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https://gitee.com/sunhf/gprMax.git
已同步 2025-08-06 04:26:52 +08:00
Updated some variable names and plot legend.
这个提交包含在：
craig-warren
@@ -27,62 +27,62 @@ import matplotlib.pyplot as plt
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Usage:
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cd gprMax
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python -m tests.test_compare_numerical path_to_new_file path_to_old_file
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python -m tests.test_compare_numerical path_to_file1 path_to_file2
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"""
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newfile = sys.argv[1]
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oldfile = sys.argv[2]
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filename1 = sys.argv[1]
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filename2 = 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', 2: 'Ey', 4: 'Ez', 1: 'Hx', 3: 'Hy', 5: 'Hz'}
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plotorder = list(fields.keys())
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# New results
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f = h5py.File(newfile, 'r')
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# File 1 results
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f = h5py.File(filename1, 'r')
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floattype = f[path + 'Ex'].dtype
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new = np.zeros((f.attrs['Iterations'], 6), dtype=floattype)
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timenew = np.zeros((f.attrs['Iterations']), dtype=floattype)
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timenew = np.arange(0, f.attrs['dt'] * f.attrs['Iterations'], f.attrs['dt']) / 1e-9
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data1 = np.zeros((f.attrs['Iterations'], 6), dtype=floattype)
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time1 = np.zeros((f.attrs['Iterations']), dtype=floattype)
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time1 = 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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new[:,ID] = f[path + str(name)][:]
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data1[:,ID] = f[path + str(name)][:]
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f.close()
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# Old results
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f = h5py.File(oldfile, 'r')
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old = np.zeros((f.attrs['Iterations'], 6), dtype=floattype)
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timeold = np.zeros((f.attrs['Iterations']), dtype=floattype)
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timeold = np.arange(0, f.attrs['dt'] * f.attrs['Iterations'], f.attrs['dt']) / 1e-9
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# File 2 results
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f = h5py.File(filename2, 'r')
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data2 = np.zeros((f.attrs['Iterations'], 6), dtype=floattype)
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time2 = np.zeros((f.attrs['Iterations']), dtype=floattype)
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time2 = 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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old[:,ID] = f[path + str(name)][:]
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data2[:,ID] = f[path + str(name)][:]
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f.close()
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# Differences
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# In case there is any difference in the number of iterations, take the smaller
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timesmallest = np.amin((timeold.shape, timenew.shape))
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fieldssmallest = np.amin((old.shape[0], new.shape[0]))
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timesmallest = np.amin((time2.shape, time1.shape))
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fieldssmallest = np.amin((data2.shape[0], data1.shape[0]))
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threshold = 1e-4 # Threshold, below which ignore differences
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diffs = np.zeros((fieldssmallest, 6), dtype=floattype)
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for ID, name in fields.items():
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max = np.amax(np.abs(new[:fieldssmallest,ID]))
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max = np.amax(np.abs(data1[:fieldssmallest,ID]))
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if max < threshold:
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diffs[:,ID] = 0
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diffsum = 0
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print('Detected differences of less than {} when comparing {} field component, therefore set as zero.'.format(threshold, fields[ID]))
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else:
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diffs[:,ID] = (np.abs(new[:fieldssmallest,ID] - old[:fieldssmallest,ID]) / max) * 100
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diffsum = (np.sum(np.abs(new[:fieldssmallest,ID] - old[:fieldssmallest,ID])) / np.sum(np.abs(new[:fieldssmallest,ID]))) * 100
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diffs[:,ID] = (np.abs(data1[:fieldssmallest,ID] - data2[:fieldssmallest,ID]) / max) * 100
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diffsum = (np.sum(np.abs(data1[:fieldssmallest,ID] - data2[:fieldssmallest,ID])) / np.sum(np.abs(data1[:fieldssmallest,ID]))) * 100
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print('Total differences in field component {}: {:.1f}%'.format(name, diffsum))
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# Plot new
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fig1, ((ax1, ax2), (ax3, ax4), (ax5, ax6)) = plt.subplots(nrows=3, ncols=2, sharex=False, sharey='col', subplot_kw=dict(xlabel='Time [ns]'), num=newfile + ' versus ' + oldfile, figsize=(20, 10), facecolor='w', edgecolor='w')
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ax1.plot(timenew, new[:,0],'r', lw=2, label='Ex')
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ax3.plot(timenew, new[:,2],'r', lw=2, label='Ey')
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ax5.plot(timenew, new[:,4],'r', lw=2, label='Ez')
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ax2.plot(timenew, new[:,1],'b', lw=2, label='Hx')
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ax4.plot(timenew, new[:,3],'b', lw=2, label='Hy')
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ax6.plot(timenew, new[:,5],'b', lw=2, label='Hz')
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# Plot data1
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fig1, ((ax1, ax2), (ax3, ax4), (ax5, ax6)) = plt.subplots(nrows=3, ncols=2, sharex=False, sharey='col', subplot_kw=dict(xlabel='Time [ns]'), num=filename1 + ' versus ' + filename2, figsize=(20, 10), facecolor='w', edgecolor='w')
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ax1.plot(time1, data1[:,0],'r', lw=2, label='Ex')
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ax3.plot(time1, data1[:,2],'r', lw=2, label='Ey')
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ax5.plot(time1, data1[:,4],'r', lw=2, label='Ez')
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ax2.plot(time1, data1[:,1],'b', lw=2, label='Hx')
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ax4.plot(time1, data1[:,3],'b', lw=2, label='Hy')
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ax6.plot(time1, data1[:,5],'b', lw=2, label='Hz')
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# Set ylabels
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ylabels = ['$E_x$, field strength [V/m]', '$H_x$, field strength [A/m]', '$E_y$, field strength [V/m]', '$H_y$, field strength [A/m]', '$E_z$, field strength [V/m]', '$H_z$, field strength [A/m]']
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@@ -91,24 +91,24 @@ ylabels = ['$E_x$, field strength [V/m]', '$H_x$, field strength [A/m]', '$E_y$,
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# Turn on grid
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[ax.grid() for ax in fig1.axes]
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# Add old and set legend
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# Add data2 and set legend
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for index, ax in enumerate(fig1.axes):
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if plotorder[index] in [0, 2, 4]:
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ax.plot(timeold, old[:,plotorder[index]], 'r', label='old', lw=2, ls='--')
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ax.plot(time2, data2[:,plotorder[index]], 'r', label='data2', lw=2, ls='--')
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else:
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ax.plot(timeold, old[:,plotorder[index]], label='old', lw=2, ls='--')
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ax.set_xlim(0, timeold[-1])
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ax.plot(time2, data2[:,plotorder[index]], label='data2', lw=2, ls='--')
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ax.set_xlim(0, time2[-1])
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handles, existlabels = ax.get_legend_handles_labels()
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ax.legend(handles, ['Model 1', 'Model 2'])
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ax.legend(handles, [os.path.split(filename1)[1], os.path.split(filename2)[1]])
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# Plots of differences
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fig2, ((ax1, ax2), (ax3, ax4), (ax5, ax6)) = plt.subplots(nrows=3, ncols=2, sharex=False, sharey='col', subplot_kw=dict(xlabel='Time [ns]'), num='Deltas: ' + newfile + ' versus ' + oldfile, figsize=(20, 10), facecolor='w', edgecolor='w')
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ax1.plot(timenew[:timesmallest], diffs[:,0],'r', lw=2, label='Ex')
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ax3.plot(timenew[:timesmallest], diffs[:,2],'r', lw=2, label='Ey')
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ax5.plot(timenew[:timesmallest], diffs[:,4],'r', lw=2, label='Ez')
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ax2.plot(timenew[:timesmallest], diffs[:,1],'b', lw=2, label='Hx')
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ax4.plot(timenew[:timesmallest], diffs[:,3],'b', lw=2, label='Hy')
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ax6.plot(timenew[:timesmallest], diffs[:,5],'b', lw=2, label='Hz')
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fig2, ((ax1, ax2), (ax3, ax4), (ax5, ax6)) = plt.subplots(nrows=3, ncols=2, sharex=False, sharey='col', subplot_kw=dict(xlabel='Time [ns]'), num='Deltas: ' + filename1 + ' versus ' + filename2, figsize=(20, 10), facecolor='w', edgecolor='w')
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ax1.plot(time1[:timesmallest], diffs[:,0],'r', lw=2, label='Ex')
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ax3.plot(time1[:timesmallest], diffs[:,2],'r', lw=2, label='Ey')
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ax5.plot(time1[:timesmallest], diffs[:,4],'r', lw=2, label='Ez')
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ax2.plot(time1[:timesmallest], diffs[:,1],'b', lw=2, label='Hx')
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ax4.plot(time1[:timesmallest], diffs[:,3],'b', lw=2, label='Hy')
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ax6.plot(time1[:timesmallest], diffs[:,5],'b', lw=2, label='Hz')
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# Set ylabels
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ylabels = ['$E_x$', '$H_x$', '$E_y$', '$H_y$', '$E_z$', '$H_z$']
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@@ -117,11 +117,11 @@ ylabels = [ylabel + ', percentage difference [%]' for ylabel in ylabels]
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# Set axes limits and turn on grid
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[ax.grid() for ax in fig2.axes]
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[ax.set_xlim(0, timenew[timesmallest - 1]) for ax in fig2.axes]
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[ax.set_xlim(0, time1[timesmallest - 1]) for ax in fig2.axes]
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[ax.set_ylim(0, np.ceil(np.amax(np.abs(diffs)))) for ax in fig2.axes]
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# Show/print plots
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savename = os.path.abspath(os.path.dirname(newfile)) + os.sep + os.path.splitext(os.path.split(newfile)[1])[0] + '_vs_' + os.path.splitext(os.path.split(oldfile)[1])[0]
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savename = os.path.abspath(os.path.dirname(filename1)) + os.sep + os.path.splitext(os.path.split(filename1)[1])[0] + '_vs_' + os.path.splitext(os.path.split(filename2)[1])[0]
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#fig1.savefig(savename + '.pdf', dpi=None, format='pdf', bbox_inches='tight', pad_inches=0.1)
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#fig2.savefig(savename + '_diffs.pdf', dpi=None, format='pdf', bbox_inches='tight', pad_inches=0.1)
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plt.show()
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