Skip to content
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

PERF: change Series indexing on multi-indexes to use a fast path (GH5567) #6364

Merged
merged 1 commit into from
Feb 16, 2014

Conversation

jreback
Copy link
Contributor

@jreback jreback commented Feb 16, 2014

closes #5567

In [1]: mi = MultiIndex.from_tuples([(x,y) for x in range(1000) for y in range(1000)])

In [2]: s =  Series(np.random.randn(1000000), index=mi)

In [5]: %time x=s.ix[999]
CPU times: user 4 ms, sys: 0 ns, total: 4 ms
Wall time: 3.74 ms

In [6]: mi = MultiIndex.from_tuples([(x,y) for x in range(1000) for y in range(1000)])

In [7]: s =  Series(np.random.randn(1000000), index=mi)

In [8]: df = DataFrame(s)

In [9]: %time x=df.ix[999]
CPU times: user 4 ms, sys: 0 ns, total: 4 ms
Wall time: 4.7 ms

@jreback jreback added this to the 0.14.0 milestone Feb 16, 2014
jreback added a commit that referenced this pull request Feb 16, 2014
PERF: change Series indexing on multi-indexes to use a fast path (GH5567)
@jreback jreback merged commit 3a78f7f into pandas-dev:master Feb 16, 2014
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
Indexing Related to indexing on series/frames, not to indexes themselves MultiIndex Performance Memory or execution speed performance
Projects
None yet
Development

Successfully merging this pull request may close these issues.

PERF: .ix performance on series
1 participant