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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')

<'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 0.434 seconds)