Potential regression induced by "CLN: Enforce deprecation of argmin/max and idxmin/max with NA values" #58013
Labels
Benchmark
Performance (ASV) benchmarks
Missing-data
np.nan, pd.NaT, pd.NA, dropna, isnull, interpolate
Performance
Memory or execution speed performance
Reduction Operations
sum, mean, min, max, etc.
Regression
Functionality that used to work in a prior pandas version
PR #57971
If it is expected please ignore this issue.
"
series_methods.NanOps.time_func
(Python) with N=1000, dtype='int64', func='argmax'": "http://57.128.112.95:5000/compare/benchmarks/0660238e608270fe8000d90917fab443...066023bb74387b2880001e8c3a13bc9a","
series_methods.NanOps.time_func
(Python) with N=1000, dtype='int32', func='argmax'": "http://57.128.112.95:5000/compare/benchmarks/0660238e5f92703b8000518426c1e358...066023bb739a770480009c84952aeeef","
series_methods.NanOps.time_func
(Python) with N=1000, dtype='float64', func='argmax'": "http://57.128.112.95:5000/compare/benchmarks/0660238e6123788c800045f9fafc0110...066023bb74d0713e8000b7a515b8b450","
series_methods.NanOps.time_func
(Python) with N=1000000, dtype='float64', func='argmax'": "http://57.128.112.95:5000/compare/benchmarks/0660238e642e791e80009e362f432db3...066023bb77a3764180003374cf6f549e","
series_methods.NanOps.time_func
(Python) with N=1000000, dtype='int32', func='argmax'": "http://57.128.112.95:5000/compare/benchmarks/0660238e62897b5a8000f233376be753...066023bb7642748e800066e39b4e1ef1","
series_methods.NanOps.time_func
(Python) with N=1000000, dtype='int8', func='argmax'": "http://57.128.112.95:5000/compare/benchmarks/0660238e61dd7d9d80001bbda6f52684...066023bb759c744480000ea47833c954","
series_methods.NanOps.time_func
(Python) with N=1000, dtype='int8', func='argmax'": "http://57.128.112.95:5000/compare/benchmarks/0660238e5ee8721780008aed6e250c64...066023bb72f377158000ee04eb8137ee"@rhshadrach
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