CLN: clean up unused imports

pandas/core/base.py

@@ -1,13 +1,10 @@
 """
 Base and utility classes for pandas objects.
 """
-import datetime
-
 from pandas import compat
 import numpy as np
 from pandas.core import common as com
 import pandas.core.nanops as nanops
-import pandas.tslib as tslib
 import pandas.lib as lib
 from pandas.util.decorators import Appender, cache_readonly
 from pandas.core.strings import StringMethods

pandas/core/categorical.py

@@ -18,7 +18,7 @@
                                 _possibly_infer_to_datetimelike, get_dtype_kinds,
                                 is_list_like, is_sequence, is_null_slice, is_bool,
                                 _ensure_platform_int, _ensure_object, _ensure_int64,
-                                _coerce_indexer_dtype, _values_from_object, take_1d)
+                                _coerce_indexer_dtype, take_1d)
 from pandas.util.terminal import get_terminal_size
 from pandas.core.config import get_option
 

pandas/core/frame.py

@@ -26,8 +26,9 @@
 from pandas.core.common import (isnull, notnull, PandasError, _try_sort,
                                 _default_index, _maybe_upcast, is_sequence,
                                 _infer_dtype_from_scalar, _values_from_object,
-                                is_list_like, _get_dtype, _maybe_box_datetimelike,
-                                is_categorical_dtype, is_object_dtype, _possibly_infer_to_datetimelike)
+                                is_list_like, _maybe_box_datetimelike,
+                                is_categorical_dtype, is_object_dtype,
+                                _possibly_infer_to_datetimelike)
 from pandas.core.generic import NDFrame, _shared_docs
 from pandas.core.index import Index, MultiIndex, _ensure_index
 from pandas.core.indexing import (maybe_droplevels,

pandas/core/generic.py

@@ -17,7 +17,7 @@
 import pandas.core.common as com
 import pandas.core.datetools as datetools
 from pandas import compat
-from pandas.compat import map, zip, lrange, string_types, isidentifier, lmap
+from pandas.compat import map, zip, lrange, string_types, isidentifier
 from pandas.core.common import (isnull, notnull, is_list_like,
                                 _values_from_object, _maybe_promote,
                                 _maybe_box_datetimelike, ABCSeries,

pandas/core/groupby.py

@@ -14,7 +14,7 @@
 from pandas.core.categorical import Categorical
 from pandas.core.frame import DataFrame
 from pandas.core.generic import NDFrame
-from pandas.core.index import Index, MultiIndex, CategoricalIndex, _ensure_index, _union_indexes
+from pandas.core.index import Index, MultiIndex, CategoricalIndex, _ensure_index
 from pandas.core.internals import BlockManager, make_block
 from pandas.core.series import Series
 from pandas.core.panel import Panel

pandas/core/index.py

@@ -8,7 +8,6 @@
 from pandas import compat
 import numpy as np
 
-from math import ceil
 from sys import getsizeof
 import pandas.tslib as tslib
 import pandas.lib as lib

pandas/core/indexing.py

@@ -1,7 +1,6 @@
 # pylint: disable=W0223
 
-from datetime import datetime
-from pandas.core.index import Index, MultiIndex, _ensure_index
+from pandas.core.index import Index, MultiIndex
 from pandas.compat import range, zip
 import pandas.compat as compat
 import pandas.core.common as com
@@ -10,8 +9,6 @@
                                 is_null_slice,
                                 ABCSeries, ABCDataFrame, ABCPanel, is_float,
                                 _values_from_object, _infer_fill_value, is_integer)
-import pandas.lib as lib
-
 import numpy as np
 
 # the supported indexers

pandas/core/nanops.py

@@ -1,7 +1,5 @@
-import sys
 import itertools
 import functools
-
 import numpy as np
 
 try:
@@ -10,7 +8,6 @@
 except ImportError:  # pragma: no cover
     _USE_BOTTLENECK = False
 
-import pandas.core.common as com
 import pandas.hashtable as _hash
 from pandas import compat, lib, algos, tslib
 from pandas.compat import builtins

pandas/core/panel.py

@@ -6,7 +6,6 @@
 from pandas.compat import (map, zip, range, lrange, lmap, u, OrderedDict,
                            OrderedDefaultdict)
 from pandas import compat
-import sys
 import warnings
 import numpy as np
 from pandas.core.common import (PandasError, _try_sort, _default_index,
@@ -27,7 +26,6 @@
                                     deprecate_kwarg)
 import pandas.core.common as com
 import pandas.core.ops as ops
-import pandas.core.nanops as nanops
 import pandas.computation.expressions as expressions
 from pandas import lib
 

pandas/core/panelnd.py

@@ -1,6 +1,5 @@
 """ Factory methods to create N-D panels """
 
-import pandas.lib as lib
 from pandas.compat import zip
 import pandas.compat as compat
 

pandas/core/reshape.py

@@ -14,8 +14,7 @@
 from pandas._sparse import IntIndex
 
 from pandas.core.categorical import Categorical
-from pandas.core.common import (notnull, _ensure_platform_int, _maybe_promote,
-                                isnull)
+from pandas.core.common import notnull, _ensure_platform_int, _maybe_promote
 from pandas.core.groupby import get_group_index, _compress_group_index
 
 import pandas.core.common as com

pandas/core/series.py

@@ -19,8 +19,8 @@
                                 is_list_like, _values_from_object,
                                 _possibly_cast_to_datetime, _possibly_castable,
                                 _possibly_convert_platform, _try_sort,
-                                ABCSparseArray, _maybe_match_name, _coerce_to_dtype,
-                                _ensure_object, SettingWithCopyError,
+                                ABCSparseArray, _maybe_match_name,
+                                _coerce_to_dtype, SettingWithCopyError,
                                 _maybe_box_datetimelike, ABCDataFrame)
 from pandas.core.index import (Index, MultiIndex, InvalidIndexError,
                                _ensure_index)

pandas/util/decorators.py

@@ -26,7 +26,7 @@ def deprecate_kwarg(old_arg_name, new_arg_name, mapping=None):
         Name of prefered argument in function
     mapping : dict or callable
         If mapping is present, use it to translate old arguments to
-        new arguments.  A callable must do its own value checking;
+        new arguments. A callable must do its own value checking;
         values not found in a dict will be forwarded unchanged.
 
     Examples
@@ -45,7 +45,7 @@ def deprecate_kwarg(old_arg_name, new_arg_name, mapping=None):
     should raise warning
     >>> f(cols='should error', columns="can't pass do both")
     TypeError: Can only specify 'cols' or 'columns', not both
-    >>> @deprecate_kwarg('old', 'new', {'yes': True, 'no', False})
+    >>> @deprecate_kwarg('old', 'new', {'yes': True, 'no': False})
     ... def f(new=False):
     ...     print('yes!' if new else 'no!')
     ...