Formatting

py-polars/polars/dataframe/frame.py

@@ -3298,7 +3298,9 @@ def write_delta(
 
         Note: Some polars data types like `Null`, `Categorical` and `Time` are
         not supported by the delta protocol specification. Other unsupported datatypes
-        are casted to their respective `primitive types <https://github.com/delta-io/delta/blob/master/PROTOCOL.md#primitive-types>`__. See list below.
+        are casted to their respective `primitive types
+        <https://github.com/delta-io/delta/blob/master/PROTOCOL.md#primitive-types>`__.
+        See list below:
         - `uint` -> `int`
         - `timestamp(ns)` -> `timestamp(us)`
         - `timestamp(ms)` -> `timestamp(us)`
@@ -3383,7 +3385,6 @@ def write_delta(
         _check_if_delta_available()
 
         from deltalake.writer import (
-            try_get_deltatable,
             write_deltalake,
         )
 
@@ -3416,9 +3417,9 @@ def check_unsupported_types(n: str, t: PolarsDataType | None) -> None:
         data = self.to_arrow()
         data_schema = data.schema
         delta_schema = _create_delta_compatible_schema(data_schema)
-        
+
         #! This will raise ArrowInvalidError if user has to big uints to cast in int
-        data = data.cast(delta_schema) 
+        data = data.cast(delta_schema)
 
         write_deltalake(
             table_or_uri=target,

py-polars/polars/io/delta.py

@@ -345,7 +345,7 @@ def _reconstruct_field_type(
         pa.uint32(): pa.int32(),
         pa.uint64(): pa.int64(),
         pa.large_string(): pa.string(),
-        pa.large_binary(): pa.binary()
+        pa.large_binary(): pa.binary(),
     }
 
     if isinstance(field.type, pa.TimestampType):