feat: cast bools to strings if mixed types

python/tests/test_dtypes.py

@@ -42,6 +42,7 @@ def expected_data() -> dict[str, list[Any]]:
         "Details": ["Healthcare"] * 7 + ["Something"] * 2,
         "Asset ID": ["84444"] * 7 + ["ABC123"] * 2,
         "Mixed dates": ["2023-07-21 00:00:00"] * 6 + ["July 23rd"] * 3,
+        "Mixed bools": ["true"] * 5 + ["false"] * 3 + ["other"],
     }
 
 
@@ -92,6 +93,7 @@ def test_sheet_with_mixed_dtypes_and_sample_rows(expected_data: dict[str, list[A
     ]
     expected_data["Asset ID"] = [84444.0] * 7 + [None] * 2
     expected_data["Mixed dates"] = [datetime(2023, 7, 21)] * 6 + [None] * 3
+    expected_data["Mixed bools"] = [True] * 5 + [False] * 3 + [None]
 
     pd_df = sheet.to_pandas()
     pd_assert_frame_equal(

src/types/dtype.rs

@@ -224,6 +224,7 @@ fn int_types() -> &'static HashSet<DType> {
 fn string_types() -> &'static HashSet<DType> {
     STRING_TYPES_CELL.get_or_init(|| {
         HashSet::from([
+            DType::Bool,
             DType::Int,
             DType::Float,
             DType::String,

src/types/python/excelsheet/sheet_data.rs

@@ -134,6 +134,8 @@ mod array_impls {
                         .map(|dt| dt.to_string())
                 } else if cell.is_datetime_iso() {
                     cell.get_datetime_iso().map(str::to_string)
+                } else if cell.is_bool() {
+                    cell.get_bool().map(|v| v.to_string())
                 } else {
                     cell.as_string()
                 }