Added change to pass observed fixture to pivot_table test, added change version to docstring and updated correct whatsnew.

Author: benjaminr

doc/source/whatsnew/v0.24.0.rst

@@ -426,7 +426,6 @@ Other Enhancements
 - :func:`pandas.DataFrame.to_sql` has gained the ``method`` argument to control SQL insertion clause. See the :ref:`insertion method <io.sql.method>` section in the documentation. (:issue:`8953`)
 - :meth:`DataFrame.corrwith` now supports Spearman's rank correlation, Kendall's tau as well as callable correlation methods. (:issue:`21925`)
 - :meth:`DataFrame.to_json`, :meth:`DataFrame.to_csv`, :meth:`DataFrame.to_pickle`, and other export methods now support tilde(~) in path argument. (:issue:`23473`)
-- :meth:`DataFrame.pivot_table` now accepts ``observed`` parameter which is passed to underlying calls to :meth:`DataFrame.groupby` to speed up grouping categorical data. (:issue:`24923`)
 
 .. _whatsnew_0240.api_breaking:
 

doc/source/whatsnew/v0.25.0.rst

@@ -19,7 +19,7 @@ including other versions of pandas.
 Other Enhancements
 ^^^^^^^^^^^^^^^^^^
 
--
+:meth:`DataFrame.pivot_table` now accepts ``observed`` parameter which is passed to underlying calls to :meth:`DataFrame.groupby` to speed up grouping categorical data. (:issue:`24923`)
 -
 -
 

pandas/core/frame.py

@@ -5675,6 +5675,8 @@ def pivot(self, index=None, columns=None, values=None):
             If True: only show observed values for categorical groupers.
             If False: show all values for categorical groupers.
 
+            .. versionchanged :: 0.25.0
+
         Returns
         -------
         table : DataFrame

pandas/tests/reshape/test_pivot.py

@@ -38,18 +38,18 @@ def setup_method(self, method):
                                'E': np.random.randn(11),
                                'F': np.random.randn(11)})
 
-    def test_pivot_table(self):
+    def test_pivot_table(self, observed):
         index = ['A', 'B']
         columns = 'C'
         table = pivot_table(self.data, values='D',
-                            index=index, columns=columns)
+                            index=index, columns=columns, observed=observed)
 
         table2 = self.data.pivot_table(
-            values='D', index=index, columns=columns)
+            values='D', index=index, columns=columns, observed=observed)
         tm.assert_frame_equal(table, table2)
 
         # this works
-        pivot_table(self.data, values='D', index=index)
+        pivot_table(self.data, values='D', index=index, observed=observed)
 
         if len(index) > 1:
             assert table.index.names == tuple(index)