Fix meta derivation for from_lists

src/nested_dask/core.py

@@ -9,7 +9,7 @@
 import pyarrow as pa
 from dask.dataframe.dask_expr._collection import new_collection
 from nested_pandas.series.dtype import NestedDtype
-from nested_pandas.series.packer import pack, pack_flat
+from nested_pandas.series.packer import pack, pack_flat, pack_lists
 from pandas._libs import lib
 from pandas._typing import AnyAll, Axis, IndexLabel
 from pandas.api.extensions import no_default
@@ -414,7 +414,7 @@ def from_lists(cls, df, base_columns=None, list_columns=None, name="nested"):
 
         meta = npd.NestedFrame(df[base_columns]._meta)
 
-        nested_meta = pack(df[list_columns]._meta, name)
+        nested_meta = pack_lists(df[list_columns]._meta, name)
         meta = meta.join(nested_meta)
 
         return df.map_partitions(

tests/nested_dask/test_nestedframe.py

@@ -8,6 +8,7 @@
 import pytest
 from nested_dask.datasets import generate_data
 from nested_pandas.series.dtype import NestedDtype
+from pandas.testing import assert_frame_equal
 
 dask.config.set({"dataframe.convert-string": False})
 
@@ -205,6 +206,7 @@ def test_from_lists():
     ndf_comp = ndf.compute()
     assert list(ndf.columns) == list(ndf_comp.columns)
     assert list(ndf["nested"].nest.fields) == list(ndf["nested"].nest.fields)
+    assert_frame_equal(ndf_comp.iloc[:0], ndf.meta)
 
     # Check with just list_columns
     ndf = nd.NestedFrame.from_lists(nf, list_columns=["e", "f"])