Clarify difference between compute and load in xarray example (#225)

xarray.ipynb

@@ -132,7 +132,13 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Call `.compute()` or `.load()` when you want your result as a `xarray.DataArray` with data stored as NumPy arrays.\n",
+    "Call `.compute()` or `.load()` when you want your result as a `xarray.DataArray` with data stored as NumPy arrays. \n",
+    "\n",
+    "<div class=\"alert alert-info\">\n",
+    "    \n",
+    "NOTE: `load()` alters the DataArray inplace whereas `compute()` returns a new DataArray object.\n",
+    "\n",
+    "</div>\n",
     "\n",
     "If you started `Client()` above then you may want to watch the status page during computation."
    ]
@@ -143,7 +149,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "computed_da = da3.load()\n",
+    "computed_da = da3.compute()\n",
     "type(computed_da.data)"
    ]
   },
@@ -191,7 +197,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "da.resample(time='1w').mean('time').std('time')"
+    "resampled_da = da.resample(time='1w').mean('time')\n",
+    "resampled_da.std('time')"
    ]
   },
   {
@@ -200,7 +207,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "da.resample(time='1w').mean('time').std('time').load().plot(figsize=(12, 8))"
+    "resampled_da.std('time').plot(figsize=(12, 8))"
    ]
   },
   {
@@ -216,7 +223,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "da_smooth = da.rolling(time=30).mean().persist()\n",
+    "da_smooth = da.rolling(time=30).mean()\n",
     "da_smooth"
    ]
   },
@@ -338,7 +345,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.12"
+   "version": "3.10.5"
   }
  },
  "nbformat": 4,