BUG: Reindex with columns and method

Author: Guilherme Beltramini

doc/source/whatsnew/v0.20.0.txt

@@ -285,6 +285,7 @@ Bug Fixes
 - Bug in ``DataFrame(..).apply(to_numeric)`` when values are of type decimal.Decimal. (:issue:`14827`)
 - Bug in ``describe()`` when passing a numpy array which does not contain the median to the ``percentiles`` keyword argument (:issue:`14908`)
 - Bug in ``DataFrame.sort_values()`` when sorting by multiple columns where one column is of type ``int64`` and contains ``NaT`` (:issue:`14922`)
+- Bug in ``DataFrame.reindex()`` when using ``columns`` and ``method`` (:issue:`14992`)
 
 
 - Bug in ``pd.read_msgpack()`` in which ``Series`` categoricals were being improperly processed (:issue:`14901`)

pandas/core/frame.py

@@ -2710,8 +2710,8 @@ def _reindex_axes(self, axes, level, limit, tolerance, method, fill_value,
 
         columns = axes['columns']
         if columns is not None:
-            frame = frame._reindex_columns(columns, copy, level, fill_value,
-                                           limit, tolerance)
+            frame = frame._reindex_columns(columns, method, copy, level,
+                                           fill_value, limit, tolerance)
 
         index = axes['index']
         if index is not None:
@@ -2722,17 +2722,17 @@ def _reindex_axes(self, axes, level, limit, tolerance, method, fill_value,
 
     def _reindex_index(self, new_index, method, copy, level, fill_value=NA,
                        limit=None, tolerance=None):
-        new_index, indexer = self.index.reindex(new_index, method, level,
-                                                limit=limit,
+        new_index, indexer = self.index.reindex(new_index, method=method,
+                                                level=level, limit=limit,
                                                 tolerance=tolerance)
         return self._reindex_with_indexers({0: [new_index, indexer]},
                                            copy=copy, fill_value=fill_value,
                                            allow_dups=False)
 
-    def _reindex_columns(self, new_columns, copy, level, fill_value=NA,
+    def _reindex_columns(self, new_columns, method, copy, level, fill_value=NA,
                          limit=None, tolerance=None):
-        new_columns, indexer = self.columns.reindex(new_columns, level=level,
-                                                    limit=limit,
+        new_columns, indexer = self.columns.reindex(new_columns, method=method,
+                                                    level=level, limit=limit,
                                                     tolerance=tolerance)
         return self._reindex_with_indexers({1: [new_columns, indexer]},
                                            copy=copy, fill_value=fill_value,

pandas/sparse/frame.py

@@ -571,8 +571,8 @@ def _reindex_index(self, index, method, copy, level, fill_value=np.nan,
             new_series, index=index, columns=self.columns,
             default_fill_value=self._default_fill_value).__finalize__(self)
 
-    def _reindex_columns(self, columns, copy, level, fill_value, limit=None,
-                         takeable=False):
+    def _reindex_columns(self, columns, method, copy, level, fill_value,
+                         limit=None, takeable=False):
         if level is not None:
             raise TypeError('Reindex by level not supported for sparse')