CLN: Remove .to_datetime methods

Removes the following .to_datetime methods

* Index.to_datetime
* Timestamp.to_datetime
* PeriodIndex.to_datetime
* DatetimeIndex.to_datetime

All were deprecated in 0.19.0

xref pandas-devgh-8254, pandas-devgh-14096, pandas-devgh-14113

Author: gfyoung

doc/source/api.rst

@@ -1489,7 +1489,6 @@ Conversion
    Index.map
    Index.ravel
    Index.tolist
-   Index.to_datetime
    Index.to_native_types
    Index.to_series
    Index.to_frame
@@ -1757,7 +1756,6 @@ Conversion
 .. autosummary::
    :toctree: generated/
 
-   DatetimeIndex.to_datetime
    DatetimeIndex.to_period
    DatetimeIndex.to_perioddelta
    DatetimeIndex.to_pydatetime

doc/source/whatsnew/v0.22.0.txt

@@ -150,6 +150,7 @@ Removal of prior version deprecations/changes
 - The ``SparseList`` class has been removed (:issue:`14007`)
 - The ``pandas.io.wb`` and ``pandas.io.data`` stub modules have been removed (:issue:`13735`)
 - ``Categorical.from_array`` has been removed (:issue:`13854`)
+- ``DatetimeIndex.to_datetime``, ``Timestamp.to_datetime``, ``PeriodIndex.to_datetime``, and ``Index.to_datetime`` have been removed (:issue:`8254`, :issue:`14096`, :issue:`14113`)
 
 .. _whatsnew_0220.performance:
 

pandas/_libs/tslibs/timestamps.pyx

@@ -181,16 +181,6 @@ cdef class _Timestamp(datetime):
         elif other.tzinfo is None:
             raise TypeError('Cannot compare tz-naive and tz-aware timestamps')
 
-    cpdef datetime to_datetime(_Timestamp self):
-        """
-        DEPRECATED: use :meth:`to_pydatetime` instead.
-
-        Convert a Timestamp object to a native Python datetime object.
-        """
-        warnings.warn("to_datetime is deprecated. Use self.to_pydatetime()",
-                      FutureWarning, stacklevel=2)
-        return self.to_pydatetime(warn=False)
-
     cpdef datetime to_pydatetime(_Timestamp self, warn=True):
         """
         Convert a Timestamp object to a native Python datetime object.

pandas/core/indexes/base.py

@@ -1061,25 +1061,6 @@ def _to_safe_for_reshape(self):
         """ convert to object if we are a categorical """
         return self
 
-    def to_datetime(self, dayfirst=False):
-        """
-        DEPRECATED: use :meth:`pandas.to_datetime` instead.
-
-        For an Index containing strings or datetime.datetime objects, attempt
-        conversion to DatetimeIndex
-        """
-        warnings.warn("to_datetime is deprecated. Use pd.to_datetime(...)",
-                      FutureWarning, stacklevel=2)
-
-        from pandas.core.indexes.datetimes import DatetimeIndex
-        if self.inferred_type == 'string':
-            from dateutil.parser import parse
-            parser = lambda x: parse(x, dayfirst=dayfirst)
-            parsed = parsing.try_parse_dates(self.values, parser=parser)
-            return DatetimeIndex(parsed)
-        else:
-            return DatetimeIndex(self.values)
-
     def _assert_can_do_setop(self, other):
         if not is_list_like(other):
             raise TypeError('Input must be Index or array-like')

pandas/core/indexes/datetimes.py

@@ -244,7 +244,6 @@ class DatetimeIndex(DatelikeOps, TimelikeOps, DatetimeIndexOpsMixin,
     round
     floor
     ceil
-    to_datetime
     to_period
     to_perioddelta
     to_pydatetime
@@ -899,9 +898,6 @@ def _format_native_types(self, na_rep='NaT', date_format=None, **kwargs):
                                                 format=format,
                                                 na_rep=na_rep)
 
-    def to_datetime(self, dayfirst=False):
-        return self.copy()
-
     @Appender(_index_shared_docs['astype'])
     def astype(self, dtype, copy=True):
         dtype = pandas_dtype(dtype)

pandas/core/indexes/period.py

@@ -611,17 +611,6 @@ def asfreq(self, freq=None, how='E'):
 
         return self._simple_new(new_data, self.name, freq=freq)
 
-    def to_datetime(self, dayfirst=False):
-        """
-        .. deprecated:: 0.19.0
-           Use :meth:`to_timestamp` instead.
-
-        Cast to DatetimeIndex.
-        """
-        warnings.warn("to_datetime is deprecated. Use self.to_timestamp(...)",
-                      FutureWarning, stacklevel=2)
-        return self.to_timestamp()
-
     year = _field_accessor('year', 0, "The year of the period")
     month = _field_accessor('month', 3, "The month as January=1, December=12")
     day = _field_accessor('day', 4, "The days of the period")

pandas/tests/indexes/datetimes/test_tools.py

@@ -735,24 +735,6 @@ def test_dataframe_dtypes(self, cache):
 
 class TestToDatetimeMisc(object):
 
-    @pytest.mark.parametrize('cache', [True, False])
-    def test_index_to_datetime(self, cache):
-        idx = Index(['1/1/2000', '1/2/2000', '1/3/2000'])
-
-        with tm.assert_produces_warning(FutureWarning,
-                                        check_stacklevel=False):
-            result = idx.to_datetime()
-            expected = DatetimeIndex(pd.to_datetime(idx.values, cache=cache))
-            tm.assert_index_equal(result, expected)
-
-        with tm.assert_produces_warning(FutureWarning,
-                                        check_stacklevel=False):
-            today = datetime.today()
-            idx = Index([today], dtype=object)
-            result = idx.to_datetime()
-            expected = DatetimeIndex([today])
-            tm.assert_index_equal(result, expected)
-
     @pytest.mark.parametrize('cache', [True, False])
     def test_to_datetime_iso8601(self, cache):
         result = to_datetime(["2012-01-01 00:00:00"], cache=cache)
@@ -888,12 +870,6 @@ def test_to_datetime_list_of_integers(self):
 
         tm.assert_index_equal(rng, result)
 
-    def test_to_datetime_freq(self):
-        xp = bdate_range('2000-1-1', periods=10, tz='UTC')
-        rs = xp.to_datetime()
-        assert xp.freq == rs.freq
-        assert xp.tzinfo == rs.tzinfo
-
     def test_to_datetime_overflow(self):
         # gh-17637
         # we are overflowing Timedelta range here

pandas/tests/indexes/period/test_tools.py

@@ -386,14 +386,6 @@ def test_to_timestamp_1703(self):
         result = index.to_timestamp()
         assert result[0] == Timestamp('1/1/2012')
 
-    def test_to_datetime_depr(self):
-        index = period_range('1/1/2012', periods=4, freq='D')
-
-        with tm.assert_produces_warning(FutureWarning,
-                                        check_stacklevel=False):
-            result = index.to_datetime()
-            assert result[0] == Timestamp('1/1/2012')
-
     def test_combine_first(self):
         # GH 3367
         didx = pd.DatetimeIndex(start='1950-01-31', end='1950-07-31', freq='M')

pandas/tests/scalar/test_timestamp.py

@@ -672,16 +672,6 @@ def test_pprint(self):
  'foo': 1}"""
         assert result == expected
 
-    def test_to_datetime_depr(self):
-        # see gh-8254
-        ts = Timestamp('2011-01-01')
-
-        with tm.assert_produces_warning(FutureWarning,
-                                        check_stacklevel=False):
-            expected = datetime(2011, 1, 1)
-            result = ts.to_datetime()
-            assert result == expected
-
     def test_to_pydatetime_nonzero_nano(self):
         ts = Timestamp('2011-01-01 9:00:00.123456789')