| sult, expected) | |
| @pytest.mark.parametrize( | |
| "header, expected_data", | |
| [ | |
| ( | |
| 0, | |
| { | |
| "Title": [np.nan, "A", 1, 2, 3], | |
| "Unnamed: 1": [np.nan, "B", 4, 5, 6], | |
| "Unnamed: 2": [np.nan, "C", 7, 8, 9], | |
| }, | |
| ), | |
| (2, {"A": [1, 2, 3], "B": [4, 5, 6], "C": [7, 8, 9]}), | |
| ], | |
| ) | |
| @pytest.mark.parametrize( | |
| "filename", ["dimension_missing", "dimension_small", "dimension_large"] | |
| ) | |
| # When read_only is None, use read_excel instead of a workbook | |
| @pytest.mark.parametrize("read_only", [True, False, None]) | |
| def test_read_with_bad_dimension( | |
| datapath, ext, header, expected_data, filename, read_only | |
| ): | |
| # GH 38956, 39001 - no/incorrect dimension information | |
| path = datapath("io", "data", "excel", f"{filename}{ext}") | |
| if read_only is None: | |
| result = pd.read_excel(path, header=header) | |
| else: | |
| with contextlib.closing( | |
| openpyxl.load_workbook(path, read_only=read_only) | |
| ) as wb: | |
| result = pd.read_excel(wb, engine="openpyxl", header=header) | |
| expected = DataFrame(expected_data) | |
| tm.assert_frame_equal(result, expected) | |
| def test_append_mode_file(ext): | |
| # GH 39576 | |
| df = DataFrame() | |
| with tm.ensure_clean(ext) as f: | |
| df.to_excel(f, engine="openpyxl") | |
| with ExcelWriter( | |
| f, mode="a", engine="openpyxl", if_sheet_exists="new" | |
| ) as writer: | |
| df.to_excel(writer) | |
| # make sure that zip files are not concatenated by making sure that | |
| # "docProps/app.xml" only occurs twice in the file | |
| data = Path(f).read_bytes() | |
| first = data.find(b"docProps/app.xml") | |
| second = data.find(b"docProps/app.xml", first + 1) | |
| third = data.find(b"docProps/app.xml", second + 1) | |
| assert second != -1 and third == -1 | |
| # When read_only is None, use read_excel instead of a workbook | |
| @pytest.mark.parametrize("read_only", [True, False, None]) | |
| def test_read_wi |