def demo_rgb2():
fig = plt.figure(2)
ax = RGBAxes(fig, [0.1, 0.1, 0.8, 0.8], pad=0.0)
r, g, b = get_rgb()
kwargs = dict(origin="lower", interpolation="nearest")
ax.imshow_rgb(r, g, b, **kwargs)
ax.RGB.set_xlim(0., 9.5)
ax.RGB.set_ylim(0.9, 10.6)
for ax1 in [ax.RGB, ax.R, ax.G, ax.B]:
for axisline in ax1._axislines.values():
axisline.line.set_color("w")
axisline.major_ticks.set_mec("w")
return ax
def demo_rgb2():
fig = plt.figure(2)
ax = RGBAxes(fig, [0.1, 0.1, 0.8, 0.8], pad=0.0)
#fig.add_axes(ax)
#ax.add_RGB_to_figure()
r, g, b = get_rgb()
kwargs = dict(origin="lower", interpolation="nearest")
ax.imshow_rgb(r, g, b, **kwargs)
ax.RGB.set_xlim(0., 9.5)
ax.RGB.set_ylim(0.9, 10.6)
for ax1 in [ax.RGB, ax.R, ax.G, ax.B]:
for axisline in ax1._axislines.values():
axisline.line.set_color("w")
axisline.major_ticks.set_mec("w")
return ax
Z = (Z1 - Z2) * 10
return Z, extent
def get_rgb():
Z, extent = get_demo_image()
Z[Z < 0] = 0.
Z = Z / Z.max()
R = Z[:13, :13]
G = Z[2:, 2:]
B = Z[:13, 2:]
return R, G, B
fig = plt.figure(1)
ax = RGBAxes(fig, [0.1, 0.1, 0.8, 0.8])
r, g, b = get_rgb()
kwargs = dict(origin="lower", interpolation="nearest")
ax.imshow_rgb(r, g, b, **kwargs)
ax.RGB.set_xlim(0., 9.5)
ax.RGB.set_ylim(0.9, 10.6)
plt.draw()
plt.show()
z = np.load(f)
# z is a numpy array of 15x15
return z, (-3,4,-4,3)
def get_rgb():
Z, extent = get_demo_image()
Z[Z<0] = 0.
Z = Z/Z.max()
R = Z[:13,:13]
G = Z[2:,2:]
B = Z[:13,2:]
return R, G, B
fig = plt.figure(1)
ax = RGBAxes(fig, [0.1, 0.1, 0.8, 0.8])
r, g, b = get_rgb()
kwargs = dict(origin="lower", interpolation="nearest")
ax.imshow_rgb(r, g, b, **kwargs)
ax.RGB.set_xlim(0., 9.5)
ax.RGB.set_ylim(0.9, 10.6)
plt.draw()
plt.show()
