diff --git a/doc/source/whatsnew/v0.20.0.txt b/doc/source/whatsnew/v0.20.0.txt index e392023423eb04..8f2ef0e52b62df 100644 --- a/doc/source/whatsnew/v0.20.0.txt +++ b/doc/source/whatsnew/v0.20.0.txt @@ -690,6 +690,7 @@ Other API Changes - ``pandas.api.types.is_datetime64_ns_dtype`` will now report ``True`` on a tz-aware dtype, similar to ``pandas.api.types.is_datetime64_any_dtype`` - ``DataFrame.asof()`` will return a null filled ``Series`` instead the scalar ``NaN`` if a match is not found (:issue:`15118`) - Reorganization of timeseries development tests (:issue:`14854`) +- The ``Categorical`` constructor has dropped the ``name`` parameter (:issue:`10632`) - Specific support for ``copy.copy()`` and ``copy.deepcopy()`` functions on NDFrame objects (:issue:`15444`) - ``Series.sort_values()`` accepts a one element list of bool for consistency with the behavior of ``DataFrame.sort_values()`` (:issue:`15604`) - ``.merge()`` and ``.join()`` on ``category`` dtype columns will now preserve the category dtype when possible (:issue:`10409`) diff --git a/pandas/core/categorical.py b/pandas/core/categorical.py index 47db86ce1e73e8..c1e5904693d1c0 100644 --- a/pandas/core/categorical.py +++ b/pandas/core/categorical.py @@ -231,8 +231,7 @@ class Categorical(PandasObject): __array_priority__ = 1000 _typ = 'categorical' - def __init__(self, values, categories=None, ordered=False, - name=None, fastpath=False): + def __init__(self, values, categories=None, ordered=False, fastpath=False): self._validate_ordered(ordered) @@ -244,12 +243,6 @@ def __init__(self, values, categories=None, ordered=False, self._ordered = ordered return - if name is not None: - msg = ("the 'name' keyword is removed, use 'name' with consumers " - "of the categorical instead (e.g. 'Series(cat, " - "name=\"something\")'") - warn(msg, UserWarning, stacklevel=2) - # sanitize input if is_categorical_dtype(values): @@ -431,7 +424,7 @@ def from_array(cls, data, **kwargs): return cls(data, **kwargs) @classmethod - def from_codes(cls, codes, categories, ordered=False, name=None): + def from_codes(cls, codes, categories, ordered=False): """ Make a Categorical type from codes and categories arrays. @@ -454,12 +447,6 @@ def from_codes(cls, codes, categories, ordered=False, name=None): categorical. If not given, the resulting categorical will be unordered. """ - if name is not None: - msg = ("the 'name' keyword is removed, use 'name' with consumers " - "of the categorical instead (e.g. 'Series(cat, " - "name=\"something\")'") - warn(msg, UserWarning, stacklevel=2) - try: codes = np.asarray(codes, np.int64) except: diff --git a/pandas/io/packers.py b/pandas/io/packers.py index 404be758a7fbe2..4662e8b635d3f1 100644 --- a/pandas/io/packers.py +++ b/pandas/io/packers.py @@ -589,8 +589,7 @@ def decode(obj): from_codes = globals()[obj[u'klass']].from_codes return from_codes(codes=obj[u'codes'], categories=obj[u'categories'], - ordered=obj[u'ordered'], - name=obj[u'name']) + ordered=obj[u'ordered']) elif typ == u'series': dtype = dtype_for(obj[u'dtype']) diff --git a/pandas/tests/io/test_pickle.py b/pandas/tests/io/test_pickle.py index 91e70e942089c5..fad6237d851fb0 100644 --- a/pandas/tests/io/test_pickle.py +++ b/pandas/tests/io/test_pickle.py @@ -265,12 +265,8 @@ def python_unpickler(path): def test_pickle_v0_14_1(): - # we have the name warning - # 10482 - with tm.assert_produces_warning(UserWarning): - cat = pd.Categorical(values=['a', 'b', 'c'], - categories=['a', 'b', 'c', 'd'], - name='foobar', ordered=False) + cat = pd.Categorical(values=['a', 'b', 'c'], ordered=False, + categories=['a', 'b', 'c', 'd']) pickle_path = os.path.join(tm.get_data_path(), 'categorical_0_14_1.pickle') # This code was executed once on v0.14.1 to generate the pickle: @@ -286,12 +282,8 @@ def test_pickle_v0_15_2(): # ordered -> _ordered # GH 9347 - # we have the name warning - # 10482 - with tm.assert_produces_warning(UserWarning): - cat = pd.Categorical(values=['a', 'b', 'c'], - categories=['a', 'b', 'c', 'd'], - name='foobar', ordered=False) + cat = pd.Categorical(values=['a', 'b', 'c'], ordered=False, + categories=['a', 'b', 'c', 'd']) pickle_path = os.path.join(tm.get_data_path(), 'categorical_0_15_2.pickle') # This code was executed once on v0.15.2 to generate the pickle: diff --git a/pandas/tests/test_categorical.py b/pandas/tests/test_categorical.py index 2d5e98d49e1524..6c8aeba704c7be 100644 --- a/pandas/tests/test_categorical.py +++ b/pandas/tests/test_categorical.py @@ -682,7 +682,7 @@ def test_print(self): def test_big_print(self): factor = Categorical([0, 1, 2, 0, 1, 2] * 100, ['a', 'b', 'c'], - name='cat', fastpath=True) + fastpath=True) expected = ["[a, b, c, a, b, ..., b, c, a, b, c]", "Length: 600", "Categories (3, object): [a, b, c]"] expected = "\n".join(expected) @@ -1635,15 +1635,6 @@ def test_deprecated_from_array(self): with tm.assert_produces_warning(FutureWarning): Categorical.from_array([0, 1]) - def test_removed_names_produces_warning(self): - - # 10482 - with tm.assert_produces_warning(UserWarning): - Categorical([0, 1], name="a") - - with tm.assert_produces_warning(UserWarning): - Categorical.from_codes([1, 2], ["a", "b", "c"], name="a") - def test_datetime_categorical_comparison(self): dt_cat = pd.Categorical( pd.date_range('2014-01-01', periods=3), ordered=True)