TST: move SparseList to deprecate in api, xref pandas-dev#14007

DOC: whatsnew fixes

Author: jreback

doc/source/whatsnew/v0.19.0.txt

@@ -411,7 +411,7 @@ Other enhancements
      df.sort_values(by='row2', axis=1)
 
 - Added documentation to :ref:`I/O<io.dtypes>` regarding the perils of reading in columns with mixed dtypes and how to handle it (:issue:`13746`)
-- Raise ImportError for in the sql functions when sqlalchemy is not installed and a connection string is used (:issue:`11920`).
+- Raise ``ImportError`` in the sql functions when ``sqlalchemy`` is not installed and a connection string is used (:issue:`11920`).
 
 
 .. _whatsnew_0190.api:
@@ -505,10 +505,9 @@ New Behavior:
 
 .. _whatsnew_0190.api.to_datetime_coerce:
 
-``.to_datetime()`` when coercing
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+``.to_datetime()`` changes
+^^^^^^^^^^^^^^^^^^^^^^^^^^
 
-A bug is fixed in ``.to_datetime()`` when passing integers or floats, and no ``unit`` and ``errors='coerce'`` (:issue:`13180`).
 Previously if ``.to_datetime()`` encountered mixed integers/floats and strings, but no datetimes with ``errors='coerce'`` it would convert all to ``NaT``.
 
 Previous Behavior:
@@ -524,6 +523,12 @@ This will now convert integers/floats with the default unit of ``ns``.
 
    pd.to_datetime([1, 'foo'], errors='coerce')
 
+- Bug in ``pd.to_datetime()`` when passing integers or floats, and no ``unit`` and ``errors='coerce'`` (:issue:`13180`).
+- Bug in ``pd.to_datetime()`` when passing invalid datatypes (e.g. bool); will now respect the ``errors`` keyword (:issue:`13176`)
+- Bug in ``pd.to_datetime()`` which overflowed on ``int8``, and ``int16`` dtypes (:issue:`13451`)
+- Bug in ``pd.to_datetime()`` raise ``AttributeError`` with NaN and the other string is not valid when errors='ignore' (:issue:`12424`)
+- Bug in ``pd.to_datetime()`` did not cast floats correctly when ``unit`` was specified, resulting in truncated datetime (:issue:`13845`)
+
 .. _whatsnew_0190.api.merging:
 
 Merging changes
@@ -929,8 +934,6 @@ Bug Fixes
 - Bug ``Series.isnull`` and ``Series.notnull`` ignore ``Period('NaT')``  (:issue:`13737`)
 - Bug ``Series.fillna`` and ``Series.dropna`` don't affect to ``Period('NaT')``  (:issue:`13737`)
 
-- Bug in ``pd.to_datetime()`` when passing invalid datatypes (e.g. bool); will now respect the ``errors`` keyword (:issue:`13176`)
-- Bug in ``pd.to_datetime()`` which overflowed on ``int8``, and ``int16`` dtypes (:issue:`13451`)
 - Bug in extension dtype creation where the created types were not is/identical (:issue:`13285`)
 - Bug in ``.resample(..)`` where incorrect warnings were triggered by IPython introspection (:issue:`13618`)
 - Bug in ``NaT`` - ``Period`` raises ``AttributeError`` (:issue:`13071`)
@@ -945,7 +948,6 @@ Bug Fixes
 - Bug in ``.set_index`` raises ``AmbiguousTimeError`` if new index contains DST boundary and multi levels (:issue:`12920`)
 - Bug in ``.shift`` raises ``AmbiguousTimeError`` if data contains datetime near DST boundary (:issue:`13926`)
 - Bug in ``pd.read_hdf()`` returns incorrect result when a ``DataFrame`` with a ``categorical`` column and a query which doesn't match any values (:issue:`13792`)
-- Bug in ``pd.to_datetime()`` raise ``AttributeError`` with NaN and the other string is not valid when errors='ignore' (:issue:`12424`)
 
 
 - Bug in ``Series`` comparison operators when dealing with zero dim NumPy arrays (:issue:`13006`)
@@ -992,5 +994,4 @@ Bug Fixes
 
 - Bug in ``Index`` raises ``KeyError`` displaying incorrect column when column is not in the df and columns contains duplicate values (:issue:`13822`)
 - Bug in ``Period`` and ``PeriodIndex`` creating wrong dates when frequency has combined offset aliases (:issue:`13874`)
-- Bug in ``pd.to_datetime()`` did not cast floats correctly when ``unit`` was specified, resulting in truncated datetime (:issue:`13845`)
 - Bug in ``.to_string()`` when called with an integer ``line_width`` and ``index=False`` raises an UnboundLocalError exception because ``idx`` referenced before assignment.

pandas/api/tests/test_api.py

@@ -58,10 +58,11 @@ class TestPDApi(Base, tm.TestCase):
 
     # these are already deprecated; awaiting removal
     deprecated_classes = ['TimeSeries', 'WidePanel',
-                          'SparseTimeSeries', 'Panel4D']
+                          'SparseTimeSeries', 'Panel4D',
+                          'SparseList']
 
     # these should be deperecated in the future
-    deprecated_classes_in_future = ['SparseList', 'Term', 'Panel']
+    deprecated_classes_in_future = ['Term', 'Panel']
 
     # these should be removed from top-level namespace
     remove_classes_from_top_level_namespace = ['Expr']