deprecate isnull/notnull

pandas/core/categorical.py

@@ -34,8 +34,8 @@
 import pandas.core.common as com
 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, Substitution)
+from pandas.util._decorators import (
+    Appender, cache_readonly, deprecate_kwarg, deprecate, 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
-    isull = isna
+    isnull = deprecate('isna', isna, klass=DeprecationWarning)
 
     def notna(self):
         """
@@ -1199,7 +1199,7 @@ def notna(self):
 
         """
         return ~self.isna()
-    notnull = notna
+    notnull = deprecate('notna', notna, klass=DeprecationWarning)
 
     def put(self, *args, **kwargs):
         """

pandas/core/dtypes/missing.py

@@ -1,6 +1,7 @@
 """
 missing types & inference
 """
+import warnings
 import numpy as np
 from pandas._libs import lib
 from pandas._libs.tslib import NaT, iNaT
@@ -44,7 +45,10 @@ def isna(obj):
     return _isna(obj)
 
 
-isnull = isna
+def isnull(obj):
+    warnings.warn("isnull is deprecated. Use isna instead",
+                  DeprecationWarning, stacklevel=2)
+    return isna(obj)
 
 
 def _isna_new(obj):
@@ -213,7 +217,10 @@ def notna(obj):
     return ~res
 
 
-notnull = notna
+def notnull(obj):
+    warnings.warn("notnull is deprecated. Use notna instead",
+                  DeprecationWarning, stacklevel=2)
+    return notna(obj)
 
 
 def is_null_datelike_scalar(other):
@@ -406,4 +413,4 @@ def remove_na_arraylike(arr):
     """
     Return array-like containing only true/non-NaN values, possibly empty.
     """
-    return arr[notnull(lib.values_from_object(arr))]
+    return arr[notna(lib.values_from_object(arr))]

pandas/core/generic.py

@@ -54,7 +54,8 @@
                            isidentifier, set_function_name, cPickle as pkl)
 from pandas.core.ops import _align_method_FRAME
 import pandas.core.nanops as nanops
-from pandas.util._decorators import Appender, Substitution, deprecate_kwarg
+from pandas.util._decorators import (Appender, Substitution,
+                                     deprecate, deprecate_kwarg)
 from pandas.util._validators import validate_bool_kwarg
 from pandas.core import config
 
@@ -4412,7 +4413,7 @@ def asof(self, where, subset=None):
     @Appender(_shared_docs['isna'])
     def isna(self):
         return isna(self).__finalize__(self)
-    isnull = isna
+    isnull = deprecate('isna', isna, klass=DeprecationWarning)
 
     _shared_docs['notna'] = """
         Return a boolean same-sized object indicating if the values are
@@ -4426,7 +4427,7 @@ def isna(self):
     @Appender(_shared_docs['notna'])
     def notna(self):
         return notna(self).__finalize__(self)
-    notnull = notna
+    notnull = deprecate('notna', notna, klass=DeprecationWarning)
 
     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

@@ -41,8 +41,8 @@
 
 from pandas.core.base import PandasObject, IndexOpsMixin
 import pandas.core.base as base
-from pandas.util._decorators import (Appender, Substitution,
-                                     cache_readonly, deprecate_kwarg)
+from pandas.util._decorators import (
+    Appender, Substitution, cache_readonly, deprecate, deprecate_kwarg)
 from pandas.core.indexes.frozen import FrozenList
 import pandas.core.common as com
 import pandas.core.dtypes.concat as _concat
@@ -1848,7 +1848,7 @@ def isna(self):
         pandas.isna : pandas version
         """
         return self._isnan
-    isnull = isna
+    isnull = deprecate('isna', isna, klass=DeprecationWarning)
 
     def notna(self):
         """
@@ -1865,7 +1865,7 @@ def notna(self):
         pandas.notna : pandas version
         """
         return ~self.isna()
-    notnull = notna
+    notnull = deprecate('notna', notna, klass=DeprecationWarning)
 
     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
+from pandas.util._decorators import Appender, deprecate
 import pandas.core.ops as ops
 
 
@@ -785,12 +785,12 @@ def cumsum(self, axis=0, *args, **kwargs):
     @Appender(generic._shared_docs['isna'])
     def isna(self):
         return self._apply_columns(lambda x: x.isna())
-    isnull = isna
+    isnull = deprecate('isna', isna, klass=DeprecationWarning)
 
     @Appender(generic._shared_docs['notna'])
     def notna(self):
         return self._apply_columns(lambda x: x.notna())
-    notnull = notna
+    notnull = deprecate('notna', notna, klass=DeprecationWarning)
 
     def apply(self, func, axis=0, broadcast=False, reduce=False):
         """

pandas/core/sparse/series.py

@@ -28,6 +28,7 @@
     _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 +649,15 @@ 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 = isna
+    isnull = deprecate('isna', isna, klass=DeprecationWarning)
 
     @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 = notna
+    notnull = deprecate('notna', notna, klass=DeprecationWarning)
 
     def dropna(self, axis=0, inplace=False, **kwargs):
         """

pandas/util/__init__.py

@@ -1,2 +1,2 @@
-from pandas.core.util.hashing import hash_pandas_object, hash_array   # noqa
 from pandas.util._decorators import Appender, Substitution, cache_readonly  # noqa
+from pandas.core.util.hashing import hash_pandas_object, hash_array   # noqa

pandas/util/_decorators.py

@@ -6,12 +6,30 @@
 from functools import wraps, update_wrapper
 
 
-def deprecate(name, alternative, alt_name=None):
+def deprecate(name, alternative, alt_name=None, klass=None,
+              stacklevel=2):
+    """
+
+    Return a new function that emits a deprecation warning on use
+
+    Parameters
+    ----------
+    name : str
+        Name of function to deprecate
+    alternative : str
+        Name of function to use instead
+    alt_name : str, optional
+        Name to use in preference of alternative.__name__
+    klass : Warning, default FutureWarning
+    stacklevel : int, default 2
+
+    """
     alt_name = alt_name or alternative.__name__
+    klass = klass or FutureWarning
 
     def wrapper(*args, **kwargs):
         warnings.warn("%s is deprecated. Use %s instead" % (name, alt_name),
-                      FutureWarning, stacklevel=2)
+                      klass, stacklevel=stacklevel)
         return alternative(*args, **kwargs)
     return wrapper