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TST: Parameterize #45163

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Merged
merged 3 commits into from
Jan 3, 2022
Merged

TST: Parameterize #45163

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df2ab2a
TST: Parameterize
mroeschke Jan 2, 2022
e08d931
Merge remote-tracking branch 'upstream/master' into tst/parameterize
mroeschke Jan 2, 2022
3b9b86e
Use pytest.mark.filterwarnings
mroeschke Jan 2, 2022
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64 changes: 24 additions & 40 deletions pandas/tests/computation/test_eval.py
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Original file line number Diff line number Diff line change
Expand Up @@ -875,7 +875,8 @@ def test_medium_complex_frame_alignment(self, engine, parser, r1, c1, r2, c2):
def test_basic_frame_series_alignment(
self, engine, parser, index_name, r_idx_type, c_idx_type
):
def testit(r_idx_type, c_idx_type, index_name):
with warnings.catch_warnings(record=True):
warnings.simplefilter("always", RuntimeWarning)
df = tm.makeCustomDataframe(
10, 10, data_gen_f=f, r_idx_type=r_idx_type, c_idx_type=c_idx_type
)
Expand All @@ -894,48 +895,31 @@ def testit(r_idx_type, c_idx_type, index_name):
expected = df + s
tm.assert_frame_equal(res, expected)

with warnings.catch_warnings(record=True):
warnings.simplefilter("always", RuntimeWarning)

testit(r_idx_type, c_idx_type, index_name)

@pytest.mark.parametrize("index_name", ["index", "columns"])
def test_basic_series_frame_alignment(self, engine, parser, index_name):
def testit(r_idx_type, c_idx_type, index_name):
df = tm.makeCustomDataframe(
10, 7, data_gen_f=f, r_idx_type=r_idx_type, c_idx_type=c_idx_type
)
index = getattr(df, index_name)
s = Series(np.random.randn(5), index[:5])
if should_warn(s.index, df.index):
with tm.assert_produces_warning(RuntimeWarning):
res = pd.eval("s + df", engine=engine, parser=parser)
else:
@pytest.mark.parametrize(
"r_idx_type, c_idx_type",
list(product(["i", "u", "s"], ["i", "u", "s"])) + [("dt", "dt")],
)
@pytest.mark.filterwarnings("ignore::RuntimeWarning")
def test_basic_series_frame_alignment(
self, engine, parser, index_name, r_idx_type, c_idx_type
):
df = tm.makeCustomDataframe(
10, 7, data_gen_f=f, r_idx_type=r_idx_type, c_idx_type=c_idx_type
)
index = getattr(df, index_name)
s = Series(np.random.randn(5), index[:5])
if should_warn(s.index, df.index):
with tm.assert_produces_warning(RuntimeWarning):
res = pd.eval("s + df", engine=engine, parser=parser)
else:
res = pd.eval("s + df", engine=engine, parser=parser)

if r_idx_type == "dt" or c_idx_type == "dt":
expected = df.add(s) if engine == "numexpr" else s + df
else:
expected = s + df
tm.assert_frame_equal(res, expected)

# only test dt with dt, otherwise weird joins result
args = product(["i", "u", "s"], ["i", "u", "s"])
with warnings.catch_warnings(record=True):
# avoid warning about comparing strings and ints
warnings.simplefilter("ignore", RuntimeWarning)

for r_idx_type, c_idx_type in args:
testit(r_idx_type, c_idx_type, index_name)

# dt with dt
args = product(["dt"], ["dt"])
with warnings.catch_warnings(record=True):
# avoid warning about comparing strings and ints
warnings.simplefilter("ignore", RuntimeWarning)

for r_idx_type, c_idx_type in args:
testit(r_idx_type, c_idx_type, index_name)
if r_idx_type == "dt" or c_idx_type == "dt":
expected = df.add(s) if engine == "numexpr" else s + df
else:
expected = s + df
tm.assert_frame_equal(res, expected)

@pytest.mark.parametrize("c_idx_type", index_types)
@pytest.mark.parametrize("r_idx_type", lhs_index_types)
Expand Down