ongchi commented on PR #562:
URL:
https://github.com/apache/arrow-datafusion-python/pull/562#issuecomment-1937380752
> ```
> DataFrame()
>
+----------------------------------------------------------------------------------------------------------------------------+
> |
flatten(make_array(make_array(Float64(1),Float64(2),Float64(3)),make_array(Float64(4),Float64(5)),make_array(Float64(6))))
|
>
+----------------------------------------------------------------------------------------------------------------------------+
> | [1.0, 2.0, 3.0, 4.0, 5.0, 6.0]
|
>
+----------------------------------------------------------------------------------------------------------------------------+
> ```
Hi @mobley-trent
The `df` created in the test case maybe is a bit misleading, but it would be
like this:
```
❯ SELECT column1 AS arr FROM (VALUES ([1.0, 2.0, 3.0, 3.0]), ([4.0, 5.0,
3.0]), ([6.0]));
+----------------------+
| arr |
+----------------------+
| [1.0, 2.0, 3.0, 3.0] |
| [4.0, 5.0, 3.0] |
| [6.0] |
+----------------------+
```
It's contains of multiple rows of one-dimensional array values. For the
`flatten` function, the existing `df` should be modified or a new dataframe
should be created for this test case.
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