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intermediate/indexing/advanced-indexing.ipynb

@@ -234,17 +234,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "obs_lats = [31.81,\n",
-    "            41.26,\n",
-    "            22.59,\n",
-    "            44.47,\n",
-    "            28.57]\n",
+    "obs_lats = [31.81, 41.26, 22.59, 44.47, 28.57]\n",
     "\n",
-    "obs_lons = [200.16,\n",
-    "            201.57,\n",
-    "            305.54,\n",
-    "            210.56,\n",
-    "            226.59]"
+    "obs_lons = [200.16, 201.57, 305.54, 210.56, 226.59]"
    ]
   },
   {
@@ -260,7 +252,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "da_air.sel(lat=obs_lats, lon=obs_lats, method=\"nearest\") # -- orthogonal indexing"
+    "da_air.sel(lat=obs_lats, lon=obs_lats, method=\"nearest\")  # -- orthogonal indexing"
    ]
   },
   {
@@ -312,7 +304,7 @@
    },
    "outputs": [],
    "source": [
-    "da_air.sel(lat=lat_points, lon=lon_points, method=\"nearest\") # -- pointwise indexing"
+    "da_air.sel(lat=lat_points, lon=lon_points, method=\"nearest\")  # -- pointwise indexing"
    ]
   },
   {
@@ -346,8 +338,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "da_air.sel(lat=lat_points, lon=lon_points, method=\"nearest\").plot(x='time', hue='points');\n",
-    "\n"
+    "da_air.sel(lat=lat_points, lon=lon_points, method=\"nearest\").plot(x='time', hue='points');"
    ]
   },
   {
@@ -395,11 +386,6 @@
   }
  ],
  "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
@@ -409,8 +395,7 @@
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.0"
+   "pygments_lexer": "ipython3"
   },
   "toc": {
    "base_numbering": 1,