remove bottleneck < 1.0.0

closes pandas-dev#15214

Author: jreback

ci/requirements-2.7_COMPAT.run

@@ -4,7 +4,6 @@ pytz=2013b
 scipy=0.11.0
 xlwt=0.7.5
 xlrd=0.9.2
-bottleneck=0.8.0
 numexpr=2.2.2
 pytables=3.0.0
 html5lib=1.0b2

ci/requirements-2.7_LOCALE.run

@@ -5,7 +5,6 @@ xlwt=0.7.5
 openpyxl=1.6.2
 xlsxwriter=0.5.2
 xlrd=0.9.2
-bottleneck=0.8.0
 matplotlib=1.3.1
 sqlalchemy=0.8.1
 html5lib=1.0b2

doc/source/install.rst

@@ -217,7 +217,8 @@ Recommended Dependencies
   If installed, must be Version 2.4.6 or higher.
 
 * `bottleneck <http://berkeleyanalytics.com/bottleneck>`__: for accelerating certain types of ``nan``
-  evaluations. ``bottleneck`` uses specialized cython routines to achieve large speedups.
+  evaluations. ``bottleneck`` uses specialized cython routines to achieve large speedups. If installed,
+  must be Version 1.0.0 or higher.
 
 .. note::
 

doc/source/whatsnew/v0.21.0.txt

@@ -205,6 +205,7 @@ Other API Changes
 ^^^^^^^^^^^^^^^^^
 
 - Support has been dropped for Python 3.4 (:issue:`15251`)
+- Support has been dropped for bottleneck < 1.0.0 (:issue:`15214`)
 - The Categorical constructor no longer accepts a scalar for the ``categories`` keyword. (:issue:`16022`)
 - Accessing a non-existent attribute on a closed :class:`~pandas.HDFStore` will now
   raise an ``AttributeError`` rather than a ``ClosedFileError`` (:issue:`16301`)

pandas/core/nanops.py

@@ -1,6 +1,8 @@
 import itertools
 import functools
 import operator
+import warnings
+from distutils.version import LooseVersion
 
 import numpy as np
 from pandas import compat
@@ -20,11 +22,24 @@
 from pandas.core.config import get_option
 from pandas.core.common import _values_from_object
 
+_BOTTLENECK_INSTALLED = False
+_MIN_BOTTLENECK_VERSION = '1.0.0'
+
 try:
     import bottleneck as bn
-    _BOTTLENECK_INSTALLED = True
+    ver = bn.__version__
+    _BOTTLENCK_INSTALLED = ver >= LooseVersion(_MIN_BOTTLENECK_VERSION)
+
+    if not _BOTTLENECK_INSTALLED:
+        warnings.warn(
+            "The installed version of bottleneck {ver} is not supported "
+            "in pandas and will be not be used\nThe minimum supported "
+            "version is {min_ver}\n".format(
+                ver=ver, min_ver=_MIN_BOTTLENECK_VERSION), UserWarning)
+
 except ImportError:  # pragma: no cover
-    _BOTTLENECK_INSTALLED = False
+    pass
+
 
 _USE_BOTTLENECK = False