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Merged
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Dec 29, 2021
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TST: More pytest.mark.parameterize #45106

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37 changes: 19 additions & 18 deletions pandas/tests/arrays/sparse/test_libsparse.py
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Original file line number Diff line number Diff line change
Expand Up @@ -393,26 +393,27 @@ def test_lookup_array(self):
exp = np.array([-1, -1, 1, -1], dtype=np.int32)
tm.assert_numpy_array_equal(res, exp)

def test_lookup_basics(self):
def _check(index):
assert index.lookup(0) == -1
assert index.lookup(5) == 0
assert index.lookup(7) == 2
assert index.lookup(8) == -1
assert index.lookup(9) == -1
assert index.lookup(10) == -1
assert index.lookup(11) == -1
assert index.lookup(12) == 3
assert index.lookup(17) == 8
assert index.lookup(18) == -1

@pytest.mark.parametrize(
"idx, expected",
[
[0, -1],
[5, 0],
[7, 2],
[8, -1],
[9, -1],
[10, -1],
[11, -1],
[12, 3],
[17, 8],
[18, -1],
],
)
def test_lookup_basics(self, idx, expected):
bindex = BlockIndex(20, [5, 12], [3, 6])
iindex = bindex.to_int_index()
assert bindex.lookup(idx) == expected

_check(bindex)
_check(iindex)

# corner cases
iindex = bindex.to_int_index()
assert iindex.lookup(idx) == expected


class TestBlockIndex:
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85 changes: 46 additions & 39 deletions pandas/tests/frame/test_stack_unstack.py
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Expand Up @@ -1421,50 +1421,57 @@ def test_stack(self, multiindex_year_month_day_dataframe_random_data):
# stack with negative number
result = ymd.unstack(0).stack(-2)
expected = ymd.unstack(0).stack(0)
tm.assert_equal(result, expected)

@pytest.mark.parametrize(
"idx, columns, exp_idx",
[
[
list("abab"),
["1st", "2nd", "3rd"],
MultiIndex(
levels=[["a", "b"], ["1st", "2nd", "3rd"]],
codes=[
np.tile(np.arange(2).repeat(3), 2),
np.tile(np.arange(3), 4),
],
),
],
[
list("abab"),
["1st", "2nd", "1st"],
MultiIndex(
levels=[["a", "b"], ["1st", "2nd"]],
codes=[np.tile(np.arange(2).repeat(3), 2), np.tile([0, 1, 0], 4)],
),
],
[
MultiIndex.from_tuples((("a", 2), ("b", 1), ("a", 1), ("b", 2))),
["1st", "2nd", "1st"],
MultiIndex(
levels=[["a", "b"], [1, 2], ["1st", "2nd"]],
codes=[
np.tile(np.arange(2).repeat(3), 2),
np.repeat([1, 0, 1], [3, 6, 3]),
np.tile([0, 1, 0], 4),
],
),
],
],
)
def test_stack_duplicate_index(self, idx, columns, exp_idx):
# GH10417
def check(left, right):
tm.assert_series_equal(left, right)
assert left.index.is_unique is False
li, ri = left.index, right.index
tm.assert_index_equal(li, ri)

df = DataFrame(
np.arange(12).reshape(4, 3),
index=list("abab"),
columns=["1st", "2nd", "3rd"],
index=idx,
columns=columns,
)

mi = MultiIndex(
levels=[["a", "b"], ["1st", "2nd", "3rd"]],
codes=[np.tile(np.arange(2).repeat(3), 2), np.tile(np.arange(3), 4)],
)

left, right = df.stack(), Series(np.arange(12), index=mi)
check(left, right)

df.columns = ["1st", "2nd", "1st"]
mi = MultiIndex(
levels=[["a", "b"], ["1st", "2nd"]],
codes=[np.tile(np.arange(2).repeat(3), 2), np.tile([0, 1, 0], 4)],
)

left, right = df.stack(), Series(np.arange(12), index=mi)
check(left, right)

tpls = ("a", 2), ("b", 1), ("a", 1), ("b", 2)
df.index = MultiIndex.from_tuples(tpls)
mi = MultiIndex(
levels=[["a", "b"], [1, 2], ["1st", "2nd"]],
codes=[
np.tile(np.arange(2).repeat(3), 2),
np.repeat([1, 0, 1], [3, 6, 3]),
np.tile([0, 1, 0], 4),
],
)

left, right = df.stack(), Series(np.arange(12), index=mi)
check(left, right)
result = df.stack()
expected = Series(np.arange(12), index=exp_idx)
tm.assert_series_equal(result, expected)
assert result.index.is_unique is False
li, ri = result.index, expected.index
tm.assert_index_equal(li, ri)

def test_unstack_odd_failure(self):
data = """day,time,smoker,sum,len
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20 changes: 12 additions & 8 deletions pandas/tests/internals/test_internals.py
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Original file line number Diff line number Diff line change
Expand Up @@ -254,14 +254,18 @@ def test_constructor(self):
int32block = create_block("i4", [0])
assert int32block.dtype == np.int32

def test_pickle(self):
def _check(blk):
assert_block_equal(tm.round_trip_pickle(blk), blk)

_check(self.fblock)
_check(self.cblock)
_check(self.oblock)
_check(self.bool_block)
@pytest.mark.parametrize(
"typ, data",
[
["float", [0, 2, 4]],
["complex", [7]],
["object", [1, 3]],
["bool", [5]],
],
)
def test_pickle(self, typ, data):
blk = create_block(typ, data)
assert_block_equal(tm.round_trip_pickle(blk), blk)

def test_mgr_locs(self):
assert isinstance(self.fblock.mgr_locs, BlockPlacement)
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33 changes: 18 additions & 15 deletions pandas/tests/io/formats/test_format.py
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Expand Up @@ -175,29 +175,32 @@ def test_eng_float_formatter(self, float_frame):
repr(df)
tm.reset_display_options()

def test_show_null_counts(self):
@pytest.mark.parametrize(
"row, columns, show_counts, result",
[
[20, 20, None, True],
[20, 20, True, True],
[20, 20, False, False],
[5, 5, None, False],
[5, 5, True, False],
[5, 5, False, False],
],
)
def test_show_counts(self, row, columns, show_counts, result):

df = DataFrame(1, columns=range(10), index=range(10))
df.iloc[1, 1] = np.nan

def check(show_counts, result):
buf = StringIO()
df.info(buf=buf, show_counts=show_counts)
assert ("non-null" in buf.getvalue()) is result

with option_context(
"display.max_info_rows", 20, "display.max_info_columns", 20
"display.max_info_rows", row, "display.max_info_columns", columns
):
check(None, True)
check(True, True)
check(False, False)

with option_context("display.max_info_rows", 5, "display.max_info_columns", 5):
check(None, False)
check(True, False)
check(False, False)
with StringIO() as buf:
df.info(buf=buf, show_counts=show_counts)
assert ("non-null" in buf.getvalue()) is result

def test_show_null_counts_deprecation(self):
# GH37999
df = DataFrame(1, columns=range(10), index=range(10))
with tm.assert_produces_warning(
FutureWarning, match="null_counts is deprecated.+"
):
Expand Down
48 changes: 23 additions & 25 deletions pandas/tests/io/pytables/test_put.py
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Expand Up @@ -219,37 +219,35 @@ def test_put_mixed_type(setup_path):
tm.assert_frame_equal(expected, df)


def test_store_index_types(setup_path):
@pytest.mark.parametrize(
"format, index",
[
["table", tm.makeFloatIndex],
["table", tm.makeStringIndex],
["table", tm.makeIntIndex],
["table", tm.makeDateIndex],
["fixed", tm.makeFloatIndex],
["fixed", tm.makeStringIndex],
["fixed", tm.makeIntIndex],
["fixed", tm.makeDateIndex],
["table", tm.makePeriodIndex], # GH#7796
["fixed", tm.makePeriodIndex],
["table", tm.makeUnicodeIndex],
["fixed", tm.makeUnicodeIndex],
],
)
def test_store_index_types(setup_path, format, index):
# GH5386
# test storing various index types

with ensure_clean_store(setup_path) as store:

def check(format, index):
df = DataFrame(np.random.randn(10, 2), columns=list("AB"))
df.index = index(len(df))

_maybe_remove(store, "df")
store.put("df", df, format=format)
tm.assert_frame_equal(df, store["df"])

for index in [
tm.makeFloatIndex,
tm.makeStringIndex,
tm.makeIntIndex,
tm.makeDateIndex,
]:
df = DataFrame(np.random.randn(10, 2), columns=list("AB"))
df.index = index(len(df))

check("table", index)
check("fixed", index)

check("fixed", tm.makePeriodIndex)
check("table", tm.makePeriodIndex) # GH#7796

# unicode
index = tm.makeUnicodeIndex
check("table", index)
check("fixed", index)
_maybe_remove(store, "df")
store.put("df", df, format=format)
tm.assert_frame_equal(df, store["df"])


def test_column_multiindex(setup_path):
Expand Down