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https://gitee.com/sunhf/gprMax.git
已同步 2025-08-06 12:36:51 +08:00
Restructuring of plot functions for Jupyter notebooks.
这个提交包含在:
@@ -24,55 +24,75 @@ import matplotlib.pyplot as plt
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from gprMax.exceptions import CmdInputError
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def make_plot(filename, output):
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"""Plots a B-scan image.
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def get_output_data(filename, rxnumber, rxcomponent):
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"""Gets B-scan output data from a model.
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Args:
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Args:
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filename (string): Filename (including path) of output file.
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output (string): Field/current component to plot.
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rxnumber (int): Receiver output number.
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rxcomponent (str): Receiver output field/current component.
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Returns:
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outputdata (array): Array of A-scans, i.e. B-scan data.
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dt (float): Temporal resolution of the model.
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"""
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# Open output file and read some attributes
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f = h5py.File(filename, 'r')
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nrx = f.attrs['nrx']
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dt = f.attrs['dt']
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# Check there are any receivers
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if nrx == 0:
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raise CmdInputError('No receivers found in {}'.format(filename))
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for rx in range(1, nrx + 1):
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path = '/rxs/rx' + str(rx) + '/'
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availableoutputs = list(f[path].keys())
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path = '/rxs/rx' + str(rxnumber) + '/'
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availableoutputs = list(f[path].keys())
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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 requested to plot, but the available output for receiver 1 is {}'.format(output, ', '.join(availableoutputs)))
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# Check if requested output is in file
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if rxcomponent not in availableoutputs:
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raise CmdInputError('{} output requested to plot, but the available output for receiver 1 is {}'.format(rxcomponent, ', '.join(availableoutputs)))
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outputdata = f[path + '/' + output]
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outputdata = f[path + '/' + rxcomponent]
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outputdata = np.array(outputdata)
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# Check that there is more than one A-scan present
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if outputdata.shape[1] == 1:
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raise CmdInputError('{} contains only a single A-scan.'.format(filename))
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# Check that there is more than one A-scan present
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if outputdata.shape[1] == 1:
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raise CmdInputError('{} contains only a single A-scan.'.format(filename))
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# Plot B-scan image
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fig = plt.figure(num='rx' + str(rx), figsize=(20, 10), facecolor='w', edgecolor='w')
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plt.imshow(outputdata, extent=[0, outputdata.shape[1], outputdata.shape[0]*f.attrs['dt'], 0], interpolation='nearest', aspect='auto', cmap='seismic', vmin=-np.amax(np.abs(outputdata)), vmax=np.amax(np.abs(outputdata)))
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plt.xlabel('Trace number')
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plt.ylabel('Time [s]')
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plt.grid()
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cb = plt.colorbar()
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if 'E' in args.output:
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cb.set_label('Field strength [V/m]')
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elif 'H' in args.output:
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cb.set_label('Field strength [A/m]')
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elif 'I' in args.output:
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cb.set_label('Current [A]')
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return outputdata, dt
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# Save a PDF/PNG of the figure
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#fig.savefig(os.path.splitext(os.path.abspath(args.outputfile))[0] + '.pdf', dpi=None, format='pdf', bbox_inches='tight', pad_inches=0.1)
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#fig.savefig(os.path.splitext(os.path.abspath(args.outputfile))[0] + '.png', dpi=150, format='png', bbox_inches='tight', pad_inches=0.1)
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def mpl_plot(outputdata, dt, rxnumber, rxcomponent):
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"""Creates a plot (with matplotlib) of the B-scan.
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Args:
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outputdata (array): Array of A-scans, i.e. B-scan data.
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dt (float): Temporal resolution of the model.
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rxnumber (int): Receiver output number.
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rxcomponent (str): Receiver output field/current component.
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Returns:
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plt (object): matplotlib plot object.
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"""
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plt.show()
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fig = plt.figure(num='rx' + str(rxnumber), figsize=(20, 10), facecolor='w', edgecolor='w')
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plt.imshow(outputdata, extent=[0, outputdata.shape[1], outputdata.shape[0]*dt, 0], interpolation='nearest', aspect='auto', cmap='seismic', vmin=-np.amax(np.abs(outputdata)), vmax=np.amax(np.abs(outputdata)))
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plt.xlabel('Trace number')
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plt.ylabel('Time [s]')
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plt.grid()
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cb = plt.colorbar()
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if 'E' in rxcomponent:
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cb.set_label('Field strength [V/m]')
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elif 'H' in rxcomponent:
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cb.set_label('Field strength [A/m]')
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elif 'I' in rxcomponent:
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cb.set_label('Current [A]')
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# Save a PDF/PNG of the figure
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#fig.savefig('Bscan' + str(rxnumber) + '.pdf', dpi=None, format='pdf', bbox_inches='tight', pad_inches=0.1)
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#fig.savefig('Bscan' + str(rxnumber) + '.png', dpi=150, format='png', bbox_inches='tight', pad_inches=0.1)
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return plt
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if __name__ == "__main__":
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@@ -80,7 +100,20 @@ if __name__ == "__main__":
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# Parse command line arguments
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parser = argparse.ArgumentParser(description='Plots a B-scan image.', usage='cd gprMax; python -m tools.plot_Bscan outputfile output')
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parser.add_argument('outputfile', help='name of output file including path')
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parser.add_argument('output', help='name of output component to be plotted', choices=['Ex', 'Ey', 'Ez', 'Hx', 'Hy', 'Hz', 'Ix', 'Iy', 'Iz'])
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parser.add_argument('rx_component', help='name of output component to be plotted', choices=['Ex', 'Ey', 'Ez', 'Hx', 'Hy', 'Hz', 'Ix', 'Iy', 'Iz'])
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args = parser.parse_args()
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make_plot(args.outputfile, args.output)
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# Open output file and read number of outputs (receivers)
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f = h5py.File(args.outputfile, 'r')
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nrx = f.attrs['nrx']
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f.close()
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# Check there are any receivers
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if nrx == 0:
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raise CmdInputError('No receivers found in {}'.format(args.outputfile))
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for rx in range(1, nrx + 1):
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outputdata, dt = get_output_data(args.outputfile, rx, args.rx_component)
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plt = mpl_plot(outputdata, dt, rx, args.rx_component)
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plt.show()
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