pywr.parameters.DataFrameParameter

class pywr.parameters.DataFrameParameter(model, dataframe, scenario=None, **kwargs)

Timeseries parameter with automatic alignment and resampling

Parameters

modelpywr.model.Model

dataframepandas.DataFrame or pandas.Series

scenario: pywr._core.Scenario (optional)

__init__(*args, **kwargs)

Initialize self. See help(type(self)) for accurate signature.

Methods

__init__(*args, **kwargs)	Initialize self.
after(self)
before(self)
finish(self)
get_all_values(self)
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(type cls, model, data)
register(type cls)
reset(self)
set_double_variables(self, double[)
set_integer_variables(self, int[)
setup(self)
unregister(type cls)
value(self, Timestep timestep, …)

Attributes

children
comment	comment: unicode
dataframe	dataframe: object
double_size	double_size: ‘int’
integer_size	integer_size: ‘int’
is_variable	is_variable: ‘bool’
model
name
parents
scenario	scenario: pywr._core.Scenario
size