xarray-contrib
diff --git a/‎advanced/apply_ufunc/automatic-vectorizing-numpy.ipynb
Lines changed: 12 additions & 13 deletions b/‎advanced/apply_ufunc/automatic-vectorizing-numpy.ipynb
Lines changed: 12 additions & 13 deletions
@@ -4,8 +4,7 @@
    "cell_type": "markdown",
    "id": "6849dcdc-3484-4f41-8b23-51613d36812f",
    "metadata": {
-    "tags": [],
-    "user_expressions": []
+    "tags": []
    },
    "source": [
     "# Automatic Vectorization"
@@ -15,8 +14,7 @@
    "cell_type": "markdown",
    "id": "afc56d28-6e55-4967-b27d-28e2cc539cc7",
    "metadata": {
-    "tags": [],
-    "user_expressions": []
+    "tags": []
    },
    "source": [
     "Previously we looked at applying functions on numpy arrays, and the concept of core dimensions.\n",
@@ -48,7 +46,7 @@
     "1. Understand vectorization\n",
     "1. Learn how to apply such functions without loops using `apply_ufunc` by providing the `vectorize` keyword argument.\n",
     "\n",
-    "### Core dimensions and looping\n",
+    "## Core dimensions and looping\n",
     "\n",
     "Let's say we want to\n",
     "interpolate an array with two dimensions (`space`, `time`) over the `time` dimension, we might \n",
@@ -125,8 +123,7 @@
    "cell_type": "markdown",
    "id": "81356724-6c1a-4d4a-9a32-bb906a9419b2",
    "metadata": {
-    "tags": [],
-    "user_expressions": []
+    "tags": []
    },
    "source": [
     "## Review\n",
@@ -163,8 +160,7 @@
    "cell_type": "markdown",
    "id": "e3382658-14e1-4842-a618-ce7a27948c31",
    "metadata": {
-    "tags": [],
-    "user_expressions": []
+    "tags": []
    },
    "source": [
     "## Try nD input\n",
@@ -177,7 +173,9 @@
    "execution_count": null,
    "id": "1476bcce-cc7b-4252-90dd-f45502dffb09",
    "metadata": {
-    "tags": []
+    "tags": [
+     "raises-exception"
+    ]
    },
    "outputs": [],
    "source": [
@@ -198,8 +196,7 @@
    "cell_type": "markdown",
    "id": "1d1da9c2-a634-4920-890c-74d9bec9eab9",
    "metadata": {
-    "tags": [],
-    "user_expressions": []
+    "tags": []
    },
    "source": [
     "We will use a \"wrapper\" function `interp1d_np` to examine what gets passed to `numpy.interp`"
@@ -210,7 +207,9 @@
    "execution_count": null,
    "id": "fa306dcf-eec3-425c-b278-42d15bbc0e4f",
    "metadata": {
-    "tags": []
+    "tags": [
+     "raises-exception"
+    ]
    },
    "outputs": [],
    "source": [