Commit 7863029c3084c79b226c0a1c3daeac82929534f1

[github-actions]

Commit Range

Subsequent benchmarks may have skipped some commits. The link above lists the commits that are between the two benchmark runs where the regression was identified.

• algos.isin.IsInFloat64.time_isin
  • dtype='Float64', title='few_different_values' - 21.521% (979.981us)
• algos.isin.IsInFloat64.time_isin
  • dtype='Float64', title='only_nans_values' - 13.377% (603.493us)
• algos.isin.IsInFloat64.time_isin
  • dtype=<class 'numpy.float64'>, title='few_different_values' - 21.555% (978.440us)
• algos.isin.IsInFloat64.time_isin
  • dtype=<class 'numpy.float64'>, title='only_nans_values' - 15.601% (697.277us)
• algos.isin.IsInLongSeriesLookUpDominates.time_isin
  • dtype='float32', MaxNumber=1000, series_type='monotone_hits' - 7.083% (4.085ms)
• algos.isin.IsInLongSeriesLookUpDominates.time_isin
  • dtype='int32', MaxNumber=1000, series_type='monotone_hits' - 7.340% (2.169ms)
• algos.isin.IsInLongSeriesLookUpDominates.time_isin
  • dtype='int32', MaxNumber=1000, series_type='random_hits' - 8.943% (2.626ms)
• algos.isin.IsInLongSeriesLookUpDominates.time_isin
  • dtype='int32', MaxNumber=1000, series_type='random_misses' - 11.200% (2.601ms)
• algos.isin.IsinWithArange.time_isin
  • dtype=<class 'numpy.uint64'>, M=1000, offset_factor=0 - 12.936% (427.416us)
• algos.isin.IsinWithArange.time_isin
  • dtype=<class 'numpy.uint64'>, M=2000, offset_factor=0 - 9.935% (334.934us)
• algos.isin.IsinWithArange.time_isin
  • dtype=<class 'numpy.uint64'>, M=8000, offset_factor=0 - 7.125% (250.730us)
• arithmetic.ApplyIndex.time_apply_index
  • offset=<SemiMonthEnd: day_of_month=15> - 13.272% (54.135us)
• arithmetic.OffsetArrayArithmetic.time_add_dti_offset
  • offset=<SemiMonthEnd: day_of_month=15> - 12.425% (51.718us)
• arithmetic.OffsetArrayArithmetic.time_add_series_offset
  • offset=<SemiMonthEnd: day_of_month=15> - 11.421% (49.445us)
• frame_methods.SeriesNuniqueWithNan.time_series_nunique_nan - 12.697% (1.279ms)
• index_cached_properties.IndexCache.time_is_monotonic_decreasing
  • index_type='CategoricalIndex' - 22.300% (30.581us)
• index_cached_properties.IndexCache.time_is_monotonic_increasing
  • index_type='CategoricalIndex' - 22.681% (31.035us)
• index_cached_properties.IndexCache.time_is_unique
  • index_type='CategoricalIndex' - 21.888% (30.270us)
• io.csv.ReadCSVEngine.time_read_bytescsv
  • engine='pyarrow' - 22.720% (1.160ms)
• io.csv.ReadCSVEngine.time_read_stringcsv
  • engine='pyarrow' - 20.492% (1.143ms)
• join_merge.MergeAsof.time_on_int32
  • direction='backward', tolerance=5 - 13.171% (718.835us)
• join_merge.MergeAsof.time_on_int32
  • direction='backward', tolerance=None - 12.423% (664.521us)
• join_merge.MergeAsof.time_on_int32
  • direction='forward', tolerance=None - 9.411% (591.721us)
• tslibs.fields.TimeGetTimedeltaField.time_get_timedelta_field_negative_td
  • size=10000, field='microseconds' - 7.181% (9.994us)
• tslibs.period.TimePeriodArrToDT64Arr.time_periodarray_to_dt64arr
  • size=10000, freq=4006 - 9.565% (48.209us)
• tslibs.period.TimePeriodArrToDT64Arr.time_periodarray_to_dt64arr
  • size=1000000, freq=4006 - 9.976% (4.999ms)
• tslibs.period.TimePeriodArrToDT64Arr.time_periodarray_to_dt64arr
  • size=1000000, freq=5000 - 6.163% (3.140ms)
• tslibs.tz_convert.TimeTZConvert.time_tz_localize_to_utc
  • size=10000, tz=tzfile('/usr/share/zoneinfo/Asia/Tokyo') - 16.551% (11.406us)