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Numerical Python

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A package for scientific computing with Python

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Home / NumPy / 1.6.2
Name Modified Size InfoDownloads / Week
Parent folder
README.txt 2012年08月15日 4.4 kB
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numpy-1.6.2-py2.7-python.org-macosx10.3.dmg 2012年05月20日 9.3 MB
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numpy-1.6.2-py2.6-python.org-macosx10.3.dmg 2012年05月20日 9.3 MB
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numpy-1.6.2-py2.5-python.org-macosx10.3.dmg 2012年05月20日 9.3 MB
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numpy-1.6.2.zip 2012年05月20日 2.9 MB
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numpy-1.6.2.tar.gz 2012年05月20日 2.6 MB
numpy-1.6.2-win32-superpack-python3.2.exe 2012年05月20日 5.7 MB
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numpy-1.6.2-win32-superpack-python3.1.exe 2012年05月20日 6.2 MB
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numpy-1.6.2-win32-superpack-python2.7.exe 2012年05月20日 5.7 MB
numpy-1.6.2-win32-superpack-python2.6.exe 2012年05月20日 5.9 MB
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numpy-1.6.2-win32-superpack-python2.5.exe 2012年05月20日 6.0 MB
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numpy-1.6.2-py2.7-python.org-macosx10.6.dmg 2012年05月20日 9.3 MB
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userguide.pdf 2012年05月20日 475.5 kB
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reference.pdf 2012年05月20日 7.1 MB
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Totals: 14 Items 79.9 MB 2
=========================
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.
``numpy.core`` issues fixed
---------------------------
#2063 make unique() return consistent index
#1138 allow creating arrays from empty buffers or empty slices
#1446 correct note about correspondence vstack and concatenate
#1149 make argmin() work for datetime
#1672 fix allclose() to work for scalar inf
#1747 make np.median() work for 0-D arrays
#1776 make complex division by zero to yield inf properly
#1675 add scalar support for the format() function
#1905 explicitly check for NaNs in allclose()
#1952 allow floating ddof in std() and var()
#1948 fix regression for indexing chararrays with empty list
#2017 fix type hashing
#2046 deleting array attributes causes segfault
#2033 a**2.0 has incorrect type
#2045 make attribute/iterator_element deletions not segfault
#2021 fix segfault in searchsorted()
#2073 fix float16 __array_interface__ bug
``numpy.lib`` issues fixed
--------------------------
#2048 break reference cycle in NpzFile
#1573 savetxt() now handles complex arrays
#1387 allow bincount() to accept empty arrays
#1899 fixed histogramdd() bug with empty inputs
#1793 fix failing npyio test under py3k
#1936 fix extra nesting for subarray dtypes
#1848 make tril/triu return the same dtype as the original array
#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
-------------------------------
#1261 change compile flag on AIX from -O5 to -O3
#1377 update HP compiler flags
#1383 provide better support for C++ code on HPUX
#1857 fix build for py3k + pip
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: update version match regexp for IBM AIX Fortran compilers.
``numpy.random`` issues fixed
-----------------------------
BUG: Use npy_intp instead of long in mtrand
Checksums
=========
d0e109f787fc1b3144317c167f6a4ccd release/installers/numpy-1.6.2-py2.5-python.org-macosx10.3.dmg
07a0ee5371203650302f12b5b2482404 release/installers/numpy-1.6.2-py2.6-python.org-macosx10.3.dmg
f6af9b293add397515271462a3ddebab release/installers/numpy-1.6.2-py2.7-python.org-macosx10.3.dmg
465a8ad223aeb77c7987c3bc4306a632 release/installers/numpy-1.6.2-py2.7-python.org-macosx10.6.dmg
5238e2a80a62deadc0d5941baec3c639 release/installers/numpy-1.6.2-win32-superpack-python2.5.exe
514148711e8a88475ac4af70a145bc09 release/installers/numpy-1.6.2-win32-superpack-python2.6.exe
b3c9e0d5711ff210f7ea98db583e14ec release/installers/numpy-1.6.2-win32-superpack-python2.7.exe
22f7f43a11c0e539de5f73afe8aeb42a release/installers/numpy-1.6.2-win32-superpack-python3.1.exe
8411ec9102294fc815780d0c0770cac7 release/installers/numpy-1.6.2-win32-superpack-python3.2.exe
95ed6c9dcc94af1fc1642ea2a33c1bba release/installers/numpy-1.6.2.tar.gz
7e13c931985f90efcfa0408f845d6fee release/installers/numpy-1.6.2.zip
Source: README.txt, updated 2012年08月15日
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