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Han Wang
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Original file line number | Diff line number | Diff line change |
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import pandas as pd | ||
import numpy as np | ||
import os | ||
from typing import Tuple | ||
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def generate_dfs(size: int) -> Tuple[pd.DataFrame, pd.DataFrame]: | ||
np.random.seed(0) | ||
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base = pd.DataFrame( | ||
dict( | ||
id=np.arange(0, size), | ||
a=np.random.randint(0, 10, size), | ||
b=np.random.rand(size), | ||
c=np.random.choice(["aaa", "bbb", "ccc"], size), | ||
d=np.random.randint(0, 10, size), | ||
e=np.random.rand(size), | ||
f=np.random.choice(["aaa", "bbb", "ccc"], size), | ||
g=np.random.randint(0, 10, size), | ||
h=np.random.rand(size), | ||
i=np.random.choice(["aaa", "bbb", "ccc"], size), | ||
) | ||
) | ||
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compare = pd.DataFrame( | ||
dict( | ||
id=np.arange(0, size), | ||
d=np.random.randint(0, 10, size), | ||
e=np.random.rand(size), | ||
f=np.random.choice(["aaa", "bbb", "ccc"], size), | ||
g=np.random.randint(0, 10, size), | ||
h=np.random.rand(size), | ||
i=np.random.choice(["aaa", "bbb", "ccc"], size), | ||
j=np.random.randint(0, 10, size), | ||
k=np.random.rand(size), | ||
l=np.random.choice(["aaa", "bbb", "ccc"], size), | ||
) | ||
) | ||
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return base, compare | ||
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def generate_files(size: int, folder: str) -> Tuple[str, str]: | ||
base, compare = generate_dfs(size) | ||
base_file = os.path.join(folder, "base.parquet") | ||
compare_file = os.path.join(folder, "compare.parquet") | ||
base.to_parquet(base_file, index=False) | ||
compare.to_parquet(compare_file, index=False) | ||
return base_file, compare_file |
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from ._utils import generate_dfs | ||
from datacompy import Compare | ||
from datacompy.fsql import compare as fsql_compare | ||
import pytest | ||
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@pytest.fixture(params=[1000, 100000]) | ||
def paired_dfs(benchmark, request): | ||
benchmark.name = "test - %s" % request.param | ||
return generate_dfs(request.param) | ||
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def v1_df_pandas_perf(base, compare): | ||
compare = Compare(base, compare, ["id"]) | ||
return compare.report() | ||
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def v2_df_fsql_perf(base, compare): | ||
res= fsql_compare(base, compare, "id") | ||
return res | ||
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def _test_v1_pandas_perf(benchmark, paired_dfs): | ||
base, compare = paired_dfs | ||
benchmark.pedantic( | ||
v1_df_pandas_perf, | ||
args=(base, compare), | ||
iterations=1, | ||
rounds=10, | ||
warmup_rounds=2, | ||
) | ||
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def test_v2_df_fsql_perf(benchmark, paired_dfs): | ||
base, compare = paired_dfs | ||
benchmark.pedantic( | ||
v2_df_fsql_perf, | ||
args=(base, compare), | ||
iterations=1, | ||
rounds=10, | ||
warmup_rounds=2, | ||
) |