Workbench

tripyview/shapefiles/moc_basins/Atlantic_MOC.cpg

@@ -1 +1 @@
-ISO-8859-1
+UTF-8

tripyview/sub_plot.py

@@ -888,25 +888,36 @@ def plot_hmesh( mesh                   ,
                     if len(mesh[ii].n_resol)==0: mesh[ii]=mesh[ii].compute_n_resol()
                     data_plot = mesh[ii].n_resol/1000
                     #data_plot = mesh[ii].n_resol[0,:]/1000
-                    cb_label, cb_lunit = 'vertice resolution', 'km'
+                    if cb_label is None: cb_label = 'vertice resolution'
+                    if cb_lunit is None: cb_lunit = 'km'
+
                 elif data in ['narea', 'n_area', 'clusterarea', 'scalararea']:    
                     if len(mesh[ii].n_area)==0: mesh[ii]=mesh[ii].compute_n_area()
                     data_plot = mesh[ii].n_area[0,:]
-                    cb_label, cb_lunit = 'vertice area', 'm^2'
+                    if cb_label is None: cb_label = 'vertice area'
+                    if cb_lunit is None: cb_lunit = 'm^2'
+
                 elif data in ['eresol', 'e_resol', 'triresolution', 'triresol']:
                     if len(mesh[ii].e_resol)==0: mesh[ii]=mesh[ii].compute_e_resol()
                     data_plot = mesh[ii].e_resol/1000
-                    cb_label, cb_lunit = 'element resolution', 'km'
+                    if cb_label is None: cb_label = 'element resolution'
+                    if cb_lunit is None: cb_lunit = 'km'
+
                 elif data in ['earea', 'e_area', 'triarea']:
                     if len(mesh[ii].e_area)==0: mesh[ii]=mesh[ii].compute_e_area()
                     data_plot =  mesh[ii].e_area
-                    cb_label, cb_lunit = 'element area', 'm^2'
+                    if cb_label is None: cb_label = 'element area'
+                    if cb_lunit is None: cb_lunit = 'm^2'
+
                 elif data in ['ndepth', 'ntopo', 'n_depth', 'n_topo', 'topography', 'zcoord']:
                     data_plot =  np.abs(mesh[ii].n_z)
-                    cb_label, cb_lunit = 'vertice depth', 'm'
+                    if cb_label is None: cb_label = 'vertice depth'
+                    if cb_lunit is None: cb_lunit = 'm'
+
                 elif data in ['edepth', 'etopo', 'e_depth', 'e_topo' ]:
                     data_plot = np.abs(mesh[ii].zlev[mesh[ii].e_iz])
-                    cb_label, cb_lunit = 'element depth', 'm'
+                    if cb_label is None: cb_label = 'element depth'
+                    if cb_lunit is None: cb_lunit = 'm'
 
                 #_______________________________________________________________
                 cinfo_plot = do_setupcinfo(cinfo, [data_plot], do_rescale, mesh=mesh[ii], tri=tri)
@@ -4500,10 +4511,10 @@ def do_plt_data(hax_ii, do_plt, tri, data_plot, cinfo_plot, which_norm_plot,
         plt_optdefault = dict({'shading':'gouraud', 'zorder':1})
         plt_optdefault.update(plt_opt)
 
-        # pcolor plot in combination with shading :gouraud and orthographic projection
-        # leads to an blow up of the plotting therefor change to flat shading 
-        if tri.x.size!=data_plot.size or isinstance(hax_ii.projection, (ccrs.Orthographic, ccrs.NearsidePerspective)): 
-            plt_optdefault.update({'shading':'flat'})
+        ## pcolor plot in combination with shading :gouraud and orthographic projection
+        ## leads to an blow up of the plotting therefor change to flat shading 
+        #if tri.x.size!=data_plot.size or isinstance(hax_ii.projection, (ccrs.Orthographic, ccrs.NearsidePerspective)): 
+            #plt_optdefault.update({'shading':'flat'})
 
         # if which_normplot is specified like in case of log10 and slog10 scaling
         # vmin and vmax argumetns are not allows
@@ -5552,7 +5563,7 @@ def do_plt_gridlines(hax_ii, do_grid, box, ndat,
         #_______________________________________________________________________
         elif isinstance(hax_ii.projection, ccrs.CRS):
             #___________________________________________________________________
-            grid_optdefault = dict({'color':'black', 'linestyle':'-', 'draw_labels':False, 'alpha':0.25, 'zorder':5})
+            grid_optdefault = dict({'color':'black', 'linestyle':'-', 'draw_labels':False, 'alpha':0.25, 'zorder':10})
             grid_optdefault.update(grid_opt)
 
             #___________________________________________________________________

tripyview/sub_transect.py

@@ -868,7 +868,7 @@ def calc_transect_transp(mesh, data, transects, do_transectattr=False, do_rot=Tr
 
             # here rotate the velocities from roted frame to geo frame 
             if do_rot:
-                for nti in range(data.dims['time']):
+                for nti in range(data.sizes['time']):
                     vel_u[nti,:,:], vel_v[nti,:,:] = vec_r2g(mesh.abg, 
                                         mesh.n_x[transect['path_ni']].sum(axis=1)/3.0, 
                                         mesh.n_y[transect['path_ni']].sum(axis=1)/3.0,
@@ -916,7 +916,7 @@ def calc_transect_transp(mesh, data, transects, do_transectattr=False, do_rot=Tr
         # define dimensions
         list_dimname, list_dimsize, list_dimval = dict(), dict(), dict()
         if   'time' in data.dims: 
-            list_dimname['time'] , list_dimsize['time'] , list_dimval['time']  = 'time', data.dims['time'], data.time.data #pd.to_datetime(data.time)            
+            list_dimname['time'] , list_dimsize['time'] , list_dimval['time']  = 'time', data.sizes['time'], data.time.data #pd.to_datetime(data.time)            
         if   'nz1'  in data.dims: 
             list_dimname['depth'], list_dimsize['depth'], list_dimval['depth'] = 'nz1' , mesh.zmid.size   , mesh.zmid
         elif 'nz'   in data.dims: 

tripyview/sub_zmoc.py

@@ -250,7 +250,7 @@ def calc_zmoc(mesh,
         # create meridional bins --> this trick is from Nils Brückemann (ICON)
         lat     = mesh.n_y[mesh.e_i].sum(axis=1)/3.0
         lat_bin = xr.DataArray(data=np.round(lat[idxin]/dlat)*dlat, dims='elem', name='lat')  
-
+        
     #___________________________________________________________________________
     # compute area weighted vertical velocities on vertices
     else:    
@@ -311,7 +311,7 @@ def calc_zmoc(mesh,
     elif which_moc_name=='aamoc': str_region='Atlantic-Arctic '
     elif which_moc_name=='pmoc' : str_region='Pacific '
     elif which_moc_name=='ipmoc': str_region='Indo-Pacific '
-    elif which_moc_name=='pmoc' : str_region='Indo '
+    elif which_moc_name=='imoc' : str_region='Indo '
     elif isinstance(which_moc,shp.Reader): str_region=which_moc_region
 
     # for the choice of vertical plotting mode