Python eval_formula Exemples

Exemple #1

Fichier : test_formula_evaluation.py Projet : jagman88/dolo

def test_eval_formula():

    from dolo.compiler.eval_formula import eval_formula
    from dolo import yaml_import, approximate_controls, simulate

    model = yaml_import('examples/models/rbc.yaml')
    dr = approximate_controls(model)
    sim = simulate(model, dr)

    rr = eval_formula("delta*k-i", sim, context=model.calibration)
    rr = eval_formula("y(1) - y", sim, context=model.calibration)

    sim['diff'] = model.eval_formula("delta*k-i", sim)
    model.eval_formula("y(1) - y", sim)
    sim['ddiff'] = model.eval_formula("diff(1)-diff(-1)", sim)

Exemple #2

    def eval_formula(self, expr, dataframe=None, calib=None):

        from dolo.compiler.eval_formula import eval_formula

        if calib is None:
            calib = self.calibration
        return eval_formula(expr, dataframe=dataframe, context=calib)

Exemple #3

def test_eval_formula():

    from dolo.compiler.eval_formula import eval_formula
    from dolo import yaml_import, time_iteration, simulate

    model = yaml_import('examples/models/rbc.yaml')
    dr = time_iteration(model)
    sim = simulate(model, dr)
    sim = sim.sel(N=0)
    sim = sim.to_pandas()

    rr = eval_formula("delta*k-i", sim, context=model.calibration)
    rr = eval_formula("y(1) - y", sim, context=model.calibration)

    sim['diff'] = model.eval_formula("delta*k-i", sim)
    model.eval_formula("y(1) - y", sim)
    sim['ddiff'] = model.eval_formula("diff(1)-diff(-1)", sim)

Exemple #4

def test_eval_formula():

    from dolo.compiler.eval_formula import eval_formula
    from dolo import yaml_import, time_iteration, simulate
    import dolo.config

    from dolo import perturb

    model = yaml_import("examples/models/rbc.yaml")

    dr = perturb(model)
    sim = simulate(model, dr)
    sim = sim.sel(N=0)
    sim = sim.to_pandas()

    print(sim.columns)
    rr = eval_formula("delta*k(0)-i(0)", sim, context=model.calibration)
    rr = eval_formula("y(1) - y(0)", sim, context=model.calibration)

    sim["diff"] = model.eval_formula("delta*k(0)-i(0)", sim)
    model.eval_formula("y(1) - y(0)", sim)
    sim["ddiff"] = model.eval_formula("diff(1)-diff(-1)", sim)

Exemple #5

Fichier : test_formula_evaluation.py Projet : EconForge/dolo

def test_eval_formula():

    from dolo.compiler.eval_formula import eval_formula
    from dolo import yaml_import, time_iteration, simulate
    import dolo.config

    from dolo import perturb

    model = yaml_import('examples/models/rbc.yaml')

    dr = perturb(model)
    sim = simulate(model, dr)
    sim = sim.sel(N=0)
    sim = sim.to_pandas()


    print(sim.columns)
    rr = eval_formula("delta*k(0)-i(0)", sim, context=model.calibration)
    rr = eval_formula("y(1) - y(0)", sim, context=model.calibration)

    sim['diff'] = model.eval_formula("delta*k(0)-i(0)", sim)
    model.eval_formula("y(1) - y(0)", sim)
    sim['ddiff'] = model.eval_formula("diff(1)-diff(-1)", sim)

Exemple #6

Fichier : model_numeric.py Projet : gitter-badger/dolo

    def eval_formula(self, expr, dataframe=None, calib=None):

        from dolo.compiler.eval_formula import eval_formula
        if calib is None:
            calib = self.calibration
        return eval_formula(expr, dataframe=dataframe, context=calib)