@@ -14,7 +14,7 @@ class CharacteristicControl(Controller):
     Example: change the tap position of the transformers (net.trafo.tap_pos) based on transformer loading (net.res_trafo.loading_percent)
     according to a specified linear relationship. To this end, the input element is "res_trafo", the input variable is "loading_percent",
     the output element is "trafo" and the output variable is "tap_pos". The relationship between the values of the input and output
-    variables is specified using the Characteristic class (or a scipy interpolator, e.g. scipy.interpolate.PPoly).
+    variables is specified using the Characteristic class (or a scipy interpolator, e.g. scipy.interpolate.interp1d).
 
     INPUT:
         **net** (attrdict) - Pandapower net

diff --git a/pandapower/control/util/characteristic.py b/pandapower/control/util/characteristic.py
@@ -19,7 +19,7 @@ class Characteristic(JSONSerializableClass):
     |   **eps** - Optional: An epsilon to compare the difference to.
 
     The class has an implementation of the __call__ method, which allows using it interchangeably with other interpolator objects,
-    e.g. scipy.interpolate.CubicSpline, scipy.interpolate.PPoly, etc.
+    e.g. scipy.interpolate.interp1d, scipy.interpolate.CubicSpline, scipy.interpolate.PPoly, etc.
 
     Example usage: