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ASV: add FrameMixedDtypesOps #55939

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Merged
merged 5 commits into from
Nov 14, 2023
Merged

ASV: add FrameMixedDtypesOps #55939

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f21c26e
asv FrameMixedDtypesOps
quangngd Nov 13, 2023
0155cc2
fix
quangngd Nov 13, 2023
973dfc5
Update asv_bench/benchmarks/stat_ops.py
quangngd Nov 14, 2023
8ff1930
Update asv_bench/benchmarks/stat_ops.py
quangngd Nov 14, 2023
371286d
minor
quangngd Nov 14, 2023
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33 changes: 33 additions & 0 deletions asv_bench/benchmarks/stat_ops.py
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Original file line number Diff line number Diff line change
Expand Up @@ -20,6 +20,39 @@ def time_op(self, op, dtype, axis):
self.df_func(axis=axis)


class FrameMixedDtypesOps:
params = [ops, [0, 1, None]]
param_names = ["op", "axis"]

def setup(self, op, axis):
if op in ("sum", "skew", "kurt", "prod", "sem", "var") or (
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Could you put this if statement before N and df are created?

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moved.
ci on arm failed on test_dti_constructor_with_non_nano_now_today. seems like a flaky test tho

(op, axis)
in (
("mean", 1),
("mean", None),
("median", 1),
("median", None),
("std", 1),
)
):
# Skipping cases where datetime aggregations are not implemented
raise NotImplementedError

N = 1_000_000
df = pd.DataFrame(
{
"f": np.random.normal(0.0, 1.0, N),
"i": np.random.randint(0, N, N),
"ts": pd.date_range(start="1/1/2000", periods=N, freq="h"),
}
)

self.df_func = getattr(df, op)

def time_op(self, op, axis):
self.df_func(axis=axis)


class FrameMultiIndexOps:
params = [ops]
param_names = ["op"]
Expand Down