diff --git a/geopandas/explore.py b/geopandas/explore.py
index 3c0f500..5a25253 100644
--- a/geopandas/explore.py
+++ b/geopandas/explore.py
@@ -378,8 +378,9 @@ GON (((180.00000 -16.06713, 180.00000...
                 )
             categorical = True
         elif (
-            gdf[column].dtype is np.dtype("O")
-            or gdf[column].dtype is np.dtype(bool)
+            pd.api.types.is_object_dtype(gdf[column])
+            or pd.api.types.is_bool_dtype(gdf[column])
+            or pd.api.types.is_string_dtype(gdf[column])
             or categories
         ):
             categorical = True
diff --git a/geopandas/plotting.py b/geopandas/plotting.py
index e1f09e0..7677d56 100644
--- a/geopandas/plotting.py
+++ b/geopandas/plotting.py
@@ -733,7 +733,12 @@ GON (((-122.84000 49.00000, -120.0000...
                 "Cannot specify 'categories' when column has categorical dtype"
             )
         categorical = True
-    elif values.dtype is np.dtype("O") or categories:
+    elif (
+        pd.api.types.is_object_dtype(values.dtype)
+        or pd.api.types.is_bool_dtype(values.dtype)
+        or pd.api.types.is_string_dtype(values.dtype)
+        or categories
+    ):
         categorical = True
 
     nan_idx = np.asarray(pd.isna(values), dtype="bool")
diff --git a/geopandas/tests/test_explore.py b/geopandas/tests/test_explore.py
index f6e12f4..a885a75 100644
--- a/geopandas/tests/test_explore.py
+++ b/geopandas/tests/test_explore.py
@@ -256,10 +256,24 @@ class TestExplore:
     def test_bool(self):
         df = self.nybb.copy()
         df["bool"] = [True, False, True, False, True]
-        m = df.explore("bool")
+        df["bool_extension"] = pd.array([True, False, True, False, True])
+        m1 = df.explore("bool")
+        m2 = df.explore("bool_extension")
+
+        out1_str = self._fetch_map_string(m1)
+        assert '"__folium_color":"#9edae5","bool":true' in out1_str
+        assert '"__folium_color":"#1f77b4","bool":false' in out1_str
+
+        out2_str = self._fetch_map_string(m2)
+        assert '"__folium_color":"#9edae5","bool":true' in out2_str
+        assert '"__folium_color":"#1f77b4","bool":false' in out2_str
+
+    def test_string(self):
+        df = self.nybb.copy()
+        df["string"] = pd.array([1, 2, 3, 4, 5], dtype="string")
+        m = df.explore("string")
         out_str = self._fetch_map_string(m)
-        assert '"__folium_color":"#9edae5","bool":true' in out_str
-        assert '"__folium_color":"#1f77b4","bool":false' in out_str
+        assert '"__folium_color":"#9edae5","string":"5"' in out_str
 
     def test_column_values(self):
         """
diff --git a/geopandas/tests/test_plotting.py b/geopandas/tests/test_plotting.py
index 000e430..3a3c9c3 100644
--- a/geopandas/tests/test_plotting.py
+++ b/geopandas/tests/test_plotting.py
@@ -374,6 +374,9 @@ class TestPointPlotting:
         self.df["cats_ordered"] = pd.Categorical(
             ["cat2", "cat1"] * 5, categories=["cat2", "cat1"]
         )
+        self.df["bool"] = [False, True] * 5
+        self.df["bool_extension"] = pd.array([False, True] * 5)
+        self.df["cats_string"] = pd.array(["cat1", "cat2"] * 5, dtype="string")
 
         ax1 = self.df.plot("cats_object", legend=True)
         ax2 = self.df.plot("cats", legend=True)
@@ -381,14 +384,17 @@ class TestPointPlotting:
         ax4 = self.df.plot("singlecat", legend=True)
         ax5 = self.df.plot("cats_ordered", legend=True)
         ax6 = self.df.plot("nums", categories=[1, 2], legend=True)
+        ax7 = self.df.plot("bool", legend=True)
+        ax8 = self.df.plot("bool_extension", legend=True)
+        ax9 = self.df.plot("cats_string", legend=True)
 
         point_colors1 = ax1.collections[0].get_facecolors()
-        for ax in [ax2, ax3, ax4, ax5, ax6]:
+        for ax in [ax2, ax3, ax4, ax5, ax6, ax7, ax8, ax9]:
             point_colors2 = ax.collections[0].get_facecolors()
             np.testing.assert_array_equal(point_colors1[1], point_colors2[1])
 
         legend1 = [x.get_markerfacecolor() for x in ax1.get_legend().get_lines()]
-        for ax in [ax2, ax3, ax4, ax5, ax6]:
+        for ax in [ax2, ax3, ax4, ax5, ax6, ax7, ax8, ax9]:
             legend2 = [x.get_markerfacecolor() for x in ax.get_legend().get_lines()]
             np.testing.assert_array_equal(legend1, legend2)