I am trying to plot a 3D image of the seafloor from the data of a sonar run over a 500m by 40m portion of the seafloor. I am using matplotlib/mplot3d with Axes3D and I want
That how i solved the wasted space problem:
try:
self.localPbAspect=self.pbaspect
zoom_out = (self.localPbAspect[0]+self.localPbAspect[1]+self.localPbAspect[2])
except AttributeError:
self.localPbAspect=[1,1,1]
zoom_out = 0
xmin, xmax = self.get_xlim3d() / self.localPbAspect[0]
ymin, ymax = self.get_ylim3d() / self.localPbAspect[1]
zmin, zmax = self.get_zlim3d() / self.localPbAspect[2]
# transform to uniform world coordinates 0-1.0,0-1.0,0-1.0
worldM = proj3d.world_transformation(xmin, xmax,
ymin, ymax,
zmin, zmax)
# look into the middle of the new coordinates
R = np.array([0.5*self.localPbAspect[0], 0.5*self.localPbAspect[1], 0.5*self.localPbAspect[2]])
xp = R[0] + np.cos(razim) * np.cos(relev) * (self.dist+zoom_out)
yp = R[1] + np.sin(razim) * np.cos(relev) * (self.dist+zoom_out)
zp = R[2] + np.sin(relev) * (self.dist+zoom_out)
E = np.array((xp, yp, zp))