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()