amoeba commented on issue #546:
URL: https://github.com/apache/arrow-site/issues/546#issuecomment-2400938854
Hi @doki23, thanks for filing an issue. It looks like you figured out what's
going on in the example and the principle it's trying to show. In case it helps
at all, here's PyArrow code that shows the same idea:
```python
In [1]: import pyarrow as pa
...:
In [2]: arr = pa.StructArray.from_arrays(
...: [['joe', None, 'alice', 'mark'], [1, 2, None, 4]],
...: fields=[('a', pa.utf8()), ('b', pa.int64())],
...: mask=pa.array([False, False, True, False], pa.bool_())
...: )
In [3]: arr.to_pandas()
Out[3]:
0 {'a': 'joe', 'b': 1.0}
1 {'a': None, 'b': 2.0}
2 None
3 {'a': 'mark', 'b': 4.0}
dtype: object
```
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