你已经派生过 gprMax
镜像自地址
https://gitee.com/sunhf/gprMax.git
已同步 2025-08-06 20:46:52 +08:00
77 行
2.7 KiB
Python
77 行
2.7 KiB
Python
# Copyright (C) 2015: The University of Edinburgh
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# Authors: Craig Warren and Antonis Giannopoulos
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#
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# This file is part of gprMax.
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#
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# gprMax is free software: you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# gprMax is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with gprMax. If not, see <http://www.gnu.org/licenses/>.
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import sys, os
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import h5py
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import numpy as np
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import matplotlib as mpl
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import matplotlib.pyplot as plt
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"""Compare field outputs
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Usage:
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cd gprMax
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python -m tests.test_compare_experimental path_to_model_output path_to_real_output
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"""
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modelfile = sys.argv[1]
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realfile = sys.argv[2]
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path = '/rxs/rx1/'
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# Key refers to subplot location
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fields = {0: 'Ex', 1: 'Ey', 2: 'Ez', 3: 'Hx', 4: 'Hy', 5: 'Hz'}
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plotorder = list(fields.keys())
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# Model results
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f = h5py.File(modelfile, 'r')
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floattype = f[path + 'Ex'].dtype
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model = np.zeros((f.attrs['Iterations'], 6), dtype=floattype)
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timemodel = np.zeros((f.attrs['Iterations']), dtype=floattype)
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timemodel = np.arange(0, f.attrs['dt'] * f.attrs['Iterations'], f.attrs['dt']) / 1e-9
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for ID, name in fields.items():
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model[:,ID] = f[path + str(name)][:] * -1
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model[:,ID] = model[:,ID] / np.amax(np.abs(model[:,ID]))
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f.close()
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# Select model field of interest and find max
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modelmax = np.where(np.abs(model[:,1]) == 1)[0][0]
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# Real results
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with open(realfile, 'r') as f:
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real = np.loadtxt(f)
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real[:,1] = real[:,1] / np.amax(np.abs(real[:,1]))
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realmax = np.where(np.abs(real[:,1]) == 1)[0][0]
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difftime = - (timemodel[modelmax] - real[realmax,0])
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# Plot modelled and real data
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fig, ax = plt.subplots(num=modelfile + ' versus ' + realfile, figsize=(20, 10), facecolor='w', edgecolor='w')
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ax.plot(timemodel + difftime, model[:,1], 'r', lw=2, label='Model')
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ax.plot(real[:,0], real[:,1], 'r', ls='--', lw=2, label='Experiment')
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ax.set_xlabel('Time [ns]')
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ax.set_ylabel('Amplitude')
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ax.set_xlim([0, timemodel[-1]])
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ax.set_ylim([-1, 1])
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ax.legend()
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[label.set_bbox(dict(facecolor='white', edgecolor='None', alpha=0.65 )) for label in ax.get_xticklabels() + ax.get_yticklabels()]
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ax.grid()
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# Show/print plots
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savename = os.path.abspath(os.path.dirname(modelfile)) + os.sep + os.path.splitext(os.path.split(modelfile)[1])[0] + '_vs_' + os.path.splitext(os.path.split(realfile)[1])[0]
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#fig.savefig(savename + '.pdf', dpi=None, format='pdf', bbox_inches='tight', pad_inches=0.1)
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plt.show() |