evaluate_expression#

pharmpy.modeling.evaluate_expression(model, expression, parameter_estimates=None)[source]#

Evaluate expression using model

Calculate the value of expression for each data record. The expression can contain dataset columns, variables in model and population parameters. If the model has parameter estimates these will be used. Initial estimates will be used for non-estimated parameters.

Parameters:

model (Model) – Pharmpy model
expression (str or TExpr) – Expression to evaluate
parameter_estimates (pd.Series) – Parameter estimates to use instead of initial estimates

Returns:

pd.Series – A series of one evaluated value for each data record

Examples

>>> from pharmpy.modeling import load_example_model, evaluate_expression
>>> from pharmpy.tools import load_example_modelfit_results
>>> model = load_example_model("pheno")
>>> results = load_example_modelfit_results("pheno")
>>> pe = results.parameter_estimates
>>> evaluate_expression(model, "TVCL*1000", parameter_estimates=pe)
0      6.573770
1      6.573770
2      6.573770
3      6.573770
4      6.573770
         ...
739    5.165105
740    5.165105
741    5.165105
742    5.165105
743    5.165105
Length: 744, dtype: float64