upd notebook

docs/notebooks/2_getting_started.ipynb

@@ -1189,12 +1189,6 @@
     "\n",
     "- `method: cos-lat` will perform an average operation over the spatial dimensions, accounting for changes in grid cell area along the 'lat' coordinate.\n",
     "\n",
-    "\n",
-    "- `method: interp_centroid` will perform an interpolation towards given coordinates or towards the centroid of a region.\n",
-    "   - `kwargs` is used to sent arguments to `.interp()`, including `lon` and `lat`.\n",
-    "   - `region` can alternatively be used to send a gridpoint, bbox, or shapefile and compute the centroid. This argument is a dictionary that follows the same requirements as the one for `xs.extract` described previously.\n",
-    "\n",
-    "\n",
     "- `method: xesmf` will perform a call to *xESMF*'s [SpatialAverager](https://pangeo-xesmf.readthedocs.io/en/latest/notebooks/Spatial_Averaging.html). This method is the most precise, especially for irregular regions, but can be much slower.\n",
     "   - `kwargs` is used to sent arguments to `xesmf.SpatialAverager`.\n",
     "   - `region` is used to send a bbox or shapefile to the `SpatialAverager`. This argument is a dictionary that follows the same requirements as the one for `xs.extract` described previously.\n",
@@ -1215,8 +1209,7 @@
     "for key, ds in ds_dict.items():\n",
     "    ds_savg = xs.spatial_mean(\n",
     "        ds=ds,\n",
-    "        method=\"interp_centroid\",\n",
-    "        kwargs={\"method\": \"linear\", \"lon\": -74.5, \"lat\": 47},\n",
+    "        method=\"cos-lat\",\n",
     "        to_domain=\"aggregated\",\n",
     "    )\n",
     "\n",