fix up documentation formatting

Author: Dr-Irv

doc/source/whatsnew/v1.1.0.rst

@@ -277,14 +277,17 @@ DataFrame.from_dict and DataFrame.to_dict have new ``'tight'`` option
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 
 A new ``'tight'`` dictionary format that preserves :class:`MultiIndex` entries and names
-is now available, and can be used with the standard `json` library to produce a tight
+is now available with the :meth:`DataFrame.from_dict` and :meth:`DataFrame.to_dict` methods
+and can be used with the standard ``json`` library to produce a tight
 representation of :class:`DataFrame` objects (:issue:`4889`).
 
 .. ipython:: python
 
-    df = pd.DataFrame.from_records([[1, 3], [2, 4]],
-            index=pd.MultiIndex.from_tuples([("a", "b"), ("a", "c")], names=["n1", "n2"]),
-            columns=pd.MultiIndex.from_tuples([("x", 1), ("y", 2)], names=["z1", "z2"]))
+    df = pd.DataFrame.from_records(
+        [[1, 3], [2, 4]],
+        index=pd.MultiIndex.from_tuples([("a", "b"), ("a", "c")], names=["n1", "n2"]),
+        columns=pd.MultiIndex.from_tuples([("x", 1), ("y", 2)], names=["z1", "z2"]),
+    )
     df
     df.to_dict(orient='tight')
 

pandas/core/frame.py

@@ -1243,8 +1243,8 @@ def from_dict(cls, data, orient="columns", dtype=None, columns=None) -> "DataFra
             If 'tight', assume a dict with keys ['index', 'columns', 'data',
             'index_names', 'column_names']
 
-        .. versionadded:: 1.1.0
-           'tight' as an allowed value for the ``orient`` argument
+            .. versionadded:: 1.1.0
+               'tight' as an allowed value for the ``orient`` argument
 
         dtype : dtype, default None
             Data type to force, otherwise infer.
@@ -1289,10 +1289,10 @@ def from_dict(cls, data, orient="columns", dtype=None, columns=None) -> "DataFra
         Specify ``orient='tight'`` to create the DataFrame using a 'tight'
         format.
         >>> data = {'index': [('a', 'b'), ('a', 'c')],
-                    'columns': [('x', 1), ('y', 2)],
-                    'data': [[1, 3], [2, 4]],
-                    'index_names': ['n1', 'n2'],
-                    'column_names': ['z1', 'z2']}
+        ...         'columns': [('x', 1), ('y', 2)],
+        ...         'data': [[1, 3], [2, 4]],
+        ...         'index_names': ['n1', 'n2'],
+        ...         'column_names': ['z1', 'z2']}
         >>> pd.DataFrame.from_dict(data, orient='tight')
         z1     x  y
         z2     1  2
@@ -1433,8 +1433,8 @@ def to_dict(self, orient="dict", into=dict):
             Abbreviations are allowed. `s` indicates `series` and `sp`
             indicates `split`.
 
-        .. versionadded:: 1.1.0
-           'tight' as an allowed value for the ``orient`` argument
+            .. versionadded:: 1.1.0
+                'tight' as an allowed value for the ``orient`` argument
 
         into : class, default dict
             The collections.abc.Mapping subclass used for all Mappings