Using @param.depends in a parameterized Class

Panel
, ,
8

Thats the working code I actually use. Due to the missing Data it’s not a working example.

df_masked=pd.concat([df['X'], df['Y'], s_GlQ0_WD, s_GlQp5_WD, s_GlQm10_WD, s_GlQm20_WD, s_GlQm30_WD,
           s_GlQ0_SV, s_GlQp5_SV, s_GlQm10_SV, s_GlQm20_SV, s_GlQm30_SV,
           s_GlQ0_BF, s_GlQp5_BF, s_GlQm10_BF, s_GlQm20_BF, s_GlQm30_BF], axis=1)

vdims = ['s_GlQ0_WD', 's_GlQp5_WD', 's_GlQm10_WD', 's_GlQm20_WD', 's_GlQm30_WD', 's_GlQ0_SV', 's_GlQp5_SV', 's_GlQm10_SV', 's_GlQm20_SV', 's_GlQm30_SV', 's_GlQ0_BF', 's_GlQp5_BF', 's_GlQm10_BF', 's_GlQm20_BF', 's_GlQm30_BF']
cmap_sel={'viridis':'viridis', 'rainbow_r':'rainbow_r', 'cwr_r':'cwr_r','BrBG':'BrBG', 'coolwarm_r':'coolwarm_r'}
cmap_sel_list=['viridis','rainbow_r','Greens', 'Blues', 'cwr_r', 'BrBG', 'coolwarm_r']

tooltips_r= {}
trimesh_dict={}

for vdim in vdims:
    points = gv.Points(df_masked, crs=crs.epsg(25832), kdims=['X', 'Y'], vdims = vdim)
    tooltips_r[vdim] = [(vdim, '@image')]
    d = gv.Dataset(gv.operation.project_points(points))
    trimesh_dict[vdim] = rasterize(hv.TriMesh((element, d)), aggregator=ds.mean(vdim), precompute=True, dynamic=True).opts(
        cmap=cmap_sel)
class Overview_NR(param.Parameterized):
    q_select_opts = ['GlQ', 'GlQ +5%', 'GlQ -10%', 'GlQ -20%', 'GlQ -30%']
    cmap = param.ObjectSelector(default='Greens', objects=cmap_sel_list)
    dchg = param.ObjectSelector(default='GlQ', objects=q_select_opts)
    variable = param.ObjectSelector(default = 's_GlQ0_WD', objects=['s_GlQ0_WD', 's_GlQ0_SV', 's_GlQ0_BF'])
    _variables = {'GlQ': ['s_GlQ0_WD', 's_GlQ0_SV', 's_GlQ0_BF'],
               'GlQ +5%':['s_GlQp5_WD', 's_GlQp5_SV', 's_GlQp5_BF'],
               'GlQ -10%':['s_GlQm10_WD', 's_GlQm10_SV', 's_GlQm10_BF'],
               'GlQ -20%':['s_GlQm20_WD', 's_GlQm20_SV', 's_GlQm20_BF'],
               'GlQ -30%':['s_GlQm30_WD', 's_GlQm30_SV', 's_GlQm30_BF']}       
    
    @param.depends('dchg', watch=True)
    def _update_Variablen(self):
        variables = self._variables[self.dchg]
        self.param['variable'].objects = variables
        self.variable = variables[0]
    
    #the method inkluding param decorator shoud return the  requested DynamincMap   
    @param.depends('variable', 'cmap', watch=True)
    def view(self):
        hover=HoverTool(tooltips=tooltips_r[self.variable])    
        return trimesh_dict[self.variable].opts(cmap=self.cmap, tools=[hover])

ov_nr = Overview_NR()
layout = pn.Row(ov_nr.view, ov_nr.param)

server = pn.serve(layout, start=False, show=True)
1 Like