diff --git a/python/pyspark/pandas/plot/core.py b/python/pyspark/pandas/plot/core.py
index 7630ecc39895..429e97ecf07b 100644
--- a/python/pyspark/pandas/plot/core.py
+++ b/python/pyspark/pandas/plot/core.py
@@ -756,10 +756,10 @@ def barh(self, x=None, y=None, **kwargs):
 
         Parameters
         ----------
-        x : label or position, default DataFrame.index
-            Column to be used for categories.
-        y : label or position, default All numeric columns in dataframe
+        x : label or position, default All numeric columns in dataframe
             Columns to be plotted from the DataFrame.
+        y : label or position, default DataFrame.index
+            Column to be used for categories.
         **kwds
             Keyword arguments to pass on to
             :meth:`pyspark.pandas.DataFrame.plot` or :meth:`pyspark.pandas.Series.plot`.
@@ -770,6 +770,13 @@ def barh(self, x=None, y=None, **kwargs):
             Return an custom object when ``backend!=plotly``.
             Return an ndarray when ``subplots=True`` (matplotlib-only).
 
+        Notes
+        -----
+        In Plotly and Matplotlib, the interpretation of `x` and `y` for `barh` plots differs.
+        In Plotly, `x` refers to the values and `y` refers to the categories.
+        In Matplotlib, `x` refers to the categories and `y` refers to the values.
+        Ensure correct axis labeling based on the backend used.
+
         See Also
         --------
         plotly.express.bar : Plot a vertical bar plot using plotly.
diff --git a/python/pyspark/pandas/tests/plot/test_frame_plot_plotly.py b/python/pyspark/pandas/tests/plot/test_frame_plot_plotly.py
index 37469db2c8f5..8d197649aaeb 100644
--- a/python/pyspark/pandas/tests/plot/test_frame_plot_plotly.py
+++ b/python/pyspark/pandas/tests/plot/test_frame_plot_plotly.py
@@ -105,9 +105,10 @@ def check_barh_plot_with_x_y(pdf, psdf, x, y):
             self.assertEqual(pdf.plot.barh(x=x, y=y), psdf.plot.barh(x=x, y=y))
 
         # this is testing plot with specified x and y
-        pdf1 = pd.DataFrame({"lab": ["A", "B", "C"], "val": [10, 30, 20]})
+        pdf1 = pd.DataFrame({"lab": ["A", "B", "C"], "val": [10, 30, 20], "val2": [1.1, 2.2, 3.3]})
         psdf1 = ps.from_pandas(pdf1)
-        check_barh_plot_with_x_y(pdf1, psdf1, x="lab", y="val")
+        check_barh_plot_with_x_y(pdf1, psdf1, x="val", y="lab")
+        check_barh_plot_with_x_y(pdf1, psdf1, x=["val", "val2"], y="lab")
 
     def test_barh_plot(self):
         def check_barh_plot(pdf, psdf):