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When serializing dataframe with GroupColumn(s) after de-serialization the columns are represented as ValueColumns.
@test fun testMultilevel() { val rangeRows = (1..3).toList() val downColsRange = 1..4 val middleColRange = 1..3 val topColRange=1..2
val IID = columnOf(*rangeRows.toTypedArray()).map { "IID$it" }.named("IID") val topCols = topColRange.map { tc-> columnOf( middleColRange.map { mc -> columnOf( downColsRange.map { dc -> columnOf(*rangeRows.toTypedArray()).named("$tc-$mc-down$dc").map{Random.nextDouble()} } ).named("$tc-middle$mc") }).named("top$tc") } val col2add = columnOf(*rangeRows.toTypedArray()).map { "NEW$it" }.named("Calc") val frame = dataFrameOf(IID,*topCols.toTypedArray()) frame.writeArrowFeather(File("output2.arrow")) val arr = AnyFrame.readArrowFeather(File("output2.arrow")) println(arr.columnTypes()) }
The text was updated successfully, but these errors were encountered:
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When serializing dataframe with GroupColumn(s) after de-serialization the columns are represented as ValueColumns.
@test
fun testMultilevel() {
val rangeRows = (1..3).toList()
val downColsRange = 1..4
val middleColRange = 1..3
val topColRange=1..2
The text was updated successfully, but these errors were encountered: