include before/after examples

pandas-dev · Feb 19, 2020 · c29c2bd · c29c2bd
1 parent 2728408
commit c29c2bd
Showing 1 changed file with 54 additions and 10 deletions.
diff --git a/doc/source/whatsnew/v1.1.0.rst b/doc/source/whatsnew/v1.1.0.rst
@@ -188,17 +188,61 @@ MultiIndex
         left.intersection(right, sort=False)
 
 - Bug in :meth:`MultiIndex.get_indexer` incorrectly handling use of pad and backfill options (:issue:`29896`)
-.. ipython:: python
-
-        df = pd.DataFrame({
-            'a': [0, 0, 0, 0],
-            'b': [0, 2, 3, 4],
-            'c': ['A', 'B', 'C', 'D']
-        }).set_index(['a', 'b'])
-        mi_2 = pd.MultiIndex.from_product([[0], [-1, 0, 1, 3, 4, 5]])
+*pandas [0.23.0, 1.1.0)*
+.. code-block:: python
+        >>> df = pd.DataFrame({
+        ...     'a': [0, 0, 0, 0],
+        ...     'b': [0, 2, 3, 4],
+        ...     'c': ['A', 'B', 'C', 'D'],
+        ... }).set_index(['a', 'b'])
+        >>> mi_2 = pd.MultiIndex.from_product([[0], [-1, 0, 1, 3, 4, 5]])
+        >>>
+        >>> df.reindex(mi_2, method="backfill")
+              c
+        0 -1  A
+           0  A
+           1  D
+           3  A
+           4  A
+           5  C
+        >>>
+        >>> df.reindex(mi_2, method="pad")
+                c
+        0 -1  NaN
+           0  NaN
+           1    D
+           3  NaN
+           4    A
+           5    C
+
+*pandas 1.1.0*:
+.. code-block:: python
+        >>> df = pd.DataFrame({
+        ...     'a': [0, 0, 0, 0],
+        ...     'b': [0, 2, 3, 4],
+        ...     'c': ['A', 'B', 'C', 'D'],
+        ... }).set_index(['a', 'b'])
+        >>> mi_2 = pd.MultiIndex.from_product([[0], [-1, 0, 1, 3, 4, 5]])
+        >>>
+        >>> df.reindex(mi_2, method="backfill")
+                c
+        0 -1    A
+           0    A
+           1    B
+           3    C
+           4    D
+           5  NaN
+        >>>
+        >>> df.reindex(mi_2, method="pad")
+                c
+        0 -1  NaN
+           0    A
+           1    A
+           3    C
+           4    D
+           5    D
+        >>>
 
-        df.reindex(mi_2, method='backfill')
-        df.reindex(mi_2, method='pad')
 -
 
 I/O