reduced the distances that are evaluated in the flow meter calculation

Flow_class.py

@@ -234,23 +234,24 @@ class Elbow_profile():
         self.regint_ux   = []
         self.regint_uy   = []
         self.regint_uz   = []
+        methodstr = 'linear'
         # the spline interpolation attention it can only evaluate ordered input arrays 
         if case=="SingleElbow":
             for i in range(0,self.Nmodes):
                 # self.splineint_ux.append(interpol.RectBivariateSpline(self.dist,self.Rk,self.dl,pod_x["coeffs"][:,:,i].T,kx= polydeg,ky=polydeg ))
                 # self.splineint_uy.append(interpol.RectBivariateSpline(self.dist,self.Rk,self.dl,pod_y["coeffs"][:,:,i].T,kx= polydeg,ky=polydeg ))
                 # self.splineint_uz.append(interpol.RectBivariateSpline(self.dist,self.Rk,self.dl,pod_z["coeffs"][:,:,i].T,kx= polydeg,ky=polydeg ))
-                self.regint_ux.append(interpol.RegularGridInterpolator((self.Rk,self.dist), coeffs_x[:,:,i],method = 'cubic',bounds_error = False,fill_value=None))#,bounds_error = False,fill_value=None ))
-                self.regint_uy.append(interpol.RegularGridInterpolator((self.Rk,self.dist), coeffs_y[:,:,i],method = 'cubic',bounds_error = False,fill_value=None))#,bounds_error = True,fill_value=None ))
-                self.regint_uz.append(interpol.RegularGridInterpolator((self.Rk,self.dist), coeffs_z[:,:,i],method = 'cubic',bounds_error = False,fill_value=None))#,bounds_error = True,fill_value=None ))
+                self.regint_ux.append(interpol.RegularGridInterpolator((self.Rk,self.dist), coeffs_x[:,:,i],method = methodstr, bounds_error = False,fill_value=None))#,bounds_error = False,fill_value=None ))
+                self.regint_uy.append(interpol.RegularGridInterpolator((self.Rk,self.dist), coeffs_y[:,:,i],method = methodstr, bounds_error = False,fill_value=None))#,bounds_error = True,fill_value=None ))
+                self.regint_uz.append(interpol.RegularGridInterpolator((self.Rk,self.dist), coeffs_z[:,:,i],method = methodstr, bounds_error = False,fill_value=None))#,bounds_error = True,fill_value=None ))
         else: 
             for i in range(0,self.Nmodes):
                 # self.splineint_ux.append(interpol.RectBivariateSpline(self.dist,self.Rk,self.dl,pod_x["coeffs"][:,:,i].T,kx= polydeg,ky=polydeg ))
                 # self.splineint_uy.append(interpol.RectBivariateSpline(self.dist,self.Rk,self.dl,pod_y["coeffs"][:,:,i].T,kx= polydeg,ky=polydeg ))
                 # self.splineint_uz.append(interpol.RectBivariateSpline(self.dist,self.Rk,self.dl,pod_z["coeffs"][:,:,i].T,kx= polydeg,ky=polydeg ))
-                self.regint_ux.append(interpol.RegularGridInterpolator((self.Rk,self.dl,self.dist), coeffs_x[:,:,:,i],method = 'cubic',bounds_error = False,fill_value=None ))
-                self.regint_uy.append(interpol.RegularGridInterpolator((self.Rk,self.dl,self.dist), coeffs_y[:,:,:,i],method = 'cubic',bounds_error = False,fill_value=None ))
-                self.regint_uz.append(interpol.RegularGridInterpolator((self.Rk,self.dl,self.dist), coeffs_z[:,:,:,i],method = 'cubic',bounds_error = False,fill_value=None ))
+                self.regint_ux.append(interpol.RegularGridInterpolator((self.Rk,self.dl,self.dist), coeffs_x[:,:,:,i],method = methodstr ,bounds_error = False,fill_value=None ))
+                self.regint_uy.append(interpol.RegularGridInterpolator((self.Rk,self.dl,self.dist), coeffs_y[:,:,:,i],method = methodstr ,bounds_error = False,fill_value=None ))
+                self.regint_uz.append(interpol.RegularGridInterpolator((self.Rk,self.dl,self.dist), coeffs_z[:,:,:,i],method = methodstr ,bounds_error = False,fill_value=None ))
             #self.coeffs_z = coeffs_z
         del coeffs_x
         del coeffs_y
@@ -632,7 +633,7 @@ class Elbow_profile():
         # 
         # if no distnces and Rcs given it will calculate them for all 
         # the sampled distances and Rc
-        if dists == None: dists = self.dist
+        if dists == None: dists =  np.concatenate((self.dist[0:1],self.dist[1:-1:5],self.dist[-1:]))
         if Rcs   == None: Rcs   = self.Rk
         if dls   == None: dls   = self.dl
         # get the distances and length of the us-paths
@@ -656,8 +657,9 @@ class Elbow_profile():
                 print("Rc")
                 print(rci)
                 for k,dlk in enumerate(dls):
-                    print(dls)
+                    print(dlk)
                     for j,distj in enumerate(dists):
+                        #print(distj)
                         #run through all the path reflections and integrate them for all angles
                         Int[i,k,j] = self.get_pathint_allphi_de(dz + distj,dL,weights,rci,dlk,L,makeplot=makeplot)
             regInt = interpol.RegularGridInterpolator((self.Rk,self.dl,self.dist,self.phi[:,0]),Int,bounds_error = False,fill_value=None)