Sorted dashboard widgets more meaningfully

examples/dashboard.ipynb

@@ -21,7 +21,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import os, param, colorcet, holoviews as hv, panel as pn\n",
+    "import os, colorcet, param as pm, holoviews as hv, panel as pn\n",
     "import intake, geoviews.tile_sources as gts\n",
     "from holoviews.operation.datashader import rasterize, shade, spread\n",
     "\n",
@@ -76,32 +76,32 @@
     "norms = {'Histogram_Equalization': 'eq_hist', 'Linear': 'linear', 'Log': 'log', 'Cube root': 'cbrt'}\n",
     "maps  = ['CartoMidnight', 'StamenWatercolor', 'StamenTonerBackground', 'EsriImagery', 'EsriUSATopo', 'EsriTerrain']\n",
     "bases = {name: ts.relabel(name) for name, ts in gts.tile_sources.items() if name in maps}\n",
+    "plots = {source.metadata['plots'][p].get('label', p):p for p in source.plots}\n",
     "\n",
-    "class Explorer(param.Parameterized):\n",
-    "    data_opacity  = param.Magnitude(default=1.00, doc=\"Alpha value for the data opacity\")\n",
-    "    map_opacity   = param.Magnitude(default=0.75, doc=\"Alpha value for the map opacity\")\n",
-    "    cmap          = param.ObjectSelector(cmaps['fire'], objects=cmaps)\n",
-    "    basemap       = param.ObjectSelector(bases['EsriImagery'], objects=bases)\n",
-    "    show_labels   = param.Boolean(default=True)\n",
-    "    normalization = param.ObjectSelector(default='eq_hist', objects=norms)\n",
-    "    spreading     = param.Integer(0, bounds=(0, 10), precedence=1e-9)\n",
-    "    plot          = param.ObjectSelector(default=source.plots[0], objects=source.plots, precedence=0)\n",
+    "class Explorer(pm.Parameterized):\n",
+    "    plot          = pm.ObjectSelector( precedence=0.10, default=source.plots[0], objects=plots)\n",
+    "    normalization = pm.ObjectSelector( precedence=0.12, default='eq_hist',       objects=norms)\n",
+    "    cmap          = pm.ObjectSelector( precedence=0.14, default=cmaps['fire'],   objects=cmaps)\n",
+    "    spreading     = pm.Integer(        precedence=0.16, default=0, bounds=(0, 5))\n",
     "    \n",
-    "    @param.depends('plot')\n",
+    "    basemap       = pm.ObjectSelector( precedence=0.18, default=bases['EsriImagery'], objects=bases)\n",
+    "    data_opacity  = pm.Magnitude(      precedence=0.20, default=1.00, doc=\"Alpha value for the data\")\n",
+    "    map_opacity   = pm.Magnitude(      precedence=0.22, default=0.75, doc=\"Alpha value for the map\")\n",
+    "    show_labels   = pm.Boolean(        precedence=0.24, default=True)\n",
+    "    \n",
+    "    @pm.depends('plot')\n",
     "    def points(self):\n",
-    "        plot_method = getattr(source.plot, self.plot)\n",
-    "        points = plot_method() # could add extra hvplot kwargs here\n",
-    "        return points\n",
+    "        return getattr(source.plot, self.plot)() # could add extra hvplot kwargs here\n",
     "\n",
-    "    @param.depends('map_opacity','basemap')\n",
+    "    @pm.depends('map_opacity','basemap')\n",
     "    def tiles(self):\n",
     "        return self.basemap.opts(gopts).opts(alpha=self.map_opacity)\n",
     "\n",
-    "    @param.depends('show_labels')\n",
+    "    @pm.depends('show_labels')\n",
     "    def labels(self):\n",
     "        return gts.StamenLabels.options(level='annotation', alpha=1 if self.show_labels else 0)\n",
     "    \n",
-    "    @param.depends('data_opacity')\n",
+    "    @pm.depends('data_opacity')\n",
     "    def apply_opacity(self, shaded):\n",
     "        return shaded.opts(alpha=self.data_opacity, show_legend=False)\n",
     "\n",