@@ -521,6 +521,44 @@ def setDiscreteBasedOnModel(self, modelFunction, oneByOne=True):
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self .setExtrapolation (modelFunction .__extrapolation__ )
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return self
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+ def reset (
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+ self ,
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+ inputs = None ,
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+ outputs = None ,
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+ interpolation = None ,
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+ extrapolation = None ,
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+ ):
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+ """This method resets the Function object to its initial state, with the
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+ possibility of resetting all of its initialization arguments besides the
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+ source.
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+
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+ Parameters
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+ ----------
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+ inputs : string, sequence of strings, optional
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+ List of input variable names. If None, the original inputs are kept.
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+ outputs : string, sequence of strings, optional
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+ List of output variable names. If None, the original outputs are kept.
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+ interpolation : string, optional
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+ Interpolation method to be used if source type is ndarray.
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+ For 1-D functions, linear, polynomial, akima and spline is
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+ supported. For N-D functions, only shepard is supported.
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+ If None, the original interpolation method is kept.
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+ extrapolation : string, optional
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+ Extrapolation method to be used if source type is ndarray.
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+ Options are 'natural', which keeps interpolation, 'constant',
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+ which returns the value of the function at the edge of the interval,
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+ and 'zero', which returns zero for all points outside of source
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+ range. If None, the original extrapolation method is kept.
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+ """
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+ if inputs is not None :
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+ self .setInputs (inputs )
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+ if outputs is not None :
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+ self .setOutputs (outputs )
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+ if interpolation is not None and interpolation != self .__interpolation__ :
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+ self .setInterpolation (interpolation )
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+ if extrapolation is not None and extrapolation != self .__extrapolation__ :
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+ self .setExtrapolation (extrapolation )
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+
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# Define all get methods
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def getInputs (self ):
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"Return tuple of inputs of the function."
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