Updated and fixed issues in documentation

holoviz · Jan 14, 2019 · da27f2e · da27f2e
1 parent badcfff
commit da27f2e
Show file tree

Hide file tree

Showing 3 changed files with 2 additions and 21 deletions.
diff --git a/examples/gallery/bokeh/xarray_image.ipynb b/examples/gallery/bokeh/xarray_image.ipynb
@@ -28,7 +28,7 @@
    "outputs": [],
    "source": [
     "ensemble = xr.open_dataset('../../data/ensemble.nc')\n",
-    "dataset = gv.Dataset(ensemble, ['longitude', 'latitude', 'time'], crs=crs.PlateCarree())\n",
+    "dataset = gv.Dataset(ensemble, ['longitude', 'latitude', 'time'], 'surface_temperature', crs=crs.PlateCarree())\n",
     "images = dataset.to(gv.Image)\n",
     "# Equivalent full definition:\n",
     "# images = dataset.to(gv.Image, ['longitude', 'latitude'], 'surface_temperature', 'time')"

diff --git a/examples/gallery/matplotlib/xarray_image.ipynb b/examples/gallery/matplotlib/xarray_image.ipynb
@@ -28,7 +28,7 @@
    "outputs": [],
    "source": [
     "ensemble = xr.open_dataset('../../data/ensemble.nc')\n",
-    "dataset = gv.Dataset(ensemble, ['longitude', 'latitude', 'time'], crs=crs.PlateCarree())\n",
+    "dataset = gv.Dataset(ensemble, ['longitude', 'latitude', 'time'], 'surface_temperature', crs=crs.PlateCarree())\n",
     "images = dataset.to(gv.Image)\n",
     "# Equivalent full definition:\n",
     "# images = dataset.to(gv.Image, ['longitude', 'latitude'], 'surface_temperature', 'time')"

diff --git a/examples/user_guide/Gridded_Datasets_II.ipynb b/examples/user_guide/Gridded_Datasets_II.ipynb
@@ -285,25 +285,6 @@
     "curves.opts(width=600, height=400, legend_position='right', toolbar='above')"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Aggregating coordinates\n",
-    "\n",
-    "Another option is to aggregate over certain dimensions, so that we can get an idea of distributions of temperatures across all latitudes and longitudes. Here we compute the mean temperature and standard deviation by latitude and longitude, casting the resulting collapsed view to a Spread Element:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "hv.Spread(dataset.aggregate('latitude', np.mean, np.std)) +\\\n",
-    "hv.Spread(dataset.aggregate('longitude', np.mean, np.std))"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},