diff options
| -rw-r--r-- | doc/release/1.6.0-notes.rst | 34 | ||||
| -rw-r--r-- | numpy/add_newdocs.py | 4 |
2 files changed, 32 insertions, 6 deletions
diff --git a/doc/release/1.6.0-notes.rst b/doc/release/1.6.0-notes.rst index deead91ce..e9a217c16 100644 --- a/doc/release/1.6.0-notes.rst +++ b/doc/release/1.6.0-notes.rst @@ -35,7 +35,14 @@ half-float API. New iterator ------------ - +A new iterator has been added, replacing the functionality of the +existing iterator and multi-iterator with a single object and API. +This iterator works well with general memory layouts different from +C or Fortran contiguous, and handles both standard NumPy and +customized broadcasting. The buffering, automatic data type +conversion, and optional output parameters, offered by +ufuncs but difficult to replicate elsewhere, are now exposed by this +iterator. Legendre polynomials in ``numpy.polynomial`` @@ -73,10 +80,15 @@ of an array. ``numpy.einsum`` : Evaluate the Einstein summation convention. Using the Einstein summation convention, many common multi-dimensional array operations can be represented in a simple fashion. This function provides a way compute -such summations. The best way to understand this function is to try the -examples below, which show how many common NumPy functions can be implemented -as calls to ``numpy.einsum``. +such summations. + +``numpy.count_nonzero`` : Counts the number of non-zero elements in an array. +``numpy.result_type`` and ``numpy.min_scalar_type`` : These functions expose +the underlying type promotion used by the ufuncs and other operations to +determine the types of outputs. These improve upon the ``numpy.common_type`` +and ``numpy.mintypecode`` which provide similar functionality but do +not match the ufunc implementation. Changes @@ -104,6 +116,20 @@ a more convenient way to compare floating point arrays than `assert_almost_equal`, `assert_approx_equal` and `assert_array_almost_equal`. +``C API`` +--------- + +In addition to the APIs for the new iterator and half data type, a number +of other additions have been made to the C API. The type promotion +mechanism used by ufuncs is exposed via ``PyArray_PromoteTypes``, +``PyArray_ResultType``, and ``PyArray_MinScalarType``. A new enumeration +``NPY_CASTING`` has been added which controls what types of casts are +permitted. This is used by the new functions ``PyArray_CanCastArrayTo`` +and ``PyArray_CanCastTypeTo``. A more flexible way to handle +conversion of arbitrary python objects into arrays is exposed by +``PyArray_GetArrayParamsFromObject``. + + Removed features ================ diff --git a/numpy/add_newdocs.py b/numpy/add_newdocs.py index 187180c5a..c62fcd186 100644 --- a/numpy/add_newdocs.py +++ b/numpy/add_newdocs.py @@ -1238,8 +1238,8 @@ add_newdoc('numpy.core.multiarray', 'can_cast', Parameters ---------- - fromtype : dtype or dtype specifier - Data type to cast from. + from : dtype, dtype specifier, scalar, or array + Data type, scalar, or array to cast from. totype : dtype or dtype specifier Data type to cast to. casting : casting rule |