pywr.parameters.InterpolatedQuadratureParameter

class pywr.parameters.InterpolatedQuadratureParameter(model, upper_parameter, x, y, lower_parameter=None, interp_kwargs=None, **kwargs)

Parameter value is equal to the quadrature of the interpolation of another parameter

Parameters:

upper_parameterParameter: Upper value of the interpolated interval to integrate over.
xarray_like: x coordinates of the data points for interpolation.
yarray_like: y coordinates of the data points for interpolation.
lower_parameterParameter or None: Lower value of the interpolated interval to integrate over. Can be None in which case the lower value of interval is zero.
interp_kwargsdict: Dictionary of keyword arguments to pass to scipy.interpolate.interp1d class and used for interpolation.

__init__(model, upper_parameter, x, y, lower_parameter=None, interp_kwargs=None, **kwargs)

Methods

`__init__`(model, upper_parameter, x, y[, ...])
`after`(self)
`before`(self)
`finish`(self)
`get_all_values`(self)
`get_constant_value`(self)	Return a constant value.
`get_double_lower_bounds`(self)
`get_double_upper_bounds`(self)
`get_double_variables`(self)
`get_integer_lower_bounds`(self)
`get_integer_upper_bounds`(self)
`get_integer_variables`(self)
`get_value`(self, ScenarioIndex scenario_index)
`load`(cls, model, data)
`register`(cls)
`reset`(self)
`set_double_variables`(self, double[)
`set_integer_variables`(self, int[)
`setup`(self)
`unregister`(cls)
`value`(self, Timestep ts, ...)

Attributes