COMPAT: numpy 1.13 test compat (pandas-dev#16654)

* COMPAT: numpy 1.13 test compat

* CI: fix doc build to 1.12

ci/requirements-3.6_DOC.build

@@ -1,5 +1,5 @@
 python=3.6*
 python-dateutil
 pytz
-numpy
+numpy=1.12*
 cython

pandas/compat/numpy/__init__.py

@@ -15,6 +15,7 @@
 _np_version_under1p11 = _nlv < '1.11'
 _np_version_under1p12 = _nlv < '1.12'
 _np_version_under1p13 = _nlv < '1.13'
+_np_version_under1p14 = _nlv < '1.14'
 
 if _nlv < '1.7.0':
     raise ImportError('this version of pandas is incompatible with '
@@ -74,4 +75,6 @@ def np_array_datetime64_compat(arr, *args, **kwargs):
            '_np_version_under1p10',
            '_np_version_under1p11',
            '_np_version_under1p12',
+           '_np_version_under1p13',
+           '_np_version_under1p14'
            ]

pandas/tests/test_expressions.py

@@ -13,7 +13,7 @@
 
 from pandas.core.api import DataFrame, Panel
 from pandas.core.computation import expressions as expr
-from pandas import compat, _np_version_under1p11
+from pandas import compat, _np_version_under1p11, _np_version_under1p13
 from pandas.util.testing import (assert_almost_equal, assert_series_equal,
                                  assert_frame_equal, assert_panel_equal,
                                  assert_panel4d_equal, slow)
@@ -420,6 +420,10 @@ def test_bool_ops_warn_on_arithmetic(self):
             f = getattr(operator, name)
             fe = getattr(operator, sub_funcs[subs[op]])
 
+            # >= 1.13.0 these are now TypeErrors
+            if op == '-' and not _np_version_under1p13:
+                continue
+
             with tm.use_numexpr(True, min_elements=5):
                 with tm.assert_produces_warning(check_stacklevel=False):
                     r = f(df, df)