CLN: prepare unifying hashtable.factorize and .unique; add doc-strings

asv_bench/benchmarks/indexing.py

@@ -2,10 +2,10 @@
 
 import numpy as np
 import pandas.util.testing as tm
-from pandas import (Series, DataFrame, MultiIndex, Int64Index, Float64Index,
-                    IntervalIndex, CategoricalIndex,
-                    IndexSlice, concat, date_range)
-from .pandas_vb_common import setup, Panel  # noqa
+from pandas import (Series, DataFrame, MultiIndex, Panel,
+                    Int64Index, Float64Index, IntervalIndex,
+                    CategoricalIndex, IndexSlice, concat, date_range)
+from .pandas_vb_common import setup  # noqa
 
 
 class NumericSeriesIndexing(object):

asv_bench/benchmarks/join_merge.py

@@ -3,14 +3,15 @@
 
 import numpy as np
 import pandas.util.testing as tm
-from pandas import (DataFrame, Series, MultiIndex, date_range, concat, merge,
-                    merge_asof)
+from pandas import (DataFrame, Series, Panel, MultiIndex,
+                    date_range, concat, merge, merge_asof)
+
 try:
     from pandas import merge_ordered
 except ImportError:
     from pandas import ordered_merge as merge_ordered
 
-from .pandas_vb_common import Panel, setup  # noqa
+from .pandas_vb_common import setup  # noqa
 
 
 class Append(object):

asv_bench/benchmarks/panel_ctor.py

@@ -1,9 +1,9 @@
 import warnings
 from datetime import datetime, timedelta
 
-from pandas import DataFrame, DatetimeIndex, date_range
+from pandas import DataFrame, Panel, DatetimeIndex, date_range
 
-from .pandas_vb_common import Panel, setup  # noqa
+from .pandas_vb_common import setup  # noqa
 
 
 class DifferentIndexes(object):

asv_bench/benchmarks/panel_methods.py

@@ -1,8 +1,9 @@
 import warnings
 
 import numpy as np
+from pandas import Panel
 
-from .pandas_vb_common import Panel, setup  # noqa
+from .pandas_vb_common import setup  # noqa
 
 
 class PanelMethods(object):