diff --git a/py-polars/tests/unit/io/files/test_empty_rows.xlsx b/py-polars/tests/unit/io/files/test_empty_rows.xlsx
new file mode 100644
index 0000000000000..1fc27ee4c3e48
Binary files /dev/null and b/py-polars/tests/unit/io/files/test_empty_rows.xlsx differ
diff --git a/py-polars/tests/unit/io/test_spreadsheet.py b/py-polars/tests/unit/io/test_spreadsheet.py
index 8869affa1e1bd..6dc9a56ca9ab0 100644
--- a/py-polars/tests/unit/io/test_spreadsheet.py
+++ b/py-polars/tests/unit/io/test_spreadsheet.py
@@ -80,6 +80,10 @@ def path_ods_empty(io_files_path: Path) -> Path:
 def path_ods_mixed(io_files_path: Path) -> Path:
     return io_files_path / "mixed.ods"
 
+@pytest.fixture()
+def path_empty_rows_excel(io_files_path: Path) -> Path:
+    return io_files_path / "test_empty_rows.xlsx"
+
 
 @pytest.mark.parametrize(
     ("read_spreadsheet", "source", "engine_params"),
@@ -1058,3 +1062,25 @@ def test_identify_workbook(
         bytesio_data = BytesIO(f.read())
         assert _identify_workbook(bytesio_data) == file_type
         assert isinstance(pl.read_excel(bytesio_data, engine="calamine"), pl.DataFrame)
+
+def test_drop_empty_rows(path_empty_rows_excel: Path):
+    df1 = pl.read_excel(source=path_empty_rows_excel, engine="xlsx2csv")
+    assert df1.shape == (8, 4)
+    df2 = pl.read_excel(source=path_empty_rows_excel, engine="xlsx2csv", drop_empty_rows=True)
+    assert df2.shape == (8, 4)
+    df3 = pl.read_excel(source=path_empty_rows_excel, engine="xlsx2csv", drop_empty_rows=False)
+    assert df3.shape == (10, 4)
+
+    df4 = pl.read_excel(source=path_empty_rows_excel, engine="openpyxl")
+    assert df4.shape == (8, 4)
+    df5 = pl.read_excel(source=path_empty_rows_excel, engine="openpyxl", drop_empty_rows=True)
+    assert df5.shape == (8, 4)
+    df6 = pl.read_excel(source=path_empty_rows_excel, engine="openpyxl", drop_empty_rows=False)
+    assert df6.shape == (10, 4)
+
+    df7 = pl.read_excel(source=path_empty_rows_excel, engine="calamine")
+    assert df7.shape == (8, 4)
+    df8 = pl.read_excel(source=path_empty_rows_excel, engine="calamine", drop_empty_rows=True)
+    assert df8.shape == (8, 4)
+    df9 = pl.read_excel(source=path_empty_rows_excel, engine="calamine", drop_empty_rows=False)
+    assert df9.shape == (10, 4)