plot_eta_distributions#

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

Plot eta distributions for all etas

Parameters:

  • model (Model) – 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)
eta0.00.51.01.52.02.53.03.54.04.55.05.56.06.5Density−0.30−0.25−0.20−0.15−0.10−0.050.000.050.100.150.200.250.300.350.40Value−0.30−0.25−0.20−0.15−0.10−0.050.000.050.100.150.200.250.300.350.40ValueETA_CLETA_VC
Save as SVGSave as PNGView SourceView Compiled VegaOpen in Vega Editor