DEPR: Categorical.ravel, get_dtype_counts, dtype_str, to_dense

asv_bench/benchmarks/frame_methods.py

@@ -565,7 +565,7 @@ def setup(self):
 
     def time_frame_get_dtype_counts(self):
         with warnings.catch_warnings(record=True):
-            self.df.get_dtype_counts()
+            self.df._data.get_dtype_counts()
 
     def time_info(self):
         self.df.info()

doc/redirects.csv

@@ -358,7 +358,6 @@ generated/pandas.DataFrame.from_dict,../reference/api/pandas.DataFrame.from_dict
 generated/pandas.DataFrame.from_items,../reference/api/pandas.DataFrame.from_items
 generated/pandas.DataFrame.from_records,../reference/api/pandas.DataFrame.from_records
 generated/pandas.DataFrame.ge,../reference/api/pandas.DataFrame.ge
-generated/pandas.DataFrame.get_dtype_counts,../reference/api/pandas.DataFrame.get_dtype_counts
 generated/pandas.DataFrame.get,../reference/api/pandas.DataFrame.get
 generated/pandas.DataFrame.get_value,../reference/api/pandas.DataFrame.get_value
 generated/pandas.DataFrame.get_values,../reference/api/pandas.DataFrame.get_values
@@ -486,7 +485,6 @@ generated/pandas.DataFrame.T,../reference/api/pandas.DataFrame.T
 generated/pandas.DataFrame.timetuple,../reference/api/pandas.DataFrame.timetuple
 generated/pandas.DataFrame.to_clipboard,../reference/api/pandas.DataFrame.to_clipboard
 generated/pandas.DataFrame.to_csv,../reference/api/pandas.DataFrame.to_csv
-generated/pandas.DataFrame.to_dense,../reference/api/pandas.DataFrame.to_dense
 generated/pandas.DataFrame.to_dict,../reference/api/pandas.DataFrame.to_dict
 generated/pandas.DataFrame.to_excel,../reference/api/pandas.DataFrame.to_excel
 generated/pandas.DataFrame.to_feather,../reference/api/pandas.DataFrame.to_feather
@@ -632,7 +630,6 @@ generated/pandas.Index.drop,../reference/api/pandas.Index.drop
 generated/pandas.Index.droplevel,../reference/api/pandas.Index.droplevel
 generated/pandas.Index.dropna,../reference/api/pandas.Index.dropna
 generated/pandas.Index.dtype,../reference/api/pandas.Index.dtype
-generated/pandas.Index.dtype_str,../reference/api/pandas.Index.dtype_str
 generated/pandas.Index.duplicated,../reference/api/pandas.Index.duplicated
 generated/pandas.Index.empty,../reference/api/pandas.Index.empty
 generated/pandas.Index.equals,../reference/api/pandas.Index.equals
@@ -1046,7 +1043,6 @@ generated/pandas.Series.floordiv,../reference/api/pandas.Series.floordiv
 generated/pandas.Series.from_array,../reference/api/pandas.Series.from_array
 generated/pandas.Series.from_csv,../reference/api/pandas.Series.from_csv
 generated/pandas.Series.ge,../reference/api/pandas.Series.ge
-generated/pandas.Series.get_dtype_counts,../reference/api/pandas.Series.get_dtype_counts
 generated/pandas.Series.get,../reference/api/pandas.Series.get
 generated/pandas.Series.get_value,../reference/api/pandas.Series.get_value
 generated/pandas.Series.get_values,../reference/api/pandas.Series.get_values
@@ -1235,7 +1231,6 @@ generated/pandas.Series.T,../reference/api/pandas.Series.T
 generated/pandas.Series.timetuple,../reference/api/pandas.Series.timetuple
 generated/pandas.Series.to_clipboard,../reference/api/pandas.Series.to_clipboard
 generated/pandas.Series.to_csv,../reference/api/pandas.Series.to_csv
-generated/pandas.Series.to_dense,../reference/api/pandas.Series.to_dense
 generated/pandas.Series.to_dict,../reference/api/pandas.Series.to_dict
 generated/pandas.Series.to_excel,../reference/api/pandas.Series.to_excel
 generated/pandas.Series.to_frame,../reference/api/pandas.Series.to_frame

doc/source/reference/frame.rst

@@ -28,7 +28,6 @@ Attributes and underlying data
    :toctree: api/
 
    DataFrame.dtypes
-   DataFrame.get_dtype_counts
    DataFrame.select_dtypes
    DataFrame.values
    DataFrame.get_values
@@ -363,7 +362,6 @@ Serialization / IO / conversion
    DataFrame.to_msgpack
    DataFrame.to_gbq
    DataFrame.to_records
-   DataFrame.to_dense
    DataFrame.to_string
    DataFrame.to_clipboard
    DataFrame.style

doc/source/reference/indexing.rst

@@ -32,7 +32,6 @@ Properties
    Index.has_duplicates
    Index.hasnans
    Index.dtype
-   Index.dtype_str
    Index.inferred_type
    Index.is_all_dates
    Index.shape

doc/source/reference/series.rst

@@ -579,7 +579,6 @@ Serialization / IO / conversion
    Series.to_sql
    Series.to_msgpack
    Series.to_json
-   Series.to_dense
    Series.to_string
    Series.to_clipboard
    Series.to_latex

doc/source/whatsnew/v1.0.0.rst

@@ -459,6 +459,10 @@ or ``matplotlib.Axes.plot``. See :ref:`plotting.formatters` for more.
 - In :func:`concat` the default value for ``sort`` has been changed from ``None`` to ``False`` (:issue:`20613`)
 - Removed previously deprecated "raise_conflict" argument from :meth:`DataFrame.update`, use "errors" instead (:issue:`23585`)
 - Removed previously deprecated keyword "n" from :meth:`DatetimeIndex.shift`, :meth:`TimedeltaIndex.shift`, :meth:`PeriodIndex.shift`, use "periods" instead (:issue:`22458`)
+- Removed the previously deprecated :meth:`Series.to_dense`, :meth:`DataFrame.to_dense` (:issue:`26684`)
+- Removed the previously deprecated :meth:`Index.dtype_str`, use ``str(index.dtype)`` instead (:issue:`27106`)
+- :meth:`Categorical.ravel` returns a :class:`Categorical` instead of a ``ndarray`` (:issue:`27199`)
+- Removed previously deprecated :meth:`Series.get_dtype_counts` and :meth:`DataFrame.get_dtype_counts` (:issue:`27145`)
 - Changed the default ``fill_value`` in :meth:`Categorical.take` from ``True`` to ``False`` (:issue:`20841`)
 - Changed the default value for the `raw` argument in :func:`Series.rolling().apply() <pandas.core.window.Rolling.apply>`, :func:`DataFrame.rolling().apply() <pandas.core.window.Rolling.apply>`,
 - :func:`Series.expanding().apply() <pandas.core.window.Expanding.apply>`, and :func:`DataFrame.expanding().apply() <pandas.core.window.Expanding.apply>` to ``False`` (:issue:`20584`)

pandas/core/arrays/categorical.py

@@ -1689,24 +1689,6 @@ def _values_for_rank(self):
             )
         return values
 
-    def ravel(self, order="C"):
-        """
-        Return a flattened (numpy) array.
-
-        For internal compatibility with numpy arrays.
-
-        Returns
-        -------
-        numpy.array
-        """
-        warn(
-            "Categorical.ravel will return a Categorical object instead "
-            "of an ndarray in a future version.",
-            FutureWarning,
-            stacklevel=2,
-        )
-        return np.array(self)
-
     def view(self, dtype=None):
         if dtype is not None:
             raise NotImplementedError(dtype)

pandas/core/dtypes/common.py

@@ -269,10 +269,6 @@ def is_sparse(arr) -> bool:
     bool
         Whether or not the array-like is a pandas sparse array.
 
-    See Also
-    --------
-    Series.to_dense : Return dense representation of a Series.
-
     Examples
     --------
     Returns `True` if the parameter is a 1-D pandas sparse array.

pandas/core/generic.py

@@ -171,7 +171,7 @@ class NDFrame(PandasObject, SelectionMixin):
     ]
     _internal_names_set: Set[str] = set(_internal_names)
     _accessors: Set[str] = set()
-    _deprecations: FrozenSet[str] = frozenset(["get_dtype_counts", "get_values", "ix"])
+    _deprecations: FrozenSet[str] = frozenset(["get_values", "ix"])
     _metadata: List[str] = []
     _is_copy = None
     _data: BlockManager
@@ -1988,26 +1988,6 @@ def __array_wrap__(self, result, context=None):
     #    values = self.values
     #    return dict(typestr=values.dtype.str,shape=values.shape,data=values)
 
-    def to_dense(self):
-        """
-        Return dense representation of Series/DataFrame (as opposed to sparse).
-
-        .. deprecated:: 0.25.0
-
-        Returns
-        -------
-        %(klass)s
-            Dense %(klass)s.
-        """
-        warnings.warn(
-            "DataFrame/Series.to_dense is deprecated "
-            "and will be removed in a future version",
-            FutureWarning,
-            stacklevel=2,
-        )
-        # compat
-        return self
-
     # ----------------------------------------------------------------------
     # Picklability
 
@@ -5520,51 +5500,6 @@ def get_values(self):
     def _internal_get_values(self):
         return self.values
 
-    def get_dtype_counts(self):
-        """
-        Return counts of unique dtypes in this object.
-
-        .. deprecated:: 0.25.0
-
-        Use `.dtypes.value_counts()` instead.
-
-        Returns
-        -------
-        dtype : Series
-            Series with the count of columns with each dtype.
-
-        See Also
-        --------
-        dtypes : Return the dtypes in this object.
-
-        Examples
-        --------
-        >>> a = [['a', 1, 1.0], ['b', 2, 2.0], ['c', 3, 3.0]]
-        >>> df = pd.DataFrame(a, columns=['str', 'int', 'float'])
-        >>> df
-          str  int  float
-        0   a    1    1.0
-        1   b    2    2.0
-        2   c    3    3.0
-
-        >>> df.get_dtype_counts()
-        float64    1
-        int64      1
-        object     1
-        dtype: int64
-        """
-        warnings.warn(
-            "`get_dtype_counts` has been deprecated and will be "
-            "removed in a future version. For DataFrames use "
-            "`.dtypes.value_counts()",
-            FutureWarning,
-            stacklevel=2,
-        )
-
-        from pandas import Series
-
-        return Series(self._data.get_dtype_counts())
-
     @property
     def dtypes(self):
         """

pandas/core/indexes/base.py

@@ -214,7 +214,7 @@ class Index(IndexOpsMixin, PandasObject):
     _deprecations: FrozenSet[str] = (
         PandasObject._deprecations
         | IndexOpsMixin._deprecations
-        | frozenset(["asobject", "contains", "dtype_str", "get_values", "set_value"])
+        | frozenset(["contains", "get_values", "set_value"])
     )
 
     # To hand over control to subclasses
@@ -670,21 +670,6 @@ def dtype(self):
         """
         return self._data.dtype
 
-    @property
-    def dtype_str(self):
-        """
-        Return the dtype str of the underlying data.
-
-        .. deprecated:: 0.25.0
-        """
-        warnings.warn(
-            "`dtype_str` has been deprecated. Call `str` on the "
-            "dtype attribute instead.",
-            FutureWarning,
-            stacklevel=2,
-        )
-        return str(self.dtype)
-
     def ravel(self, order="C"):
         """
         Return an ndarray of the flattened values of the underlying data.

pandas/tests/extension/test_categorical.py

@@ -93,10 +93,7 @@ class TestConstructors(base.BaseConstructorsTests):
 
 
 class TestReshaping(base.BaseReshapingTests):
-    def test_ravel(self, data):
-        # GH#27199 Categorical.ravel returns self until after deprecation cycle
-        with tm.assert_produces_warning(FutureWarning):
-            data.ravel()
+    pass
 
 
 class TestGetitem(base.BaseGetitemTests):

pandas/tests/generic/test_generic.py

@@ -950,23 +950,3 @@ def test_axis_classmethods(self, box):
             assert obj._get_axis_number(v) == box._get_axis_number(v)
             assert obj._get_axis_name(v) == box._get_axis_name(v)
             assert obj._get_block_manager_axis(v) == box._get_block_manager_axis(v)
-
-    def test_deprecated_to_dense(self):
-        # GH 26557: DEPR
-        # Deprecated 0.25.0
-
-        df = pd.DataFrame({"A": [1, 2, 3]})
-        with tm.assert_produces_warning(FutureWarning):
-            result = df.to_dense()
-        tm.assert_frame_equal(result, df)
-
-        ser = pd.Series([1, 2, 3])
-        with tm.assert_produces_warning(FutureWarning):
-            result = ser.to_dense()
-        tm.assert_series_equal(result, ser)
-
-    def test_deprecated_get_dtype_counts(self):
-        # GH 18262
-        df = DataFrame([1])
-        with tm.assert_produces_warning(FutureWarning):
-            df.get_dtype_counts()

pandas/tests/indexes/multi/test_format.py

@@ -7,13 +7,6 @@
 import pandas.util.testing as tm
 
 
-def test_dtype_str(indices):
-    with tm.assert_produces_warning(FutureWarning):
-        dtype = indices.dtype_str
-    assert isinstance(dtype, str)
-    assert dtype == str(indices.dtype)
-
-
 def test_format(idx):
     idx.format()
     idx[:0].format()

pandas/tests/indexes/period/test_period.py

@@ -156,17 +156,6 @@ def test_shallow_copy_changing_freq_raises(self):
         with pytest.raises(IncompatibleFrequency, match=msg):
             pi._shallow_copy(pi, freq="H")
 
-    def test_dtype_str(self):
-        pi = pd.PeriodIndex([], freq="M")
-        with tm.assert_produces_warning(FutureWarning):
-            assert pi.dtype_str == "period[M]"
-            assert pi.dtype_str == str(pi.dtype)
-
-        with tm.assert_produces_warning(FutureWarning):
-            pi = pd.PeriodIndex([], freq="3M")
-            assert pi.dtype_str == "period[3M]"
-            assert pi.dtype_str == str(pi.dtype)
-
     def test_view_asi8(self):
         idx = pd.PeriodIndex([], freq="M")
 

pandas/tests/indexes/test_common.py

@@ -158,12 +158,6 @@ def test_set_name_methods(self, indices):
         assert indices.name == name
         assert indices.names == [name]
 
-    def test_dtype_str(self, indices):
-        with tm.assert_produces_warning(FutureWarning):
-            dtype = indices.dtype_str
-            assert isinstance(dtype, str)
-            assert dtype == str(indices.dtype)
-
     def test_hash_error(self, indices):
         index = indices
         with pytest.raises(