Move CI imports

Author: jschendel

pandas/core/indexes/base.py

@@ -1054,7 +1054,7 @@ def _to_embed(self, keep_tz=False, dtype=None):
     @Appender(_index_shared_docs['astype'])
     def astype(self, dtype, copy=True):
         if is_categorical_dtype(dtype):
-            from pandas.core.indexes.category import CategoricalIndex
+            from .category import CategoricalIndex
             return CategoricalIndex(self.values, name=self.name, dtype=dtype,
                                     copy=copy)
         return Index(self.values.astype(dtype, copy=copy), name=self.name,

pandas/core/indexes/datetimes.py

@@ -36,6 +36,7 @@
 from pandas.core.algorithms import checked_add_with_arr
 
 from pandas.core.indexes.base import Index, _index_shared_docs
+from pandas.core.indexes.category import CategoricalIndex
 from pandas.core.indexes.numeric import Int64Index, Float64Index
 import pandas.compat as compat
 from pandas.tseries.frequencies import (
@@ -918,7 +919,6 @@ def astype(self, dtype, copy=True):
                 return self.copy()
             return self
         elif is_categorical_dtype(dtype):
-            from pandas.core.indexes.category import CategoricalIndex
             return CategoricalIndex(self.values, name=self.name, dtype=dtype,
                                     copy=copy)
         elif is_string_dtype(dtype):

pandas/core/indexes/interval.py

@@ -29,6 +29,7 @@
     Interval, IntervalMixin, IntervalTree,
     intervals_to_interval_bounds)
 
+from pandas.core.indexes.category import CategoricalIndex
 from pandas.core.indexes.datetimes import date_range
 from pandas.core.indexes.timedeltas import timedelta_range
 from pandas.core.indexes.multi import MultiIndex
@@ -632,7 +633,6 @@ def astype(self, dtype, copy=True):
         elif is_object_dtype(dtype):
             return Index(self.values, dtype=object)
         elif is_categorical_dtype(dtype):
-            from pandas.core.indexes.category import CategoricalIndex
             return CategoricalIndex(self.values, name=self.name, dtype=dtype,
                                     copy=copy)
         raise ValueError('Cannot cast IntervalIndex to dtype {dtype}'

pandas/core/indexes/numeric.py

@@ -17,6 +17,7 @@
 from pandas.core import algorithms
 from pandas.core.indexes.base import (
     Index, InvalidIndexError, _index_shared_docs)
+from pandas.core.indexes.category import CategoricalIndex
 from pandas.util._decorators import Appender, cache_readonly
 import pandas.core.dtypes.concat as _concat
 import pandas.core.indexes.base as ibase
@@ -315,7 +316,6 @@ def astype(self, dtype, copy=True):
         elif is_object_dtype(dtype):
             values = self._values.astype('object', copy=copy)
         elif is_categorical_dtype(dtype):
-            from pandas.core.indexes.category import CategoricalIndex
             return CategoricalIndex(self, name=self.name, dtype=dtype,
                                     copy=copy)
         else:

pandas/core/indexes/period.py

@@ -24,6 +24,7 @@
 
 import pandas.tseries.frequencies as frequencies
 from pandas.tseries.frequencies import get_freq_code as _gfc
+from pandas.core.indexes.category import CategoricalIndex
 from pandas.core.indexes.datetimes import DatetimeIndex, Int64Index, Index
 from pandas.core.indexes.timedeltas import TimedeltaIndex
 from pandas.core.indexes.datetimelike import DatelikeOps, DatetimeIndexOpsMixin
@@ -519,7 +520,6 @@ def astype(self, dtype, copy=True, how='start'):
         elif is_period_dtype(dtype):
             return self.asfreq(freq=dtype.freq)
         elif is_categorical_dtype(dtype):
-            from pandas.core.indexes.category import CategoricalIndex
             return CategoricalIndex(self.values, name=self.name, dtype=dtype,
                                     copy=copy)
         raise TypeError('Cannot cast PeriodIndex to dtype %s' % dtype)

pandas/core/indexes/timedeltas.py

@@ -20,6 +20,7 @@
 from pandas.core.common import _maybe_box, _values_from_object
 
 from pandas.core.indexes.base import Index
+from pandas.core.indexes.category import CategoricalIndex
 from pandas.core.indexes.numeric import Int64Index
 import pandas.compat as compat
 from pandas.compat import u
@@ -501,7 +502,6 @@ def astype(self, dtype, copy=True):
             return Index(self.values.astype('i8', copy=copy), dtype='i8',
                          name=self.name)
         elif is_categorical_dtype(dtype):
-            from pandas.core.indexes.category import CategoricalIndex
             return CategoricalIndex(self.values, name=self.name, dtype=dtype,
                                     copy=copy)
         raise TypeError('Cannot cast TimedeltaIndex to dtype %s' % dtype)