update

Author: spatialthoughts

notebooks/xarray_extracting_time_series_multiple.ipynb

@@ -45,7 +45,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "id": "6058b268-9e94-416c-9698-4888111c9b10",
    "metadata": {
     "id": "6058b268-9e94-416c-9698-4888111c9b10"
@@ -54,7 +54,7 @@
    "source": [
     "%%capture\n",
     "if 'google.colab' in str(get_ipython()):\n",
-    "    !pip install rioxarray"
+    "    !pip install rioxarray dask[distributed]"
    ]
   },
   {
@@ -79,6 +79,48 @@
     "import zipfile"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "81bb22c2",
+   "metadata": {},
+   "source": [
+    "Setup a local Dask cluster. This distributes the computation across multiple workers on your computer."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c7a705ac",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from dask.distributed import Client\n",
+    "client = Client()  # set up local cluster on the machine\n",
+    "client"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8bc0a693",
+   "metadata": {},
+   "source": [
+    "If you are running this notebook in Colab, you will need to create and use a proxy URL to see the dashboard running on the local server.\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3733a3ec",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "if 'google.colab' in str(get_ipython()):\n",
+    "    from google.colab import output\n",
+    "    port_to_expose = 8787  # This is the default port for Dask dashboard\n",
+    "    print(output.eval_js(f'google.colab.kernel.proxyPort({port_to_expose})'))"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 3,