diff options
| -rw-r--r-- | doc/release/1.3.0-notes.rst | 5 | ||||
| -rw-r--r-- | doc/release/1.4.0-notes.rst | 3 | ||||
| -rw-r--r-- | doc/release/1.5.0-notes.rst | 25 | ||||
| -rw-r--r-- | doc/release/1.6.0-notes.rst | 31 | ||||
| -rw-r--r-- | doc/release/1.6.1-notes.rst | 8 | ||||
| -rw-r--r-- | doc/release/1.6.2-notes.rst | 76 | ||||
| -rw-r--r-- | doc/release/1.7.0-notes.rst | 33 | ||||
| -rw-r--r-- | doc/release/1.8.0-notes.rst | 25 |
8 files changed, 101 insertions, 105 deletions
diff --git a/doc/release/1.3.0-notes.rst b/doc/release/1.3.0-notes.rst index fc7edddfe..73743bbcf 100644 --- a/doc/release/1.3.0-notes.rst +++ b/doc/release/1.3.0-notes.rst @@ -1,6 +1,5 @@ -========================= NumPy 1.3.0 Release Notes -========================= +************************* This minor includes numerous bug fixes, official python 2.6 support, and several new features such as generalized ufuncs. @@ -180,7 +179,7 @@ The following functions have been added to the multiarray C API: * PyArray_GetEndianness: to get runtime endianness Ufunc API -~~~~~~~~~~~~~~ +~~~~~~~~~ The following functions have been added to the ufunc API: diff --git a/doc/release/1.4.0-notes.rst b/doc/release/1.4.0-notes.rst index 5429f8e76..9e3819229 100644 --- a/doc/release/1.4.0-notes.rst +++ b/doc/release/1.4.0-notes.rst @@ -1,6 +1,5 @@ -========================= NumPy 1.4.0 Release Notes -========================= +************************* This minor includes numerous bug fixes, as well as a few new features. It is backward compatible with 1.3.0 release. diff --git a/doc/release/1.5.0-notes.rst b/doc/release/1.5.0-notes.rst index 94cf89ff7..e9e36f0de 100644 --- a/doc/release/1.5.0-notes.rst +++ b/doc/release/1.5.0-notes.rst @@ -1,18 +1,17 @@ -========================= NumPy 1.5.0 Release Notes -========================= +************************* Highlights ========== Python 3 compatibility ----------------------- +~~~~~~~~~~~~~~~~~~~~~~ This is the first NumPy release which is compatible with Python 3. Support for Python 3 and Python 2 is done from a single code base. Extensive notes on changes can be found at -`<http://projects.scipy.org/numpy/browser/trunk/doc/Py3K.txt>`_. +`<http://projects.scipy.org/numpy/browser/trunk/doc/Py3K.txt>`_. Note that the Numpy testing framework relies on nose, which does not have a Python 3 compatible release yet. A working Python 3 branch of nose can be found @@ -21,7 +20,7 @@ at `<http://bitbucket.org/jpellerin/nose3/>`_ however. Porting of SciPy to Python 3 is expected to be completed soon. :pep:`3118` compatibility -------------------------- +~~~~~~~~~~~~~~~~~~~~~~~~~ The new buffer protocol described by PEP 3118 is fully supported in this version of Numpy. On Python versions >= 2.6 Numpy arrays expose the buffer @@ -33,7 +32,7 @@ New features ============ Warning on casting complex to real ----------------------------------- +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Numpy now emits a `numpy.ComplexWarning` when a complex number is cast into a real number. For example: @@ -50,7 +49,7 @@ turned off in the standard way: >>> warnings.simplefilter("ignore", np.ComplexWarning) Dot method for ndarrays ------------------------ +~~~~~~~~~~~~~~~~~~~~~~~ Ndarrays now have the dot product also as a method, which allows writing chains of matrix products as @@ -62,7 +61,7 @@ instead of the longer alternative >>> np.dot(a, np.dot(b, c)) linalg.slogdet function ------------------------ +~~~~~~~~~~~~~~~~~~~~~~~ The slogdet function returns the sign and logarithm of the determinant of a matrix. Because the determinant may involve the product of many @@ -70,7 +69,7 @@ small/large values, the result is often more accurate than that obtained by simple multiplication. new header ----------- +~~~~~~~~~~ The new header file ndarraytypes.h contains the symbols from ndarrayobject.h that do not depend on the PY_ARRAY_UNIQUE_SYMBOL and @@ -85,7 +84,7 @@ Changes ======= polynomial.polynomial ---------------------- +~~~~~~~~~~~~~~~~~~~~~ * The polyint and polyder functions now check that the specified number integrations or derivations is a non-negative integer. The number 0 is @@ -101,7 +100,7 @@ polynomial.polynomial * The polymulx function was added. polynomial.chebyshev --------------------- +~~~~~~~~~~~~~~~~~~~~ * The chebint and chebder functions now check that the specified number integrations or derivations is a non-negative integer. The number 0 is @@ -119,13 +118,13 @@ polynomial.chebyshev histogram ---------- +~~~~~~~~~ After a two years transition period, the old behavior of the histogram function has been phased out, and the "new" keyword has been removed. correlate ---------- +~~~~~~~~~ The old behavior of correlate was deprecated in 1.4.0, the new behavior (the usual definition for cross-correlation) is now the default. diff --git a/doc/release/1.6.0-notes.rst b/doc/release/1.6.0-notes.rst index c5f53a0eb..e2c71e35c 100644 --- a/doc/release/1.6.0-notes.rst +++ b/doc/release/1.6.0-notes.rst @@ -1,6 +1,5 @@ -========================= NumPy 1.6.0 Release Notes -========================= +************************* This release includes several new features as well as numerous bug fixes and improved documentation. It is backward compatible with the 1.5.0 release, and @@ -21,7 +20,7 @@ New features ============ New 16-bit floating point type ------------------------------- +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ This release adds support for the IEEE 754-2008 binary16 format, available as the data type ``numpy.half``. Within Python, the type behaves similarly to @@ -30,7 +29,7 @@ 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. @@ -43,7 +42,7 @@ iterator. Legendre, Laguerre, Hermite, HermiteE polynomials in ``numpy.polynomial`` -------------------------------------------------------------------------- +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Extend the number of polynomials available in the polynomial package. In addition, a new ``window`` attribute has been added to the classes in @@ -54,7 +53,7 @@ of values without playing unnatural tricks with the domain. Fortran assumed shape array and size function support in ``numpy.f2py`` ------------------------------------------------------------------------ +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ F2py now supports wrapping Fortran 90 routines that use assumed shape arrays. Before such routines could be called from Python but the @@ -68,7 +67,7 @@ that use two argument ``size`` function in dimension specifications. Other new functions -------------------- +~~~~~~~~~~~~~~~~~~~ ``numpy.ravel_multi_index`` : Converts a multi-index tuple into an array of flat indices, applying boundary modes to the indices. @@ -91,14 +90,14 @@ Changes ======= ``default error handling`` --------------------------- +~~~~~~~~~~~~~~~~~~~~~~~~~~ The default error handling has been change from ``print`` to ``warn`` for all except for ``underflow``, which remains as ``ignore``. ``numpy.distutils`` -------------------- +~~~~~~~~~~~~~~~~~~~ Several new compilers are supported for building Numpy: the Portland Group Fortran compiler on OS X, the PathScale compiler suite and the 64-bit Intel C @@ -106,7 +105,7 @@ compiler on Linux. ``numpy.testing`` ------------------ +~~~~~~~~~~~~~~~~~ The testing framework gained ``numpy.testing.assert_allclose``, which provides a more convenient way to compare floating point arrays than @@ -114,7 +113,7 @@ a more convenient way to compare floating point arrays than ``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 @@ -138,7 +137,7 @@ Removed features ================ ``numpy.fft`` -------------- +~~~~~~~~~~~~~ The functions `refft`, `refft2`, `refftn`, `irefft`, `irefft2`, `irefftn`, which were aliases for the same functions without the 'e' in the name, were @@ -146,21 +145,21 @@ removed. ``numpy.memmap`` ----------------- +~~~~~~~~~~~~~~~~ The `sync()` and `close()` methods of memmap were removed. Use `flush()` and "del memmap" instead. ``numpy.lib`` -------------- +~~~~~~~~~~~~~ The deprecated functions ``numpy.unique1d``, ``numpy.setmember1d``, ``numpy.intersect1d_nu`` and ``numpy.lib.ufunclike.log2`` were removed. ``numpy.ma`` ------------- +~~~~~~~~~~~~ Several deprecated items were removed from the ``numpy.ma`` module:: @@ -171,7 +170,7 @@ Several deprecated items were removed from the ``numpy.ma`` module:: ``numpy.distutils`` -------------------- +~~~~~~~~~~~~~~~~~~~ The ``numpy.get_numpy_include`` function was removed, use ``numpy.get_include`` instead. diff --git a/doc/release/1.6.1-notes.rst b/doc/release/1.6.1-notes.rst index 5f59cb743..2f1aa6b04 100644 --- a/doc/release/1.6.1-notes.rst +++ b/doc/release/1.6.1-notes.rst @@ -1,12 +1,11 @@ -========================= NumPy 1.6.1 Release Notes -========================= +************************* This is a bugfix only release in the 1.6.x series. -Issues fixed ------------- +Issues Fixed +============ #1834 einsum fails for specific shapes #1837 einsum throws nan or freezes python for specific array shapes @@ -19,4 +18,3 @@ Issues fixed #1874 f2py: fix --include_paths bug #1749 Fix ctypes.load_library() #1895/1896 iter: writeonly operands weren't always being buffered correctly - diff --git a/doc/release/1.6.2-notes.rst b/doc/release/1.6.2-notes.rst index 7b62e6c93..1222fc39c 100644 --- a/doc/release/1.6.2-notes.rst +++ b/doc/release/1.6.2-notes.rst @@ -1,14 +1,15 @@ -========================= NumPy 1.6.2 Release Notes -========================= +************************* This is a bugfix release in the 1.6.x series. Due to the delay of the NumPy 1.7.0 release, this release contains far more fixes than a regular NumPy bugfix release. It also includes a number of documentation and build improvements. +Issues fixed +============ -``numpy.core`` issues fixed ---------------------------- +``numpy.core`` +~~~~~~~~~~~~~~ #2063 make unique() return consistent index #1138 allow creating arrays from empty buffers or empty slices @@ -29,8 +30,8 @@ release. It also includes a number of documentation and build improvements. #2073 fix float16 __array_interface__ bug -``numpy.lib`` issues fixed --------------------------- +``numpy.lib`` +~~~~~~~~~~~~~ #2048 break reference cycle in NpzFile #1573 savetxt() now handles complex arrays @@ -42,33 +43,8 @@ release. It also includes a number of documentation and build improvements. #1918 use Py_TYPE to access ob_type, so it works also on Py3 -``numpy.f2py`` changes ----------------------- - -ENH: Introduce new options extra_f77_compiler_args and extra_f90_compiler_args -BLD: Improve reporting of fcompiler value -BUG: Fix f2py test_kind.py test - - -``numpy.poly`` changes ----------------------- - -ENH: Add some tests for polynomial printing -ENH: Add companion matrix functions -DOC: Rearrange the polynomial documents -BUG: Fix up links to classes -DOC: Add version added to some of the polynomial package modules -DOC: Document xxxfit functions in the polynomial package modules -BUG: The polynomial convenience classes let different types interact -DOC: Document the use of the polynomial convenience classes -DOC: Improve numpy reference documentation of polynomial classes -ENH: Improve the computation of polynomials from roots -STY: Code cleanup in polynomial [*]fromroots functions -DOC: Remove references to cast and NA, which were added in 1.7 - - -``numpy.distutils`` issues fixed -------------------------------- +``numpy.distutils`` +~~~~~~~~~~~~~~~~~~~ #1261 change compile flag on AIX from -O5 to -O3 #1377 update HP compiler flags @@ -78,13 +54,39 @@ BLD: raise a clearer warning in case of building without cleaning up first BLD: follow build_ext coding convention in build_clib BLD: fix up detection of Intel CPU on OS X in system_info.py BLD: add support for the new X11 directory structure on Ubuntu & co. -BLD: add ufsparse to the libraries search path. -BLD: add 'pgfortran' as a valid compiler in the Portland Group +BLD: add ufsparse to the libraries search path. +BLD: add 'pgfortran' as a valid compiler in the Portland Group BLD: update version match regexp for IBM AIX Fortran compilers. -``numpy.random`` issues fixed ------------------------------ +``numpy.random`` +~~~~~~~~~~~~~~~~ BUG: Use npy_intp instead of long in mtrand +Changes +======= + +``numpy.f2py`` +~~~~~~~~~~~~~~ + +ENH: Introduce new options extra_f77_compiler_args and extra_f90_compiler_args +BLD: Improve reporting of fcompiler value +BUG: Fix f2py test_kind.py test + + +``numpy.poly`` +~~~~~~~~~~~~~~ + +ENH: Add some tests for polynomial printing +ENH: Add companion matrix functions +DOC: Rearrange the polynomial documents +BUG: Fix up links to classes +DOC: Add version added to some of the polynomial package modules +DOC: Document xxxfit functions in the polynomial package modules +BUG: The polynomial convenience classes let different types interact +DOC: Document the use of the polynomial convenience classes +DOC: Improve numpy reference documentation of polynomial classes +ENH: Improve the computation of polynomials from roots +STY: Code cleanup in polynomial [*]fromroots functions +DOC: Remove references to cast and NA, which were added in 1.7 diff --git a/doc/release/1.7.0-notes.rst b/doc/release/1.7.0-notes.rst index 26b098b16..754e282b0 100644 --- a/doc/release/1.7.0-notes.rst +++ b/doc/release/1.7.0-notes.rst @@ -1,6 +1,5 @@ -========================= NumPy 1.7.0 Release Notes -========================= +************************* This release includes several new features as well as numerous bug fixes and refactorings. It supports Python 2.4 - 2.7 and 3.1 - 3.3 and is the last @@ -67,7 +66,7 @@ New features ============ Reduction UFuncs Generalize axis= Parameter -------------------------------------------- +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Any ufunc.reduce function call, as well as other reductions like sum, prod, any, all, max and min support the ability to choose a subset of the axes to @@ -76,7 +75,7 @@ axis=# to pick a single axis. Now, one can also say axis=(#,#) to pick a list of axes for reduction. Reduction UFuncs New keepdims= Parameter ----------------------------------------- +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ There is a new keepdims= parameter, which if set to True, doesn't throw away the reduction axes but instead sets them to have size one. When this @@ -84,7 +83,7 @@ option is set, the reduction result will broadcast correctly to the original operand which was reduced. Datetime support ----------------- +~~~~~~~~~~~~~~~~ .. note:: The datetime API is *experimental* in 1.7.0, and may undergo changes in future versions of NumPy. @@ -105,26 +104,26 @@ The notes in `doc/source/reference/arrays.datetime.rst <https://github.com/numpy consulted for more details. Custom formatter for printing arrays ------------------------------------- +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ See the new ``formatter`` parameter of the ``numpy.set_printoptions`` function. New function numpy.random.choice ---------------------------------- +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ A generic sampling function has been added which will generate samples from a given array-like. The samples can be with or without replacement, and with uniform or given non-uniform probabilities. New function isclose --------------------- +~~~~~~~~~~~~~~~~~~~~ Returns a boolean array where two arrays are element-wise equal within a tolerance. Both relative and absolute tolerance can be specified. Preliminary multi-dimensional support in the polynomial package ---------------------------------------------------------------- +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Axis keywords have been added to the integration and differentiation functions and a tensor keyword was added to the evaluation functions. @@ -135,7 +134,7 @@ pseudo-Vandermonde matrices that can be used for fitting. Ability to pad rank-n arrays ----------------------------- +~~~~~~~~~~~~~~~~~~~~~~~~~~~~ A pad module containing functions for padding n-dimensional arrays has been added. The various private padding functions are exposed as options to a @@ -149,18 +148,18 @@ Current modes are ``constant``, ``edge``, ``linear_ramp``, ``maximum``, New argument to searchsorted ----------------------------- +~~~~~~~~~~~~~~~~~~~~~~~~~~~~ The function searchsorted now accepts a 'sorter' argument that is a permutation array that sorts the array to search. Build system ------------- +~~~~~~~~~~~~ Added experimental support for the AArch64 architecture. C API ------ +~~~~~ New function ``PyArray_RequireWriteable`` provides a consistent interface for checking array writeability -- any C code which works with arrays whose @@ -173,7 +172,7 @@ Changes ======= General -------- +~~~~~~~ The function np.concatenate tries to match the layout of its input arrays. Previously, the layout did not follow any particular reason, and depended @@ -214,7 +213,7 @@ and so the collapsing process only continues so long as it encounters other ``b`` is the last entry in that list which is a ``matrix`` object. Casting Rules -------------- +~~~~~~~~~~~~~ Casting rules have undergone some changes in corner cases, due to the NA-related work. In particular for combinations of scalar+scalar: @@ -256,7 +255,7 @@ Deprecations ============ General -------- +~~~~~~~ Specifying a custom string formatter with a `_format` array attribute is deprecated. The new `formatter` keyword in ``numpy.set_printoptions`` or @@ -269,7 +268,7 @@ Versions of numpy < 1.7.0 ignored axis argument value for 1D arrays. We allow this for now, but in due course we will raise an error. C-API ------ +~~~~~ Direct access to the fields of PyArrayObject* has been deprecated. Direct access has been recommended against for many releases. Expect similar diff --git a/doc/release/1.8.0-notes.rst b/doc/release/1.8.0-notes.rst index 660881464..62dea6af8 100644 --- a/doc/release/1.8.0-notes.rst +++ b/doc/release/1.8.0-notes.rst @@ -1,6 +1,5 @@ -========================= NumPy 1.8.0 Release Notes -========================= +************************* This release supports Python 2.6 -2.7 and 3.2 - 3.3. @@ -44,15 +43,15 @@ usage is deprecated. This does not effect the ``NpyIter_New`` or ``NpyIter_MultiNew`` functions. -New features +New Features ============ -new constant ------------- +New constant +~~~~~~~~~~~~ Euler's constant is now exposed in numpy as euler_gamma. -new modes for qr ----------------- +New modes for qr +~~~~~~~~~~~~~~~~ New modes 'complete', 'reduced', and 'raw' have been added to the qr factorization and the old 'full' and 'economic' modes are deprecated. The 'reduced' mode replaces the old 'full' mode and is the default as was @@ -68,17 +67,22 @@ deprecated, there isn't much use for it and it isn't any more efficient than the 'raw' mode. +C-API +~~~~~ + Changes ======= General -------- +~~~~~~~ The function np.take now allows 0-d arrays as indices. The separate compilation mode is now enabled by default. +C-API +~~~~~ Deprecations ============ @@ -86,11 +90,8 @@ Deprecations The 'full' and 'economic' modes of qr factorization are deprecated. General -------- +~~~~~~~ Use of non-integer indices has been deprecated. Previously float indices were truncated to integers without warning. -C-API ------ - |