revert DeprecationWarning

Author: jreback

pandas/core/categorical.py

@@ -35,7 +35,7 @@
 from pandas.core.missing import interpolate_2d
 from pandas.compat.numpy import function as nv
 from pandas.util._decorators import (
-    Appender, cache_readonly, deprecate_kwarg, deprecate, Substitution)
+    Appender, cache_readonly, deprecate_kwarg, Substitution)
 
 from pandas.io.formats.terminal import get_terminal_size
 from pandas.util._validators import validate_bool_kwarg
@@ -1179,7 +1179,7 @@ def isna(self):
                 # we only have one NA in categories
                 ret = np.logical_or(ret, self._codes == nan_pos)
         return ret
-    isnull = deprecate('isna', isna, klass=DeprecationWarning)
+    isnull = isna
 
     def notna(self):
         """
@@ -1199,7 +1199,7 @@ def notna(self):
 
         """
         return ~self.isna()
-    notnull = deprecate('notna', notna, klass=DeprecationWarning)
+    notnull = notna
 
     def put(self, *args, **kwargs):
         """

pandas/core/dtypes/missing.py

@@ -1,7 +1,6 @@
 """
 missing types & inference
 """
-import warnings
 import numpy as np
 from pandas._libs import lib
 from pandas._libs.tslib import NaT, iNaT
@@ -45,10 +44,7 @@ def isna(obj):
     return _isna(obj)
 
 
-def isnull(obj):
-    warnings.warn("isnull is deprecated. Use isna instead",
-                  DeprecationWarning, stacklevel=2)
-    return isna(obj)
+isnull = isna
 
 
 def _isna_new(obj):
@@ -217,10 +213,7 @@ def notna(obj):
     return ~res
 
 
-def notnull(obj):
-    warnings.warn("notnull is deprecated. Use notna instead",
-                  DeprecationWarning, stacklevel=2)
-    return notna(obj)
+notnull = notna
 
 
 def is_null_datelike_scalar(other):

pandas/core/generic.py

@@ -54,7 +54,7 @@
 from pandas.core.ops import _align_method_FRAME
 import pandas.core.nanops as nanops
 from pandas.util._decorators import (Appender, Substitution,
-                                     deprecate, deprecate_kwarg)
+                                     deprecate_kwarg)
 from pandas.util._validators import validate_bool_kwarg
 from pandas.core import config
 
@@ -4462,7 +4462,7 @@ def asof(self, where, subset=None):
     @Appender(_shared_docs['isna'])
     def isna(self):
         return isna(self).__finalize__(self)
-    isnull = deprecate('isna', isna, klass=DeprecationWarning)
+    isnull = isna
 
     _shared_docs['notna'] = """
         Return a boolean same-sized object indicating if the values are
@@ -4476,7 +4476,7 @@ def isna(self):
     @Appender(_shared_docs['notna'])
     def notna(self):
         return notna(self).__finalize__(self)
-    notnull = deprecate('notna', notna, klass=DeprecationWarning)
+    notnull = notna
 
     def _clip_with_scalar(self, lower, upper, inplace=False):
         if ((lower is not None and np.any(isna(lower))) or

pandas/core/indexes/base.py

@@ -43,7 +43,7 @@
 from pandas.core.base import PandasObject, IndexOpsMixin
 import pandas.core.base as base
 from pandas.util._decorators import (
-    Appender, Substitution, cache_readonly, deprecate, deprecate_kwarg)
+    Appender, Substitution, cache_readonly, deprecate_kwarg)
 from pandas.core.indexes.frozen import FrozenList
 import pandas.core.common as com
 import pandas.core.dtypes.concat as _concat
@@ -1859,7 +1859,7 @@ def isna(self):
         pandas.isna : pandas version
         """
         return self._isnan
-    isnull = deprecate('isna', isna, klass=DeprecationWarning)
+    isnull = isna
 
     def notna(self):
         """
@@ -1876,7 +1876,7 @@ def notna(self):
         pandas.notna : pandas version
         """
         return ~self.isna()
-    notnull = deprecate('notna', notna, klass=DeprecationWarning)
+    notnull = notna
 
     def putmask(self, mask, value):
         """

pandas/core/sparse/frame.py

@@ -26,7 +26,7 @@
 import pandas.core.generic as generic
 from pandas.core.sparse.series import SparseSeries, SparseArray
 from pandas._libs.sparse import BlockIndex, get_blocks
-from pandas.util._decorators import Appender, deprecate
+from pandas.util._decorators import Appender
 import pandas.core.ops as ops
 
 
@@ -788,12 +788,12 @@ def cumsum(self, axis=0, *args, **kwargs):
     @Appender(generic._shared_docs['isna'])
     def isna(self):
         return self._apply_columns(lambda x: x.isna())
-    isnull = deprecate('isna', isna, klass=DeprecationWarning)
+    isnull = isna
 
     @Appender(generic._shared_docs['notna'])
     def notna(self):
         return self._apply_columns(lambda x: x.notna())
-    notnull = deprecate('notna', notna, klass=DeprecationWarning)
+    notnull = notna
 
     def apply(self, func, axis=0, broadcast=False, reduce=False):
         """

pandas/core/sparse/series.py

@@ -28,7 +28,6 @@
     _make_index)
 from pandas._libs.sparse import BlockIndex, IntIndex
 import pandas._libs.sparse as splib
-from pandas.util._decorators import deprecate
 
 from pandas.core.sparse.scipy_sparse import (
     _sparse_series_to_coo,
@@ -648,15 +647,15 @@ def isna(self):
                           sparse_index=self.values.sp_index,
                           fill_value=isna(self.fill_value))
         return self._constructor(arr, index=self.index).__finalize__(self)
-    isnull = deprecate('isna', isna, klass=DeprecationWarning)
+    isnull = isna
 
     @Appender(generic._shared_docs['notna'])
     def notna(self):
         arr = SparseArray(notna(self.values.sp_values),
                           sparse_index=self.values.sp_index,
                           fill_value=notna(self.fill_value))
         return self._constructor(arr, index=self.index).__finalize__(self)
-    notnull = deprecate('notna', notna, klass=DeprecationWarning)
+    notnull = notna
 
     def dropna(self, axis=0, inplace=False, **kwargs):
         """

pandas/tests/api/test_api.py

@@ -64,8 +64,8 @@ class TestPDApi(Base):
     funcs = ['bdate_range', 'concat', 'crosstab', 'cut',
              'date_range', 'interval_range', 'eval',
              'factorize', 'get_dummies',
-             'infer_freq', 'isna', 'lreshape',
-             'melt', 'notna', 'offsets',
+             'infer_freq', 'isna', 'isnull', 'lreshape',
+             'melt', 'notna', 'notnull', 'offsets',
              'merge', 'merge_ordered', 'merge_asof',
              'period_range',
              'pivot', 'pivot_table', 'qcut',
@@ -89,7 +89,7 @@ class TestPDApi(Base):
                 'to_numeric', 'to_pickle', 'to_timedelta']
 
     # top-level to deprecate in the future
-    deprecated_funcs_in_future = ['isnull', 'notnull']
+    deprecated_funcs_in_future = []
 
     # these are already deprecated; awaiting removal
     deprecated_funcs = ['ewma', 'ewmcorr', 'ewmcov', 'ewmstd', 'ewmvar',

pandas/tests/dtypes/test_missing.py

@@ -15,36 +15,37 @@
 from pandas.core.dtypes.common import is_scalar
 from pandas.core.dtypes.dtypes import DatetimeTZDtype
 from pandas.core.dtypes.missing import (
-    array_equivalent, isna, notna,
+    array_equivalent, isna, notna, isnull, notnull,
     na_value_for_dtype)
 
 
-def test_notna():
-    assert notna(1.)
-    assert not notna(None)
-    assert not notna(np.NaN)
+@pytest.mark.parametrize('notna_f', [notna, notnull])
+def test_notna_notnull(notna_f):
+    assert notna_f(1.)
+    assert not notna_f(None)
+    assert not notna_f(np.NaN)
 
     with cf.option_context("mode.use_inf_as_na", False):
-        assert notna(np.inf)
-        assert notna(-np.inf)
+        assert notna_f(np.inf)
+        assert notna_f(-np.inf)
 
         arr = np.array([1.5, np.inf, 3.5, -np.inf])
-        result = notna(arr)
+        result = notna_f(arr)
         assert result.all()
 
     with cf.option_context("mode.use_inf_as_na", True):
-        assert not notna(np.inf)
-        assert not notna(-np.inf)
+        assert not notna_f(np.inf)
+        assert not notna_f(-np.inf)
 
         arr = np.array([1.5, np.inf, 3.5, -np.inf])
-        result = notna(arr)
+        result = notna_f(arr)
         assert result.sum() == 2
 
     with cf.option_context("mode.use_inf_as_na", False):
         for s in [tm.makeFloatSeries(), tm.makeStringSeries(),
                   tm.makeObjectSeries(), tm.makeTimeSeries(),
                   tm.makePeriodSeries()]:
-            assert (isinstance(isna(s), Series))
+            assert (isinstance(notna_f(s), Series))
 
 
 class TestIsNA(object):
@@ -66,40 +67,41 @@ def test_empty_object(self):
             expected = np.ones(shape=shape, dtype=bool)
             tm.assert_numpy_array_equal(result, expected)
 
-    def test_isna(self):
-        assert not isna(1.)
-        assert isna(None)
-        assert isna(np.NaN)
+    @pytest.mark.parametrize('isna_f', [isna, isnull])
+    def test_isna_isnull(self, isna_f):
+        assert not isna_f(1.)
+        assert isna_f(None)
+        assert isna_f(np.NaN)
         assert float('nan')
-        assert not isna(np.inf)
-        assert not isna(-np.inf)
+        assert not isna_f(np.inf)
+        assert not isna_f(-np.inf)
 
         # series
         for s in [tm.makeFloatSeries(), tm.makeStringSeries(),
                   tm.makeObjectSeries(), tm.makeTimeSeries(),
                   tm.makePeriodSeries()]:
-            assert isinstance(isna(s), Series)
+            assert isinstance(isna_f(s), Series)
 
         # frame
         for df in [tm.makeTimeDataFrame(), tm.makePeriodFrame(),
                    tm.makeMixedDataFrame()]:
-            result = isna(df)
-            expected = df.apply(isna)
+            result = isna_f(df)
+            expected = df.apply(isna_f)
             tm.assert_frame_equal(result, expected)
 
         # panel
         with catch_warnings(record=True):
             for p in [tm.makePanel(), tm.makePeriodPanel(),
                       tm.add_nans(tm.makePanel())]:
-                result = isna(p)
-                expected = p.apply(isna)
+                result = isna_f(p)
+                expected = p.apply(isna_f)
                 tm.assert_panel_equal(result, expected)
 
         # panel 4d
         with catch_warnings(record=True):
             for p in [tm.makePanel4D(), tm.add_nans_panel4d(tm.makePanel4D())]:
-                result = isna(p)
-                expected = p.apply(isna)
+                result = isna_f(p)
+                expected = p.apply(isna_f)
                 tm.assert_panel4d_equal(result, expected)
 
     def test_isna_lists(self):
@@ -331,13 +333,3 @@ def test_na_value_for_dtype():
 
     for dtype in ['O']:
         assert np.isnan(na_value_for_dtype(np.dtype(dtype)))
-
-
-@pytest.mark.parametrize("func", [pd.notnull, pd.isnull])
-def test_deprecation_deprecations(func):
-
-    # top level deprecations
-    # 15001
-    with tm.assert_produces_warning(DeprecationWarning,
-                                    check_stacklevel=False):
-        func('foo')