你已经派生过 gprMax
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https://gitee.com/sunhf/gprMax.git
已同步 2025-08-06 12:36:51 +08:00
Changed axes settings to seconds rather than nano-seconds. Added option to put 'm' character before output name to invert it, e.g. 'mEy' is '-Ey'. Can't use the minus sign as it is interpreted as a flag at the command line.
这个提交包含在:
@@ -41,7 +41,6 @@ nrx = f.attrs['nrx']
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dt = f.attrs['dt']
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iterations = f.attrs['Iterations']
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time = np.arange(0, dt * iterations, dt)
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time = time / 1e-9
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# Check for single output component when doing a FFT
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if args.fft:
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@@ -56,12 +55,20 @@ for rx in range(1, nrx + 1):
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# If only a single output is required, create one subplot
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if len(args.outputs) == 1:
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# Check if requested output is in file
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# Check for polarity of output and if requested output is in file
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if args.outputs[0][0] == 'm':
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polarity = -1
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outputtext = '-' + args.outputs[0][1:]
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args.outputs[0] = args.outputs[0][1:]
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else:
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polarity = 1
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outputtext = args.outputs[0]
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if args.outputs[0] not in availableoutputs:
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raise CmdInputError('{} output requested to plot, but the available output for receiver 1 is {}'.format(args.outputs[0], ', '.join(availableoutputs)))
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outputdata = f[path + args.outputs[0]][:]
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outputdata = f[path + args.outputs[0]][:] * polarity
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# Plotting if FFT required
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if args.fft:
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# Calculate magnitude of frequency spectra of waveform
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@@ -80,26 +87,32 @@ for rx in range(1, nrx + 1):
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# Plot time history of output component
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fig, (ax1, ax2) = plt.subplots(nrows=1, ncols=2, num='rx' + str(rx), figsize=(20, 10), facecolor='w', edgecolor='w')
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line1 = ax1.plot(time, outputdata, 'r', lw=2, label=args.outputs[0])
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ax1.set_xlabel('Time [ns]')
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ax1.set_ylabel(args.outputs[0] + ' field strength [V/m]')
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ax1.set_xlabel('Time [s]')
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ax1.set_ylabel(outputtext + ' field strength [V/m]')
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ax1.set_xlim([0, np.amax(time)])
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ax1.grid()
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# Plot frequency spectra
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markerline, stemlines, baseline = ax2.stem(freqs[pltrange]/1e9, power[pltrange], '-.')
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markerline, stemlines, baseline = ax2.stem(freqs[pltrange], power[pltrange], '-.')
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plt.setp(baseline, 'linewidth', 0)
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plt.setp(stemlines, 'color', 'r')
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plt.setp(markerline, 'markerfacecolor', 'r', 'markeredgecolor', 'r')
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line2 = ax2.plot(freqs[pltrange]/1e9, power[pltrange], 'r', lw=2)
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ax2.set_xlabel('Frequency [GHz]')
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ax2.set_xlabel('Frequency [Hz]')
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ax2.set_ylabel('Power [dB]')
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ax2.grid()
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# Change colours and labels for magnetic field components
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# Change colours and labels for magnetic field components or currents
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if 'H' in args.outputs[0]:
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plt.setp(line1, color='g')
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plt.setp(line2, color='g')
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plt.setp(ax1, ylabel=outputtext + ' field strength [A/m]')
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plt.setp(stemlines, 'color', 'g')
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plt.setp(markerline, 'markerfacecolor', 'g', 'markeredgecolor', 'g')
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elif 'I' in args.outputs[0]:
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plt.setp(line1, color='b')
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plt.setp(line2, color='b')
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plt.setp(ax1, ylabel=args.outputs[0] + ' field strength [A/m]')
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plt.setp(ax1, ylabel=outputtext + ' current [A]')
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plt.setp(stemlines, 'color', 'b')
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plt.setp(markerline, 'markerfacecolor', 'b', 'markeredgecolor', 'b')
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@@ -107,64 +120,75 @@ for rx in range(1, nrx + 1):
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# Plotting if no FFT required
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else:
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fig, ax = plt.subplots(subplot_kw=dict(xlabel='Time [ns]', ylabel=args.outputs[0] + ' field strength [V/m]'), num='rx' + str(rx), figsize=(20, 10), facecolor='w', edgecolor='w')
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line = ax.plot(time, outputdata,'r', lw=2, label=args.outputs[0])
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fig, ax = plt.subplots(subplot_kw=dict(xlabel='Time [s]', ylabel=outputtext + ' field strength [V/m]'), num='rx' + str(rx), figsize=(20, 10), facecolor='w', edgecolor='w')
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line = ax.plot(time, outputdata,'r', lw=2, label=outputtext)
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ax.set_xlim([0, np.amax(time)])
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ax.grid()
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if 'H' in args.outputs[0]:
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plt.setp(line, color='b')
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plt.setp(ax, ylabel=args.outputs[0] + ', field strength [A/m]')
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plt.setp(line, color='g')
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plt.setp(ax, ylabel=outputtext + ', field strength [A/m]')
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elif 'I' in args.outputs[0]:
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plt.setp(line, color='b')
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plt.setp(ax, ylabel=args.outputs[0] + ', current [A]')
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plt.setp(ax, ylabel=outputtext + ', current [A]')
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# If multiple fields required, creat all nine subplots and populate only the specified ones
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else:
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fig, ax = plt.subplots(subplot_kw=dict(xlabel='Time [ns]'), num='rx' + str(rx), figsize=(20, 10), facecolor='w', edgecolor='w')
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fig, ax = plt.subplots(subplot_kw=dict(xlabel='Time [s]'), num='rx' + str(rx), figsize=(20, 10), facecolor='w', edgecolor='w')
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gs = gridspec.GridSpec(3, 3, hspace=0.3, wspace=0.3)
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for output in args.outputs:
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# Check for polarity of output and if requested output is in file
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if output[0] == 'm':
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polarity = -1
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outputtext = '-' + output[1:]
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output = output[1:]
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else:
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polarity = 1
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outputtext = output
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# Check if requested output is in file
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if output not in availableoutputs:
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raise CmdInputError('Output(s) requested to plot: {}, but available output(s) for receiver {} in the file: {}'.format(', '.join(args.outputs), rx, ', '.join(availableoutputs)))
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outputdata = f[path + output][:]
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outputdata = f[path + output][:] * polarity
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if output == 'Ex':
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ax = plt.subplot(gs[0, 0])
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ax.plot(time, outputdata,'r', lw=2, label=output)
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ax.set_ylabel(output + ', field strength [V/m]')
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ax.plot(time, outputdata,'r', lw=2, label=outputtext)
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ax.set_ylabel(outputtext + ', field strength [V/m]')
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elif output == 'Ey':
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ax = plt.subplot(gs[1, 0])
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ax.plot(time, outputdata,'r', lw=2, label=output)
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ax.set_ylabel(output + ', field strength [V/m]')
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ax.plot(time, outputdata,'r', lw=2, label=outputtext)
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ax.set_ylabel(outputtext + ', field strength [V/m]')
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elif output == 'Ez':
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ax = plt.subplot(gs[2, 0])
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ax.plot(time, outputdata,'r', lw=2, label=output)
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ax.set_ylabel(output + ', field strength [V/m]')
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ax.plot(time, outputdata,'r', lw=2, label=outputtext)
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ax.set_ylabel(outputtext + ', field strength [V/m]')
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elif output == 'Hx':
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ax = plt.subplot(gs[0, 1])
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ax.plot(time, outputdata,'b', lw=2, label=output)
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ax.set_ylabel(output + ', field strength [A/m]')
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ax.plot(time, outputdata,'g', lw=2, label=outputtext)
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ax.set_ylabel(outputtext + ', field strength [A/m]')
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elif output == 'Hy':
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ax = plt.subplot(gs[1, 1])
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ax.plot(time, outputdata,'b', lw=2, label=output)
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ax.set_ylabel(output + ', field strength [A/m]')
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ax.plot(time, outputdata,'g', lw=2, label=outputtext)
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ax.set_ylabel(outputtext + ', field strength [A/m]')
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elif output == 'Hz':
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ax = plt.subplot(gs[2, 1])
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ax.plot(time, outputdata,'b', lw=2, label=output)
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ax.set_ylabel(output + ', field strength [A/m]')
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ax.plot(time, outputdata,'g', lw=2, label=outputtext)
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ax.set_ylabel(outputtext + ', field strength [A/m]')
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elif output == 'Ix':
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ax = plt.subplot(gs[0, 2])
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ax.plot(time, outputdata,'b', lw=2, label=output)
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ax.set_ylabel(output + ', current [A]')
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ax.plot(time, outputdata,'b', lw=2, label=outputtext)
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ax.set_ylabel(outputtext + ', current [A]')
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elif output == 'Iy':
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ax = plt.subplot(gs[1, 2])
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ax.plot(time, outputdata,'b', lw=2, label=output)
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ax.set_ylabel(output + ', current [A]')
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ax.plot(time, outputdata,'b', lw=2, label=outputtext)
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ax.set_ylabel(outputtext + ', current [A]')
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elif output == 'Iz':
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ax = plt.subplot(gs[2, 2])
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ax.plot(time, outputdata,'b', lw=2, label=output)
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ax.set_ylabel(output + ', current [A]')
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ax.plot(time, outputdata,'b', lw=2, label=outputtext)
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ax.set_ylabel(outputtext + ', current [A]')
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for ax in fig.axes:
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ax.set_xlim([0, np.amax(time)])
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ax.grid()
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