Change do_sampled_demo

Signed-off-by: rahulbshrestha <[email protected]>

docs/source/example_notebooks/do_sampler_demo.ipynb

@@ -119,17 +119,21 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from dowhy import CausalModel\n",
+    "from dowhy.causal_graph import CausalGraph\n",
+    "\n",
     "\n",
     "causes = ['D']\n",
     "outcomes = ['Y']\n",
     "common_causes = ['Z']\n",
     "\n",
-    "model = CausalModel(df, \n",
-    "                    causes,\n",
-    "                    outcomes,\n",
-    "                    common_causes=common_causes)\n",
-    "nx_graph = model._graph._graph"
+    "graph = CausalGraph(\n",
+    "            causes,\n",
+    "            outcomes,\n",
+    "            common_cause_names=common_causes,\n",
+    "            observed_node_names=df.columns.tolist(),\n",
+    ")\n",
+    "\n",
+    "nx_graph = graph._graph"
    ]
   },
   {
@@ -145,7 +149,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "identification = model.identify_effect(proceed_when_unidentifiable=True)"
+    "from dowhy.causal_identifier import identify_effect\n",
+    "\n",
+    "identification = identify_effect(nx_graph, action_nodes=causes, outcome_nodes=outcomes, observed_nodes=list(graph.get_all_nodes(include_unobserved=False)))"
    ]
   },
   {
@@ -225,7 +231,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.10"
+   "version": "3.11.8"
   },
   "toc": {
    "base_numbering": 1,