plot_total_effects¶
-
pyapprox.sensitivity_analysis.plot_total_effects(total_effects, ax, truncation_pct=0.95, rv='z', qoi=0)[source]¶ Plot the total effects in a pie chart showing relative size.
- Parameters
- total_effectsnp.ndarray (nvars,nqoi)
The variance based total effect sensitivity indices
- ax
matplotlib.pyplot.axes.Axes Axes that will be used for plotting
- truncation_pctfloat
The proportion \(0<p\le 1\) of the sensitivity indices effects to plot
- rvstring
The name of the random variables when creating labels
- qoiinteger
The index 0<qoi<nqoi of the quantitiy of interest to plot