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Diffstat (limited to 'doc/release/1.15.0-notes.rst')
| -rw-r--r-- | doc/release/1.15.0-notes.rst | 33 |
1 files changed, 33 insertions, 0 deletions
diff --git a/doc/release/1.15.0-notes.rst b/doc/release/1.15.0-notes.rst index 23e0284c4..e8465d21c 100644 --- a/doc/release/1.15.0-notes.rst +++ b/doc/release/1.15.0-notes.rst @@ -85,6 +85,16 @@ Future Changes Compatibility notes =================== +The ``NpzFile`` returned by ``np.savez`` is now a `collections.abc.Mapping` +--------------------------------------------------------------------------- +This means it behaves like a readonly dictionary, and has a new ``.values()`` +method and ``len()`` implementation. + +On python 3, this means that ``.iteritems()``, ``.iterkeys()`` have been +deprecated, and ``.keys()`` and ``.items()`` now return views and not lists. +This is consistent with how the builtin ``dict`` type changed between python 2 +and python 3. + Under certain conditions, nditer must be used in a context manager ------------------------------------------------------------------ When using an nditer with the ``"writeonly"`` or ``"readwrite"`` flags, there @@ -153,6 +163,12 @@ C API changes checked before the operation whose status we wanted to check was run. See `#10339 <https://github.com/numpy/numpy/issues/10370>`__. +* ``PyArray_GetDTypeTransferFunction`` now defaults to using user-defined + ``copyswapn`` / ``copyswap`` for user-defined dtypes. If this causes a + significant performance hit, consider implementing ``copyswapn`` to reflect + the implementation of ``PyArray_GetStridedCopyFn``. + See `#10898 <https://github.com/numpy/numpy/pull/10898>`__. + New Features ============ @@ -369,5 +385,22 @@ inner-product example, ``keepdims=True, axes=[-2, -2, -2]`` would act on the one-but-last dimension of the input arguments, and leave a size 1 dimension in that place in the output. +New ``np.take_along_axis`` and ``np.put_along_axis`` functions +-------------------------------------------------------------- +When used on multidimensional arrays, ``argsort``, ``argmin``, ``argmax``, and +``argpartition`` return arrays that are difficult to use as indices. +``take_along_axis`` provides an easy way to use these indices to lookup values +within an array, so that:: + + np.take_along_axis(a, np.argsort(a, axis=axis), axis=axis) + +is the same as:: + + np.sort(a, axis=axis) + +``np.put_along_axis`` acts as the dual operation for writing to these indices +within an array. + + Changes ======= |