WIP on adding to_dict

Author: Dr-Irv

doc/source/whatsnew/v1.1.0.rst

@@ -269,28 +269,6 @@ change, as ``fsspec`` will still bring in the same packages as before.
 
 .. _fsspec docs: https://filesystem-spec.readthedocs.io/en/latest/
 
-.. _whatsnew_110.dict_tight:
-
-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 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
-    df.to_dict(orient='tight')
-
 .. _whatsnew_110.enhancements.other:
 
 Other enhancements

doc/source/whatsnew/v1.2.0.rst

@@ -109,6 +109,28 @@ Beginning with this version, the default is now to use the more accurate parser
 ``floating_precision="legacy"`` to use the legacy parser. The change to using the higher precision
 parser by default should have no impact on performance. (:issue:`17154`)
 
+.. _whatsnew_120.dict_tight:
+
+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 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
+    df.to_dict(orient='tight')
+
 .. _whatsnew_120.enhancements.other:
 
 Other enhancements

pandas/core/frame.py

@@ -1240,7 +1240,7 @@ def from_dict(cls, data, orient="columns", dtype=None, columns=None) -> DataFram
             If 'tight', assume a dict with keys ['index', 'columns', 'data',
             'index_names', 'column_names'].
 
-            .. versionadded:: 1.1.0
+            .. versionadded:: 1.2.0
                'tight' as an allowed value for the ``orient`` argument
 
         dtype : dtype, default None
@@ -1431,7 +1431,7 @@ def to_dict(self, orient="dict", into=dict):
             Abbreviations are allowed. `s` indicates `series` and `sp`
             indicates `split`.
 
-            .. versionadded:: 1.1.0
+            .. versionadded:: 1.2.0
                 'tight' as an allowed value for the ``orient`` argument
 
         into : class, default dict

test_fast.bat

@@ -1,3 +1,3 @@
 :: test on windows
 set PYTHONHASHSEED=314159265
-pytest --skip-slow --skip-network --skip-db -m "not single" -n 4 -r sXX --strict pandas
+pytest --skip-slow --skip-network --skip-db -m "not single" -n 8 -r sXX --strict pandas