TST: add tests/test_generic.py

API/CLN: Refactor rename methods to core/generic.py; fixes Series.rename for (GH4605), and adds rename
   with the same signature for ``Panel``

API/CLN: Refactor Series.copy to core/generic.py; removes the order argument from Series.copy (inconsistent)

Author: jreback

doc/source/api.rst

@@ -730,6 +730,7 @@ Reindexing / Selection / Label manipulation
    Panel.reindex
    Panel.reindex_axis
    Panel.reindex_like
+   Panel.rename
    Panel.select
    Panel.take
    Panel.truncate

doc/source/release.rst

@@ -172,21 +172,19 @@ See :ref:`Internal Refactoring<whatsnew_0130.refactoring>`
 
 - added ``ftypes`` method to Series/DataFame, similar to ``dtypes``, but indicates
   if the underlying is sparse/dense (as well as the dtype)
-
 - All ``NDFrame`` objects now have a ``_prop_attributes``, which can be used to indcated various
   values to propogate to a new object from an existing (e.g. name in ``Series`` will follow
   more automatically now)
-
 - Internal type checking is now done via a suite of generated classes, allowing ``isinstance(value, klass)``
   without having to directly import the klass, courtesy of @jtratner
-
 - Bug in Series update where the parent frame is not updating its cache based on
   changes (:issue:`4080`) or types (:issue:`3217`), fillna (:issue:`3386`)
-
 - Indexing with dtype conversions fixed (:issue:`4463`, :issue:`4204`)
-
-- Refactor Series.reindex to core/generic.py (:issue:`4604`, :issue:`4618`), allow ``method=`` in reindexing
+- Refactor ``Series.reindex`` to core/generic.py (:issue:`4604`, :issue:`4618`), allow ``method=`` in reindexing
   on a Series to work
+- ``Series.copy`` no longer accepts the ``order`` parameter and is now consistent with ``NDFrame`` copy
+- Refactor ``rename`` methods to core/generic.py; fixes ``Series.rename`` for (:issue`4605`), and adds ``rename``
+  with the same signature for ``Panel``
 
 **Experimental Features**
 

doc/source/v0.13.0.txt

@@ -226,21 +226,19 @@ and behaviors. Series formerly subclassed directly from ``ndarray``. (:issue:`40
 
 - added ``ftypes`` method to Series/DataFame, similar to ``dtypes``, but indicates
   if the underlying is sparse/dense (as well as the dtype)
-
 - All ``NDFrame`` objects now have a ``_prop_attributes``, which can be used to indcated various
   values to propogate to a new object from an existing (e.g. name in ``Series`` will follow
   more automatically now)
-
 - Internal type checking is now done via a suite of generated classes, allowing ``isinstance(value, klass)``
   without having to directly import the klass, courtesy of @jtratner
-
 - Bug in Series update where the parent frame is not updating its cache based on
   changes (:issue:`4080`) or types (:issue:`3217`), fillna (:issue:`3386`)
-
 - Indexing with dtype conversions fixed (:issue:`4463`, :issue:`4204`)
-
-- Refactor Series.reindex to core/generic.py (:issue:`4604`, :issue:`4618`), allow ``method=`` in reindexing
+- Refactor ``Series.reindex`` to core/generic.py (:issue:`4604`, :issue:`4618`), allow ``method=`` in reindexing
   on a Series to work
+- ``Series.copy`` no longer accepts the ``order`` parameter and is now consistent with ``NDFrame`` copy
+- Refactor ``rename`` methods to core/generic.py; fixes ``Series.rename`` for (:issue`4605`), and adds ``rename``
+  with the same signature for ``Panel``
 
 Bug Fixes
 ~~~~~~~~~

pandas/core/frame.py

@@ -2897,64 +2897,6 @@ def reorder_levels(self, order, axis=0):
             result.columns = result.columns.reorder_levels(order)
         return result
 
-    #----------------------------------------------------------------------
-    # Rename
-
-    def rename(self, index=None, columns=None, copy=True, inplace=False):
-        """
-        Alter index and / or columns using input function or
-        functions. Function / dict values must be unique (1-to-1). Labels not
-        contained in a dict / Series will be left as-is.
-
-        Parameters
-        ----------
-        index : dict-like or function, optional
-            Transformation to apply to index values
-        columns : dict-like or function, optional
-            Transformation to apply to column values
-        copy : boolean, default True
-            Also copy underlying data
-        inplace : boolean, default False
-            Whether to return a new DataFrame. If True then value of copy is
-            ignored.
-
-        See also
-        --------
-        Series.rename
-
-        Returns
-        -------
-        renamed : DataFrame (new object)
-        """
-        from pandas.core.series import _get_rename_function
-
-        if index is None and columns is None:
-            raise Exception('must pass either index or columns')
-
-        index_f = _get_rename_function(index)
-        columns_f = _get_rename_function(columns)
-
-        self._consolidate_inplace()
-
-        result = self if inplace else self.copy(deep=copy)
-
-        if index is not None:
-            result._rename_index_inplace(index_f)
-
-        if columns is not None:
-            result._rename_columns_inplace(columns_f)
-
-        if not inplace:
-            return result
-
-    def _rename_index_inplace(self, mapper):
-        self._data = self._data.rename_axis(mapper, axis=1)
-        self._clear_item_cache()
-
-    def _rename_columns_inplace(self, mapper):
-        self._data = self._data.rename_items(mapper, copydata=False)
-        self._clear_item_cache()
-
     #----------------------------------------------------------------------
     # Arithmetic / combination related
 

pandas/core/generic.py

@@ -13,10 +13,11 @@
 from pandas.core.internals import BlockManager
 import pandas.core.common as com
 from pandas import compat
-from pandas.compat import map, zip
+from pandas.compat import map, zip, lrange
 from pandas.core.common import (isnull, notnull, is_list_like,
                                 _values_from_object,
-                                _infer_dtype_from_scalar, _maybe_promote)
+                                _infer_dtype_from_scalar, _maybe_promote,
+                                ABCSeries)
 
 class NDFrame(PandasObject):
 
@@ -382,7 +383,77 @@ def swaplevel(self, i, j, axis=0):
         result._data.set_axis(axis, labels.swaplevel(i, j))
         return result
 
-    def rename_axis(self, mapper, axis=0, copy=True):
+    #----------------------------------------------------------------------
+    # Rename
+
+    def rename(self, *args, **kwargs):
+        """
+        Alter axes input function or
+        functions. Function / dict values must be unique (1-to-1). Labels not
+        contained in a dict / Series will be left as-is.
+
+        Parameters
+        ----------
+        axis keywords for this object
+          (e.g. index for Series,
+                index,columns for DataFrame,
+                items,major_axis,minor_axis for Panel)
+          : dict-like or function, optional
+            Transformation to apply to that axis values
+
+        copy : boolean, default True
+            Also copy underlying data
+        inplace : boolean, default False
+            Whether to return a new PandasObject. If True then value of copy is
+            ignored.
+
+        Returns
+        -------
+        renamed : PandasObject (new object)
+        """
+
+        axes, kwargs = self._construct_axes_from_arguments(args, kwargs)
+        copy = kwargs.get('copy', True)
+        inplace = kwargs.get('inplace', False)
+
+        if (com._count_not_none(*axes.values()) == 0):
+            raise Exception('must pass an index to rename')
+
+        # renamer function if passed a dict
+        def _get_rename_function(mapper):
+            if isinstance(mapper, (dict, ABCSeries)):
+                def f(x):
+                    if x in mapper:
+                        return mapper[x]
+                    else:
+                        return x
+            else:
+                f = mapper
+
+            return f
+
+
+        self._consolidate_inplace()
+        result = self if inplace else self.copy(deep=copy)
+
+        # start in the axis order to eliminate too many copies
+        for axis in lrange(self._AXIS_LEN):
+            v = axes.get(self._AXIS_NAMES[axis])
+            if v is None: continue
+            f = _get_rename_function(v)
+
+            baxis = self._get_block_manager_axis(axis)
+            result._data = result._data.rename(f, axis=baxis, copy=copy)
+            result._clear_item_cache()
+
+        if inplace:
+            self._data = result._data
+            self._clear_item_cache()
+
+        else:
+            return result._propogate_attributes(self)
+
+    def rename_axis(self, mapper, axis=0, copy=True, inplace=False):
         """
         Alter index and / or columns using input function or functions.
         Function / dict values must be unique (1-to-1). Labels not contained in
@@ -394,24 +465,16 @@ def rename_axis(self, mapper, axis=0, copy=True):
         axis : int, default 0
         copy : boolean, default True
             Also copy underlying data
+        inplace : boolean, default False
 
         Returns
         -------
         renamed : type of caller
         """
-        # should move this at some point
-        from pandas.core.series import _get_rename_function
-
-        mapper_f = _get_rename_function(mapper)
-
-        if axis == 0:
-            new_data = self._data.rename_items(mapper_f, copydata=copy)
-        else:
-            new_data = self._data.rename_axis(mapper_f, axis=axis)
-            if copy:
-                new_data = new_data.copy()
-
-        return self._constructor(new_data)
+        axis = self._AXIS_NAMES[axis]
+        d = { 'copy' : copy, 'inplace' : inplace }
+        d[axis] = mapper
+        return self.rename(**d)
 
     #----------------------------------------------------------------------
     # Comparisons
@@ -1373,7 +1436,7 @@ def copy(self, deep=True):
         data = self._data
         if deep:
             data = data.copy()
-        return self._constructor(data)
+        return self._constructor(data)._propogate_attributes(self)
 
     def convert_objects(self, convert_dates=True, convert_numeric=False, copy=True):
         """

pandas/core/internals.py

@@ -2758,8 +2758,8 @@ def rrenamer(x):
                     return '%s%s' % (x, rsuffix)
                 return x
 
-            this = self.rename_items(lrenamer, copydata=copydata)
-            other = other.rename_items(rrenamer, copydata=copydata)
+            this = self.rename_items(lrenamer, copy=copydata)
+            other = other.rename_items(rrenamer, copy=copydata)
         else:
             this = self
 
@@ -2777,6 +2777,13 @@ def _is_indexed_like(self, other):
                 return False
         return True
 
+    def rename(self, mapper, axis, copy=False):
+        """ generic rename """
+
+        if axis == 0:
+            return self.rename_items(mapper, copy=copy)
+        return self.rename_axis(mapper, axis=axis)
+
     def rename_axis(self, mapper, axis=1):
 
         index = self.axes[axis]
@@ -2793,7 +2800,7 @@ def rename_axis(self, mapper, axis=1):
         new_axes[axis] = new_axis
         return self.__class__(self.blocks, new_axes)
 
-    def rename_items(self, mapper, copydata=True):
+    def rename_items(self, mapper, copy=True):
         if isinstance(self.items, MultiIndex):
             items = [tuple(mapper(y) for y in x) for x in self.items]
             new_items = MultiIndex.from_tuples(items, names=self.items.names)
@@ -2803,7 +2810,7 @@ def rename_items(self, mapper, copydata=True):
 
         new_blocks = []
         for block in self.blocks:
-            newb = block.copy(deep=copydata)
+            newb = block.copy(deep=copy)
             newb.set_ref_items(new_items, maybe_rename=True)
             new_blocks.append(newb)
         new_axes = list(self.axes)