CLN: remove PerformanceWarning to core.common from io.common

Author: jreback

pandas/computation/align.py

@@ -101,7 +101,7 @@ def _align_core(terms):
                                   'than an order of magnitude on term {1!r}, '
                                   'by more than {2:.4g}; performance may '
                                   'suffer'.format(axis, terms[i].name, ordm),
-                                  category=pd.io.common.PerformanceWarning,
+                                  category=pd.core.common.PerformanceWarning,
                                   stacklevel=6)
 
                 if transpose:

pandas/computation/tests/test_eval.py

@@ -1002,7 +1002,7 @@ def check_performance_warning_for_poor_alignment(self, engine, parser):
         df = DataFrame(randn(1000, 10))
         s = Series(randn(10000))
         if engine == 'numexpr':
-            seen = pd.io.common.PerformanceWarning
+            seen = pd.core.common.PerformanceWarning
         else:
             seen = False
 
@@ -1024,7 +1024,7 @@ def check_performance_warning_for_poor_alignment(self, engine, parser):
         is_python_engine = engine == 'python'
 
         if not is_python_engine:
-            wrn = pd.io.common.PerformanceWarning
+            wrn = pd.core.common.PerformanceWarning
         else:
             wrn = False
 

pandas/core/common.py

@@ -28,6 +28,10 @@ class PandasError(Exception):
     pass
 
 
+class PerformanceWarning(Warning):
+    pass
+
+
 class SettingWithCopyError(ValueError):
     pass
 

pandas/core/ops.py

@@ -24,8 +24,7 @@
                                 is_integer_dtype, is_categorical_dtype,
                                 is_object_dtype, is_timedelta64_dtype,
                                 is_datetime64_dtype, is_datetime64tz_dtype,
-                                is_bool_dtype)
-from pandas.io.common import PerformanceWarning
+                                is_bool_dtype, PerformanceWarning)
 
 # -----------------------------------------------------------------------------
 # Functions that add arithmetic methods to objects, given arithmetic factory

pandas/indexes/multi.py

@@ -22,10 +22,10 @@
                                 _values_from_object,
                                 is_iterator,
                                 _ensure_int64, is_bool_indexer,
-                                is_list_like, is_null_slice)
+                                is_list_like, is_null_slice,
+                                PerformanceWarning)
 
 from pandas.core.config import get_option
-from pandas.io.common import PerformanceWarning
 
 from pandas.indexes.base import (Index, _ensure_index, _ensure_frozen,
                                  _get_na_value, InvalidIndexError)
@@ -1095,7 +1095,7 @@ def drop(self, labels, level=None, errors='raise'):
                                       ' without a level parameter may impact '
                                       'performance.',
                                       PerformanceWarning,
-                                      stacklevel=2)
+                                      stacklevel=3)
                     loc = loc.nonzero()[0]
                     inds.extend(loc)
                 else:

pandas/io/common.py

@@ -55,10 +55,6 @@ def urlopen(*args, **kwargs):
 _VALID_URLS.discard('')
 
 
-class PerformanceWarning(Warning):
-    pass
-
-
 class DtypeWarning(Warning):
     pass
 

pandas/io/pytables.py

@@ -22,10 +22,10 @@
 from pandas.tseries.api import PeriodIndex, DatetimeIndex
 from pandas.tseries.tdi import TimedeltaIndex
 from pandas.core.base import StringMixin
-from pandas.core.common import adjoin, pprint_thing
+from pandas.core.common import (adjoin, pprint_thing, _asarray_tuplesafe,
+                                PerformanceWarning)
 from pandas.core.algorithms import match, unique
 from pandas.core.categorical import Categorical
-from pandas.core.common import _asarray_tuplesafe
 from pandas.core.internals import (BlockManager, make_block,
                                    _block2d_to_blocknd,
                                    _factor_indexer, _block_shape)
@@ -34,7 +34,6 @@
 from pandas.tools.merge import concat
 from pandas import compat
 from pandas.compat import u_safe as u, PY3, range, lrange, string_types, filter
-from pandas.io.common import PerformanceWarning
 from pandas.core.config import get_option
 from pandas.computation.pytables import Expr, maybe_expression
 

pandas/tests/frame/test_axis_select_reindex.py

@@ -16,6 +16,7 @@
                                  assert_frame_equal,
                                  assertRaisesRegexp)
 
+from pandas.core.common import PerformanceWarning
 import pandas.util.testing as tm
 
 from pandas.tests.frame.common import TestData
@@ -134,8 +135,12 @@ def test_drop_multiindex_not_lexsorted(self):
 
         # compare the results
         tm.assert_frame_equal(lexsorted_df, not_lexsorted_df)
-        tm.assert_frame_equal(lexsorted_df.drop('a', axis=1),
-                              not_lexsorted_df.drop('a', axis=1))
+
+        expected = lexsorted_df.drop('a', axis=1)
+        with tm.assert_produces_warning(PerformanceWarning):
+            result = not_lexsorted_df.drop('a', axis=1)
+
+        tm.assert_frame_equal(result, expected)
 
     def test_reindex(self):
         newFrame = self.frame.reindex(self.ts1.index)

pandas/tests/indexes/test_multi.py

@@ -8,7 +8,7 @@
 
 from pandas import (date_range, MultiIndex, Index, CategoricalIndex,
                     compat)
-from pandas.io.common import PerformanceWarning
+from pandas.core.common import PerformanceWarning
 from pandas.indexes.base import InvalidIndexError
 from pandas.compat import range, lrange, u, PY3, long, lzip
 

pandas/tests/test_indexing.py

@@ -22,7 +22,7 @@
                                  assert_frame_equal, assert_panel_equal,
                                  assert_attr_equal)
 from pandas import concat, lib
-from pandas.io.common import PerformanceWarning
+from pandas.core.common import PerformanceWarning
 
 import pandas.util.testing as tm
 from pandas import date_range

pandas/tseries/index.py

@@ -10,9 +10,8 @@
                                 is_object_dtype, is_datetime64_dtype,
                                 is_datetimetz, is_dtype_equal,
                                 ABCSeries, is_integer, is_float,
-                                DatetimeTZDtype)
+                                DatetimeTZDtype, PerformanceWarning)
 
-from pandas.io.common import PerformanceWarning
 from pandas.core.index import Index, Int64Index, Float64Index
 import pandas.compat as compat
 from pandas.compat import u

pandas/tseries/tests/test_timeseries.py

@@ -30,7 +30,7 @@
 from pandas.compat import range, long, StringIO, lrange, lmap, zip, product
 from numpy.random import rand
 from pandas.util.testing import assert_frame_equal
-from pandas.io.common import PerformanceWarning
+from pandas.core.common import PerformanceWarning
 import pandas.compat as compat
 import pandas.core.common as com
 from pandas import concat