CLN: Remove unused and cleanup imports throughout.

pandas/core/common.py

@@ -4,24 +4,21 @@
 
 import itertools
 import re
-from datetime import datetime
+import codecs
+import csv
 
 from numpy.lib.format import read_array, write_array
 import numpy as np
-
 import pandas.algos as algos
 import pandas.lib as lib
 import pandas.tslib as tslib
 
 from pandas.util import py3compat
-import codecs
-import csv
-
 from pandas.util.py3compat import StringIO, BytesIO
-
 from pandas.core.config import get_option
 from pandas.core import array as pa
 
+
 # XXX: HACK for NumPy 1.5.1 to suppress warnings
 try:
     np.seterr(all='ignore')

pandas/core/frame.py

@@ -22,13 +22,15 @@
 from numpy import nan as NA
 import numpy as np
 import numpy.ma as ma
+import pandas.lib as lib
+import pandas.algos as _algos
 
 from pandas.core.common import (isnull, notnull, PandasError, _try_sort,
                                 _default_index, _maybe_upcast, _is_sequence,
                                 _infer_dtype_from_scalar)
 from pandas.core.generic import NDFrame
 from pandas.core.index import Index, MultiIndex, _ensure_index
-from pandas.core.indexing import (_NDFrameIndexer, _maybe_droplevels,
+from pandas.core.indexing import (_maybe_droplevels,
                                   _convert_to_index_sliceable, _check_bool_indexer,
                                   _maybe_convert_indices)
 from pandas.core.internals import (BlockManager,
@@ -39,25 +41,18 @@
 from pandas.compat.scipy import scoreatpercentile as _quantile
 from pandas.util.compat import OrderedDict
 from pandas.util import py3compat
-from pandas.util.terminal import get_terminal_size
 from pandas.util.decorators import deprecate, Appender, Substitution
-
 from pandas.tseries.period import PeriodIndex
 from pandas.tseries.index import DatetimeIndex
-
 import pandas.core.algorithms as algos
 import pandas.core.datetools as datetools
 import pandas.core.common as com
 import pandas.core.format as fmt
 import pandas.core.generic as generic
 import pandas.core.nanops as nanops
-
-import pandas.lib as lib
-import pandas.tslib as tslib
-import pandas.algos as _algos
-
 from pandas.core.config import get_option, set_option
 
+
 #----------------------------------------------------------------------
 # Docstring templates
 

pandas/core/groupby.py

@@ -1,6 +1,10 @@
 from itertools import izip
 import types
+
 import numpy as np
+import pandas.lib as lib
+import pandas.algos as _algos
+import pandas.hashtable as _hash
 
 from pandas.core.base import PandasObject
 from pandas.core.categorical import Categorical
@@ -16,9 +20,6 @@
 import pandas.core.common as com
 from pandas.core.common import _possibly_downcast_to_dtype, notnull
 
-import pandas.lib as lib
-import pandas.algos as _algos
-import pandas.hashtable as _hash
 
 _agg_doc = """Aggregate using input function or dict of {column -> function}
 

pandas/core/indexing.py

@@ -1,12 +1,11 @@
 # pylint: disable=W0223
 
-from datetime import datetime
+import numpy as np
+
 from pandas.core.common import _asarray_tuplesafe
 from pandas.core.index import Index, MultiIndex, _ensure_index
 import pandas.core.common as com
-import pandas.lib as lib
 
-import numpy as np
 
 # the supported indexers
 def get_indexers_list():

pandas/core/internals.py

@@ -4,21 +4,19 @@
 
 from numpy import nan
 import numpy as np
-from pandas.core.base import PandasObject
+import pandas.lib as lib
+import pandas.tslib as tslib
+from pandas.tslib import Timestamp
 
+from pandas.core.base import PandasObject
 from pandas.core.common import (_possibly_downcast_to_dtype, isnull, _NS_DTYPE,
                                 _TD_DTYPE)
 from pandas.core.index import (Index, MultiIndex, _ensure_index,
                                _handle_legacy_indexes)
 from pandas.core.indexing import _check_slice_bounds, _maybe_convert_indices
 import pandas.core.common as com
-import pandas.lib as lib
-import pandas.tslib as tslib
 import pandas.core.expressions as expressions
 
-from pandas.tslib import Timestamp
-from pandas.util import py3compat
-
 
 class Block(PandasObject):
     """

pandas/core/panel.py

@@ -5,7 +5,10 @@
 
 import operator
 import sys
+
 import numpy as np
+import pandas.lib as lib
+
 from pandas.core.common import (PandasError, _mut_exclusive,
                                 _try_sort, _default_index,
                                 _infer_dtype_from_scalar,
@@ -24,7 +27,6 @@
 from pandas.util.decorators import deprecate, Appender, Substitution
 import pandas.core.common as com
 import pandas.core.nanops as nanops
-import pandas.lib as lib
 
 
 def _ensure_like_indices(time, panels):

pandas/core/reshape.py

@@ -4,18 +4,17 @@
 import itertools
 
 import numpy as np
+import six
+import pandas.algos as algos
 
 from pandas.core.series import Series
 from pandas.core.frame import DataFrame
-
 from pandas.core.categorical import Categorical
 from pandas.core.common import (notnull, _ensure_platform_int, _maybe_promote,
                                 isnull)
 from pandas.core.groupby import (get_group_index, _compress_group_index,
                                  decons_group_index)
 import pandas.core.common as com
-import pandas.algos as algos
-
 from pandas.core.index import MultiIndex
 
 

pandas/core/series.py

@@ -13,6 +13,9 @@
 from numpy import nan, ndarray
 import numpy as np
 import numpy.ma as ma
+import pandas.lib as lib
+import pandas.tslib as tslib
+import pandas.index as _index
 
 from pandas.core.common import (isnull, notnull, _is_bool_indexer,
                                 _default_index, _maybe_promote, _maybe_upcast,
@@ -27,23 +30,17 @@
 from pandas.tseries.period import PeriodIndex, Period
 from pandas.util import py3compat
 from pandas.util.terminal import get_terminal_size
-
 import pandas.core.array as pa
-
 import pandas.core.common as com
 import pandas.core.datetools as datetools
 import pandas.core.format as fmt
 import pandas.core.generic as generic
 import pandas.core.nanops as nanops
 from pandas.util.decorators import Appender, Substitution, cache_readonly
-
-import pandas.lib as lib
-import pandas.tslib as tslib
-import pandas.index as _index
-
 from pandas.compat.scipy import scoreatpercentile as _quantile
 from pandas.core.config import get_option
 
+
 __all__ = ['Series', 'TimeSeries']
 
 _np_version = np.version.short_version

pandas/core/strings.py

@@ -1,10 +1,11 @@
+from itertools import izip
+import re
+
 import numpy as np
+import pandas.lib as lib
 
-from itertools import izip
 from pandas.core.common import isnull
 from pandas.core.series import Series
-import re
-import pandas.lib as lib
 
 
 def _get_array_list(arr, others):

pandas/io/ga.py

@@ -9,8 +9,6 @@
 from pandas import DataFrame
 import pandas as pd
 import pandas.io.parsers as psr
-import pandas.lib as lib
-from pandas.io.date_converters import generic_parser
 import pandas.io.auth as auth
 from pandas.util.decorators import Appender, Substitution
 

pandas/io/json.py

@@ -1,17 +1,16 @@
 
 # pylint: disable-msg=E1101,W0613,W0603
-from StringIO import StringIO
 import os
 
+import pandas.json as _json
+
 from pandas import Series, DataFrame, to_datetime
 from pandas.io.common import get_filepath_or_buffer
-import pandas.json as _json
 loads = _json.loads
 dumps = _json.dumps
 
 import numpy as np
 from pandas.tslib import iNaT
-import pandas.lib as lib
 
 ### interface to/from ###
 

pandas/io/parsers.py

@@ -6,23 +6,21 @@
 from itertools import izip
 import csv
 from warnings import warn
+import datetime
 
 import numpy as np
+import pandas.lib as lib
+import pandas.tslib as tslib
+import pandas.parser as _parser
 
 from pandas.core.index import Index, MultiIndex
 from pandas.core.frame import DataFrame
-import datetime
 import pandas.core.common as com
 from pandas.util import py3compat
 from pandas.io.date_converters import generic_parser
 from pandas.io.common import get_filepath_or_buffer
-
 from pandas.util.decorators import Appender
 
-import pandas.lib as lib
-import pandas.tslib as tslib
-import pandas.parser as _parser
-from pandas.tseries.period import Period
 
 _parser_params = """Also supports optionally iterating or breaking of the file
 into chunks.

pandas/io/pytables.py

@@ -10,8 +10,13 @@
 import copy
 import itertools
 import warnings
+from contextlib import contextmanager
 
 import numpy as np
+import pandas.lib as lib
+import pandas.algos as algos
+import pandas.tslib as tslib
+
 from pandas import (Series, TimeSeries, DataFrame, Panel, Panel4D, Index,
                     MultiIndex, Int64Index, Timestamp)
 from pandas.sparse.api import SparseSeries, SparseDataFrame, SparsePanel
@@ -30,11 +35,6 @@
 from pandas.util import py3compat
 from pandas.io.common import PerformanceWarning
 
-import pandas.lib as lib
-import pandas.algos as algos
-import pandas.tslib as tslib
-
-from contextlib import contextmanager
 
 # versioning attribute
 _version = '0.10.1'

pandas/io/sql.py

@@ -2,10 +2,10 @@
 Collection of query wrappers / abstractions to both facilitate data
 retrieval and to reduce dependency on DB-specific API.
 """
-from datetime import datetime, date
+from datetime import datetime
+import traceback
 
 import numpy as np
-import traceback
 
 from pandas.core.datetools import format as date_format
 from pandas.core.api import DataFrame, isnull

pandas/io/stata.py

@@ -10,16 +10,16 @@
 http://statsmodels.sourceforge.net/devel/
 """
 
-from StringIO import StringIO
-import numpy as np
-
 import sys
 import struct
+import datetime
+
+import numpy as np
+
 from pandas.core.base import StringMixin
 from pandas.core.frame import DataFrame
 from pandas.core.series import Series
 from pandas.core.categorical import Categorical
-import datetime
 from pandas.util import py3compat
 from pandas import isnull
 from pandas.io.parsers import _parser_params, Appender

pandas/io/tests/generate_legacy_pickles.py

@@ -36,7 +36,6 @@ def create_data():
     """ create the pickle data """
 
     import numpy as np
-    import pandas
     from pandas import (Series,DataFrame,Panel,
                         SparseSeries,SparseDataFrame,SparsePanel,
                         Index,MultiIndex,PeriodIndex,
@@ -82,9 +81,7 @@ def write_legacy_pickles():
     sys.path.insert(0,'.')
 
     import os
-    import numpy as np
     import pandas
-    import pandas.util.testing as tm
     import platform as pl
     import cPickle as pickle
 

pandas/io/tests/test_cparser.py

@@ -2,34 +2,18 @@
 C/Cython ascii file parser tests
 """
 
-from pandas.util.py3compat import StringIO, BytesIO
-from datetime import datetime
-import csv
 import os
 import sys
-import re
 import unittest
 
 import nose
-
-from numpy import nan
 import numpy as np
-
-from pandas import DataFrame, Series, Index, isnull, MultiIndex
-import pandas.io.parsers as parsers
-from pandas.io.parsers import (read_csv, read_table, read_fwf,
-                               TextParser)
-from pandas.util.testing import (assert_almost_equal, assert_frame_equal,
-                                 assert_series_equal, network)
-import pandas.lib as lib
-from pandas.util import py3compat
-from pandas.lib import Timestamp
-
-import pandas.util.testing as tm
-
 from pandas.parser import TextReader
 import pandas.parser as parser
 
+from pandas.util.py3compat import StringIO, BytesIO
+import pandas.util.testing as tm
+
 
 class TestCParser(unittest.TestCase):