Github user BryanCutler commented on the issue:
https://github.com/apache/spark/pull/18378
@edlee123 a Spark `DoubleType` will produce a `float64` dtype in Pandas and
`FloatType` will be `float32`. `DateType` will be Python datetime.date
objects. Also keep in mind that if you have integer data with null values,
then Pandas will treat it as floats and represent the null values as `NaN`s.
In this case, Spark will not change the dtype.
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