Github user BryanCutler commented on the issue:
https://github.com/apache/spark/pull/18945
Thanks for clarifying @HyukjinKwon , I see what you mean now. Since pandas
will iterate over `self.collect()` anyway I don't think your solution would
impact performance at all right? So your way might be better, but it is
slightly more complicated..
Just to sum things up - @logannc does this still meet your requirements?
Instead of having the `strict = True` option we do the following:
```
for each nullable int32 column:
if there are null values:
change column type to float32
else:
change column type to int32
```
I'm also guessing we will have the same problem with nullable ShortType -
maybe others?
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