test: move and fix name of test

python/tests/test_column_selection.py

@@ -345,3 +345,69 @@ def test_single_sheet_invalid_column_indices_column_does_not_exist_int(
 """
     with pytest.raises(fastexcel.ColumnNotFoundError, match=expected_message):
         excel_reader_single_sheet_with_unnamed_columns.load_sheet(0, use_columns=[42])
+
+
+def test_use_columns_with_column_names() -> None:
+    excel_reader = fastexcel.read_excel(path_for_fixture("fixture-single-sheet-with-types.xlsx"))
+
+    sheet = excel_reader.load_sheet(
+        0,
+        use_columns=[1, 2],
+        header_row=None,
+        skip_rows=1,
+        column_names=["bools_renamed", "dates_renamed"],
+    )
+
+    assert sheet.available_columns == [
+        fastexcel.ColumnInfo(
+            name="__UNNAMED__0",
+            column_name_from="generated",
+            index=0,
+            dtype="float",
+            dtype_from="guessed",
+        ),
+        fastexcel.ColumnInfo(
+            name="bools_renamed",
+            index=1,
+            dtype="boolean",
+            dtype_from="guessed",
+            column_name_from="provided",
+        ),
+        fastexcel.ColumnInfo(
+            name="dates_renamed",
+            index=2,
+            dtype="datetime",
+            dtype_from="guessed",
+            column_name_from="provided",
+        ),
+        fastexcel.ColumnInfo(
+            name="__UNNAMED__3",
+            index=3,
+            dtype="float",
+            dtype_from="guessed",
+            column_name_from="generated",
+        ),
+    ]
+
+    pd_assert_frame_equal(
+        sheet.to_pandas(),
+        pd.DataFrame(
+            {
+                "bools_renamed": [True, False, True],
+                "dates_renamed": pd.Series([pd.Timestamp("2022-03-02 05:43:04")] * 3).astype(
+                    "datetime64[ms]"
+                ),
+            }
+        ),
+    )
+    pl_assert_frame_equal(
+        sheet.to_polars(),
+        pl.DataFrame(
+            {
+                "bools_renamed": [True, False, True],
+                "dates_renamed": ["2022-03-02 05:43:04"] * 3,
+            }
+        ).with_columns(
+            pl.col("dates_renamed").str.strptime(pl.Datetime, "%F %T").dt.cast_time_unit("ms")
+        ),
+    )