- skrf.plotting.plot_uncertainty_bounds_component(self, attribute, m=None, n=None, type='shade', n_deviations=3, alpha=0.3, color_error=None, markevery_error=20, ax=None, ppf=None, kwargs_error=None, **kwargs)¶
Plot mean value of a NetworkSet with +/- uncertainty bounds in an Network’s attribute.
This is designed to represent uncertainty in a scalar component of the s-parameter. for example plotting the uncertainty in the magnitude would be expressed by,\[mean(|s|) \pm std(|s|)\]
The order of mean and abs is important.
attribute (str) – attribute of Network type to analyze
m (int or None) – first index of attribute matrix. Default is None (all)
n (int or None) – second index of attribute matrix. Default is None (all)
type (str) – [‘shade’ | ‘bar’], type of plot to draw
n_deviations (int) – number of std deviations to plot as bounds
alpha (float) – passed to matplotlib.fill_between() command. [number, 0-1]
color_error (str) – color of the +- std dev fill shading. Default is None.
markevery_error (float) – tbd
type – if type==’bar’, this controls frequency of error bars
ax (matplotlib axe object) – Axes to plot on. Default is None.
ppf (function) –
- post processing function. a function applied to the
upper and lower bounds. Default is None
dictionary of kwargs to pass to the fill_between or errorbar plot command depending on value of type.
**kwargs – passed to Network.plot_s_re command used to plot mean response
self (NetworkSet) –
kwargs_error (dict) –
For phase uncertainty you probably want s_deg_unwrap, or similar. uncertainty for wrapped phase blows up at +-pi.