Skip to content

Sparse speed optimization #205

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Closed
wesm opened this issue Oct 8, 2011 · 0 comments
Closed

Sparse speed optimization #205

wesm opened this issue Oct 8, 2011 · 0 comments
Labels
Milestone

Comments

@wesm
Copy link
Member

wesm commented Oct 8, 2011

Ops in intindex form are much faster than in block form, for some reason

@wesm wesm closed this as completed Oct 9, 2011
yarikoptic added a commit to neurodebian/pandas that referenced this issue Oct 18, 2011
* commit 'v0.4.3': (97 commits)
  Version 0.4.3
  RLS: release notes
  BUG: to_csv test failure on windows python3
  TST: test failure on windows with Series.to_csv
  TST: skip scikits.statsmodels-depending tests if not installed
  BUG: version_info is a tuple in python <= 2.5
  TST: use to_string instead to avoid futurewarning
  BUG: explicit CSV lineterminator='\n' to work around 3.1/3.2 csv module bug on Win32
  TST: is_lexsorted test failure on py3.1/win32
  BUG: work around unicode bug in py3.1 on win32
  TST: skip test on sparse. release notes
  BLD: only import setuptools in py3k as cython command doesn't currently work
  ENH: print 25%-75% quartiles instead of 10%-90% deciles in describe. Address discussion in GH pandas-dev#196
  RLS: update release notes
  Fix bug writing Series to CSV in Python 3.
  Add trove classifiers for Python 3 compatibility.
  Add isnull and notnull methods to Series.
  RLS: update release notes
  BUG: change python access to buffer access
  ENH: SparseSeries binary op speed enhancement in the block case, address GH pandas-dev#205
  ...
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
Projects
None yet
Development

No branches or pull requests

1 participant