cicd pipeline

Author: joyahuang

pandas/core/groupby/groupby.py

@@ -437,7 +437,6 @@ def __call__(self, *args, **kwargs):
         color = kwargs.get("color", None)
         if colormap is not None and color is None:
             from pandas.plotting._matplotlib.style import get_standard_colors
-
             group_keys = list(self._groupby.groups.keys())
             colors = get_standard_colors(
                 num_colors=len(group_keys),
@@ -446,19 +445,25 @@ def __call__(self, *args, **kwargs):
             )
             kwargs = dict(kwargs)
             kwargs.pop("colormap", None)
-
-            def f(group, color, label):
-                return group.plot(*args, color=color, label=label, **kwargs)
-
+            def f(obj, color=None, label=None):
+                plot_kwargs = dict(kwargs)
+                if color is not None:
+                    plot_kwargs["color"] = color
+                if label is not None:
+                    plot_kwargs["label"] = label
+                return obj.plot(*args, **plot_kwargs)
             results = []
             for i, (name, group) in enumerate(self._groupby):
                 results.append(f(group, colors[i], name))
             return results
         else:
-
-            def f(self):
-                return self.plot(*args, **kwargs)
-
+            def f(obj, color=None, label=None):
+                plot_kwargs = dict(kwargs)
+                if color is not None:
+                    plot_kwargs["color"] = color
+                if label is not None:
+                    plot_kwargs["label"] = label
+                return obj.plot(*args, **plot_kwargs)
             f.__name__ = "plot"
             return self._groupby._python_apply_general(f, self._groupby._selected_obj)