diff --git a/asv_bench/benchmarks/indexing.py b/asv_bench/benchmarks/indexing.py
index 57ba9cd80e55c..b8e983c60b8b5 100644
--- a/asv_bench/benchmarks/indexing.py
+++ b/asv_bench/benchmarks/indexing.py
@@ -2,7 +2,7 @@
 
 import numpy as np
 import pandas.util.testing as tm
-from pandas import (Series, DataFrame, Panel, MultiIndex,
+from pandas import (Series, DataFrame, MultiIndex,
                     Int64Index, UInt64Index, Float64Index,
                     IntervalIndex, CategoricalIndex,
                     IndexSlice, concat, date_range)
@@ -277,18 +277,6 @@ def time_get_indexer_list(self, index):
         self.data.get_indexer(self.cat_list)
 
 
-class PanelIndexing(object):
-
-    def setup(self):
-        with warnings.catch_warnings(record=True):
-            self.p = Panel(np.random.randn(100, 100, 100))
-            self.inds = range(0, 100, 10)
-
-    def time_subset(self):
-        with warnings.catch_warnings(record=True):
-            self.p.ix[(self.inds, self.inds, self.inds)]
-
-
 class MethodLookup(object):
 
     def setup_cache(self):
diff --git a/asv_bench/benchmarks/join_merge.py b/asv_bench/benchmarks/join_merge.py
index 6da8287a06d80..baad8b61bfd19 100644
--- a/asv_bench/benchmarks/join_merge.py
+++ b/asv_bench/benchmarks/join_merge.py
@@ -1,9 +1,8 @@
-import warnings
 import string
 
 import numpy as np
 import pandas.util.testing as tm
-from pandas import (DataFrame, Series, Panel, MultiIndex,
+from pandas import (DataFrame, Series, MultiIndex,
                     date_range, concat, merge, merge_asof)
 
 try:
@@ -66,31 +65,6 @@ def time_concat_mixed_ndims(self, axis):
         concat(self.mixed_ndims, axis=axis)
 
 
-class ConcatPanels(object):
-
-    params = ([0, 1, 2], [True, False])
-    param_names = ['axis', 'ignore_index']
-
-    def setup(self, axis, ignore_index):
-        with warnings.catch_warnings(record=True):
-            panel_c = Panel(np.zeros((10000, 200, 2),
-                                     dtype=np.float32,
-                                     order='C'))
-            self.panels_c = [panel_c] * 20
-            panel_f = Panel(np.zeros((10000, 200, 2),
-                            dtype=np.float32,
-                            order='F'))
-            self.panels_f = [panel_f] * 20
-
-    def time_c_ordered(self, axis, ignore_index):
-        with warnings.catch_warnings(record=True):
-            concat(self.panels_c, axis=axis, ignore_index=ignore_index)
-
-    def time_f_ordered(self, axis, ignore_index):
-        with warnings.catch_warnings(record=True):
-            concat(self.panels_f, axis=axis, ignore_index=ignore_index)
-
-
 class ConcatDataFrames(object):
 
     params = ([0, 1], [True, False])
diff --git a/asv_bench/benchmarks/panel_ctor.py b/asv_bench/benchmarks/panel_ctor.py
deleted file mode 100644
index 627705284481b..0000000000000
--- a/asv_bench/benchmarks/panel_ctor.py
+++ /dev/null
@@ -1,55 +0,0 @@
-import warnings
-from datetime import datetime, timedelta
-
-from pandas import DataFrame, Panel, date_range
-
-
-class DifferentIndexes(object):
-    def setup(self):
-        self.data_frames = {}
-        start = datetime(1990, 1, 1)
-        end = datetime(2012, 1, 1)
-        for x in range(100):
-            end += timedelta(days=1)
-            idx = date_range(start, end)
-            df = DataFrame({'a': 0, 'b': 1, 'c': 2}, index=idx)
-            self.data_frames[x] = df
-
-    def time_from_dict(self):
-        with warnings.catch_warnings(record=True):
-            Panel.from_dict(self.data_frames)
-
-
-class SameIndexes(object):
-
-    def setup(self):
-        idx = date_range(start=datetime(1990, 1, 1),
-                         end=datetime(2012, 1, 1),
-                         freq='D')
-        df = DataFrame({'a': 0, 'b': 1, 'c': 2}, index=idx)
-        self.data_frames = dict(enumerate([df] * 100))
-
-    def time_from_dict(self):
-        with warnings.catch_warnings(record=True):
-            Panel.from_dict(self.data_frames)
-
-
-class TwoIndexes(object):
-
-    def setup(self):
-        start = datetime(1990, 1, 1)
-        end = datetime(2012, 1, 1)
-        df1 = DataFrame({'a': 0, 'b': 1, 'c': 2},
-                        index=date_range(start=start, end=end, freq='D'))
-        end += timedelta(days=1)
-        df2 = DataFrame({'a': 0, 'b': 1, 'c': 2},
-                        index=date_range(start=start, end=end, freq='D'))
-        dfs = [df1] * 50 + [df2] * 50
-        self.data_frames = dict(enumerate(dfs))
-
-    def time_from_dict(self):
-        with warnings.catch_warnings(record=True):
-            Panel.from_dict(self.data_frames)
-
-
-from .pandas_vb_common import setup  # noqa: F401
diff --git a/asv_bench/benchmarks/panel_methods.py b/asv_bench/benchmarks/panel_methods.py
deleted file mode 100644
index a4c12c082236e..0000000000000
--- a/asv_bench/benchmarks/panel_methods.py
+++ /dev/null
@@ -1,25 +0,0 @@
-import warnings
-
-import numpy as np
-from pandas import Panel
-
-
-class PanelMethods(object):
-
-    params = ['items', 'major', 'minor']
-    param_names = ['axis']
-
-    def setup(self, axis):
-        with warnings.catch_warnings(record=True):
-            self.panel = Panel(np.random.randn(100, 1000, 100))
-
-    def time_pct_change(self, axis):
-        with warnings.catch_warnings(record=True):
-            self.panel.pct_change(1, axis=axis)
-
-    def time_shift(self, axis):
-        with warnings.catch_warnings(record=True):
-            self.panel.shift(1, axis=axis)
-
-
-from .pandas_vb_common import setup  # noqa: F401