Skip to content
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
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
18 changes: 18 additions & 0 deletions pandas-stubs/io/formats/style.pyi
Original file line number Diff line number Diff line change
Expand Up @@ -53,6 +53,11 @@ class _DataFrameFunc(Protocol):
self, series: DataFrame, /, *args: Any, **kwargs: Any
) -> npt.NDArray | DataFrame: ...

class _MapCallable(Protocol):
def __call__(
self, first_arg: Scalar, /, *args: Any, **kwargs: Any
) -> str | None: ...

class Styler(StylerRenderer):
def __init__(
self,
Expand All @@ -71,6 +76,19 @@ class Styler(StylerRenderer):
formatter: ExtFormatter | None = ...,
) -> None: ...
def concat(self, other: Styler) -> Styler: ...
@overload
def map(
self,
func: Callable[[Scalar], str | None],
subset: Subset | None = ...,
) -> Styler: ...
@overload
def map(
self,
func: _MapCallable,
subset: Subset | None = ...,
**kwargs: Any,
) -> Styler: ...
def set_tooltips(
self,
ttips: DataFrame,
Expand Down
28 changes: 27 additions & 1 deletion tests/test_styler.py
Original file line number Diff line number Diff line change
Expand Up @@ -30,7 +30,6 @@

DF = DataFrame({"a": [1, 2, 3], "b": [3.14, 2.72, 1.61]})


PWD = pathlib.Path(os.path.split(os.path.abspath(__file__))[0])

if TYPE_CHECKING:
Expand Down Expand Up @@ -233,3 +232,30 @@ def test_styler_columns_and_index() -> None:
styler = DF.style
check(assert_type(styler.columns, Index), Index)
check(assert_type(styler.index, Index), Index)


def test_styler_map() -> None:
"""Test type returned with Styler.map GH1226."""
df = DataFrame(data={"col1": [1, -2], "col2": [-3, 4]})
check(
assert_type(
df.style.map(
lambda v: "color: red;" if isinstance(v, float) and v < 0 else None
),
Styler,
),
Styler,
)

def color_negative(v: Scalar, /, color: str) -> str | None:
return f"color: {color};" if isinstance(v, float) and v < 0 else None

df = DataFrame(np.random.randn(5, 2), columns=["A", "B"])

check(
assert_type(
df.style.map(color_negative, color="red"),
Styler,
),
Styler,
)