Plot single site signal recovery#

visualizes the restored tensor at each site.

# Author: L.Kouadio
# Licence: BSD-3-clause
  • Visualize the third site S03 for instance

import matplotlib.pyplot as plt
plt.style.use ('classic')
from watex.view import TPlot
from watex.datasets import load_edis
# load 7 samples as example
edi_data = load_edis (return_data =True, samples =7)
plot_kws = dict( ylabel = '$Log_{10}Frequency [Hz]$',
                            xlabel = '$Distance(m)$',
                            cb_label = '$Log_{10}Rhoa[\Omega.m$]',
                            fig_size =(7, 4),
                            font_size =7.
                            )
t= TPlot(**plot_kws ).fit(edi_data)
t.plot_recovery ('S03')
Recovered tensor $|Z_{xy}|$ at site S03
<'TPlot':survey_area=None, distance=50.0, prefix='S', window_size=5, component='xy', mode='same', method='slinear', out='srho', how='py', c=2>

Total running time of the script: ( 0 minutes 0.615 seconds)

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