DEPR: remove legacy pd.TimeSeries class in favor of pd.Series

xref pandas-dev#10890

DEPR: remove Series.is_time_series in favor of Series.index.is_all_dates

Author: jreback

doc/source/whatsnew/v0.20.0.txt

@@ -204,6 +204,46 @@ Using ``.iloc``. Here we will get the location of the 'A' column, then use *posi
   df.iloc[[0, 2], df.columns.get_loc('A')]
 
 
+.. _whatsnew.api_breaking.io_compat
+
+Possible incompat for pickle and HDF5 formats for pandas < 0.13.0
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+``pd.TimeSeries`` was deprecated officially in 0.17.0, though has only been an alias since 0.13.0. It has
+been dropped in favor of ``pd.Series``. (:issue:``15098).
+
+This *may* cause pickles / HDF5 files that were created in prior versions to become unreadable if ``pd.TimeSeries``
+was used. This is most likely to be for pandas < 0.13.0. If you find yourself in this situation.
+You can use a recent prior version of pandas to read in your pickle / HDF5 files,
+then write them out again after applying the procedure below.
+
+.. code-block:: ipython
+
+   In [2]: s = pd.TimeSeries([1,2,3], index=pd.date_range('20130101', periods=3))
+
+   In [3]: s
+   Out[3]:
+   2013-01-01    1
+   2013-01-02    2
+   2013-01-03    3
+   Freq: D, dtype: int64
+
+   In [4]: type(s)
+   Out[4]: pandas.core.series.TimeSeries
+
+   In [5]: s = pd.Series(s)
+
+   In [6]: s
+   Out[6]:
+   2013-01-01    1
+   2013-01-02    2
+   2013-01-03    3
+   Freq: D, dtype: int64
+
+   In [7]: type(s)
+   Out[7]: pandas.core.series.Series
+
+
 .. _whatsnew_0200.api_breaking.index_map:
 
 Map on Index types now return other Index types
@@ -395,8 +435,7 @@ Removal of prior version deprecations/changes
 - The ``pandas.io.ga`` module with a ``google-analytics`` interface is removed (:issue:`11308`).
   Similar functionality can be found in the `Google2Pandas <https://github.com/panalysis/Google2Pandas>`__ package.
 - ``pd.to_datetime`` and ``pd.to_timedelta`` have dropped the ``coerce`` parameter in favor of ``errors`` (:issue:`13602`)
-
-
+- ``Series.is_time_series`` is dropped in favor of ``Series.index.is_all_dates`` (:issue:``)
 
 
 .. _whatsnew_0200.performance:

pandas/api/tests/test_api.py

@@ -59,7 +59,7 @@ class TestPDApi(Base, tm.TestCase):
                'TimedeltaIndex', 'Timestamp']
 
     # these are already deprecated; awaiting removal
-    deprecated_classes = ['TimeSeries', 'WidePanel',
+    deprecated_classes = ['WidePanel',
                           'SparseTimeSeries', 'Panel4D',
                           'SparseList']
 

pandas/core/api.py

@@ -13,7 +13,7 @@
                                UInt64Index, RangeIndex, Float64Index,
                                MultiIndex)
 
-from pandas.core.series import Series, TimeSeries
+from pandas.core.series import Series
 from pandas.core.frame import DataFrame
 from pandas.core.panel import Panel, WidePanel
 from pandas.core.panel4d import Panel4D

pandas/core/series.py

@@ -277,13 +277,6 @@ def _constructor_expanddim(self):
     def _can_hold_na(self):
         return self._data._can_hold_na
 
-    @property
-    def is_time_series(self):
-        warnings.warn("is_time_series is deprecated. Please use "
-                      "Series.index.is_all_dates", FutureWarning, stacklevel=2)
-        # return self._subtyp in ['time_series', 'sparse_time_series']
-        return self.index.is_all_dates
-
     _index = None
 
     def _set_axis(self, axis, labels, fastpath=False):
@@ -2985,15 +2978,6 @@ def create_from_value(value, index, dtype):
     return subarr
 
 
-# backwards compatiblity
-class TimeSeries(Series):
-    def __init__(self, *args, **kwargs):
-        # deprecation TimeSeries, #10890
-        warnings.warn("TimeSeries is deprecated. Please use Series",
-                      FutureWarning, stacklevel=2)
-
-        super(TimeSeries, self).__init__(*args, **kwargs)
-
 # ----------------------------------------------------------------------
 # Add plotting methods to Series
 

pandas/io/pytables.py

@@ -23,8 +23,6 @@
 from pandas.types.missing import array_equivalent
 
 import numpy as np
-
-import pandas as pd
 from pandas import (Series, DataFrame, Panel, Panel4D, Index,
                     MultiIndex, Int64Index, isnull)
 from pandas.core import config
@@ -164,7 +162,6 @@ class DuplicateWarning(Warning):
 
     Series: u('series'),
     SparseSeries: u('sparse_series'),
-    pd.TimeSeries: u('series'),
     DataFrame: u('frame'),
     SparseDataFrame: u('sparse_frame'),
     Panel: u('wide'),
@@ -173,7 +170,6 @@ class DuplicateWarning(Warning):
 
 # storer class map
 _STORER_MAP = {
-    u('TimeSeries'): 'LegacySeriesFixed',
     u('Series'): 'LegacySeriesFixed',
     u('DataFrame'): 'LegacyFrameFixed',
     u('DataMatrix'): 'LegacyFrameFixed',