diff --git a/docs/source/input.rst b/docs/source/input.rst index 3129e957..717c2ef6 100644 --- a/docs/source/input.rst +++ b/docs/source/input.rst @@ -794,7 +794,7 @@ Allows you to introduce output points into the model. These are locations where .. note:: - * When the optional parameters ``str1`` and ``str2`` are not given all the electric and magnetic field components and currents will be output with the receiver point. + * When the optional parameters ``str1`` and ``str2`` are not given all the electric and magnetic field components will be output with the receiver point. #rx_array: ---------- diff --git a/docs/source/plotting.rst b/docs/source/plotting.rst index 6d84190d..69978b07 100644 --- a/docs/source/plotting.rst +++ b/docs/source/plotting.rst @@ -21,7 +21,7 @@ where ``outputfile`` is the name of output file including the path. There are optional command line arguments: -* ``--outputs`` to specify a subset of the default output components (``Ex``, ``Ey``, ``Ez``, ``Hx``, ``Hy``, ``Hz``, ``Ix``, ``Iy`` or ``Iz``) to plot. By default all components are plotted. +* ``--outputs`` to specify a subset of the default output components (``Ex``, ``Ey``, ``Ez``, ``Hx``, ``Hy``, ``Hz``, ``Ix``, ``Iy`` or ``Iz``) to plot. By default all electric and magnetic field components are plotted. * ``-fft`` to plot the Fast Fourier Transform (FFT) of a single output component For example to plot the ``Ez`` output component with it's FFT: diff --git a/gprMax/input_cmds_multiuse.py b/gprMax/input_cmds_multiuse.py index 9abb78be..bae08a76 100644 --- a/gprMax/input_cmds_multiuse.py +++ b/gprMax/input_cmds_multiuse.py @@ -343,7 +343,7 @@ def process_multicmds(multicmds, G): # If no ID or outputs are specified, use default i.e Ex, Ey, Ez, Hx, Hy, Hz, Ix, Iy, Iz if len(tmp) == 3: r.ID = r.__class__.__name__ + '(' + str(r.xcoord) + ',' + str(r.ycoord) + ',' + str(r.zcoord) + ')' - for key in Rx.availableoutputs: + for key in Rx.defaultoutputs: r.outputs[key] = np.zeros(G.iterations, dtype=floattype) else: r.ID = tmp[3] @@ -418,7 +418,7 @@ def process_multicmds(multicmds, G): r.ycoordorigin = y r.zcoordorigin = z r.ID = r.__class__.__name__ + '(' + str(x) + ',' + str(y) + ',' + str(z) + ')' - for key in Rx.availableoutputs: + for key in Rx.defaultoutputs: r.outputs[key] = np.zeros(G.iterations, dtype=floattype) if G.messages: print(' Receiver at {:g}m, {:g}m, {:g}m with output component(s) {} created.'.format(r.xcoord * G.dx, r.ycoord * G.dy, r.zcoord * G.dz, ', '.join(r.outputs))) diff --git a/gprMax/receivers.py b/gprMax/receivers.py index 81343cb7..7aa56217 100644 --- a/gprMax/receivers.py +++ b/gprMax/receivers.py @@ -25,6 +25,7 @@ class Rx(object): """Receiver output points.""" availableoutputs = ['Ex', 'Ey', 'Ez', 'Hx', 'Hy', 'Hz', 'Ix', 'Iy', 'Iz'] + defaultoutputs = availableoutputs[:-3] def __init__(self): diff --git a/tools/Jupyter notebooks/example_Ascan_2D.ipynb b/tools/Jupyter notebooks/example_Ascan_2D.ipynb index c1609f39..ffc7166f 100644 --- a/tools/Jupyter notebooks/example_Ascan_2D.ipynb +++ b/tools/Jupyter notebooks/example_Ascan_2D.ipynb @@ -90,11 +90,35 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": { "collapsed": false }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Waveform characteristics...\n", + "Type: ricker\n", + "Maximum amplitude: 1\n", + "Centre frequency: 1.5e+09 Hz\n", + "Time to centre of pulse: 9.42809e-10 s\n", + "Time window: 3e-09 s (1559 iterations)\n", + "Time step: 1.926e-12 s\n" + ] + }, + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAABmIAAANKCAYAAACZB1GLAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nkAAAAABJRU5ErkJggg==\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "%matplotlib inline\n", "from gprMax.waveforms import Waveform\n", @@ -122,12 +146,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": { "collapsed": false, "scrolled": true }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Minimum wavelength: 0.0305974 m\n", + "Maximum spatial resolution: 0.00305974 m\n" + ] + } + ], "source": [ "from math import sqrt\n", "\n", @@ -169,11 +202,19 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": { "collapsed": false }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Minimum time window: 1.47071e-09 s\n" + ] + } + ], "source": [ "d = 0.090\n", "t = (2 * d) / (c / sqrt(6))\n", @@ -213,7 +254,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "metadata": { "collapsed": false }, @@ -223,59 +264,51 @@ "output_type": "stream", "text": [ "\n", - "********************************************************************\n", + "--- Model 1 of 1, input file: /Users/cwarren/Documents/Git-projects/gprMax/user_models/cylinder_Ascan_2D.in -------------------------------------------------------------------------------------------\n", "\n", - "Model input file: /Users/cwarren/Documents/Git-projects/gprMax/user_models/cylinder_Ascan_2D.in\n", - "\n", - "Constants/variables available for Python scripting: {'input_directory': '/Users/cwarren/Documents/Git-projects/gprMax/user_models', 'e0': 8.854187817620389e-12, 'z0': 376.73031346177066, 'm0': 1.2566370614359173e-06, 'number_model_runs': 1, 'c': 299792458.0, 'current_model_run': 1}\n", + "Constants/variables used/available for Python scripting: {c: 299792458.0, current_model_run: 1, e0: 8.854187817620389e-12, input_directory: /Users/cwarren/Documents/Git-projects/gprMax/user_models, m0: 1.2566370614359173e-06, number_model_runs: 1, z0: 376.73031346177066}\n", "\n", "Model title: A-scan from a metal cylinder buried in a dielectric half-space\n", "Number of threads: 4\n", "Spatial discretisation: 0.002 x 0.002 x 0.002m\n", "Domain size: 0.24 x 0.21 x 0.002m (120 x 105 x 1 = 12600 cells)\n", - "Memory (RAM) usage: ~30.5MiB required, 32.0GiB available\n", + "Memory (RAM) required: ~71.8MB (32GiB detected)\n", "Time step (at 2D CFL limit): 4.71731e-12 secs\n", "Time window: 3e-09 secs (637 iterations)\n", - "Waveform my_ricker of type ricker with amplitude 1, frequency 1.5e+09Hz created.\n", + "\n", + "Waveform my_ricker of type ricker with maximum amplitude scaling 1, frequency 1.5e+09Hz created.\n", "Hertzian dipole with polarity z at 0.1m, 0.17m, 0m, using waveform my_ricker created.\n", - "Receiver at 0.14m, 0.17m, 0m with output(s) Ex, Ey, Ez, Hx, Hy, Hz, Ix, Iy, Iz created.\n", + "Receiver at 0.14m, 0.17m, 0m with output component(s) Ex, Ey, Ez, Hx, Hy, Hz, Ix, Iy, Iz created.\n", "Material half_space with epsr=6, sig=0 S/m; mur=1, sig*=0 S/m created.\n", - "Geometry view from 0m, 0m, 0m, to 0.24m, 0.21m, 0.002m, discretisation 0.002m, 0.002m, 0.002m, filename cylinder_half_space created.\n", - "Box from 0m, 0m, 0m, to 0.24m, 0.17m, 0.002m of material(s) half_space created, dielectric smoothing is on.\n", + "Geometry view from 0m, 0m, 0m, to 0.24m, 0.21m, 0.002m, discretisation 0.002m, 0.002m, 0.002m, with filename base cylinder_half_space created.\n", + "Processing geometry related cmds: 0%| | 0/2 [00:00" + "" ] }, "metadata": {}, @@ -328,15 +361,16 @@ "from tools.plot_Ascan import mpl_plot\n", "\n", "filename = os.path.join(os.pardir, os.pardir, 'user_models', 'cylinder_Ascan_2D.out')\n", - "outputs = Rx.availableoutputs\n", + "outputs = Rx.defaultoutputs\n", "#outputs = ['Ez']\n", "plt = mpl_plot(filename, outputs, fft=False)" ] } ], "metadata": { + "anaconda-cloud": {}, "kernelspec": { - "display_name": "Python 3", + "display_name": "Python [default]", "language": "python", "name": "python3" }, @@ -350,7 +384,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.5.1" + "version": "3.5.2" } }, "nbformat": 4, diff --git a/tools/Jupyter notebooks/plot_Ascan.ipynb b/tools/Jupyter notebooks/plot_Ascan.ipynb index 55987376..40482f4c 100644 --- a/tools/Jupyter notebooks/plot_Ascan.ipynb +++ b/tools/Jupyter notebooks/plot_Ascan.ipynb @@ -8,7 +8,7 @@ "\n", "In the ``tools`` sub-package is a module called ``plot_Ascan`` which can be used to plot A-scans or single traces from models. The module will plot electric and magnetic field components and currents from any outputs (defined using the ``#rx`` command) in a model. When a single field component or current is specified, a FFT can also be plotted. The module takes an argument which is the name of the output file and several optional arguments:\n", "\n", - "* ``--outputs`` which can be any field component or current, i.e. ``Ex``, ``Ey``, ``Ez``, ``Hx``, ``Hy``, ``Hz``, ``Ix``, ``Iy``, or ``Iz``, so long as those components or currents were specified in the output in the model (default is for all components and currents to be plotted)\n", + "* ``--outputs`` which can be any field component or current, i.e. ``Ex``, ``Ey``, ``Ez``, ``Hx``, ``Hy``, ``Hz``, ``Ix``, ``Iy``, or ``Iz``, so long as those components or currents were specified in the output in the model (default is for all electric and magnetic field components to be plotted)\n", "* ``-fft`` a switch to turn on the FFT plotting for a single field component or current\n", "\n", "Each output (``#rx``) from a model will be plotted in a separate figure window.\n", @@ -27,16 +27,16 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, "metadata": { "collapsed": false }, "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAABKUAAAJeCAYAAABlOLarAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAAAACmoygFAAAAAAAA030DNYlQeVNzVrMAAAAASUVORK5CYII=\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAABnQAAANKCAYAAACzt6AkAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nmmSzAAAAAElFTkSuQmCC\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -50,7 +50,7 @@ "from tools.plot_Ascan import mpl_plot\n", "\n", "filename = os.path.join(os.pardir, os.pardir, 'user_models', 'cylinder_Ascan_2D.out')\n", - "#outputs = Rx.availableoutputs\n", + "outputs = Rx.defaultoutputs\n", "outputs = ['Ez']\n", "plt = mpl_plot(filename, outputs, fft=False)" ] @@ -58,7 +58,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python [default]", "language": "python", "name": "python3" }, @@ -72,7 +72,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.5.1" + "version": "3.5.2" } }, "nbformat": 4, diff --git a/tools/MATLAB scripts/plot_Ascan.m b/tools/MATLAB scripts/plot_Ascan.m index 08b64ba3..24ebdb8e 100644 --- a/tools/MATLAB scripts/plot_Ascan.m +++ b/tools/MATLAB scripts/plot_Ascan.m @@ -29,9 +29,6 @@ if filename ~= 0 fields.hx = zeros(header.iterations, header.nrx); fields.hy = zeros(header.iterations, header.nrx); fields.hz = zeros(header.iterations, header.nrx); - fields.ix = zeros(header.iterations, header.nrx); - fields.iy = zeros(header.iterations, header.nrx); - fields.iz = zeros(header.iterations, header.nrx); % Save and plot fields from each receiver for n=1:header.nrx @@ -47,29 +44,15 @@ if filename ~= 0 fields.hx(:,n) = h5read(fullfilename, strcat(path, 'Hx')); fields.hy(:,n) = h5read(fullfilename, strcat(path, 'Hy')); fields.hz(:,n) = h5read(fullfilename, strcat(path, 'Hz')); - fields.ix(:,n) = h5read(fullfilename, strcat(path, 'Ix')); - fields.iy(:,n) = h5read(fullfilename, strcat(path, 'Iy')); - fields.iz(:,n) = h5read(fullfilename, strcat(path, 'Iz')); fh1=figure('Name', strcat('rx', num2str(n))); - ax1 = subplot(3,3,1); plot(time, fields.ex(:,n), 'r', 'LineWidth', 2), grid on, xlabel('Time [ns]'), ylabel('Field strength [V/m]'), title('E_x') - ax2 = subplot(3,3,4); plot(time, fields.ey(:,n), 'r', 'LineWidth', 2), grid on, xlabel('Time [ns]'), ylabel('Field strength [V/m]'), title('E_y') - ax3 = subplot(3,3,7); plot(time, fields.ez(:,n), 'r', 'LineWidth', 2), grid on, xlabel('Time [ns]'), ylabel('Field strength [V/m]'), title('E_z') - ax4 = subplot(3,3,2); plot(time, fields.hx(:,n), 'b', 'LineWidth', 2), grid on, xlabel('Time [ns]'), ylabel('Field strength [A/m]'), title('H_x') - ax5 = subplot(3,3,5); plot(time, fields.hy(:,n), 'b', 'LineWidth', 2), grid on, xlabel('Time [ns]'), ylabel('Field strength [A/m]'), title('H_y') - ax6 = subplot(3,3,8); plot(time, fields.hz(:,n), 'b', 'LineWidth', 2), grid on, xlabel('Time [ns]'), ylabel('Field strength [A/m]'), title('H_z') - ax7 = subplot(3,3,3); plot(time, fields.ix(:,n), 'g', 'LineWidth', 2), grid on, xlabel('Time [ns]'), ylabel('Current [A]'), title('I_x') - ax8 = subplot(3,3,6); plot(time, fields.iy(:,n), 'g', 'LineWidth', 2), grid on, xlabel('Time [ns]'), ylabel('Current [A]'), title('I_y') - ax9 = subplot(3,3,9); plot(time, fields.iz(:,n), 'g', 'LineWidth', 2), grid on, xlabel('Time [ns]'), ylabel('Current [A]'), title('I_z') - ax1.FontSize = 16; - ax2.FontSize = ax1.FontSize; - ax3.FontSize = ax1.FontSize; - ax4.FontSize = ax1.FontSize; - ax5.FontSize = ax1.FontSize; - ax6.FontSize = ax1.FontSize; - ax7.FontSize = ax1.FontSize; - ax8.FontSize = ax1.FontSize; - ax9.FontSize = ax1.FontSize; + ax(1) = subplot(3,2,1); plot(time, fields.ex(:,n), 'r', 'LineWidth', 2), grid on, xlabel('Time [ns]'), ylabel('Field strength [V/m]'), title('E_x') + ax(2) = subplot(3,2,3); plot(time, fields.ey(:,n), 'r', 'LineWidth', 2), grid on, xlabel('Time [ns]'), ylabel('Field strength [V/m]'), title('E_y') + ax(3) = subplot(3,2,5); plot(time, fields.ez(:,n), 'r', 'LineWidth', 2), grid on, xlabel('Time [ns]'), ylabel('Field strength [V/m]'), title('E_z') + ax(4) = subplot(3,2,2); plot(time, fields.hx(:,n), 'b', 'LineWidth', 2), grid on, xlabel('Time [ns]'), ylabel('Field strength [A/m]'), title('H_x') + ax(5) = subplot(3,2,4); plot(time, fields.hy(:,n), 'b', 'LineWidth', 2), grid on, xlabel('Time [ns]'), ylabel('Field strength [A/m]'), title('H_y') + ax(6) = subplot(3,2,6); plot(time, fields.hz(:,n), 'b', 'LineWidth', 2), grid on, xlabel('Time [ns]'), ylabel('Field strength [A/m]'), title('H_z') + set(ax,'FontSize', 16, 'xlim', [0 time(end)]); % Options to create a nice looking figure for display and printing set(fh1,'Color','white','Menubar','none'); @@ -90,4 +73,4 @@ if filename ~= 0 set(fh1,'PaperPosition', [xMargin yMargin xSize ySize]) set(fh1,'PaperOrientation', 'portrait') end -end \ No newline at end of file +end diff --git a/tools/plot_Ascan.py b/tools/plot_Ascan.py index 913265a5..5dbf7172 100644 --- a/tools/plot_Ascan.py +++ b/tools/plot_Ascan.py @@ -29,7 +29,7 @@ from gprMax.exceptions import CmdInputError from gprMax.receivers import Rx -def mpl_plot(filename, outputs=Rx.availableoutputs, fft=False): +def mpl_plot(filename, outputs=Rx.defaultoutputs, fft=False): """Plots electric and magnetic fields and currents from all receiver points in the given output file. Each receiver point is plotted in a new figure window. Args: @@ -121,12 +121,12 @@ def mpl_plot(filename, outputs=Rx.availableoutputs, fft=False): plt.setp(ax1, ylabel=outputtext + ' field strength [A/m]') plt.setp(stemlines, 'color', 'g') plt.setp(markerline, 'markerfacecolor', 'g', 'markeredgecolor', 'g') - elif 'I' in outputs[0]: - plt.setp(line1, color='b') - plt.setp(line2, color='b') - plt.setp(ax1, ylabel=outputtext + ' current [A]') - plt.setp(stemlines, 'color', 'b') - plt.setp(markerline, 'markerfacecolor', 'b', 'markeredgecolor', 'b') +# elif 'I' in outputs[0]: +# plt.setp(line1, color='b') +# plt.setp(line2, color='b') +# plt.setp(ax1, ylabel=outputtext + ' current [A]') +# plt.setp(stemlines, 'color', 'b') +# plt.setp(markerline, 'markerfacecolor', 'b', 'markeredgecolor', 'b') plt.show() @@ -141,14 +141,14 @@ def mpl_plot(filename, outputs=Rx.availableoutputs, fft=False): if 'H' in output: plt.setp(line, color='g') plt.setp(ax, ylabel=outputtext + ', field strength [A/m]') - elif 'I' in output: - plt.setp(line, color='b') - plt.setp(ax, ylabel=outputtext + ', current [A]') +# elif 'I' in output: +# plt.setp(line, color='b') +# plt.setp(ax, ylabel=outputtext + ', current [A]') # If multiple outputs required, create all nine subplots and populate only the specified ones else: fig, ax = plt.subplots(subplot_kw=dict(xlabel='Time [s]'), num='rx' + str(rx), figsize=(20, 10), facecolor='w', edgecolor='w') - gs = gridspec.GridSpec(3, 3, hspace=0.3, wspace=0.3) + gs = gridspec.GridSpec(3, 2, hspace=0.3, wspace=0.3) for output in outputs: # Check for polarity of output and if requested output is in file @@ -196,25 +196,25 @@ def mpl_plot(filename, outputs=Rx.availableoutputs, fft=False): ax.plot(time, outputdata,'g', lw=2, label=outputtext) ax.set_ylabel(outputtext + ', field strength [A/m]') #ax.set_ylim([-0.03, 0.03]) - elif output == 'Ix': - ax = plt.subplot(gs[0, 2]) - ax.plot(time, outputdata,'b', lw=2, label=outputtext) - ax.set_ylabel(outputtext + ', current [A]') - elif output == 'Iy': - ax = plt.subplot(gs[1, 2]) - ax.plot(time, outputdata,'b', lw=2, label=outputtext) - ax.set_ylabel(outputtext + ', current [A]') - elif output == 'Iz': - ax = plt.subplot(gs[2, 2]) - ax.plot(time, outputdata,'b', lw=2, label=outputtext) - ax.set_ylabel(outputtext + ', current [A]') +# elif output == 'Ix': +# ax = plt.subplot(gs[0, 2]) +# ax.plot(time, outputdata,'b', lw=2, label=outputtext) +# ax.set_ylabel(outputtext + ', current [A]') +# elif output == 'Iy': +# ax = plt.subplot(gs[1, 2]) +# ax.plot(time, outputdata,'b', lw=2, label=outputtext) +# ax.set_ylabel(outputtext + ', current [A]') +# elif output == 'Iz': +# ax = plt.subplot(gs[2, 2]) +# ax.plot(time, outputdata,'b', lw=2, label=outputtext) +# ax.set_ylabel(outputtext + ', current [A]') for ax in fig.axes: ax.set_xlim([0, np.amax(time)]) ax.grid() # Save a PDF/PNG of the figure - #fig.savefig(os.path.splitext(os.path.abspath(filename))[0] + '_rx' + str(rx) + '.pdf', dpi=None, format='pdf', bbox_inches='tight', pad_inches=0.1) - #fig.savefig(os.path.splitext(os.path.abspath(filename))[0] + '_rx' + str(rx) + '.png', dpi=150, format='png', bbox_inches='tight', pad_inches=0.1) +# fig.savefig(os.path.splitext(os.path.abspath(filename))[0] + '_rx' + str(rx) + '.pdf', dpi=None, format='pdf', bbox_inches='tight', pad_inches=0.1) +# fig.savefig(os.path.splitext(os.path.abspath(filename))[0] + '_rx' + str(rx) + '.png', dpi=150, format='png', bbox_inches='tight', pad_inches=0.1) return plt