Skip to content

BUG: na parameter for str.startswith and str.endswith not propagating for Series with categorical dtype #36249

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 10 commits into from
Sep 12, 2020
Merged

BUG: na parameter for str.startswith and str.endswith not propagating for Series with categorical dtype #36249

Show file tree
Hide file tree
Changes from 5 commits
Commits
Show all changes
10 commits
Select commit Hold shift + click to select a range
e9a418d
add breaking test
asishm Sep 9, 2020
1a5cf4f
propagate na to _wrap_result
asishm Sep 9, 2020
2f90e6b
add string, fill value and null value parametrize
asishm Sep 11, 2020
54e486e
add na=True/False param to string tests; parametrize over na and null…
asishm Sep 11, 2020
70b6e3c
Merge branch 'master' of github.com:pandas-dev/pandas into strmethods
asishm Sep 11, 2020
44d386e
add whatsnew note
asishm Sep 11, 2020
5e3be5a
black
asishm Sep 11, 2020
d8e5bb7
Update doc/source/whatsnew/v1.1.3.rst
asishm Sep 11, 2020
1467a0a
make expected series explicit
asishm Sep 12, 2020
9d0070c
Merge branch 'strmethods' of github.com:asishm/pandas into strmethods
asishm Sep 12, 2020
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion doc/source/whatsnew/v1.1.3.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -22,7 +22,7 @@ Fixed regressions

Bug fixes
~~~~~~~~~
-
- Bug in :meth:`str.startswith` and :meth:`str.endswith` for Series with ``category`` dtype not propagating ``na`` parameter (:issue:`36241`)

.. ---------------------------------------------------------------------------

Expand Down
34 changes: 24 additions & 10 deletions pandas/tests/test_strings.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -29,6 +29,8 @@ def assert_series_or_index_equal(left, right):
("decode", ("UTF-8",), {}),
("encode", ("UTF-8",), {}),
("endswith", ("a",), {}),
("endswith", ("a",), {"na": True}),
("endswith", ("a",), {"na": False}),
("extract", ("([a-z]*)",), {"expand": False}),
("extract", ("([a-z]*)",), {"expand": True}),
("extractall", ("([a-z]*)",), {}),
Expand Down Expand Up @@ -58,6 +60,8 @@ def assert_series_or_index_equal(left, right):
("split", (" ",), {"expand": False}),
("split", (" ",), {"expand": True}),
("startswith", ("a",), {}),
("startswith", ("a",), {"na": True}),
("startswith", ("a",), {"na": False}),
# translating unicode points of "a" to "d"
("translate", ({97: 100},), {}),
("wrap", (2,), {}),
Expand Down Expand Up @@ -838,19 +842,22 @@ def test_contains_for_object_category(self):
expected = Series([True, False, False, True, False])
tm.assert_series_equal(result, expected)

# add category dtype parametrizations for GH-36241
@pytest.mark.parametrize("dtype", [None, "category"])
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

we want to parameterize over 'string' dtype as well rigth?

Copy link
Contributor Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

string arrays are already tested here
https://github.com/pandas-dev/pandas/blob/1.1.x/pandas/tests/test_strings.py#L3530-L3531

parametrizing over string dtype and na=True/False was making it a bit tricky as these methods return boolean series causing a dtype mismatch (boolean vs object)

Copy link
Contributor Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

@jreback tried to do that changing the referenced tests slightly with
https://github.com/pandas-dev/pandas/pull/36249/files#diff-683f8dacd08abda4913680fafe3a4ea7R3573-R3576 , https://github.com/pandas-dev/pandas/pull/36249/files#diff-683f8dacd08abda4913680fafe3a4ea7R32-R33 and https://github.com/pandas-dev/pandas/pull/36249/files#diff-683f8dacd08abda4913680fafe3a4ea7R63-R64

def test_startswith(self, dtype):
@pytest.mark.parametrize("null_value", [None, np.nan, pd.NA])
@pytest.mark.parametrize("na", [True, False])
def test_startswith(self, dtype, null_value, na):
# add category dtype parametrizations for GH-36241
values = Series(
["om", np.nan, "foo_nom", "nom", "bar_foo", np.nan, "foo"], dtype=dtype
["om", null_value, "foo_nom", "nom", "bar_foo", null_value, "foo"],
dtype=dtype,
)

result = values.str.startswith("foo")
exp = Series([False, np.nan, True, False, False, np.nan, True])
tm.assert_series_equal(result, exp)

result = values.str.startswith("foo", na=True)
tm.assert_series_equal(result, exp.fillna(True).astype(bool))
result = values.str.startswith("foo", na=na)
tm.assert_series_equal(result, exp.fillna(na).astype(bool))

# mixed
mixed = np.array(
Expand All @@ -871,19 +878,22 @@ def test_startswith(self, dtype):
)
tm.assert_series_equal(rs, xp)

# add category dtype parametrizations for GH-36241
@pytest.mark.parametrize("dtype", [None, "category"])
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

same as above

def test_endswith(self, dtype):
@pytest.mark.parametrize("null_value", [None, np.nan, pd.NA])
@pytest.mark.parametrize("na", [True, False])
def test_endswith(self, dtype, null_value, na):
# add category dtype parametrizations for GH-36241
values = Series(
["om", np.nan, "foo_nom", "nom", "bar_foo", np.nan, "foo"], dtype=dtype
["om", null_value, "foo_nom", "nom", "bar_foo", null_value, "foo"],
dtype=dtype,
)

result = values.str.endswith("foo")
exp = Series([False, np.nan, False, False, True, np.nan, True])
tm.assert_series_equal(result, exp)

result = values.str.endswith("foo", na=False)
tm.assert_series_equal(result, exp.fillna(False).astype(bool))
result = values.str.endswith("foo", na=na)
tm.assert_series_equal(result, exp.fillna(na).astype(bool))

# mixed
mixed = np.array(
Expand Down Expand Up @@ -3560,6 +3570,10 @@ def test_string_array(any_string_method):
assert result.dtype == "boolean"
result = result.astype(object)

elif expected.dtype == "bool":
assert result.dtype == "boolean"
result = result.astype("bool")

elif expected.dtype == "float" and expected.isna().any():
assert result.dtype == "Int64"
result = result.astype("float")
Expand Down