done

lib/python3.11/site-packages/pandas-stubs/plotting/_misc.pyi

@@ -0,0 +1,87 @@
+from collections.abc import (
+    Hashable,
+    Sequence,
+)
+from typing import (
+    Any,
+    Literal,
+)
+
+from matplotlib.axes import Axes
+from matplotlib.colors import Colormap
+from matplotlib.figure import Figure
+from matplotlib.table import Table
+import numpy as np
+from pandas.core.frame import DataFrame
+from pandas.core.series import Series
+from typing_extensions import TypeAlias
+
+from pandas._typing import (
+    HashableT,
+    npt,
+)
+
+_Color: TypeAlias = str | Sequence[float]
+
+def table(
+    ax: Axes,
+    data: DataFrame | Series,
+    **kwargs,
+) -> Table: ...
+def register() -> None: ...
+def deregister() -> None: ...
+def scatter_matrix(
+    frame: DataFrame,
+    alpha: float = 0.5,
+    figsize: tuple[float, float] | None = None,
+    ax: Axes | None = None,
+    grid: bool = False,
+    diagonal: Literal["hist", "kde"] = "hist",
+    marker: str = ".",
+    density_kwds: dict[str, Any] | None = None,
+    hist_kwds: dict[str, Any] | None = None,
+    range_padding: float = 0.05,
+    **kwargs,
+) -> npt.NDArray[np.object_]: ...
+def radviz(
+    frame: DataFrame,
+    class_column: Hashable,
+    ax: Axes | None = None,
+    color: _Color | Sequence[_Color] | None = None,
+    colormap: str | Colormap | None = None,
+    **kwds,
+) -> Axes: ...
+def andrews_curves(
+    frame: DataFrame,
+    class_column: Hashable,
+    ax: Axes | None = None,
+    samples: int = 200,
+    color: _Color | Sequence[_Color] | None = None,
+    colormap: str | Colormap | None = None,
+    **kwargs,
+) -> Axes: ...
+def bootstrap_plot(
+    series: Series,
+    fig: Figure | None = None,
+    size: int = 50,
+    samples: int = 500,
+    **kwds,
+) -> Figure: ...
+def parallel_coordinates(
+    frame: DataFrame,
+    class_column: Hashable,
+    cols: list[HashableT] | None = None,
+    ax: Axes | None = None,
+    color: _Color | Sequence[_Color] | None = None,
+    use_columns: bool = False,
+    xticks: Sequence[float] | None = None,
+    colormap: str | Colormap | None = None,
+    axvlines: bool = True,
+    axvlines_kwds: dict[str, Any] | None = None,
+    sort_labels: bool = False,
+    **kwargs,
+) -> Axes: ...
+def lag_plot(series: Series, lag: int = 1, ax: Axes | None = None, **kwds) -> Axes: ...
+def autocorrelation_plot(series: Series, ax: Axes | None = None, **kwargs) -> Axes: ...
+
+plot_params: dict[str, Any]