CLN: Use newer numpy random Generator methods in plotting colors

pandas/plotting/_matplotlib/style.py

@@ -22,8 +22,6 @@
 
 from pandas.core.dtypes.common import is_list_like
 
-import pandas.core.common as com
-
 if TYPE_CHECKING:
     from matplotlib.colors import Colormap
 
@@ -251,31 +249,17 @@ def _is_floats_color(color: Color | Collection[Color]) -> bool:
 def _get_colors_from_color_type(color_type: str, num_colors: int) -> list[Color]:
     """Get colors from user input color type."""
     if color_type == "default":
-        return _get_default_colors(num_colors)
+        prop_cycle = mpl.rcParams["axes.prop_cycle"]
+        return [
+            c["color"]
+            for c in itertools.islice(prop_cycle, min(num_colors, len(prop_cycle)))
+        ]
     elif color_type == "random":
-        return _get_random_colors(num_colors)
+        return np.random.default_rng(num_colors).random((num_colors, 3)).tolist()
     else:
         raise ValueError("color_type must be either 'default' or 'random'")
 
 
-def _get_default_colors(num_colors: int) -> list[Color]:
-    """Get `num_colors` of default colors from matplotlib rc params."""
-    colors = [c["color"] for c in mpl.rcParams["axes.prop_cycle"]]
-    return colors[0:num_colors]
-
-
-def _get_random_colors(num_colors: int) -> list[Color]:
-    """Get `num_colors` of random colors."""
-    return [_random_color(num) for num in range(num_colors)]
-
-
-def _random_color(column: int) -> list[float]:
-    """Get a random color represented as a list of length 3"""
-    # GH17525 use common._random_state to avoid resetting the seed
-    rs = com.random_state(column)
-    return rs.rand(3).tolist()
-
-
 def _is_single_string_color(color: Color) -> bool:
     """Check if `color` is a single string color.