ueshin opened a new pull request, #40497:
URL: https://github.com/apache/spark/pull/40497
### What changes were proposed in this pull request?
Fix `DataFrame.toPandas()` to handle timezone and map types properly.
### Why are the changes needed?
Currently `DataFrame.toPandas()` doesn't handle timezone for timestamp type,
and map types properly.
For example:
```py
>>> schema = StructType().add("ts", TimestampType())
>>> spark.createDataFrame([(datetime(1969, 1, 1, 1, 1, 1),), (datetime(2012,
3, 3, 3, 3, 3),), (datetime(2100, 4, 4, 4, 4, 4),)], schema).toPandas()
ts
0 1969-01-01 01:01:01-08:00
1 2012-03-03 03:03:03-08:00
2 2100-04-04 03:04:04-08:00
```
which should be:
```py
ts
0 1969-01-01 01:01:01
1 2012-03-03 03:03:03
2 2100-04-04 04:04:04
```
### Does this PR introduce _any_ user-facing change?
The result of `DataFrame.toPandas()` with timestamp type and map type will
be the same as PySpark.
### How was this patch tested?
Enabled the related tests.
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