make tripyview able to deal with icepack data, fix small bug in cref…

… colorinfo computation

tripyview/sub_data.py

@@ -344,7 +344,12 @@ def _preprocess(x, do_prec):
         # remove variables that are not needed
         #data = data.drop(labels=vname_drop)
         data = data.drop_vars(vname_drop)
-
+
+    #___________________________________________________________________________    
+    # This is for icepack data over thickness classes make class selection always 
+    # based in indices
+    if ('ncat' in data.dims): depidx = True
+
     #___________________________________________________________________________    
     # rename old vertices dimension name to new
     # 'node' --> 'nod2'
@@ -403,7 +408,7 @@ def _preprocess(x, do_prec):
     # select depth levels also for vertical interpolation 
     # found 3d data based mid-depth levels (temp, salt, pressure, ....)
     # if ( ('nz1' in data[vname].dims) or ('nz'  in data[vname].dims) ) and (depth is not None):
-    if ( bool(set(['nz1','nz']).intersection(data.dims)) ) and (depth is not None):
+    if ( bool(set(['nz1','nz', 'ncat']).intersection(data.dims)) ) and (depth is not None):
         #print('~~ >-))))o> o0O ~~~ A')
         #_______________________________________________________________________
         data, str_ldep = do_select_levidx(data, mesh, depth, depidx)
@@ -433,10 +438,11 @@ def _preprocess(x, do_prec):
     #___________________________________________________________________________
     # select all depth levels but do vertical summation over it --> done for 
     # merid heatflux
-    elif ( bool(set(['nz1', 'nz']).intersection(data.dims)) ) and (depth is None) and (do_zarithm in ['sum','mean','wmean']): 
+    elif ( bool(set(['nz1', 'nz', 'ncat']).intersection(data.dims)) ) and (depth is None) and (do_zarithm in ['sum','mean','wmean','wint', 'max', 'min']): 
         #print('~~ >-))))o> o0O ~~~ B')
         if   ('nz1'  in data.dims): data = do_depth_arithmetic(data, do_zarithm, "nz1" )
-        elif ('nz'   in data.dims): data = do_depth_arithmetic(data, do_zarithm, "nz"  )     
+        elif ('nz'   in data.dims): data = do_depth_arithmetic(data, do_zarithm, "nz"  )
+        elif ('ncat' in data.dims): data = do_depth_arithmetic(data, do_zarithm, "ncat")     
     # only 2D data found            
     else:
         #print('~~ >-))))o> o0O ~~~ C')
@@ -476,6 +482,10 @@ def _preprocess(x, do_prec):
                         'do_zarithm':str_adep, 'str_ltim':str_ltim,'str_ldep':str_ldep,'str_lsave':str_lsave,
                         'is_data':is_data, 'is_ie2n':is_ie2n, 'do_compute':do_compute, 
                         'descript':descript})
+
+        # in case of icepack data write thickness class as attribute
+        if ('ncat' in data.dims) and (depth is not None): attr_dict.update({'ncat':depth})
+
         data = do_additional_attrs(data, vname, attr_dict)
 
     #___________________________________________________________________________
@@ -666,6 +676,9 @@ def do_gridinfo_and_weights(mesh, data, do_hweight=True, do_zweight=False):
 
     elif ('ndens'   in data.dims): 
         dimv = 'ndens'
+
+    elif ('ncat'   in data.dims): 
+        dimv = 'ncat'
 
     dimh = None
     if   ('nod2' in data.dims):
@@ -974,7 +987,7 @@ def do_select_levidx(data, mesh, depth, depidx):
         #_______________________________________________________________________        
         # select vertical levels from data
         data = data.isel(nz1=sel_levidx)        
-
+        aux_strdep = 'depidx'
     #___________________________________________________________________________
     # found 3d data based on full-depth levels (w, Kv,...) --> compute 
     # selection index
@@ -987,17 +1000,34 @@ def do_select_levidx(data, mesh, depth, depidx):
         #_______________________________________________________________________        
         # select vertical levels from data
         data = data.isel(nz=sel_levidx)
+        aux_strdep = 'depidx'
+
+    #___________________________________________________________________________
+    # found 3d data based based on icepack thickness classes -->
+    # selection index
+    elif ('ncat' in data.dims) and (depth is not None):  
+        #_______________________________________________________________________
+        # compute selection index either single layer of for interpolation 
+        ndimax  = data.sizes['ncat']
+        sel_levidx = do_comp_sel_levidx(np.arange(1,ndimax+1,1), depth, depidx, ndimax)
+        #_______________________________________________________________________        
+        # select vertical levels from data
+        data = data.isel(ncat=sel_levidx)    
+        aux_strdep = 'ncat'
 
     #___________________________________________________________________________
     # do depth information string
-    if (depth is not None):
+    if (depth is not None) and not depidx:
         if   isinstance(depth,(int, float)):
             str_ldep = ', dep:{}m'.format(str(depth))
         elif isinstance(depth,(list, np.ndarray, range)):   
             if len(depth)>0:
                 str_ldep = ', dep:{}-{}m'.format(str(depth[0]), str(depth[-1]))
             else:    
                 str_ldep = ', dep:{}-{}m'.format(str(mesh.zlev[0]), str(mesh.zlev[-1]))
+
+    elif (depth is not None) and depidx:            
+        str_ldep = ', {}:{}'.format(aux_strdep, str(depth))
     #___________________________________________________________________________
     return(data, str_ldep)
 

tripyview/sub_plot.py

@@ -5841,14 +5841,19 @@ def do_setupcinfo(cinfo, data, do_rescale, mesh=None, tri=None, do_vec=False,
                 # clean colorstep levels 
                 else:
                     dez     = 0
-                    ini_dez = np.int32(np.log10(np.abs(cref-cmin))) + 2
+                    ini_dez = np.log10(np.abs(cref-cmin))
+                    if ini_dez<0: ini_dez = -np.floor(ini_dez)
+                    else        : ini_dez =  np.ceil(ini_dez) 
+                    ini_dez = np.int32(ini_dez) + 2
                     new_cref= prev_cref = cref
                     dc      = cinfo['cmax']- cinfo['cmin']
+                    #print(ini_dez, cref, new_cref, cmin, dc)
                     while True:
                         prev_cref = new_cref
                         new_cref  = np.around(cref, ini_dez-dez)
-                        print(prev_cref, new_cref)
-                        if new_cref<cref-dc/10 or new_cref>cref+dc/10 or prev_cref==new_cref:
+                        #print(prev_cref, new_cref, dez, ini_dez-dez)
+                        #if (new_cref<cref-dc/10 or new_cref>cref+dc/10 or prev_cref==new_cref) and dez!=0:
+                        if (new_cref<cref-dc/10 or new_cref>cref+dc/10 or dez>10) and dez!=0:    
                             break
                         else: 
                             dez=dez+1