def plotter(z, x, y, pixelaspect, **kwargs):
xinches = len(x)/float(dpi)
yinches = len(y)/float(dpi)*pixelaspect
figsize = (xinches + 1.5, yinches + 1)
fig = plt.figure(figsize=figsize)
ax = plt.subplot(111)
el.make_axes_fixed(ax, xinches, yinches)
img = el.implot(z, x, y, ax=ax, csize=0.0625, cpad=0.05, **kwargs)
plt.tight_layout(0.01)
return fig
def plotter(z, t, r, **kwargs):
xinches = len(t)/float(dpi)*pixelaspect
yinches = len(r)/float(dpi)
figsize = (xinches + 1.5, yinches + 1)
fig = plt.figure(figsize=figsize)
ax = plt.subplot(111)
el.make_axes_fixed(ax, xinches, yinches)
img = el.rtiplot(z, t, r, ax=ax, csize=0.0625, cpad=0.05, **kwargs)
plt.tight_layout(0.1)
return fig
cmap.set_bad(cmap(0))
for kp in xrange(5):
pslc = slice(kp, None, 5)
vlt = data.vlt[pslc]
cs_sig = cs.vlt_sig[pslc]
cs_noise = cs.vlt_noise[pslc]
filt = filts[kp]
zs = np.zeros((n, m), np.float_)
xinches = len(v)/float(imgdpi)*xstretch
yinches = len(data.r)/float(imgdpi)*ystretch
fig, axes = plt.subplots(1, 2, sharey=True, figsize=(2*xinches + 1, yinches + 0.55))
el.make_axes_fixed(axes[0], xinches, yinches)
el.make_axes_fixed(axes[1], xinches, yinches)
mfimg = el.implot(zs,
np.fft.fftshift(v)/1e3, data.r/1e3,
xlabel='Doppler range rate (km/s)', ylabel='Range (km)',
cbar=False, title='Matched Filter',
exact_ticks=False, xbins=5,
vmin=0, vmax=40,
cmap=cmap, csize=0.0625, cpad=0.05,
pixelaspect=pixelaspect, ax=axes[0])
csimg = el.implot(zs,
np.fft.fftshift(cs.v)/1e3, cs.r/1e3,
xlabel='Doppler range rate (km/s)',
clabel='SNR (dB)', title='Waveform Inversion',
exact_ticks=False, xbins=5,
vmin=0, vmax=40,
