updated generated sources, rebased on master

Author: Jolanrensen

core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/Nulls.kt

@@ -151,3 +151,35 @@ public fun <T> DataColumn<T?>.dropNA(): DataColumn<T> =
     }
 
 // endregion
+
+// region dropNaNs
+
+public fun <T> DataFrame<T>.dropNaNs(whereAllNaN: Boolean = false, selector: ColumnsSelector<T, *>): DataFrame<T> {
+    val cols = this[selector]
+
+    return if (whereAllNaN) drop { cols.all { this[it].isNaN } }
+    else drop { cols.any { this[it].isNaN } }
+}
+
+public fun <T> DataFrame<T>.dropNaNs(vararg cols: KProperty<*>, whereAllNaN: Boolean = false): DataFrame<T> =
+    dropNaNs(whereAllNaN) { cols.toColumns() }
+
+public fun <T> DataFrame<T>.dropNaNs(vararg cols: String, whereAllNaN: Boolean = false): DataFrame<T> =
+    dropNaNs(whereAllNaN) { cols.toColumns() }
+
+public fun <T> DataFrame<T>.dropNaNs(vararg cols: AnyColumnReference, whereAllNaN: Boolean = false): DataFrame<T> =
+    dropNaNs(whereAllNaN) { cols.toColumns() }
+
+public fun <T> DataFrame<T>.dropNaNs(cols: Iterable<AnyColumnReference>, whereAllNaN: Boolean = false): DataFrame<T> =
+    dropNaNs(whereAllNaN) { cols.toColumnSet() }
+
+public fun <T> DataFrame<T>.dropNaNs(whereAllNaN: Boolean = false): DataFrame<T> =
+    dropNaNs(whereAllNaN) { all() }
+
+public fun <T> DataColumn<T>.dropNaNs(): DataColumn<T> =
+    when (typeClass) {
+        Double::class, Float::class -> filter { !it.isNaN }.cast()
+        else -> this
+    }
+
+// endregion

core/generated-sources/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/flatten.kt

@@ -2,14 +2,22 @@ package org.jetbrains.kotlinx.dataframe.api
 
 import org.jetbrains.kotlinx.dataframe.ColumnsSelector
 import org.jetbrains.kotlinx.dataframe.DataFrame
+import org.jetbrains.kotlinx.dataframe.columns.ColumnReference
 import org.jetbrains.kotlinx.dataframe.impl.api.flattenImpl
+import org.jetbrains.kotlinx.dataframe.impl.columns.toColumns
+import kotlin.reflect.KProperty
 
 // region DataFrame
 
 public fun <T> DataFrame<T>.flatten(): DataFrame<T> = flatten { all() }
 
-public fun <T, C> DataFrame<T>.flatten(
-    columns: ColumnsSelector<T, C>
-): DataFrame<T> = flattenImpl(columns)
+public fun <T, C> DataFrame<T>.flatten(columns: ColumnsSelector<T, C>): DataFrame<T> = flattenImpl(columns)
+
+public fun <T> DataFrame<T>.flatten(vararg columns: String): DataFrame<T> = flattenImpl { columns.toColumns() }
+
+public fun <T, C> DataFrame<T>.flatten(vararg columns: KProperty<C>): DataFrame<T> = flattenImpl { columns.toColumns() }
+
+public fun <T, C> DataFrame<T>.flatten(vararg columns: ColumnReference<C>): DataFrame<T> =
+    flattenImpl { columns.toColumns() }
 
 // endregion