Merge pull request pandas-dev#6531 from immerrr/fix-out-of-bounds-slice-issues

BUG/TST: fix several issues with slice bound checking code

Author: jreback

doc/source/release.rst

@@ -108,6 +108,9 @@ API Changes
 - Slicing and advanced/boolean indexing operations on ``Index`` classes will no
   longer change type of the resulting index (:issue:`6440`).
 - ``set_index`` no longer converts MultiIndexes to an Index of tuples (:issue:`6459`).
+- Slicing with negative start, stop & step values handles corner cases better (:issue:`6531`):
+  - ``df.iloc[:-len(df)]`` is now empty
+  - ``df.iloc[len(df)::-1]`` now enumerates all elements in reverse
 
 Experimental Features
 ~~~~~~~~~~~~~~~~~~~~~

pandas/core/frame.py

@@ -1867,11 +1867,6 @@ def eval(self, expr, **kwargs):
         kwargs['resolvers'] = kwargs.get('resolvers', ()) + resolvers
         return _eval(expr, **kwargs)
 
-    def _slice(self, slobj, axis=0, raise_on_error=False, typ=None):
-        axis = self._get_block_manager_axis(axis)
-        new_data = self._data.get_slice(
-            slobj, axis=axis, raise_on_error=raise_on_error)
-        return self._constructor(new_data)
 
     def _box_item_values(self, key, values):
         items = self.columns[self.columns.get_loc(key)]

pandas/core/generic.py

@@ -1079,6 +1079,16 @@ def _clear_item_cache(self, i=None):
         else:
             self._item_cache.clear()
 
+    def _slice(self, slobj, axis=0, typ=None):
+        """
+        Construct a slice of this container.
+
+        typ parameter is maintained for compatibility with Series slicing.
+
+        """
+        axis = self._get_block_manager_axis(axis)
+        return self._constructor(self._data.get_slice(slobj, axis=axis))
+
     def _set_item(self, key, value):
         self._data.set(key, value)
         self._clear_item_cache()

pandas/core/indexing.py

@@ -91,32 +91,8 @@ def _get_label(self, label, axis=0):
     def _get_loc(self, key, axis=0):
         return self.obj._ixs(key, axis=axis)
 
-    def _slice(self, obj, axis=0, raise_on_error=False, typ=None):
-
-        # make out-of-bounds into bounds of the object
-        if typ == 'iloc':
-            ax = self.obj._get_axis(axis)
-            l = len(ax)
-            start = obj.start
-            stop = obj.stop
-            step = obj.step
-            if start is not None:
-                # degenerate to return nothing
-                if start >= l:
-                    return self._getitem_axis(tuple(),axis=axis)
-
-                # equiv to a null slice
-                elif start <= -l:
-                    start = None
-            if stop is not None:
-                if stop > l:
-                    stop = None
-                elif stop <= -l:
-                    stop = None
-            obj = slice(start,stop,step)
-
-        return self.obj._slice(obj, axis=axis, raise_on_error=raise_on_error,
-                               typ=typ)
+    def _slice(self, obj, axis=0, typ=None):
+        return self.obj._slice(obj, axis=axis, typ=typ)
 
     def __setitem__(self, key, value):
 
@@ -1343,8 +1319,7 @@ def _get_slice_axis(self, slice_obj, axis=0):
             return obj
 
         if isinstance(slice_obj, slice):
-            return self._slice(slice_obj, axis=axis, raise_on_error=True,
-                               typ='iloc')
+            return self._slice(slice_obj, axis=axis, typ='iloc')
         else:
             return self.obj.take(slice_obj, axis=axis, convert=False)
 
@@ -1647,18 +1622,6 @@ def _need_slice(obj):
             (obj.step is not None and obj.step != 1))
 
 
-def _check_slice_bounds(slobj, values):
-    l = len(values)
-    start = slobj.start
-    if start is not None:
-        if start < -l or start > l - 1:
-            raise IndexError("out-of-bounds on slice (start)")
-    stop = slobj.stop
-    if stop is not None:
-        if stop < -l - 1 or stop > l:
-            raise IndexError("out-of-bounds on slice (end)")
-
-
 def _maybe_droplevels(index, key):
     # drop levels
     original_index = index

pandas/core/internals.py

@@ -14,8 +14,7 @@
                                 _values_from_object, _is_null_datelike_scalar)
 from pandas.core.index import (Index, MultiIndex, _ensure_index,
                                _handle_legacy_indexes)
-from pandas.core.indexing import (_check_slice_bounds, _maybe_convert_indices,
-                                  _length_of_indexer)
+from pandas.core.indexing import (_maybe_convert_indices, _length_of_indexer)
 import pandas.core.common as com
 from pandas.sparse.array import _maybe_to_sparse, SparseArray
 import pandas.lib as lib
@@ -2669,12 +2668,9 @@ def combine(self, blocks):
         new_axes[0] = new_items
         return self.__class__(new_blocks, new_axes, do_integrity_check=False)
 
-    def get_slice(self, slobj, axis=0, raise_on_error=False):
+    def get_slice(self, slobj, axis=0):
         new_axes = list(self.axes)
 
-        if raise_on_error:
-            _check_slice_bounds(slobj, new_axes[axis])
-
         new_axes[axis] = new_axes[axis][slobj]
 
         if axis == 0:
@@ -3739,9 +3735,7 @@ def _delete_from_block(self, i, item):
         )
         self._values = self._block.values
 
-    def get_slice(self, slobj, raise_on_error=False):
-        if raise_on_error:
-            _check_slice_bounds(slobj, self.index)
+    def get_slice(self, slobj):
         return self.__class__(self._block._slice(slobj),
                               self.index[slobj], fastpath=True)
 

pandas/core/panel.py

@@ -539,12 +539,6 @@ def _box_item_values(self, key, values):
         d = self._construct_axes_dict_for_slice(self._AXIS_ORDERS[1:])
         return self._constructor_sliced(values, **d)
 
-    def _slice(self, slobj, axis=0, raise_on_error=False, typ=None):
-        new_data = self._data.get_slice(slobj,
-                                        axis=axis,
-                                        raise_on_error=raise_on_error)
-        return self._constructor(new_data)
-
     def __setitem__(self, key, value):
         shape = tuple(self.shape)
         if isinstance(value, self._constructor_sliced):

pandas/core/series.py

@@ -28,7 +28,7 @@
 from pandas.core.index import (Index, MultiIndex, InvalidIndexError,
                                _ensure_index, _handle_legacy_indexes)
 from pandas.core.indexing import (
-    _check_bool_indexer, _check_slice_bounds,
+    _check_bool_indexer,
     _is_index_slice, _maybe_convert_indices)
 from pandas.core import generic, base
 from pandas.core.internals import SingleBlockManager
@@ -469,9 +469,7 @@ def _ixs(self, i, axis=0):
     def _is_mixed_type(self):
         return False
 
-    def _slice(self, slobj, axis=0, raise_on_error=False, typ=None):
-        if raise_on_error:
-            _check_slice_bounds(slobj, self.values)
+    def _slice(self, slobj, axis=0, typ=None):
         slobj = self.index._convert_slice_indexer(slobj, typ=typ or 'getitem')
         return self._get_values(slobj)
 

pandas/sparse/frame.py

@@ -13,7 +13,7 @@
 from pandas.core.common import (isnull, notnull, _pickle_array,
                                 _unpickle_array, _try_sort)
 from pandas.core.index import Index, MultiIndex, _ensure_index
-from pandas.core.indexing import _check_slice_bounds, _maybe_convert_indices
+from pandas.core.indexing import _maybe_convert_indices
 from pandas.core.series import Series
 from pandas.core.frame import (DataFrame, extract_index, _prep_ndarray,
                                _default_index)
@@ -379,15 +379,11 @@ def set_value(self, index, col, value, takeable=False):
         return dense.to_sparse(kind=self._default_kind,
                                fill_value=self._default_fill_value)
 
-    def _slice(self, slobj, axis=0, raise_on_error=False, typ=None):
+    def _slice(self, slobj, axis=0, typ=None):
         if axis == 0:
-            if raise_on_error:
-                _check_slice_bounds(slobj, self.index)
             new_index = self.index[slobj]
             new_columns = self.columns
         else:
-            if raise_on_error:
-                _check_slice_bounds(slobj, self.columns)
             new_index = self.index
             new_columns = self.columns[slobj]
 

pandas/sparse/panel.py

@@ -187,7 +187,7 @@ def _ixs(self, i, axis=0):
 
         return self.xs(key, axis=axis)
 
-    def _slice(self, slobj, axis=0, raise_on_error=False, typ=None):
+    def _slice(self, slobj, axis=0, typ=None):
         """
         for compat as we don't support Block Manager here
         """

pandas/tests/test_indexing.py

@@ -393,19 +393,51 @@ def test_iloc_exceeds_bounds(self):
         self.assertRaises(IndexError, lambda : df.iloc[-30])
 
         # slices are ok
-        result = df.iloc[:,4:10]
+        result = df.iloc[:,4:10]  # 0 < start < len < stop
         expected = df.iloc[:,4:]
         assert_frame_equal(result,expected)
 
-        result = df.iloc[:,-4:-10]
-        expected = df.iloc[:,-4:]
+        result = df.iloc[:,-4:-10]  # stop < 0 < start < len
+        expected = df.iloc[:,:0]
+        assert_frame_equal(result,expected)
+
+        result = df.iloc[:,10:4:-1]  # 0 < stop < len < start (down)
+        expected = df.iloc[:,:4:-1]
+        assert_frame_equal(result,expected)
+
+        result = df.iloc[:,4:-10:-1]  # stop < 0 < start < len (down)
+        expected = df.iloc[:,4::-1]
+        assert_frame_equal(result,expected)
+
+        result = df.iloc[:,-10:4]  # start < 0 < stop < len
+        expected = df.iloc[:,:4]
+        assert_frame_equal(result,expected)
+
+        result = df.iloc[:,10:4]  # 0 < stop < len < start
+        expected = df.iloc[:,:0]
+        assert_frame_equal(result,expected)
+
+        result = df.iloc[:,-10:-11:-1]  # stop < start < 0 < len (down)
+        expected = df.iloc[:,:0]
+        assert_frame_equal(result,expected)
+
+        result = df.iloc[:,10:11]  # 0 < len < start < stop
+        expected = df.iloc[:,:0]
         assert_frame_equal(result,expected)
 
         # slice bounds exceeding is ok
         result = s.iloc[18:30]
         expected = s.iloc[18:]
         assert_series_equal(result,expected)
 
+        result = s.iloc[30:]
+        expected = s.iloc[:0]
+        assert_series_equal(result,expected)
+
+        result = s.iloc[30::-1]
+        expected = s.iloc[::-1]
+        assert_series_equal(result,expected)
+
         # doc example
         def check(result,expected):
             str(result)