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https://gitee.com/sunhf/gprMax.git
已同步 2025-08-07 04:56:51 +08:00
Formatting cleanups.
这个提交包含在:
@@ -35,13 +35,13 @@ epsr = 5
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# Observation radii and angles
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radii = np.linspace(0.1, 0.3, 20)
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theta = np.linspace(3, 357, 60)
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theta = np.deg2rad(np.append(theta, theta[0])) # Append start value to close circle
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theta = np.deg2rad(np.append(theta, theta[0])) # Append start value to close circle
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# Centre frequency of modelled antenna
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f = 1.5e9 # GSSI 1.5GHz antenna model
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f = 1.5e9 # GSSI 1.5GHz antenna model
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# Largest dimension of antenna transmitting element
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D = 0.060 # GSSI 1.5GHz antenna model
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D = 0.060 # GSSI 1.5GHz antenna model
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# Minimum value for plotting energy and ring steps (dB)
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min = -72
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@@ -51,19 +51,19 @@ step = 12
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# Critical angle and velocity
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if epsr:
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mr = 1
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z1 = np.sqrt(mr/epsr) * z0
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z1 = np.sqrt(mr / epsr) * z0
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v1 = c / np.sqrt(epsr)
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thetac = np.round(np.rad2deg(np.arcsin(v1/c)))
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wavelength = v1/f
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thetac = np.round(np.rad2deg(np.arcsin(v1 / c)))
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wavelength = v1 / f
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# Print some useful information
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print('Centre frequency: {} GHz'.format(f/1e9))
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print('Centre frequency: {} GHz'.format(f / 1e9))
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if epsr:
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print('Critical angle for Er {} is {} degrees'.format(epsr, thetac))
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print('Wavelength: {:.3f} m'.format(wavelength))
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print('Observation distance(s) from {:.3f} m ({:.1f} wavelengths) to {:.3f} m ({:.1f} wavelengths)'.format(radii[0], radii[0]/wavelength, radii[-1], radii[-1]/wavelength))
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print('Theoretical boundary between reactive & radiating near-field (0.62*sqrt((D^3/wavelength): {:.3f} m'.format(0.62 * np.sqrt((D**3)/wavelength)))
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print('Theoretical boundary between radiating near-field & far-field (2*D^2/wavelength): {:.3f} m'.format((2 * D**2)/wavelength))
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print('Observation distance(s) from {:.3f} m ({:.1f} wavelengths) to {:.3f} m ({:.1f} wavelengths)'.format(radii[0], radii[0] / wavelength, radii[-1], radii[-1] / wavelength))
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print('Theoretical boundary between reactive & radiating near-field (0.62*sqrt((D^3/wavelength): {:.3f} m'.format(0.62 * np.sqrt((D**3) / wavelength)))
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print('Theoretical boundary between radiating near-field & far-field (2*D^2/wavelength): {:.3f} m'.format((2 * D**2) / wavelength))
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# Setup figure
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fig = plt.figure(num=args.numpyfile, figsize=(8, 8), facecolor='w', edgecolor='w')
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@@ -81,15 +81,15 @@ ax.annotate('Ground', xy=(np.deg2rad(270), 0), xytext=(8, -15), textcoords='offs
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# Plot patterns
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for patt in range(0, len(radii)):
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pattplot = np.append(patterns[patt, :], patterns[patt, 0]) # Append start value to close circle
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pattplot = pattplot / np.max(np.max(patterns)) # Normalise, based on set of patterns
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pattplot = np.append(patterns[patt, :], patterns[patt, 0]) # Append start value to close circle
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pattplot = pattplot / np.max(np.max(patterns)) # Normalise, based on set of patterns
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ax.plot(theta, 10 * np.log10(pattplot), label='{:.2f}m'.format(radii[patt]), marker='.', ms=6, lw=1.5)
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# Add Hertzian dipole plot
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#hertzplot1 = np.append(hertzian[0, :], hertzian[0, 0]) # Append start value to close circle
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# hertzplot1 = np.append(hertzian[0, :], hertzian[0, 0]) # Append start value to close circle
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#hertzplot1 = hertzplot1 / np.max(np.max(hertzian))
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#ax.plot(theta, 10 * np.log10(hertzplot1), label='Inf. dipole, 0.1m', color='black', ls='-.', lw=3)
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#hertzplot2 = np.append(hertzian[-1, :], hertzian[-1, 0]) # Append start value to close circle
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# hertzplot2 = np.append(hertzian[-1, :], hertzian[-1, 0]) # Append start value to close circle
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#hertzplot2 = hertzplot2 / np.max(np.max(hertzian))
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#ax.plot(theta, 10 * np.log10(hertzplot2), label='Inf. dipole, 0.58m', color='black', ls='--', lw=3)
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@@ -103,13 +103,13 @@ ax.set_rmax(0)
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ax.set_rlabel_position(45)
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ax.set_yticks(np.arange(min, step, step))
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yticks = ax.get_yticks().tolist()
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yticks[-1]='0 dB'
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yticks[-1] = '0 dB'
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ax.set_yticklabels(yticks)
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# Grid and legend
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ax.grid(True)
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handles, existlabels = ax.get_legend_handles_labels()
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leg = ax.legend([handles[0], handles[-1]], [existlabels[0], existlabels[-1]], ncol=2, loc=(0.27,-0.12), frameon=False) # Plot just first and last legend entries
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leg = ax.legend([handles[0], handles[-1]], [existlabels[0], existlabels[-1]], ncol=2, loc=(0.27, -0.12), frameon=False) # Plot just first and last legend entries
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#leg = ax.legend([handles[0], handles[-3], handles[-2], handles[-1]], [existlabels[0], existlabels[-3], existlabels[-2], existlabels[-1]], ncol=4, loc=(-0.13,-0.12), frameon=False)
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[legobj.set_linewidth(2) for legobj in leg.legendHandles]
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@@ -120,4 +120,3 @@ fig.savefig(savename, dpi=None, format='pdf', bbox_inches='tight', pad_inches=0.
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#fig.savefig(savename, dpi=150, format='png', bbox_inches='tight', pad_inches=0.1)
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plt.show()
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