Skip to content

PERF: Improve performance of hash sets in read_csv #25804

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

Merged
merged 11 commits into from
Mar 22, 2019
Prev Previous commit
Added whatsnew entry
  • Loading branch information
vnlitvinov committed Mar 20, 2019
commit 2ceb8501723bd0e96e2bb2fac543cae8c85553df
1 change: 1 addition & 0 deletions doc/source/whatsnew/v0.25.0.rst
Original file line number Diff line number Diff line change
Expand Up @@ -176,6 +176,7 @@ Performance Improvements
int8/int16/int32 and the searched key is within the integer bounds for the dtype (:issue:`22034`)
- Improved performance of :meth:`pandas.core.groupby.GroupBy.quantile` (:issue:`20405`)
- Improved performance of :meth:`read_csv` by faster tokenizing and faster parsing of small float numbers (:issue:`25784`)
- Improved performance of :meth:`read_csv` by faster parsing of N/A and boolean values (:issue:`25804`)

.. _whatsnew_0250.bug_fixes:

Expand Down