Skip to content

Conversation

jreback
Copy link
Contributor

@jreback jreback commented Apr 27, 2014

closes #6899

though seems that cPickle can on a small file/dataset be slower

so waiting for results on #6899 tests

@jreback jreback added this to the 0.14.0 milestone Apr 27, 2014
@jreback
Copy link
Contributor Author

jreback commented Apr 27, 2014

-------------------------------------------------------------------------------
Test name                                    | head[ms] | base[ms] |  ratio   |
-------------------------------------------------------------------------------
packers_read_pickle                          | 446.7856 | 2399.6547 |   0.1862 |
packers_write_pickle                         | 784.3113 | 800.6363 |   0.9796 |
-------------------------------------------------------------------------------
Test name                                    | head[ms] | base[ms] |  ratio   |
-------------------------------------------------------------------------------

Ratio < 1.0 means the target commit is faster then the baseline.
Seed used: 1234

Target [0e90ef4] : PERF: improved performance of compatible pickles (GH6899)
Base   [951f055] : Merge pull request #6986 from jreback/warnings2

COMPAT: remove deprecated optinos from printing in test suite (GH6984)

jreback added a commit that referenced this pull request Apr 27, 2014
PERF: improved performance of compatible pickles (GH6899)
@jreback jreback merged commit 107057d into pandas-dev:master Apr 27, 2014
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
Performance Memory or execution speed performance
Projects
None yet
Development

Successfully merging this pull request may close these issues.

read_pickle much slower in v0.13 (not using cPickle when compat=False)
1 participant