update

Author: spatialthoughts

notebooks/xarray_extracting_time_series.ipynb

@@ -51,7 +51,7 @@
       "source": [
         "%%capture\n",
         "if 'google.colab' in str(get_ipython()):\n",
-        "    !pip install rioxarray"
+        "    !pip install rioxarray dask[distributed]"
       ]
     },
     {
@@ -93,51 +93,6 @@
         "    os.mkdir(output_folder)"
       ]
     },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "sEl0ZACGjPZ-"
-      },
-      "source": [
-        "Setup a local Dask cluster. This distributes the computation across multiple workers on your computer."
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "id": "UKJse9ObjPZ-"
-      },
-      "outputs": [],
-      "source": [
-        "from dask.distributed import Client, progress\n",
-        "client = Client()  # set up local cluster on the machine\n",
-        "client"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {
-        "id": "WG-SY6YEjPZ-"
-      },
-      "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."
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "id": "EdUeUb6NjPZ-"
-      },
-      "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})'))\n"
-      ]
-    },
     {
       "cell_type": "code",
       "execution_count": null,
@@ -1460,7 +1415,7 @@
     {
       "cell_type": "markdown",
       "metadata": {
-        "id": "Q8ncpyiUI74w"
+        "id": "zgiWrCxkJkdz"
       },
       "source": [
         "----\n",