The transformation matrix is now also used in 2D (instead of computing the angle)

dgpy/scripts/slimPre.py

@@ -230,14 +230,6 @@ class Coordinate_system :
         xyz = region.coordinates      
         if mesh_proj :
             self.coordinates = dgpy.pjTransform(_mesh_proj, _data_proj, xyz)
-            epsVect = np.zeros(xyz.shape) 
-            coord = self.coordinates.copy()
-            epsVect[:,0] = np.hypot(coord[1,0]-coord[0,0],coord[1,1]-coord[0,1]) / 1000.
-            xyz0 = dgpy.pjTransform(_data_proj, _mesh_proj, coord-epsVect)
-            xyz1 = dgpy.pjTransform(_data_proj, _mesh_proj, coord+epsVect)
-            if dgpy.pj_is_latlong(_data_proj) :
-                xyz1[:,0] = np.where( xyz1[:,0]<xyz0[:,0], xyz1[:,0]+2*np.pi, xyz1[:,0])
-            self._angle = np.arctan2(xyz1[:,1]-xyz0[:,1], xyz1[:,0]-xyz0[:,0])
         else :
             lonlat = np.zeros(xyz.shape)
             lonlat[:,0] = np.arctan2(xyz[:,1], xyz[:,0])
@@ -290,14 +282,12 @@ class Coordinate_system :
         * v
             second component of the vector (in the data coordinate system)
         """
-        #u2 =  u * np.cos(self._angle) - v * np.sin(self._angle)
-        #v2 = u * np.sin(self._angle) + v * np.cos(self._angle)
-        u2 = self._alpha[:,0,0]*u + self._alpha[:,0,1]*v 
-        v2 = self._alpha[:,1,0]*u + self._alpha[:,1,1]*v 
+        u2 = self._alpha[:,0,0]*u + self._alpha[:,0,1]*v
+        v2 = self._alpha[:,1,0]*u + self._alpha[:,1,1]*v
         return (u2, v2)
         
     def rotateSphere(self, F_lon, F_colat, F_r):
-        """Return the vector in the carthesian field of coordinates
+        """Return the vector in the cartesian field of coordinates
         
         keyword arguments:
         
@@ -316,7 +306,7 @@ class Coordinate_system :
         return (Fx,Fy,Fz)    
 
     def rotate3D(self, u, v, w):
-        """Return the rotated vector data array (u,v). Returned vector will be oriented in the carthesian system
+        """Return the rotated vector data array (u,v). Returned vector will be oriented in the cartesian system
         
         keyword arguments: