plot_eta_distributions#

pharmpy.modeling.plot_eta_distributions(model, individual_estimates)[source]#

Plot eta distributions for all etas

Parameters:

model (Model) – Previously run Pharmpy model.
individual_estimates (pd.DataFrame) – Individual estimates for etas

Returns:

alt.Chart – Plot

Examples

from pharmpy.modeling import load_example_model, plot_eta_distributions
from pharmpy.tools import load_example_modelfit_results

model = load_example_model("pheno")
res = load_example_modelfit_results("pheno")
plot_eta_distributions(model, res.individual_estimates)

model <- load_example_model("pheno")
res <- load_example_modelfit_results("pheno")
plot_eta_distributions(model, res$individual_estimates)