Merge pull request #10141 from mortada/cleanup_imports_2

CLN: clean up unused imports part II

Author: jreback

pandas/tseries/base.py

@@ -3,7 +3,7 @@
 """
 
 import warnings
-from datetime import datetime, time, timedelta
+from datetime import datetime, timedelta
 
 from pandas import compat
 import numpy as np
@@ -13,11 +13,9 @@
 import pandas.lib as lib
 from pandas.core.index import Index
 from pandas.util.decorators import Appender, cache_readonly
-from pandas.tseries.frequencies import (
-    infer_freq, to_offset, get_period_alias,
-    Resolution)
+from pandas.tseries.frequencies import infer_freq, to_offset, Resolution
 import pandas.algos as _algos
-from pandas.core.config import get_option
+
 
 class DatetimeIndexOpsMixin(object):
     """ common ops mixin to support a unified inteface datetimelike Index """

pandas/tseries/common.py

@@ -6,7 +6,7 @@
 from pandas.tseries.index import DatetimeIndex
 from pandas.tseries.period import PeriodIndex
 from pandas.tseries.tdi import TimedeltaIndex
-from pandas import lib, tslib
+from pandas import tslib
 from pandas.core.common import (_NS_DTYPE, _TD_DTYPE, is_period_arraylike,
                                 is_datetime_arraylike, is_integer_dtype, is_list_like,
                                 get_dtype_kinds)

pandas/tseries/index.py

@@ -1,13 +1,8 @@
 # pylint: disable=E1101
 import operator
-
 from datetime import time, datetime
 from datetime import timedelta
-
 import numpy as np
-
-import warnings
-
 from pandas.core.common import (_NS_DTYPE, _INT64_DTYPE,
                                 _values_from_object, _maybe_box,
                                 ABCSeries, is_integer, is_float)

pandas/tseries/interval.py

@@ -1,4 +1,3 @@
-import numpy as np
 
 from pandas.core.index import Index
 

pandas/tseries/period.py

@@ -1,10 +1,6 @@
 # pylint: disable=E1101,E1103,W0232
-import operator
-
-from datetime import datetime, date, timedelta
+from datetime import datetime, timedelta
 import numpy as np
-from pandas.core.base import PandasObject
-
 import pandas.tseries.frequencies as frequencies
 from pandas.tseries.frequencies import get_freq_code as _gfc
 from pandas.tseries.index import DatetimeIndex, Int64Index, Index

pandas/tseries/plotting.py

@@ -5,17 +5,13 @@
 
 #!!! TODO: Use the fact that axis can have units to simplify the process
 from matplotlib import pylab
-
-import numpy as np
-
-from pandas import isnull
 from pandas.tseries.period import Period
 from pandas.tseries.offsets import DateOffset
 import pandas.tseries.frequencies as frequencies
 from pandas.tseries.index import DatetimeIndex
 import pandas.core.common as com
 
-from pandas.tseries.converter import (PeriodConverter, TimeSeries_DateLocator,
+from pandas.tseries.converter import (TimeSeries_DateLocator,
                                       TimeSeries_DateFormatter)
 
 #----------------------------------------------------------------------

pandas/tseries/resample.py

@@ -1,14 +1,11 @@
 from datetime import timedelta
-
 import numpy as np
-
 from pandas.core.groupby import BinGrouper, Grouper
 from pandas.tseries.frequencies import to_offset, is_subperiod, is_superperiod
 from pandas.tseries.index import DatetimeIndex, date_range
 from pandas.tseries.tdi import TimedeltaIndex
 from pandas.tseries.offsets import DateOffset, Tick, Day, _delta_to_nanoseconds
 from pandas.tseries.period import PeriodIndex, period_range
-import pandas.tseries.tools as tools
 import pandas.core.common as com
 import pandas.compat as compat
 

pandas/tseries/tdi.py

@@ -1,17 +1,13 @@
 """ implement the TimedeltaIndex """
 
-import operator
-import datetime
 from datetime import timedelta
 import numpy as np
-
 from pandas.core.common import (ABCSeries, _TD_DTYPE, _INT64_DTYPE,
                                 is_timedelta64_dtype, _maybe_box,
                                 _values_from_object, isnull, is_integer, is_float)
 from pandas.core.index import Index, Int64Index
 import pandas.compat as compat
 from pandas.compat import u
-from pandas.core.base import PandasObject
 from pandas.util.decorators import cache_readonly
 from pandas.tseries.frequencies import to_offset
 import pandas.core.common as com

pandas/tseries/timedeltas.py

@@ -3,14 +3,12 @@
 """
 
 import re
-from datetime import timedelta
-
 import numpy as np
 import pandas.tslib as tslib
 from pandas import compat
-from pandas.core.common import (ABCSeries, is_integer, is_integer_dtype,
-                                is_timedelta64_dtype, _values_from_object,
-                                is_list_like, isnull, _ensure_object)
+from pandas.core.common import (ABCSeries, is_integer_dtype,
+                                is_timedelta64_dtype, is_list_like,
+                                isnull, _ensure_object)
 
 def to_timedelta(arg, unit='ns', box=True, coerce=False):
     """

pandas/tseries/util.py

@@ -1,8 +1,5 @@
 from pandas.compat import range, lrange
 import numpy as np
-
-import pandas as pd
-
 import pandas.core.common as com
 from pandas.core.frame import DataFrame
 import pandas.core.nanops as nanops