DataFrame(["good"]).to_excel(writer, sheet_name="Sheet2")
+@td.skip_if_no("xlsxwriter")
@pytest.mark.parametrize("data_only, expected", [(True, 0), (False, "=1+1")])
def test_engine_kwargs_append_data_only(ext, data_only, expected):
# GH 43445
# tests whether the data_only engine_kwarg actually works well for
# openpyxl's load_workbook
with tm.ensure_clean(ext) as f:
- DataFrame(["=1+1"]).to_excel(f)
+ DataFrame(["=1+1"]).to_excel(f, engine="xlsxwriter") # with openpyxl here, data_only=True gives None/np.nan not 0
with ExcelWriter(
f, engine="openpyxl", mode="a", engine_kwargs={"data_only": data_only}
) as writer:
assert isinstance(writer, _XlsxWriter)
else:
assert isinstance(writer, klass)
+ # openpyxl raises on closing if no sheets are written
+ DataFrame().to_excel(writer, sheet_name="Sheet1")
def test_ExcelWriter_dispatch_raises(self):
with pytest.raises(ValueError, match="No engine"):