Skip to content

Latest commit

 

History

History
191 lines (122 loc) · 4.46 KB

RELEASE.rst

File metadata and controls

191 lines (122 loc) · 4.46 KB
Raw

Release Notes

These are the major changes made in each release. For details of the changes see the commit log at http://github.com/kwgoodman/bottleneck

Bottleneck 0.5.0

Release date: Not yet released, in development

The fifth release of bottleneck adds four new functions, comes in a single source distribution instead of separate 32 and 64 bit versions, and fixes a bug in nanmedian.

Changes relative to bottleneck 0.4.3:

New functions

  • move_median(), moving window median
  • partsort(), partial sort
  • argpartsort()
  • ss(), sum of squares, faster version of scipy.stats.ss

Changes

  • Single source distribution instead of separate 32 and 64 bit versions
  • nanmax and nanmin now follow Numpy 1.6 (not 1.5.1) when input is all NaN

Bug fixes

  • #14 Support python 2.5 by importing with statement
  • #22 nanmedian wrong for particular ordering of NaN and non-NaN elements

Older versions

Release notes from past releases.

Bottleneck 0.4.3

Release date: 2011-03-17

This is a bug fix release.

Bug fixes

  • #11 median and nanmedian modified (partial sort) input array
  • #12 nanmedian wrong when odd number of elements with all but last a NaN

Enhancement

  • Lazy import of SciPy (rarely used) speeds Bottleneck import 3x

Bottleneck 0.4.2

Release date: 2011-03-08

This is a bug fix release.

Same bug fixed in Bottleneck 0.4.1 for nanstd() was fixed for nanvar() in this release. Thanks again to Christoph Gohlke for finding the bug.

Bottleneck 0.4.1

Release date: 2011-03-08

This is a bug fix release.

The low-level functions nanstd_3d_int32_axis1 and nanstd_3d_int64_axis1, called by bottleneck.nanstd(), wrote beyond the memory owned by the output array if arr.shape[1] == 0 and arr.shape[0] > arr.shape[2], where arr is the input array.

Thanks to Christoph Gohlke for finding an example to demonstrate the bug.

Bottleneck 0.4.0

Release date: 2011-03-08

The fourth release of Bottleneck contains new functions and bug fixes. Separate source code distributions are now made for 32 bit and 64 bit operating systems.

New functions

  • rankdata()
  • nanrankdata()

Enhancements

  • Optionally specify the shapes of the arrays used in benchmark
  • Can specify which input arrays to fill with one-third NaNs in benchmark

Breaks from 0.3.0

  • Removed group_nanmean() function
  • Bump dependency from NumPy 1.4.1 to NumPy 1.5.1
  • C files are now generated with Cython 0.14.1 instead of 0.13

Bug fixes

  • #6 Some functions gave wrong output dtype for some input dtypes on 32 bit OS
  • #7 Some functions choked on size zero input arrays
  • #8 Segmentation fault with Cython 0.14.1 (but not 0.13)

Bottleneck 0.3.0

Release date: 2010-01-19

The third release of Bottleneck is twice as fast for small input arrays and contains 10 new functions.

Faster

  • All functions are faster (less overhead in selector functions)

New functions

  • nansum()
  • move_sum()
  • move_nansum()
  • move_mean()
  • move_std()
  • move_nanstd()
  • move_min()
  • move_nanmin()
  • move_max()
  • move_nanmax()

Enhancements

  • You can now specify the dtype and axis to use in the benchmark timings
  • Improved documentation and more unit tests

Breaks from 0.2.0

  • Moving window functions now default to axis=-1 instead of axis=0
  • Low-level moving window selector functions no longer take window as input

Bug fix

  • int input array resulted in call to slow, non-cython version of move_nanmean

Bottleneck 0.2.0

Release date: 2010-12-27

The second release of Bottleneck is faster, contains more functions, and supports more dtypes.

Faster

  • All functions faster (less overhead) when output is not a scalar

Faster

  • All functions faster (less overhead) when output is not a scalar

Faster

  • All functions faster (less overhead) when output is not a scalar

Faster

  • All functions faster (less overhead) when output is not a scalar
  • Faster nanmean() for 2d, 3d arrays containing NaNs when axis is not None

New functions

  • nanargmin()
  • nanargmax()
  • nanmedian()

Enhancements

  • Added support for float32
  • Fallback to slower, non-Cython functions for unaccelerated ndim/dtype
  • Scipy is no longer a dependency
  • Added support for older versions of NumPy (1.4.1)
  • All functions are now templated for dtype and axis
  • Added a sandbox for prototyping of new Bottleneck functions
  • Rewrote benchmarking code