fix an OverflowError when showing pl.UInt64 values

Author: mwouts

docs/changelog.md

@@ -1,6 +1,13 @@
 ITables ChangeLog
 =================
 
+2.1.4 (2024-07-03)
+------------------
+
+**Fixed**
+- We have fixed an OverflowError (_can't convert negative int to unsigned_) when displaying Polars DataFrames that contain unsigned integers ([#299](https://github.com/mwouts/itables/issues/299))
+
+
 2.1.3 (2024-06-22)
 ------------------
 

src/itables/datatables_format.py

@@ -114,8 +114,11 @@ def datatables_rows(df, count=None, warn_on_unexpected_types=False, pure_json=Fa
         import polars as pl
 
         has_bigints = any(
-            x.dtype in [pl.Int64, pl.UInt64]
-            and ((x > JS_MAX_SAFE_INTEGER).any() or (x < JS_MIN_SAFE_INTEGER).any())
+            (
+                x.dtype == pl.Int64
+                and ((x > JS_MAX_SAFE_INTEGER).any() or (x < JS_MIN_SAFE_INTEGER).any())
+            )
+            or (x.dtype == pl.UInt64 and (x > JS_MAX_SAFE_INTEGER).any())
             for x in (df[col] for col in df.columns)
         )
         js = json.dumps(data, cls=generate_encoder(False), allow_nan=not pure_json)

src/itables/sample_dfs.py

@@ -301,9 +301,9 @@ def get_dict_of_test_series(polars=False):
 
         # Add a Polar table with unsigned integers
         # https://github.com/mwouts/itables/issues/192
-        polars_series["u32"] = (
-            pl.DataFrame({"foo": [1, 1, 3, 1]}).groupby("foo").count()
-        )
+        # https://github.com/mwouts/itables/issues/299
+        polars_series["u32"] = pl.Series([1, 2, 5]).cast(pl.UInt32)
+        polars_series["u64"] = pl.Series([1, 2, 2**40]).cast(pl.UInt64)
 
         return polars_series
 

src/itables/version.py

@@ -1,3 +1,3 @@
 """ITables' version number"""
 
-__version__ = "2.1.3"
+__version__ = "2.1.4"