Formatting cleanups.

这个提交包含在:
Craig Warren
2017-01-26 16:23:29 +00:00
父节点 1cb71fdb2c
当前提交 c03b5efa63
共有 25 个文件被更改,包括 322 次插入328 次删除

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