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.

Sign up for GitHub

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

Jump to bottom

[Python] Improve performance of appending nested NumPy arrays in builtin_convert.cc #15756

Closed

asfimport opened this issue Jul 23, 2018 · 1 comment

Assignees

Labels

Component: Python Type: enhancement

Milestone

Collaborator

asfimport commented Jul 23, 2018

See discussion and benchmarks in

Reporter: Wes McKinney / @wesm
Assignee: Wes McKinney / @wesm

_{Note: This issue was originally created as ARROW-2900. Please see the migration documentation for further details.}

Collaborator Author

asfimport commented Aug 10, 2018

Wes McKinney / @wesm:
about 8-10x faster after ARROW-2814

$ python -m timeit -s "import numpy as np, pyarrow as pa; data = [np.arange(10000)]" "pa.array(data)"
10000 loops, best of 3: 120 usec per loop

asfimport closed this as completed

asfimport assigned wesm

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment