Closed
Description
#16413 may have slowed down time_groupby_series_simple_cython
(while speeding up other groupby ops)
$ asv continuous d5a681bfa~1 d5a681bfa -b groupby.groupby_multi.time_groupby_series_simple_cython
· Creating environments
· Discovering benchmarks
·· Uninstalling from conda-py3.6-Cython-matplotlib-numexpr-numpy-openpyxl-pytables-pytest-scipy-sqlalchemy-xlrd-xlsxwriter-xlwt
·· Installing into conda-py3.6-Cython-matplotlib-numexpr-numpy-openpyxl-pytables-pytest-scipy-sqlalchemy-xlrd-xlsxwriter-xlwt..
· Running 2 total benchmarks (2 commits * 1 environments * 1 benchmarks)
[ 0.00%] · For pandas commit hash d5a681bf:
[ 0.00%] ·· Building for conda-py3.6-Cython-matplotlib-numexpr-numpy-openpyxl-pytables-pytest-scipy-sqlalchemy-xlrd-xlsxwriter-xlwt..........................................................................................
[ 0.00%] ·· Benchmarking conda-py3.6-Cython-matplotlib-numexpr-numpy-openpyxl-pytables-pytest-scipy-sqlalchemy-xlrd-xlsxwriter-xlwt
[ 50.00%] ··· Running groupby.groupby_multi.time_groupby_series_simple_cython 5.04±0.09ms
[ 50.00%] · For pandas commit hash 5fe042f5:
[ 50.00%] ·· Building for conda-py3.6-Cython-matplotlib-numexpr-numpy-openpyxl-pytables-pytest-scipy-sqlalchemy-xlrd-xlsxwriter-xlwt..........................................................................................
[ 50.00%] ·· Benchmarking conda-py3.6-Cython-matplotlib-numexpr-numpy-openpyxl-pytables-pytest-scipy-sqlalchemy-xlrd-xlsxwriter-xlwt
[100.00%] ··· Running groupby.groupby_multi.time_groupby_series_simple_cython 3.79±0.09ms
before after ratio
[5fe042f5] [d5a681bf]
+ 3.79±0.09ms 5.04±0.09ms 1.33 groupby.groupby_multi.time_groupby_series_simple_cython
SOME BENCHMARKS HAVE CHANGED SIGNIFICANTLY.