DOC: read_excel skiprows documentation matches read_csv (#36435)

pandas/io/excel/_base.py

@@ -120,8 +120,12 @@
     Values to consider as True.
 false_values : list, default None
     Values to consider as False.
-skiprows : list-like
-    Rows to skip at the beginning (0-indexed).
+skiprows : list-like, int, or callable, optional
+    Line numbers to skip (0-indexed) or number of lines to skip (int) at the
+    start of the file. If callable, the callable function will be evaluated
+    against the row indices, returning True if the row should be skipped and
+    False otherwise. An example of a valid callable argument would be ``lambda
+    x: x in [0, 2]``.
 nrows : int, default None
     Number of rows to parse.
 na_values : scalar, str, list-like, or dict, default None

pandas/tests/io/excel/test_readers.py

@@ -894,7 +894,7 @@ def test_read_excel_bool_header_arg(self, read_ext):
             with pytest.raises(TypeError, match=msg):
                 pd.read_excel("test1" + read_ext, header=arg)
 
-    def test_read_excel_skiprows_list(self, read_ext):
+    def test_read_excel_skiprows(self, read_ext):
         # GH 4903
         if pd.read_excel.keywords["engine"] == "pyxlsb":
             pytest.xfail("Sheets containing datetimes not supported by pyxlsb")
@@ -920,6 +920,31 @@ def test_read_excel_skiprows_list(self, read_ext):
         )
         tm.assert_frame_equal(actual, expected)
 
+        # GH36435
+        actual = pd.read_excel(
+            "testskiprows" + read_ext,
+            sheet_name="skiprows_list",
+            skiprows=lambda x: x in [0, 2],
+        )
+        tm.assert_frame_equal(actual, expected)
+
+        actual = pd.read_excel(
+            "testskiprows" + read_ext,
+            sheet_name="skiprows_list",
+            skiprows=3,
+            names=["a", "b", "c", "d"],
+        )
+        expected = DataFrame(
+            [
+                # [1, 2.5, pd.Timestamp("2015-01-01"), True],
+                [2, 3.5, pd.Timestamp("2015-01-02"), False],
+                [3, 4.5, pd.Timestamp("2015-01-03"), False],
+                [4, 5.5, pd.Timestamp("2015-01-04"), True],
+            ],
+            columns=["a", "b", "c", "d"],
+        )
+        tm.assert_frame_equal(actual, expected)
+
     def test_read_excel_nrows(self, read_ext):
         # GH 16645
         num_rows_to_pull = 5