NumPy 1.14.1 released
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Hi All, On behalf of the NumPy team, I am pleased to announce NumPy 1.14.1. This is a bugfix release for some problems reported following the 1.14.0 release. The major problems fixed are the following. - Problems with the new array printing, particularly the printing of complex values, Please report any additional problems that may turn up. - Problems with ``np.einsum`` due to the new ``optimized=True`` default. Some fixes for optimization have been applied and ``optimize=False`` is now the default. - The sort order in ``np.unique`` when ``axis=<some-number>`` will now always be lexicographic in the subarray elements. In previous NumPy versions there was an optimization that could result in sorting the subarrays as unsigned byte strings. - The change in 1.14.0 that multi-field indexing of structured arrays returns a view instead of a copy has been reverted but remains on track for NumPy 1.15. Affected users should read the 1.14.1 Numpy User Guide section "basics/structured arrays/accessing multiple fields" for advice on how to manage this transition. This release supports Python 2.7 and 3.4 - 3.6. Wheels for the release are available on PyPI. Source tarballs, zipfiles, release notes, and the changelog are available on github <https://github.com/numpy/numpy/releases/tag/v1.14.1>. *Contributors* A total of 14 people contributed to this release. People with a "+" by their names contributed a patch for the first time. * Allan Haldane * Charles Harris * Daniel Smith * Dennis Weyland + * Eric Larson * Eric Wieser * Jarrod Millman * Kenichi Maehashi + * Marten van Kerkwijk * Mathieu Lamarre * Sebastian Berg * Simon Conseil * Simon Gibbons * xoviat Cheers, Charles Harris
participants (2)
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Charles R Harris
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Sebastian Berg