Move to 1.0

Author: topper-123

doc/source/whatsnew/v0.25.0.rst

@@ -182,36 +182,6 @@ The repr now looks like this:
     json_normalize(data, max_level=1)
 
 
-.. _whatsnew_0250.enhancements.loc_regex:
-
-Selection using regular expressions
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-
-It is now possible to call :attr:`~DataFrame.loc` with parameter ``regex=True`` to select by
-row/columns axis labels that match a regular expression pattern.
-
-.. ipython:: python
-
-    df = pd.DataFrame(1, index=["A", "AB", "BC"], columns=["BC", "AB", "A"])
-    df
-
-    df.loc(regex=True)["B", "B"]
-    df.loc(axis=1, regex=True)["B"]
-
-The regex matching will only work when looking up single strings, not list of strings etc.
-
-.. ipython:: python
-
-    df.loc(regex=True)[["A"], "A"]
-
-Is is currently not possible to set values for a given regular expression.
-
-.. ipython:: python
-    :okexcept:
-
-    df.loc(regex=True)["B", "B"] = [[1, 2], [3, 4]]
-
-
 .. _whatsnew_0250.enhancements.explode:
 
 Series.explode to split list-like values to rows

doc/source/whatsnew/v1.0.0.rst

@@ -21,6 +21,36 @@ including other versions of pandas.
 Enhancements
 ~~~~~~~~~~~~
 
+.. _whatsnew_0250.enhancements.loc_regex:
+
+Selection using regular expressions
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+It is now possible to call :attr:`~DataFrame.loc` with parameter ``regex=True`` to select by
+row/columns axis labels that match a regular expression pattern.
+
+.. ipython:: python
+
+    df = pd.DataFrame(1, index=["A", "AB", "BC"], columns=["BC", "AB", "A"])
+    df
+
+    df.loc(regex=True)["B", "B"]
+    df.loc(axis=1, regex=True)["B"]
+
+The regex matching will only work when looking up single strings, not list of strings etc.
+
+.. ipython:: python
+
+    df.loc(regex=True)[["A"], "A"]
+
+Is is currently not possible to set values for a given regular expression.
+
+.. ipython:: python
+    :okexcept:
+
+    df.loc(regex=True)["B", "B"] = [[1, 2], [3, 4]]
+
+
 .. _whatsnew_1000.enhancements.other:
 
 -

pandas/core/indexing.py

@@ -941,11 +941,11 @@ def _getitem_lowerdim(self, tup: Tuple):
                 if com.is_null_slice(new_key):
                     return section
 
-                return self._getitem_lower_dim(section, new_key)
+                return self._getitem_lower_section(section, new_key)
 
         raise IndexingError("not applicable")
 
-    def _getitem_lower_dim(self, section, key):
+    def _getitem_lower_section(self, section, key):
         # This is an elided recursive call to iloc/loc/etc'
         return getattr(section, self.name)[key]
 
@@ -1871,14 +1871,13 @@ def _getitem_axis(self, key, axis: int):
                 return self.obj.iloc[tuple(indexer)]
 
         elif self.regex and isinstance(key, (str, bytes)):
-            print(key, axis)
             return self._getitem_regex(key, axis=axis)
 
         # fall thru to straight lookup
         self._validate_key(key, axis)
         return self._get_label(key, axis=axis)
 
-    def _getitem_lower_dim(self, section, key):
+    def _getitem_lower_section(self, section, key):
         return getattr(section, self.name)(regex=self.regex)[key]
 
     def __setitem__(self, key, value):