linting

Author: smcguire-cmu

src/nested_pandas/nestedframe/io.py

@@ -148,9 +148,7 @@ def read_parquet(
     # Convert to NestedFrame
     # not zero-copy, but reduce memory pressure via the self_destruct kwarg
     # https://arrow.apache.org/docs/python/pandas.html#reducing-memory-use-in-table-to-pandas
-    df = NestedFrame(
-        table.to_pandas(types_mapper=pd.ArrowDtype, split_blocks=True, self_destruct=True)
-    )
+    df = NestedFrame(table.to_pandas(types_mapper=pd.ArrowDtype, split_blocks=True, self_destruct=True))
     del table
     # Attempt to cast struct columns to NestedDTypes
     df = _cast_struct_cols_to_nested(df, reject_nesting)

tests/nested_pandas/e2e_tests/test_issue89.py

@@ -1,5 +1,4 @@
 """Based on https://github.com/lincc-frameworks/nested-pandas/issues/89"""
-from pyarrow.dataset import partitioning
 
 import nested_pandas as npd
 import numpy as np

tests/nested_pandas/nestedframe/test_io.py

@@ -5,11 +5,10 @@
 import pyarrow as pa
 import pyarrow.parquet as pq
 import pytest
-from upath import UPath
-
 from nested_pandas import read_parquet
 from nested_pandas.datasets import generate_data
 from pandas.testing import assert_frame_equal
+from upath import UPath
 
 
 def test_read_parquet():