watex.view.TPlot.plot_multi_recovery#

TPlot.plot_multi_recovery(sites, colors=None, **kws)[source]#

Plots mutiple site/stations with signal recovery.

Parameters:

  • sites (list) – list of sites to visualize. Can also be the index of the sites

  • colors (list of str) – matplotlib colors to customize the raw signal and recovery signal

Returns:

ax

Return type:

Matplotlib suplot axes

Examples

>>> from watex.view.plot import TPlot
>>> from watex.datasets import load_edis
>>> # takes the 03 samples of EDIs
>>> edi_data = load_edis (return_data= True, samples =3 )
>>> TPlot(fig_size =(5, 3)).fit(edi_data).plot_multi_recovery (
    sites =['S00'], colors =['o', 'ok--'])
<AxesSubplot:title={'center':'Recovered tensor $|Z_{xy}|$'},
xlabel='$Frequency [H_z]$', ylabel='$ App.resistivity \quad xy \quad [ \Omega.m]$'>