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robert3005 merged 3 commits into from
Jul 21, 2026
Merged

Update dependency pyarrow to v23 [SECURITY] #8795

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f2b5733
Update dependency pyarrow to v23 [SECURITY]
renovate[bot] Jul 20, 2026
a746d6d
assertions
robert3005 Jul 21, 2026
1f0c697
fixed
robert3005 Jul 21, 2026
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10 changes: 5 additions & 5 deletions docs/user-guide/pandas.md
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Expand Up @@ -38,11 +38,11 @@ convert:
... {'name': 'Mikhail', 'age': 57},
... ])
>>> struct_arr.to_pandas()
age name
0 25 Joseph
1 31 Narendra
2 33 Angela
3 57 Mikhail
name age
0 Joseph 25
1 Narendra 31
2 Angela 33
3 Mikhail 57
```

{func}`~vortex.array` converts from a Pandas DataFrame into a Vortex array:
Expand Down
4 changes: 2 additions & 2 deletions docs/user-guide/pyarrow.md
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Expand Up @@ -97,9 +97,9 @@ Struct arrays convert to Arrow tables with {meth}`.Array.to_arrow_table`:
... ])
>>> struct_arr.to_arrow_table()
pyarrow.Table
age: int64
name: string
age: int64
----
age: [[25,31,33,57]]
name: [["Joseph","Narendra","Angela","Mikhail"]]
age: [[25,31,33,57]]
```
2 changes: 1 addition & 1 deletion docs/user-guide/vortex-python.md
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Expand Up @@ -49,7 +49,7 @@ A list of {class}`dict` produces a struct array. Missing values may appear at an
... None,
... ])
>>> arr.dtype
struct({"age": int(64, nullable=True), "name": utf8(nullable=True)}, nullable=True)
struct({"name": utf8(nullable=True), "age": int(64, nullable=True)}, nullable=True)
```

{func}`~vortex.array` also accepts {class}`pyarrow.Array`, {class}`pyarrow.Table`,
Expand Down
71 changes: 39 additions & 32 deletions uv.lock
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44 changes: 22 additions & 22 deletions vortex-python/python/vortex/arrays.py
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Expand Up @@ -86,11 +86,11 @@ def _Array_to_arrow_table(self: _arrays.Array) -> pyarrow.Table:
... ])
>>> array.to_arrow_table()
pyarrow.Table
age: int64
name: string
age: int64
----
age: [[25,31,33,57]]
name: [["Joseph","Narendra","Angela","Mikhail"]]
age: [[25,31,33,57]]

"""
array = self.to_arrow_array()
Expand Down Expand Up @@ -125,11 +125,11 @@ def _Array_to_pandas(self: _arrays.Array) -> pandas.DataFrame:
... {'name': 'Mikhail', 'age': 57},
... ])
>>> array.to_pandas()
age name
0 25 Joseph
1 31 Narendra
2 33 Angela
3 57 Mikhail
name age
0 Joseph 25
1 Narendra 31
2 Angela 33
3 Mikhail 57

"""
import pandas
Expand Down Expand Up @@ -172,16 +172,16 @@ def _Array_to_polars_dataframe(
... ])
>>> array.to_polars_dataframe()
shape: (4, 2)
┌─────┬──────────┐
│ age ┆ name │
│ --- ┆ --- │
│ i64 ┆ str │
╞═════╪══════════╡
│ 25 ┆ Joseph │
│ 31 ┆ Narendra │
│ 33 ┆ Angela │
│ 57 ┆ Mikhail │
└─────┴──────────┘
┌──────────┬─────┐
│ name ┆ age │
│ --- ┆ --- │
│ str ┆ i64 │
╞══════════╪═════╡
│ Joseph ┆ 25 │
│ Narendra ┆ 31 │
│ Angela ┆ 33 │
│ Mikhail ┆ 57 │
└──────────┴─────┘

"""
import polars
Expand Down Expand Up @@ -245,10 +245,10 @@ def _Array_to_polars_series(self: _arrays.Array): # -> 'polars.Series': # brea
shape: (4,)
Series: '' [struct[2]]
[
{25,"Joseph"}
{31,"Narendra"}
{33,"Angela"}
{57,"Mikhail"}
{"Joseph",25}
{"Narendra",31}
{"Angela",33}
{"Mikhail",57}
]

"""
Expand Down Expand Up @@ -307,7 +307,7 @@ def _Array_to_pylist(self: _arrays.Array) -> list[Any]: # pyright: ignore[repor
... {'name': 'Angela', 'age': 33},
... ])
>>> array.to_pylist()
[{'age': 25, 'name': 'Joseph'}, {'age': 31, 'name': 'Narendra'}, {'age': 33, 'name': 'Angela'}]
[{'name': 'Joseph', 'age': 25}, {'name': 'Narendra', 'age': 31}, {'name': 'Angela', 'age': 33}]

"""
return self.to_arrow_table().to_pylist()
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24 changes: 12 additions & 12 deletions vortex-python/python/vortex/file.py
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Expand Up @@ -121,20 +121,20 @@ def scan(
>>> vxf.scan().read_all().to_arrow_array()
<pyarrow.lib.StructArray object at ...>
-- is_valid: all not null
-- child 0 type: int64
-- child 0 type: string_view
[
25,
31,
"Joseph",
null,
57,
"Angela",
"Mikhail",
null
]
-- child 1 type: string_view
-- child 1 type: int64
[
"Joseph",
25,
31,
null,
"Angela",
"Mikhail",
57,
null
]

Expand All @@ -158,13 +158,13 @@ def scan(
>>> vxf.scan(expr=ve.column("age") > 35).read_all().to_arrow_array()
<pyarrow.lib.StructArray object at ...>
-- is_valid: all not null
-- child 0 type: int64
-- child 0 type: string_view
[
57
"Mikhail"
]
-- child 1 type: string_view
-- child 1 type: int64
[
"Mikhail"
57
]
"""
return self._file.scan(projection, expr=expr, limit=limit, indices=indices, batch_size=batch_size)
Expand Down
12 changes: 6 additions & 6 deletions vortex-python/python/vortex/scan.py
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Expand Up @@ -50,16 +50,16 @@ def execute(
>>> scan.execute(row_range=(1, 3)).read_all().to_arrow_array()
<pyarrow.lib.StructArray object at ...>
-- is_valid: all not null
-- child 0 type: int64
[
31,
null
]
-- child 1 type: string_view
-- child 0 type: string_view
[
null,
"Angela"
]
-- child 1 type: int64
[
31,
null
]
"""
if row_range is None:
start, stop = None, None
Expand Down
2 changes: 1 addition & 1 deletion vortex-python/src/arrays/mod.rs
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Expand Up @@ -728,7 +728,7 @@ impl PyArray {
/// ... {'name': 'Mikhail', 'age': 57},
/// ... ])
/// >>> array.scalar_at(2).as_py()
/// {'age': 33, 'name': 'Angela'}
/// {'name': 'Angela', 'age': 33}
/// ```
///
/// Retrieve a missing element from an array of structures:
Expand Down
10 changes: 5 additions & 5 deletions vortex-python/test/test_dataset.py
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Expand Up @@ -37,14 +37,14 @@ def ds(tmpdir_factory) -> vx.dataset.VortexDataset: # pyright: ignore[reportUnk

def test_schema(ds: pd.Dataset):
assert ds.schema == pa.schema(
[("bool", pa.bool_()), ("float", pa.float64()), ("index", pa.int64()), ("string", pa.string_view())]
[("index", pa.int64()), ("string", pa.string_view()), ("bool", pa.bool_()), ("float", pa.float64())]
)


def test_scanner_schema(ds: vx.dataset.VortexDataset):
scanner = vx.dataset.VortexScanner(ds)
assert scanner.schema == pa.schema(
[("bool", pa.bool_()), ("float", pa.float64()), ("index", pa.int64()), ("string", pa.string_view())]
[("index", pa.int64()), ("string", pa.string_view()), ("bool", pa.bool_()), ("float", pa.float64())]
)


Expand Down Expand Up @@ -197,13 +197,13 @@ def test_duckdb(ds: vx.dataset.VortexDataset):
tbl = duckdb.execute("select * from ds where string >= '950000' and float < 975.0").arrow().read_all()
assert len(tbl) == 6176
assert tbl.schema == pa.schema(
[("bool", pa.bool_()), ("float", pa.float64()), ("index", pa.int64()), ("string", pa.utf8())]
[("index", pa.int64()), ("string", pa.utf8()), ("bool", pa.bool_()), ("float", pa.float64())]
)

tbl = duckdb.execute("select * from ds").arrow().read_all()
assert len(tbl) == 1_000_000
assert tbl.schema == pa.schema(
[("bool", pa.bool_()), ("float", pa.float64()), ("index", pa.int64()), ("string", pa.utf8())]
[("index", pa.int64()), ("string", pa.utf8()), ("bool", pa.bool_()), ("float", pa.float64())]
)
assert tbl.take([0]).to_pylist()[0] == record(0)
assert tbl.take([950_000]).to_pylist()[0] == record(950_000)
Expand All @@ -217,7 +217,7 @@ def test_fragment_schema(ds: vx.dataset.VortexDataset):
fragments = ds.get_fragments()
for i, f in enumerate(fragments):
assert f.physical_schema == pa.schema(
[("bool", pa.bool_()), ("float", pa.float64()), ("index", pa.int64()), ("string", pa.string_view())]
[("index", pa.int64()), ("string", pa.string_view()), ("bool", pa.bool_()), ("float", pa.float64())]
), (f, i)

assert ds.head(1).to_pylist() == [{"index": 0, "string": "0", "bool": True, "float": 0.0}]
Expand Down
2 changes: 1 addition & 1 deletion vortex-python/test/test_file.py
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Expand Up @@ -32,7 +32,7 @@ def vxf(tmpdir_factory) -> vx.VortexFile: # pyright: ignore[reportUnknownParame

def test_dtype(vxf: VortexFile):
assert vxf.dtype.to_arrow_schema() == pa.schema(
[("bool", pa.bool_()), ("float", pa.float64()), ("index", pa.int64()), ("string", pa.string_view())]
[("index", pa.int64()), ("string", pa.string_view()), ("bool", pa.bool_()), ("float", pa.float64())]
)


Expand Down
2 changes: 1 addition & 1 deletion vortex-python/test/test_scan.py
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Expand Up @@ -72,5 +72,5 @@ def test_scanner_property_projected(vxfile: vx.VortexFile):

def test_scanner_property_dataset_schema(vxfile: vx.VortexFile):
assert vxfile.to_dataset().scanner().dataset_schema == pa.schema(
[("bool", pa.bool_()), ("float", pa.float64()), ("index", pa.int64()), ("string", pa.string_view())]
[("index", pa.int64()), ("string", pa.string_view()), ("bool", pa.bool_()), ("float", pa.float64())]
)
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