Fix lint errors

Author: sinhrks

pandas/indexes/base.py

@@ -26,13 +26,11 @@
                                  is_dtype_equal,
                                  is_object_dtype,
                                  is_categorical_dtype,
-                                 is_datetime64_any_dtype,
-                                 is_timedelta64_dtype,
-                                 is_period_dtype,
                                  is_bool_dtype,
                                  is_integer_dtype, is_float_dtype,
                                  is_datetime64_any_dtype,
                                  is_timedelta64_dtype,
+                                 is_period_dtype,
                                  needs_i8_conversion,
                                  is_iterator, is_list_like,
                                  is_scalar)

pandas/tseries/period.py

@@ -43,7 +43,6 @@
                                     deprecate_kwarg)
 from pandas.lib import infer_dtype
 import pandas.tslib as tslib
-from pandas.tslib import Timedelta
 from pandas.compat import zip, u
 
 

pandas/tseries/tests/test_period.py

@@ -1896,27 +1896,6 @@ def test_constructor_mixed(self):
         exp = PeriodIndex(['2011-01-01', 'NaT', '2012-01-01'], freq='D')
         tm.assert_index_equal(idx, exp)
 
-    def test_constructor_dtype(self):
-        # passing a dtype with a tz should localize
-        idx = PeriodIndex(['2013-01', '2013-03'], dtype='period[M]')
-        exp = PeriodIndex(['2013-01', '2013-03'], freq='M')
-        tm.assert_index_equal(idx, exp)
-
-        idx = PeriodIndex(['2013-01-05', '2013-03-05'], dtype='period[3D]')
-        exp = PeriodIndex(['2013-01-05', '2013-03-05'], freq='3D')
-        tm.assert_index_equal(idx, exp)
-
-        # if we already have a tz and its not the same, then raise
-        idx = PeriodIndex(['2013-01-01', '2013-01-02'], freq='D')
-
-        res = PeriodIndex(idx, dtype='period[M]')
-        exp = PeriodIndex(['2013-01', '2013-01'], freq='M')
-        tm.assert_index_equal(res, exp)
-
-        msg = 'specified freq and dtype are different'
-        with tm.assertRaisesRegexp(period.IncompatibleFrequency, msg):
-            PeriodIndex(['2011-01'], freq='M', dtype='period[D]')
-
     def test_constructor_simple_new(self):
         idx = period_range('2007-01', name='p', periods=2, freq='M')
         result = idx._simple_new(idx, 'p', freq=idx.freq)
@@ -4195,8 +4174,6 @@ def test_pi_ops_errors(self):
                            '2011-04'], freq='M', name='idx')
         s = pd.Series(idx)
 
-        msg = r"unsupported operand type\(s\)"
-
         for obj in [idx, s]:
             for ng in ["str", 1.5]:
                 with tm.assertRaises(TypeError):

pandas/types/common.py

@@ -74,7 +74,7 @@ def is_datetimetz(array):
 
 def is_period(array):
     """ return if we are a period array """
-    return is_period_dtype(array) # or is_period_arraylike(array)
+    return is_period_dtype(array)   # or is_period_arraylike(array)
 
 
 def is_datetime64_dtype(arr_or_dtype):