chore: use from_arrow

pola-rs · Oct 4, 2024 · a051365 · a051365
1 parent 11723c2
commit a051365
Showing 1 changed file with 3 additions and 3 deletions.
diff --git a/py-polars/polars/io/delta.py b/py-polars/polars/io/delta.py
@@ -5,15 +5,15 @@
 from typing import TYPE_CHECKING, Any
 from urllib.parse import urlparse
 
-from polars.dataframe import DataFrame
+from polars.convert import from_arrow
 from polars.datatypes import Null, Time
 from polars.datatypes.convert import unpack_dtypes
 from polars.dependencies import _DELTALAKE_AVAILABLE, deltalake
 from polars.io.parquet import scan_parquet
 from polars.schema import Schema
 
 if TYPE_CHECKING:
-    from polars import DataType, LazyFrame
+    from polars import DataFrame, DataType, LazyFrame
 
 
 def read_delta(
@@ -275,7 +275,7 @@ def scan_delta(
             raise DeltaProtocolError(msg)
 
     delta_schema = dl_tbl.schema().to_pyarrow(as_large_types=True)
-    polars_schema = DataFrame(pa.Table.from_pylist([], delta_schema)).schema
+    polars_schema = from_arrow(pa.Table.from_pylist([], delta_schema)).schema  # type: ignore
     partition_columns = dl_tbl.metadata().partition_columns
 
     def _split_schema(