petab.v1.visualize.plot_residuals
Functions for plotting residuals.
Functions
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Plot goodness of fit. |
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Plot residuals versus simulation values for measurements with normal noise assumption. |
- petab.v1.visualize.plot_residuals.plot_goodness_of_fit(petab_problem: Problem, simulations_df: str | Path | DataFrame, size: tuple = (10, 7), color=None, ax: Axes | None = None, normalized_error: bool = True) Axes[source]
Plot goodness of fit.
- Parameters:
petab_problem – A PEtab problem.
simulations_df – A simulation DataFrame in the PEtab format or path to the simulation output data file.
size – Figure size.
color – The marker colors, matches the c parameter of matplotlib.pyplot.scatter.
ax – Axis object.
normalized_error – Type of error to display. If True, mean of squared normalized residuals is shown, otherwise mean of squared residuals.
- Returns:
ax
- Return type:
Axis object of the created plot.
- petab.v1.visualize.plot_residuals.plot_residuals_vs_simulation(petab_problem: Problem, simulations_df: str | Path | DataFrame, size: tuple | None = (10, 7), axes: tuple[Axes, Axes] | None = None) Axes[source]
Plot residuals versus simulation values for measurements with normal noise assumption.
- Parameters:
petab_problem – A PEtab problem.
simulations_df – A simulation DataFrame in the PEtab format or path to the simulation output data file.
size – Figure size.
axes – Axis object.
- Returns:
ax
- Return type:
Axis object of the created plot.