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TEST-#2690: add astype benchmark #2691

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merged 3 commits into from
Feb 10, 2021
Merged

TEST-#2690: add astype benchmark #2691

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ec0b4c1
TEST-#2690: add astype benchmark
anmyachev Feb 4, 2021
cd493f5
TEST-#2690: add category dtype; use df.types
anmyachev Feb 8, 2021
ec686bc
TEST-#2690: add case with one column
anmyachev Feb 9, 2021
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23 changes: 22 additions & 1 deletion asv_bench/benchmarks/benchmarks.py
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Original file line number Diff line number Diff line change
Expand Up @@ -92,7 +92,7 @@

def execute(df):
"Make sure the calculations are done."
return df.shape
return df.shape, df.dtypes


class BaseTimeGroupBy:
Expand Down Expand Up @@ -487,3 +487,24 @@ def setup(self, shape, bins):

def time_value_counts(self, shape, bins):
execute(self.df.value_counts(bins=bins))


class TimeAstype:
param_names = ["shape", "dtype", "astype_ncolumns"]
params = [
UNARY_OP_DATA_SIZE[ASV_DATASET_SIZE],
["float64", "category"],
["one", "all"],
]

def setup(self, shape, dtype, astype_ncolumns):
self.df = generate_dataframe(ASV_USE_IMPL, "int", *shape, RAND_LOW, RAND_HIGH)
if astype_ncolumns == "all":
self.astype_arg = dtype
elif astype_ncolumns == "one":
self.astype_arg = {"col1": dtype}
else:
raise ValueError("astype_ncolumns: {astype_ncolumns} isn't supported")

def time_astype(self, shape, dtype, astype_ncolumns):
execute(self.df.astype(self.astype_arg))