Add cfgrib,ipywidgets to doc env (#7888)

* Add cfgrib to doc env

* [skip-ci] Raise for errors in doc build

* Remove rasterio examples

* Add ipywidgets to silence nbsphinx warning

ci/requirements/doc.yml

@@ -7,9 +7,11 @@ dependencies:
   - python=3.10
   - bottleneck
   - cartopy
+  - cfgrib
   - dask-core>=2022.1
   - h5netcdf>=0.13
   - ipykernel
+  - ipywidgets  # silence nbsphinx warning
   - ipython
   - iris>=2.3
   - jupyter_client
@@ -24,7 +26,6 @@ dependencies:
   - pip
   - pre-commit
   - pyproj
-  - rasterio>=1.1
   - scipy!=1.10.0
   - seaborn
   - setuptools

doc/conf.py

@@ -58,7 +58,7 @@
         ]
     )
 
-nbsphinx_allow_errors = True
+nbsphinx_allow_errors = False
 
 # -- General configuration ------------------------------------------------
 

doc/examples/visualization_gallery.ipynb

@@ -193,90 +193,6 @@
     "# Show\n",
     "plt.tight_layout()"
    ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "jp-MarkdownHeadingCollapsed": true,
-    "tags": []
-   },
-   "source": [
-    "## `imshow()` and rasterio map projections\n",
-    "\n",
-    "\n",
-    "Using rasterio's projection information for more accurate plots.\n",
-    "\n",
-    "This example extends `recipes.rasterio` and plots the image in the\n",
-    "original map projection instead of relying on pcolormesh and a map\n",
-    "transformation."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "da = xr.tutorial.open_rasterio(\"RGB.byte\")\n",
-    "\n",
-    "# The data is in UTM projection. We have to set it manually until\n",
-    "# https://github.com/SciTools/cartopy/issues/813 is implemented\n",
-    "crs = ccrs.UTM(\"18\")\n",
-    "\n",
-    "# Plot on a map\n",
-    "ax = plt.subplot(projection=crs)\n",
-    "da.plot.imshow(ax=ax, rgb=\"band\", transform=crs)\n",
-    "ax.coastlines(\"10m\", color=\"r\")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Parsing rasterio geocoordinates\n",
-    "\n",
-    "Converting a projection's cartesian coordinates into 2D longitudes and\n",
-    "latitudes.\n",
-    "\n",
-    "These new coordinates might be handy for plotting and indexing, but it should\n",
-    "be kept in mind that a grid which is regular in projection coordinates will\n",
-    "likely be irregular in lon/lat. It is often recommended to work in the data's\n",
-    "original map projection (see `recipes.rasterio_rgb`)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from pyproj import Transformer\n",
-    "import numpy as np\n",
-    "\n",
-    "da = xr.tutorial.open_rasterio(\"RGB.byte\")\n",
-    "\n",
-    "x, y = np.meshgrid(da[\"x\"], da[\"y\"])\n",
-    "transformer = Transformer.from_crs(da.crs, \"EPSG:4326\", always_xy=True)\n",
-    "lon, lat = transformer.transform(x, y)\n",
-    "da.coords[\"lon\"] = ((\"y\", \"x\"), lon)\n",
-    "da.coords[\"lat\"] = ((\"y\", \"x\"), lat)\n",
-    "\n",
-    "# Compute a greyscale out of the rgb image\n",
-    "greyscale = da.mean(dim=\"band\")\n",
-    "\n",
-    "# Plot on a map\n",
-    "ax = plt.subplot(projection=ccrs.PlateCarree())\n",
-    "greyscale.plot(\n",
-    "    ax=ax,\n",
-    "    x=\"lon\",\n",
-    "    y=\"lat\",\n",
-    "    transform=ccrs.PlateCarree(),\n",
-    "    cmap=\"Greys_r\",\n",
-    "    shading=\"auto\",\n",
-    "    add_colorbar=False,\n",
-    ")\n",
-    "ax.coastlines(\"10m\", color=\"r\")"
-   ]
   }
  ],
  "metadata": {
@@ -296,6 +212,13 @@
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
    "version": "3.9.7"
+  },
+  "widgets": {
+   "application/vnd.jupyter.widget-state+json": {
+    "state": {},
+    "version_major": 2,
+    "version_minor": 0
+   }
   }
  },
  "nbformat": 4,