DOC: Add example with numpy_nullable to pd.read_json()

pandas/io/json/_json.py

@@ -763,6 +763,21 @@ def read_json(
 {{"index":"row 2","col 1":"c","col 2":"d"}}]\
 }}\
 '
+
+    The follwing example uses ``dtype_backend="numpy_nullable"``
+
+    >>> data = '{"index": {"0": 0, "1": 1}, ' \
+    ...        '"a": {"0": 1, "1": null}, ' \
+    ...        '"b": {"0": 2.5, "1": 4.5}, ' \
+    ...        '"c": {"0": true, "1": false}, ' \
+    ...        '"d": {"0": "a", "1": "b"}, ' \
+    ...        '"e": {"0": 1577.2, "1": 1577.1}}'
+    >>> df = pd.read_json(data, dtype_backend="numpy_nullable")
+    >>> print(df)
+       index     a    b      c  d       e
+    0      0     1  2.5   True  a  1577.2
+    1      1  <NA>  4.5  False  b  1577.1
+
     """
     if orient == "table" and dtype:
         raise ValueError("cannot pass both dtype and orient='table'")