Moelf commented on issue #414:
URL: https://github.com/apache/arrow-julia/issues/414#issuecomment-1496693459
seems fine with `pyarrow`
```python
In [1]: import pyarrow.feather, numpy as np, pandas as pd
In [3]: df = pd.DataFrame({f"col_{k}": np.random.rand(100) for k in
range(65538)})
In [4]: pyarrow.feather.write_feather(df, "/tmp/wide.feather",
compression="uncompressed")
In [6]: pyarrow.feather.read_table("/tmp/wide.feather")["col_65537"]
Out[6]:
<pyarrow.lib.ChunkedArray object at 0x7fd528293c90>
[
[
0.3791875035442084,
0.5547163201551565,
0.13564446518017992,
0.4183265184379561,
0.8100731859852923,
...
0.6820512183941593,
0.6142216465909046,
0.7692441575177542,
0.07715418533522123,
0.38896656434696375
]
]
```
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