Moelf commented on issue #411:
URL: https://github.com/apache/arrow-julia/issues/411#issuecomment-1496684663
to show that `pyarrow` does something different and consistent:
```python
In [8]: import pyarrow.feather, numpy as np, pandas as pd
In [9]: df = pd.DataFrame({"x": [[np.uint8(0)], [np.uint8(1), np.uint8(2)]]})
In [11]: pyarrow.feather.write_feather(df, "/tmp/pyarrow.feather",
compression="uncompressed")
In [12]: pyarrow.feather.read_table("/tmp/pyarrow.feather")["x"]
Out[12]:
<pyarrow.lib.ChunkedArray object at 0x7f80e3f93ec0>
[
[
[
0
],
[
1,
2
]
]
]
```
read it back from Julia
```julia
julia> Arrow.Table("/tmp/pyarrow.feather").x
2-element Arrow.List{Union{Missing, Vector{Union{Missing, UInt8}}}, Int32,
Arrow.Primitive{Union{Missing, UInt8}, Vector{UInt8}}}:
Union{Missing, UInt8}[0x00]
Union{Missing, UInt8}[0x01, 0x02]
```
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