Update for dataset metrics

examples/example_notebooks/Metrics API.ipynb

@@ -326,8 +326,8 @@
    ]
   },
   {
-   "cell_type": "raw",
-   "id": "8371952d-2ac4-485a-a4a9-f01ca840028e",
+   "cell_type": "markdown",
+   "id": "b1404ddd",
    "metadata": {},
    "source": [
     "## Using the WhyLabs client\n",
@@ -435,6 +435,41 @@
     "))\n",
     "results"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2e13b1f7",
+   "metadata": {},
+   "source": [
+    "Get anomaly_count for a monitor targeted at the dataset level. In this case, a column name of `__internal__.datasetMetrics` is used."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "5cfe22c4",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'data': []}"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "results = data_api.metric_timeseries_data(org_id, dataset_id, MetricTimeseriesRequest(\n",
+    "      interval = \"2024-11-01T00:00:00Z/P1D\",\n",
+    "      column = \"__internal__.datasetMetrics\",\n",
+    "      metric = \"anomaly_count\",\n",
+    "      monitor_id = \"breakable-salmon-ferret-9291\",\n",
+    "))\n",
+    "results"
+   ]
   }
  ],
  "metadata": {