pastas.rfunc.One

class pastas.rfunc.One(cutoff: float = 0.999, **kwargs)

Instant response with no lag and one parameter d.

Parameters:

• up (bool or None, optional) – indicates whether a positive stress will cause the head to go up (True) or down (False), if None (default) the head can go both ways.

• gain_scale_factor (float, optional) – the scale factor is used to set the initial value and the bounds of the gain parameter, computed as 1 / gain_scale_factor.

• cutoff (float, optional) – proportion after which the step function is cut off. Has no influence for this response function.

Methods

get_init_parameters(→ pandas.DataFrame)	Get initial parameters and bounds. It is called by the stressmodel.
get_tmax(→ float)	Method to get the response time for a certain cutoff.
step(→ pastas.typing.ArrayLike)	Method to return the step function.
block(→ pastas.typing.ArrayLike)	Method to return the block function.