COMPAT: compat with released numpy 1.11 for IndexError -> TypeError

was a revert of # numpy/numpy#6271

closes pandas-dev#12729
closes pandas-dev#12736

Author: jreback

pandas/compat/numpy_compat.py

@@ -4,19 +4,17 @@
 from distutils.version import LooseVersion
 from pandas.compat import string_types, string_and_binary_types
 
-# TODO: HACK for NumPy 1.5.1 to suppress warnings
-# is this necessary?
-try:
-    np.seterr(all='ignore')
-except Exception:  # pragma: no cover
-    pass
+# turn off all numpy warnings
+np.seterr(all='ignore')
 
 # numpy versioning
 _np_version = np.version.short_version
-_np_version_under1p8 = LooseVersion(_np_version) < '1.8'
-_np_version_under1p9 = LooseVersion(_np_version) < '1.9'
-_np_version_under1p10 = LooseVersion(_np_version) < '1.10'
-_np_version_under1p11 = LooseVersion(_np_version) < '1.11'
+_nlv = LooseVersion(_np_version)
+_np_version_under1p8 = _nlv < '1.8'
+_np_version_under1p9 = _nlv < '1.9'
+_np_version_under1p10 = _nlv < '1.10'
+_np_version_under1p11 = _nlv < '1.11'
+_np_version_under1p12 = _nlv < '1.12'
 
 if LooseVersion(_np_version) < '1.7.0':
     raise ImportError('this version of pandas is incompatible with '
@@ -67,9 +65,9 @@ def np_array_datetime64_compat(arr, *args, **kwargs):
     return np.array(arr, *args, **kwargs)
 
 __all__ = ['np',
-           '_np_version',
            '_np_version_under1p8',
            '_np_version_under1p9',
            '_np_version_under1p10',
            '_np_version_under1p11',
+           '_np_version_under1p12',
            ]

pandas/tseries/tests/test_period.py

@@ -26,7 +26,7 @@
 from pandas.compat.numpy_compat import np_datetime64_compat
 
 from pandas import (Series, DataFrame,
-                    _np_version_under1p9, _np_version_under1p11)
+                    _np_version_under1p9, _np_version_under1p12)
 from pandas import tslib
 from pandas.util.testing import (assert_series_equal, assert_almost_equal,
                                  assertRaisesRegexp)
@@ -2607,8 +2607,9 @@ def test_range_slice_day(self):
         didx = DatetimeIndex(start='2013/01/01', freq='D', periods=400)
         pidx = PeriodIndex(start='2013/01/01', freq='D', periods=400)
 
-        # changed to TypeError in 1.11
-        exc = IndexError if _np_version_under1p11 else TypeError
+        # changed to TypeError in 1.12
+        # https://github.com/numpy/numpy/pull/6271
+        exc = IndexError if _np_version_under1p12 else TypeError
 
         for idx in [didx, pidx]:
             # slices against index should raise IndexError
@@ -2664,8 +2665,9 @@ def test_range_slice_seconds(self):
                              periods=4000)
         pidx = PeriodIndex(start='2013/01/01 09:00:00', freq='S', periods=4000)
 
-        # changed to TypeError in 1.11
-        exc = IndexError if _np_version_under1p11 else TypeError
+        # changed to TypeError in 1.12
+        # https://github.com/numpy/numpy/pull/6271
+        exc = IndexError if _np_version_under1p12 else TypeError
 
         for idx in [didx, pidx]:
             # slices against index should raise IndexError