timsaucer commented on issue #752:
URL:
https://github.com/apache/datafusion-python/issues/752#issuecomment-2297702463
This turned out to be easier than I expected. Right now I have it importing
using the upstream pycapsule implementation and I'm exporting DataFrame. Is
there anything else you think needs exporting?
```
from datafusion import lit, SessionContext
import nanoarrow as na
import pyarrow as pa
ctx = SessionContext()
table = pa.table({"a": [1, 2, 3, 4], "b": ["a", "b", "c", "d"]})
print(table)
df = ctx.from_arrow_table(table).with_column("c", lit(3))
df.show()
nd = na.Array(df)
print(nd)
```
Produces
```
pyarrow.Table
a: int64
b: string
----
a: [[1,2,3,4]]
b: [["a","b","c","d"]]
DataFrame()
+---+---+---+
| a | b | c |
+---+---+---+
| 1 | a | 3 |
| 2 | b | 3 |
| 3 | c | 3 |
| 4 | d | 3 |
+---+---+---+
nanoarrow.Array<non-nullable struct<a: int64, b: string, c: int64>>[4]
{'a': 1, 'b': 'a', 'c': 3}
{'a': 2, 'b': 'b', 'c': 3}
{'a': 3, 'b': 'c', 'c': 3}
{'a': 4, 'b': 'd', 'c': 3}
```
I'll put up a PR after I've had time to write up some good unit tests.
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