jo-migo commented on code in PR #47454:
URL: https://github.com/apache/arrow/pull/47454#discussion_r2406704091
##########
python/pyarrow/scalar.pxi:
##########
@@ -1173,7 +1173,7 @@ cdef class MapScalar(ListScalar, Mapping):
if not maps_as_pydicts:
return list(self)
result_dict = {}
- for key, value in self:
+ for key, value in zip(self.keys(),
self.values.field(self.type.item_field.name)):
Review Comment:
As for the context, check out the PR description for a (hopefully)
straightforward minimal example, but it's just like @jonded94 says. The problem
with the current implementation is that round trips from python -> arrow ->
python are broken at the moment for nested map columns ---
basically we want
```
{'x': {'a': {'1': 1}}} -> {'x': {'a': {'1': 1}}}
```
but the current behaviour with `maps_as_pydicts` is:
```
{'x': {'a': {'1': 1}}} -> {'x': {'a': [('1', 1)]}}
```
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