Skip to content

HTTPS clone URL

Subversion checkout URL

You can clone with HTTPS or Subversion.

Download ZIP
Commits on Jun 5, 2011
Commits on Jun 4, 2011
  1. Bump version to 0.5.0beta.

    authored
  2. Add David's move_median.c code and comment cleanup.

    authored
    Copied from roly package.
  3. Edit move_median docstring.

    authored
Commits on Jun 3, 2011
  1. First commit of move_median(). One unit test failure.

    authored
    Unit test failure is on the cython side when window=1.
    float64 dtype is returned even when input is float32.
Commits on May 31, 2011
  1. Update docs.

    authored
Commits on May 30, 2011
  1. Update release notes.

    authored
  2. Update release notes.

    authored
  3. Make single source distribution.

    authored
    Make single source distribution instead of
    separate 32 and 64 bit versions. Closes #16.
Commits on May 24, 2011
Commits on May 5, 2011
Commits on May 4, 2011
Commits on Apr 30, 2011
  1. Merge branch 'partsort'

    authored
Commits on Apr 29, 2011
  1. Add argpartsort() function.

    authored
Commits on Apr 25, 2011
  1. Add partsort() function.

    authored
Commits on Apr 16, 2011
  1. Add new function ss(), sum of squares.

    authored
    Faster version of scipy.stats.ss
Commits on Apr 13, 2011
Commits on Mar 17, 2011
  1. Add scipy.stats.rankdata to bottleneck to avoid dependency:

    authored
    This functon is only used in the slow version of rankdata:
    bn.slow.rankdata() and bn.slow.nanrankdata().
Commits on Mar 13, 2011
Commits on Mar 12, 2011
  1. Merge branch 'medianbugs'

    authored
Commits on Mar 11, 2011
  1. New unit tests to demonstrate median and nanmedian bugs.

    authored
    Bug fix will come in a separate commit so that unit
    test failures produced by this commit will demonstrate
    the bugs.
Commits on Mar 8, 2011
  1. Bug fix release 0.4.1. Closes #9.

    authored
    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.
Something went wrong with that request. Please try again.