We have a case when our input csv has a column that has many values of "0.0" and some real double values.
Problem is that during the sample phase the columnType is set to Integer because the sample values pass in the parse test due to the check at:
https://github.com/jtablesaw/tablesaw/blob/master/core/src/main/java/tech/tablesaw/columns/numbers/IntParser.java#L28

Wondering if that check could be removed or be optional.

We came up with a solution, where we created a custom IntColumnType and IntParser, trying to set columnTypesToDetect in ReadOptions, however it looks like the setter is missing in CsvReadOptions.Builder so the default columnTypesToDetect list cannot be overriden.
We used reflection, but would like to avoid this solution.
Ideal would be to handle "x.0" values as double instead.

We would appreciate your help :)
Szabolcs