diff --git a/pandas/core/common.py b/pandas/core/common.py
index a31c92caf4343..e86db79b90350 100644
--- a/pandas/core/common.py
+++ b/pandas/core/common.py
@@ -580,7 +580,7 @@ def take_2d_multi(arr, indexer, out=None, fill_value=np.nan,
                     mask_info = (row_mask, col_mask), (row_needs, col_needs)
                 if row_needs or col_needs:
                     if out is not None and out.dtype != dtype:
-                        raise Exception('Incompatible type for fill_value')
+                        raise TypeError('Incompatible type for fill_value')
                 else:
                     # if not, then depromote, set fill_value to dummy
                     # (it won't be used but we don't want the cython code
@@ -814,7 +814,7 @@ def changeit():
                 # if we are trying to do something unsafe
                 # like put a bigger dtype in a smaller one, use the smaller one
                 if change.dtype.itemsize < r.dtype.itemsize:
-                    raise Exception("cannot change dtype of input to smaller size")
+                    raise TypeError("cannot change dtype of input to smaller size")
                 change.dtype = r.dtype
                 change[:] = r
 
@@ -1259,7 +1259,7 @@ def ensure_float(arr):
 
 def _mut_exclusive(arg1, arg2):
     if arg1 is not None and arg2 is not None:
-        raise Exception('mutually exclusive arguments')
+        raise TypeError('mutually exclusive arguments')
     elif arg1 is not None:
         return arg1
     else:
diff --git a/pandas/core/format.py b/pandas/core/format.py
index 40d80e91f0264..f760e6226b454 100644
--- a/pandas/core/format.py
+++ b/pandas/core/format.py
@@ -825,7 +825,7 @@ def __init__(self, obj, path_or_buf, sep=",", na_rep='', float_format=None,
         # validate mi options
         if self.has_mi_columns:
             if cols is not None:
-                raise Exception("cannot specify cols with a multi_index on the columns")
+                raise TypeError("cannot specify cols with a multi_index on the columns")
 
         if cols is not None:
             if isinstance(cols,Index):
diff --git a/pandas/core/frame.py b/pandas/core/frame.py
index f0145364363ac..158543021c4e7 100644
--- a/pandas/core/frame.py
+++ b/pandas/core/frame.py
@@ -933,7 +933,7 @@ def dot(self, other):
             lvals = self.values
             rvals = np.asarray(other)
             if lvals.shape[1] != rvals.shape[0]:
-                raise Exception('Dot product shape mismatch, %s vs %s' %
+                raise ValueError('Dot product shape mismatch, %s vs %s' %
                                 (lvals.shape, rvals.shape))
 
         if isinstance(other, DataFrame):
@@ -2844,7 +2844,7 @@ def set_index(self, keys, drop=True, append=False, inplace=False,
 
         if verify_integrity and not index.is_unique:
             duplicates = index.get_duplicates()
-            raise Exception('Index has duplicate keys: %s' % duplicates)
+            raise ValueError('Index has duplicate keys: %s' % duplicates)
 
         for c in to_remove:
             del frame[c]
@@ -3315,7 +3315,7 @@ def sortlevel(self, level=0, axis=0, ascending=True, inplace=False):
         axis = self._get_axis_number(axis)
         the_axis = self._get_axis(axis)
         if not isinstance(the_axis, MultiIndex):
-            raise Exception('can only sort by level with a hierarchical index')
+            raise TypeError('can only sort by level with a hierarchical index')
 
         new_axis, indexer = the_axis.sortlevel(level, ascending=ascending)
 
@@ -3377,7 +3377,7 @@ def reorder_levels(self, order, axis=0):
         axis = self._get_axis_number(axis)
         if not isinstance(self._get_axis(axis),
                           MultiIndex):  # pragma: no cover
-            raise Exception('Can only reorder levels on a hierarchical axis.')
+            raise TypeError('Can only reorder levels on a hierarchical axis.')
 
         result = self.copy()
 
@@ -3789,7 +3789,7 @@ def rename(self, index=None, columns=None, copy=True, inplace=False):
         from pandas.core.series import _get_rename_function
 
         if index is None and columns is None:
-            raise Exception('must pass either index or columns')
+            raise TypeError('must pass either index or columns')
 
         index_f = _get_rename_function(index)
         columns_f = _get_rename_function(columns)
diff --git a/pandas/core/index.py b/pandas/core/index.py
index a5880b9f18670..a9ccda3778780 100644
--- a/pandas/core/index.py
+++ b/pandas/core/index.py
@@ -361,7 +361,7 @@ def __hash__(self):
         return hash(self.view(np.ndarray))
 
     def __setitem__(self, key, value):
-        raise Exception(str(self.__class__) + ' object is immutable')
+        raise TypeError(str(self.__class__) + ' does not support item assignment')
 
     def __getitem__(self, key):
         """Override numpy.ndarray's __getitem__ method to work as desired"""
@@ -547,7 +547,7 @@ def order(self, return_indexer=False, ascending=True):
             return sorted_index
 
     def sort(self, *args, **kwargs):
-        raise Exception('Cannot sort an Index object')
+        raise TypeError('Cannot sort an %r object' % self.__class__.__name__)
 
     def shift(self, periods=1, freq=None):
         """
@@ -606,7 +606,7 @@ def union(self, other):
         union : Index
         """
         if not hasattr(other, '__iter__'):
-            raise Exception('Input must be iterable!')
+            raise TypeError('Input must be iterable!')
 
         if len(other) == 0 or self.equals(other):
             return self
@@ -671,7 +671,7 @@ def intersection(self, other):
         intersection : Index
         """
         if not hasattr(other, '__iter__'):
-            raise Exception('Input must be iterable!')
+            raise TypeError('Input must be iterable!')
 
         self._assert_can_do_setop(other)
 
@@ -713,7 +713,7 @@ def diff(self, other):
         """
 
         if not hasattr(other, '__iter__'):
-            raise Exception('Input must be iterable!')
+            raise TypeError('Input must be iterable!')
 
         if self.equals(other):
             return Index([], name=self.name)
@@ -1080,7 +1080,7 @@ def _join_level(self, other, level, how='left', return_indexers=False):
         the MultiIndex will not be changed (currently)
         """
         if isinstance(self, MultiIndex) and isinstance(other, MultiIndex):
-            raise Exception('Join on level between two MultiIndex objects '
+            raise TypeError('Join on level between two MultiIndex objects '
                             'is ambiguous')
 
         left, right = self, other
@@ -2298,7 +2298,7 @@ def _partial_tup_index(self, tup, side='left'):
 
             if lab not in lev:
                 if not lev.is_type_compatible(lib.infer_dtype([lab])):
-                    raise Exception('Level type mismatch: %s' % lab)
+                    raise TypeError('Level type mismatch: %s' % lab)
 
                 # short circuit
                 loc = lev.searchsorted(lab, side=side)
@@ -2738,7 +2738,7 @@ def _ensure_index(index_like):
 
 def _validate_join_method(method):
     if method not in ['left', 'right', 'inner', 'outer']:
-        raise Exception('do not recognize join method %s' % method)
+        raise ValueError('do not recognize join method %s' % method)
 
 
 # TODO: handle index names!
diff --git a/pandas/core/internals.py b/pandas/core/internals.py
index 01e976e397111..0b6de7213ec1f 100644
--- a/pandas/core/internals.py
+++ b/pandas/core/internals.py
@@ -1571,7 +1571,7 @@ def xs(self, key, axis=1, copy=True):
         new_blocks = []
         if len(self.blocks) > 1:
             if not copy:
-                raise Exception('cannot get view of mixed-type or '
+                raise TypeError('cannot get view of mixed-type or '
                                 'non-consolidated DataFrame')
             for blk in self.blocks:
                 newb = make_block(blk.values[slicer], 
@@ -1604,7 +1604,7 @@ def fast_2d_xs(self, loc, copy=False):
             return result
 
         if not copy:
-            raise Exception('cannot get view of mixed-type or '
+            raise TypeError('cannot get view of mixed-type or '
                             'non-consolidated DataFrame')
 
         dtype = _interleaved_dtype(self.blocks)
@@ -2093,7 +2093,7 @@ def _maybe_rename_join(self, other, lsuffix, rsuffix, copydata=True):
         to_rename = self.items.intersection(other.items)
         if len(to_rename) > 0:
             if not lsuffix and not rsuffix:
-                raise Exception('columns overlap: %s' % to_rename)
+                raise ValueError('columns overlap: %s' % to_rename)
 
             def lrenamer(x):
                 if x in to_rename:
@@ -2377,7 +2377,7 @@ def _shape_compat(x):
     else:
         items = _ensure_index([ n for n in names if n in ref_items ])
         if len(items) != len(stacked):
-            raise Exception("invalid names passed _stack_arrays")
+            raise ValueError("invalid names passed _stack_arrays")
 
     return items, stacked, placement
 
diff --git a/pandas/core/panel.py b/pandas/core/panel.py
index 0a099661c58f1..455ab96ac08ba 100644
--- a/pandas/core/panel.py
+++ b/pandas/core/panel.py
@@ -137,7 +137,7 @@ def f(self, other):
         if isinstance(other, self._constructor):
             return self._compare_constructor(other, func)
         elif isinstance(other, (self._constructor_sliced, DataFrame, Series)):
-            raise Exception("input needs alignment for this object [%s]" %
+            raise ValueError("input needs alignment for this object [%s]" %
                             self._constructor)
         else:
             return self._combine_const(other, na_op)
diff --git a/pandas/core/panelnd.py b/pandas/core/panelnd.py
index 08ff3b70dcb13..4928cb565147a 100644
--- a/pandas/core/panelnd.py
+++ b/pandas/core/panelnd.py
@@ -58,7 +58,7 @@ def create_nd_panel_factory(klass_name, axis_orders, axis_slices, slicer, axis_a
     #### define the methods ####
     def __init__(self, *args, **kwargs):
         if not (kwargs.get('data') or len(args)):
-            raise Exception(
+            raise TypeError(
                 "must supply at least a data argument to [%s]" % klass_name)
         if 'copy' not in kwargs:
             kwargs['copy'] = False
diff --git a/pandas/core/series.py b/pandas/core/series.py
index 938cd99dcef8d..605f8188ccf4c 100644
--- a/pandas/core/series.py
+++ b/pandas/core/series.py
@@ -1962,7 +1962,8 @@ def clip(self, lower=None, upper=None, out=None):
         clipped : Series
         """
         if out is not None:  # pragma: no cover
-            raise Exception('out argument is not supported yet')
+            # TODO: Support out argument?
+            raise NotImplementedError('out argument is not supported yet')
 
         result = self
         if lower is not None:
@@ -2028,7 +2029,7 @@ def dot(self, other):
             lvals = self.values
             rvals = np.asarray(other)
             if lvals.shape[0] != rvals.shape[0]:
-                raise Exception('Dot product shape mismatch, %s vs %s' %
+                raise ValueError('Dot product shape mismatch, %s vs %s' %
                                 (lvals.shape, rvals.shape))
 
         if isinstance(other, DataFrame):
@@ -2379,7 +2380,7 @@ def sortlevel(self, level=0, ascending=True):
         sorted : Series
         """
         if not isinstance(self.index, MultiIndex):
-            raise Exception('can only sort by level with a hierarchical index')
+            raise TypeError('can only sort by level with a hierarchical index')
 
         new_index, indexer = self.index.sortlevel(level, ascending=ascending)
         new_values = self.values.take(indexer)
@@ -2417,7 +2418,7 @@ def reorder_levels(self, order):
         type of caller (new object)
         """
         if not isinstance(self.index, MultiIndex):  # pragma: no cover
-            raise Exception('Can only reorder levels on a hierarchical axis.')
+            raise TypeError('Can only reorder levels on a hierarchical axis.')
 
         result = self.copy()
         result.index = result.index.reorder_levels(order)
@@ -3156,7 +3157,7 @@ def interpolate(self, method='linear'):
         """
         if method == 'time':
             if not isinstance(self, TimeSeries):
-                raise Exception('time-weighted interpolation only works'
+                raise TypeError('time-weighted interpolation only works'
                                 'on TimeSeries')
             method = 'values'
             # inds = pa.array([d.toordinal() for d in self.index])
@@ -3279,7 +3280,7 @@ def tz_localize(self, tz, copy=True):
 
         if not isinstance(self.index, DatetimeIndex):
             if len(self.index) > 0:
-                raise Exception('Cannot tz-localize non-time series')
+                raise TypeError('Cannot tz-localize non-time series')
 
             new_index = DatetimeIndex([], tz=tz)
         else:
@@ -3413,7 +3414,7 @@ def _try_cast(arr, take_fast_path):
 
     elif subarr.ndim > 1:
         if isinstance(data, pa.Array):
-            raise Exception('Data must be 1-dimensional')
+            raise ValueError('Data must be 1-dimensional')
         else:
             subarr = _asarray_tuplesafe(data, dtype=dtype)
 
diff --git a/pandas/io/excel.py b/pandas/io/excel.py
index 95702847d9c7f..0a57b13cc10fe 100644
--- a/pandas/io/excel.py
+++ b/pandas/io/excel.py
@@ -368,7 +368,7 @@ def write_cells(self, cells, sheet_name=None, startrow=0, startcol=0):
         if sheet_name is None:
             sheet_name = self.cur_sheet
         if sheet_name is None:  # pragma: no cover
-            raise Exception('Must pass explicit sheet_name or set '
+            raise TypeError('Must pass explicit sheet_name or set '
                             'cur_sheet property')
         if self.use_xlsx:
             self._writecells_xlsx(cells, sheet_name, startrow, startcol)
diff --git a/pandas/rpy/common.py b/pandas/rpy/common.py
index acc562925c925..4d0becdfc2cef 100644
--- a/pandas/rpy/common.py
+++ b/pandas/rpy/common.py
@@ -195,7 +195,7 @@ def convert_robj(obj, use_pandas=True):
         if isinstance(obj, rpy_type):
             return converter(obj)
 
-    raise Exception('Do not know what to do with %s object' % type(obj))
+    raise TypeError('Do not know what to do with %s object' % type(obj))
 
 
 def convert_to_r_posixct(obj):
diff --git a/pandas/sparse/array.py b/pandas/sparse/array.py
index 035db279064a0..028cad820abf2 100644
--- a/pandas/sparse/array.py
+++ b/pandas/sparse/array.py
@@ -261,7 +261,7 @@ def _get_val_at(self, loc):
             loc += n
 
         if loc >= len(self) or loc < 0:
-            raise Exception('Out of bounds access')
+            raise IndexError('Out of bounds access')
 
         sp_loc = self.sp_index.lookup(loc)
         if sp_loc == -1:
@@ -283,7 +283,7 @@ def take(self, indices, axis=0):
 
         n = len(self)
         if (indices < 0).any() or (indices >= n).any():
-            raise Exception('out of bounds access')
+            raise IndexError('out of bounds access')
 
         if self.sp_index.npoints > 0:
             locs = np.array([self.sp_index.lookup(loc) for loc in indices])
@@ -296,10 +296,10 @@ def take(self, indices, axis=0):
         return result
 
     def __setitem__(self, key, value):
-        raise Exception('SparseArray objects are immutable')
+        raise TypeError('%r object does not support item assignment' % self.__class__.__name__)
 
     def __setslice__(self, i, j, value):
-        raise Exception('SparseArray objects are immutable')
+        raise TypeError('%r object does not support item assignment' % self.__class__.__name__)
 
     def to_dense(self):
         """
@@ -313,7 +313,7 @@ def astype(self, dtype=None):
         """
         dtype = np.dtype(dtype)
         if dtype is not None and dtype not in (np.float_, float):
-            raise Exception('Can only support floating point data for now')
+            raise TypeError('Can only support floating point data for now')
         return self.copy()
 
     def copy(self, deep=True):
diff --git a/pandas/sparse/frame.py b/pandas/sparse/frame.py
index 9694cc005d178..bb1f5555f60b9 100644
--- a/pandas/sparse/frame.py
+++ b/pandas/sparse/frame.py
@@ -195,10 +195,10 @@ def _init_matrix(self, data, index, columns, dtype=None):
             columns = _default_index(K)
 
         if len(columns) != K:
-            raise Exception('Column length mismatch: %d vs. %d' %
+            raise ValueError('Column length mismatch: %d vs. %d' %
                             (len(columns), K))
         if len(index) != N:
-            raise Exception('Index length mismatch: %d vs. %d' %
+            raise ValueError('Index length mismatch: %d vs. %d' %
                             (len(index), N))
 
         data = dict([(idx, data[:, i]) for i, idx in enumerate(columns)])
@@ -585,7 +585,7 @@ def _combine_const(self, other, func):
     def _reindex_index(self, index, method, copy, level, fill_value=np.nan,
                        limit=None):
         if level is not None:
-            raise Exception('Reindex by level not supported for sparse')
+            raise TypeError('Reindex by level not supported for sparse')
 
         if self.index.equals(index):
             if copy:
@@ -616,7 +616,7 @@ def _reindex_index(self, index, method, copy, level, fill_value=np.nan,
 
     def _reindex_columns(self, columns, copy, level, fill_value, limit=None):
         if level is not None:
-            raise Exception('Reindex by level not supported for sparse')
+            raise TypeError('Reindex by level not supported for sparse')
 
         if com.notnull(fill_value):
             raise NotImplementedError
@@ -891,7 +891,7 @@ def stack_sparse_frame(frame):
     vals_to_concat = []
     for _, series in frame.iteritems():
         if not np.isnan(series.fill_value):
-            raise Exception('This routine assumes NaN fill value')
+            raise TypeError('This routine assumes NaN fill value')
 
         int_index = series.sp_index.to_int_index()
         inds_to_concat.append(int_index.indices)
@@ -931,7 +931,7 @@ def homogenize(series_dict):
 
     for _, series in series_dict.iteritems():
         if not np.isnan(series.fill_value):
-            raise Exception('this method is only valid with NaN fill values')
+            raise TypeError('this method is only valid with NaN fill values')
 
         if index is None:
             index = series.sp_index
diff --git a/pandas/sparse/panel.py b/pandas/sparse/panel.py
index 0b2842155b299..246e6fa93918f 100644
--- a/pandas/sparse/panel.py
+++ b/pandas/sparse/panel.py
@@ -249,7 +249,7 @@ def to_frame(self, filter_observations=True):
         frame : DataFrame
         """
         if not filter_observations:
-            raise Exception('filter_observations=False not supported for '
+            raise TypeError('filter_observations=False not supported for '
                             'SparsePanel.to_long')
 
         I, N, K = self.shape
@@ -325,7 +325,7 @@ def reindex(self, major=None, items=None, minor=None, major_axis=None,
                 if item in self._frames:
                     new_frames[item] = self._frames[item]
                 else:
-                    raise Exception('Reindexing with new items not yet '
+                    raise NotImplementedError('Reindexing with new items not yet '
                                     'supported')
         else:
             new_frames = self._frames
@@ -488,7 +488,7 @@ def _stack_sparse_info(frame):
         series = frame[col]
 
         if not np.isnan(series.fill_value):
-            raise Exception('This routine assumes NaN fill value')
+            raise TypeError('This routine assumes NaN fill value')
 
         int_index = series.sp_index.to_int_index()
         inds_to_concat.append(int_index.indices)
diff --git a/pandas/sparse/series.py b/pandas/sparse/series.py
index bd01845a295b6..1b8d3541da289 100644
--- a/pandas/sparse/series.py
+++ b/pandas/sparse/series.py
@@ -133,7 +133,7 @@ def __new__(cls, data, index=None, sparse_index=None, kind='block',
                     raise AssertionError()
         else:
             if index is None:
-                raise Exception('must pass index!')
+                raise TypeError('must pass index!')
 
             length = len(index)
 
@@ -388,7 +388,7 @@ def astype(self, dtype=None):
 
         """
         if dtype is not None and dtype not in (np.float_, float):
-            raise Exception('Can only support floating point data')
+            raise TypeError('Can only support floating point data')
 
         return self.copy()
 
diff --git a/pandas/stats/common.py b/pandas/stats/common.py
index c3034dbc390bf..85e8916b30169 100644
--- a/pandas/stats/common.py
+++ b/pandas/stats/common.py
@@ -10,7 +10,7 @@ def _get_cluster_type(cluster_type):
     elif cluster_type_up == 'TIME':
         return 'time'
     else:  # pragma: no cover
-        raise Exception('Unrecognized cluster type: %s' % cluster_type)
+        raise ValueError('Unrecognized cluster type: %s' % cluster_type)
 
 _CLUSTER_TYPES = {
     0: 'time',
@@ -35,7 +35,7 @@ def _get_window_type(window_type):
     elif window_type_up == 'EXPANDING':
         return 'expanding'
     else:  # pragma: no cover
-        raise Exception('Unrecognized window type: %s' % window_type)
+        raise ValueError('Unrecognized window type: %s' % window_type)
 
 
 def banner(text, width=80):
diff --git a/pandas/tools/merge.py b/pandas/tools/merge.py
index 75e35b403dd78..d11fa4a20b084 100644
--- a/pandas/tools/merge.py
+++ b/pandas/tools/merge.py
@@ -1039,7 +1039,7 @@ def _concat_blocks(self, blocks):
         if self.axis > 0:
             # Not safe to remove this check, need to profile
             if not _all_indexes_same([b.items for b in blocks]):
-                raise Exception('dtypes are not consistent throughout '
+                raise TypeError('dtypes are not consistent throughout '
                                 'DataFrames')
             return make_block(concat_values, blocks[0].items, self.new_axes[0])
         else:
@@ -1184,7 +1184,7 @@ def _maybe_check_integrity(self, concat_index):
         if self.verify_integrity:
             if not concat_index.is_unique:
                 overlap = concat_index.get_duplicates()
-                raise Exception('Indexes have overlapping values: %s'
+                raise ValueError('Indexes have overlapping values: %s'
                                 % str(overlap))
 
 
diff --git a/pandas/tools/tile.py b/pandas/tools/tile.py
index 4c68594a8a093..ffed6cafc1047 100644
--- a/pandas/tools/tile.py
+++ b/pandas/tools/tile.py
@@ -151,7 +151,7 @@ def _bins_to_cuts(x, bins, right=True, labels=None, retbins=False,
     ids = bins.searchsorted(x, side=side)
 
     if len(algos.unique(bins)) < len(bins):
-        raise Exception('Bin edges must be unique: %s' % repr(bins))
+        raise ValueError('Bin edges must be unique: %s' % repr(bins))
 
     if include_lowest:
         ids[x == bins[0]] = 1
diff --git a/pandas/tseries/frequencies.py b/pandas/tseries/frequencies.py
index 5985a8a898b27..28127c34c2e96 100644
--- a/pandas/tseries/frequencies.py
+++ b/pandas/tseries/frequencies.py
@@ -499,7 +499,7 @@ def get_offset(name):
     if offset is not None:
         return offset
     else:
-        raise Exception('Bad rule name requested: %s!' % name)
+        raise ValueError('Bad rule name requested: %s!' % name)
 
 
 getOffset = get_offset
@@ -522,7 +522,7 @@ def get_offset_name(offset):
     if name is not None:
         return name
     else:
-        raise Exception('Bad rule given: %s!' % offset)
+        raise ValueError('Bad rule given: %s!' % offset)
 
 
 def get_legacy_offset_name(offset):
diff --git a/pandas/tseries/index.py b/pandas/tseries/index.py
index 1cb986ee6cd7c..7016a216f5d60 100644
--- a/pandas/tseries/index.py
+++ b/pandas/tseries/index.py
@@ -432,7 +432,7 @@ def _cached_range(cls, start=None, end=None, periods=None, offset=None,
             end = Timestamp(end)
 
         if offset is None:
-            raise Exception('Must provide a DateOffset!')
+            raise TypeError('Must provide a DateOffset!')
 
         drc = _daterange_cache
         if offset not in _daterange_cache:
@@ -926,10 +926,10 @@ def _maybe_utc_convert(self, other):
         if isinstance(other, DatetimeIndex):
             if self.tz is not None:
                 if other.tz is None:
-                    raise Exception('Cannot join tz-naive with tz-aware '
+                    raise TypeError('Cannot join tz-naive with tz-aware '
                                     'DatetimeIndex')
             elif other.tz is not None:
-                raise Exception('Cannot join tz-naive with tz-aware '
+                raise TypeError('Cannot join tz-naive with tz-aware '
                                 'DatetimeIndex')
 
             if self.tz != other.tz:
@@ -1482,7 +1482,7 @@ def tz_convert(self, tz):
 
         if self.tz is None:
             # tz naive, use tz_localize
-            raise Exception('Cannot convert tz-naive timestamps, use '
+            raise TypeError('Cannot convert tz-naive timestamps, use '
                             'tz_localize to localize')
 
         # No conversion since timestamps are all UTC to begin with
diff --git a/pandas/tseries/offsets.py b/pandas/tseries/offsets.py
index 025a12a17687e..9585d1f81e81d 100644
--- a/pandas/tseries/offsets.py
+++ b/pandas/tseries/offsets.py
@@ -351,7 +351,7 @@ def apply(self, other):
             return BDay(self.n, offset=self.offset + other,
                         normalize=self.normalize)
         else:
-            raise Exception('Only know how to combine business day with '
+            raise TypeError('Only know how to combine business day with '
                             'datetime or timedelta!')
 
     @classmethod
@@ -487,7 +487,7 @@ def __init__(self, n=1, **kwds):
 
         if self.weekday is not None:
             if self.weekday < 0 or self.weekday > 6:
-                raise Exception('Day must be 0<=day<=6, got %d' %
+                raise ValueError('Day must be 0<=day<=6, got %d' %
                                 self.weekday)
 
         self._inc = timedelta(weeks=1)
@@ -562,13 +562,13 @@ def __init__(self, n=1, **kwds):
         self.week = kwds['week']
 
         if self.n == 0:
-            raise Exception('N cannot be 0')
+            raise ValueError('N cannot be 0')
 
         if self.weekday < 0 or self.weekday > 6:
-            raise Exception('Day must be 0<=day<=6, got %d' %
+            raise ValueError('Day must be 0<=day<=6, got %d' %
                             self.weekday)
         if self.week < 0 or self.week > 3:
-            raise Exception('Week must be 0<=day<=3, got %d' %
+            raise ValueError('Week must be 0<=day<=3, got %d' %
                             self.week)
 
         self.kwds = kwds
diff --git a/pandas/tseries/tools.py b/pandas/tseries/tools.py
index 90bc0beb8eb84..de6112f40b4ad 100644
--- a/pandas/tseries/tools.py
+++ b/pandas/tseries/tools.py
@@ -354,6 +354,6 @@ def ole2datetime(oledt):
     # Excel has a bug where it thinks the date 2/29/1900 exists
     # we just reject any date before 3/1/1900.
     if val < 61:
-        raise Exception("Value is outside of acceptable range: %s " % val)
+        raise ValueError("Value is outside of acceptable range: %s " % val)
 
     return OLE_TIME_ZERO + timedelta(days=val)