Fix edgecolor in catplot with kind='bar' (#3547)

* Fix edgecolor in catplot with kind='bar'

Fixes #3542

* Use rule-based default edgecolor closer to where it is defined

seaborn/categorical.py

@@ -2830,7 +2830,11 @@ def catplot(
         if saturation < 1:
             color = desaturate(color, saturation)
 
-    edgecolor = p._complement_color(kwargs.pop("edgecolor", default), color, p._hue_map)
+    if kind in ["strip", "swarm"]:
+        kwargs = _normalize_kwargs(kwargs, mpl.collections.PathCollection)
+        kwargs["edgecolor"] = p._complement_color(
+            kwargs.pop("edgecolor", default), color, p._hue_map
+        )
 
     width = kwargs.pop("width", 0.8)
     dodge = kwargs.pop("dodge", False if kind in undodged_kinds else "auto")
@@ -2841,7 +2845,6 @@ def catplot(
 
         jitter = kwargs.pop("jitter", True)
         plot_kws = kwargs.copy()
-        plot_kws["edgecolor"] = edgecolor
         plot_kws.setdefault("zorder", 3)
         plot_kws.setdefault("linewidth", 0)
         if "s" not in plot_kws:
@@ -2858,7 +2861,6 @@ def catplot(
 
         warn_thresh = kwargs.pop("warn_thresh", .05)
         plot_kws = kwargs.copy()
-        plot_kws["edgecolor"] = edgecolor
         plot_kws.setdefault("zorder", 3)
         if "s" not in plot_kws:
             plot_kws["s"] = plot_kws.pop("size", 5) ** 2

tests/test_categorical.py

@@ -2307,7 +2307,7 @@ def test_err_kws(self, fill):
             dict(data="long", x="a", y="y", errorbar=("pi", 50)),
             dict(data="long", x="a", y="y", errorbar=None),
             dict(data="long", x="a", y="y", capsize=.3, err_kws=dict(c="k")),
-            dict(data="long", x="a", y="y", color="blue", ec="green", alpha=.5),
+            dict(data="long", x="a", y="y", color="blue", edgecolor="green", alpha=.5),
         ]
     )
     def test_vs_catplot(self, long_df, wide_df, null_df, flat_series, kwargs):