fix: DataFrame plot was raising when some extra keywords were passed …

…to encodings (e.g. `x=alt.X(a, axis=alt.Axis(labelAngle=30))`)

py-polars/polars/dataframe/plotting.py

@@ -2,10 +2,11 @@
 
 from typing import TYPE_CHECKING, Callable, Dict, Union
 
+from polars.dependencies import altair as alt
+
 if TYPE_CHECKING:
     import sys
 
-    import altair as alt
     from altair.typing import ChannelColor as Color
     from altair.typing import ChannelOrder as Order
     from altair.typing import ChannelSize as Size
@@ -25,23 +26,29 @@
     else:
         from typing_extensions import Unpack
 
-    Encodings: TypeAlias = Dict[
-        str,
-        Union[X, Y, Color, Order, Size, Tooltip],
-    ]
+    Encoding: TypeAlias = Union[X, Y, Color, Order, Size, Tooltip]
+    Encodings: TypeAlias = Dict[str, Encoding]
+
+
+def _maybe_extract_shorthand(encoding: Encoding) -> Encoding:
+    if isinstance(encoding, alt.SchemaBase) and hasattr(encoding, "shorthand"):
+        # e.g. for `alt.X('x:Q', axis=alt.Axis(labelAngle=30))`, return `'x:Q'`
+        return encoding.shorthand
+    return encoding
 
 
 def _add_tooltip(encodings: Encodings, /, **kwargs: Unpack[EncodeKwds]) -> None:
     if "tooltip" not in kwargs:
-        encodings["tooltip"] = [*encodings.values(), *kwargs.values()]  # type: ignore[assignment]
+        encodings["tooltip"] = [
+            *[_maybe_extract_shorthand(x) for x in encodings.values()],
+            *[_maybe_extract_shorthand(x) for x in kwargs.values()],  # type: ignore[arg-type]
+        ]  # type: ignore[assignment]
 
 
 class DataFramePlot:
     """DataFrame.plot namespace."""
 
     def __init__(self, df: DataFrame) -> None:
-        import altair as alt
-
         self._chart = alt.Chart(df)
 
     def bar(

py-polars/tests/unit/operations/namespaces/test_plot.py

@@ -1,3 +1,5 @@
+import altair as alt
+
 import polars as pl
 
 
@@ -66,3 +68,9 @@ def test_empty_dataframe() -> None:
 
 def test_nameless_series() -> None:
     pl.Series([1, 2, 3]).plot.kde().to_json()
+
+
+def test_x_with_axis_18830() -> None:
+    df = pl.DataFrame({"a": [1, 2, 3], "b": [4, 5, 6], "c": [7, 8, 9]})
+    result = df.plot.line(x=alt.X("a", axis=alt.Axis(labelAngle=-90))).to_dict()
+    assert result["encoding"]["tooltip"] == [{"field": "a", "type": "quantitative"}]