NumPy 1.11.2 Release Notes ************************** Numpy 1.11.2 supports Python 2.6 - 2.7 and 3.2 - 3.5. It fixes bugs and regressions found in Numpy 1.11.1 and includes several build related improvements. Wheels for Linux, Windows, and OS X can be found on PyPI. Pull Requests Merged ==================== Fixes overridden by later merges and release notes updates are omitted. - #7736 BUG: Many functions silently drop 'keepdims' kwarg. - #7738 ENH: Add extra kwargs and update doc of many MA methods. - #7778 DOC: Update Numpy 1.11.1 release notes. - #7793 BUG: MaskedArray.count treats negative axes incorrectly. - #7816 BUG: Fix array too big error for wide dtypes. - #7821 BUG: Make sure npy_mul_with_overflow_ detects overflow. - #7824 MAINT: Allocate fewer bytes for empty arrays. - #7847 MAINT,DOC: Fix some imp module uses and update f2py.compile docstring. - #7849 MAINT: Fix remaining uses of deprecated Python imp module. - #7851 BLD: Fix ATLAS version detection. - #7896 BUG: Construct ma.array from np.array which contains padding. - #7904 BUG: Fix float16 type not being called due to wrong ordering. - #7917 BUG: Production install of numpy should not require nose. - #7919 BLD: Fixed MKL detection for recent versions of this library. - #7920 BUG: Fix for issue #7835 (ma.median of 1d). - #7932 BUG: Monkey-patch _msvccompile.gen_lib_option like other compilers. - #7939 BUG: Check for HAVE_LDOUBLE_DOUBLE_DOUBLE_LE in npy_math_complex. - #7953 BUG: Guard against buggy comparisons in generic quicksort. - #7954 BUG: Use keyword arguments to initialize Extension base class. - #7955 BUG: Make sure numpy globals keep identity after reload. - #7972 BUG: MSVCCompiler grows 'lib' & 'include' env strings exponentially. - #8005 BLD: Remove __NUMPY_SETUP__ from builtins at end of setup.py. - #8010 MAINT: Remove leftover imp module imports. - #8020 BUG: Fix return of np.ma.count if keepdims is True and axis is None. - #8024 BUG: Fix numpy.ma.median. - #8031 BUG: Fix np.ma.median with only one non-masked value. - #8044 BUG: Fix bug in NpyIter buffering with discontinuous arrays.