Fixes #1548 by making all pivot shortcuts use PivotDsl

Author: Jolanrensen

core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/api/pivot.kt

@@ -1,7 +1,6 @@
 package org.jetbrains.kotlinx.dataframe.api
 
 import org.jetbrains.kotlinx.dataframe.AnyColumnReference
-import org.jetbrains.kotlinx.dataframe.ColumnsSelector
 import org.jetbrains.kotlinx.dataframe.DataFrame
 import org.jetbrains.kotlinx.dataframe.DataRow
 import org.jetbrains.kotlinx.dataframe.Selector
@@ -77,7 +76,7 @@ public fun <T> DataFrame<T>.pivot(vararg columns: KProperty<*>, inward: Boolean?
 
 // region pivotMatches
 
-public fun <T> DataFrame<T>.pivotMatches(inward: Boolean = true, columns: ColumnsSelector<T, *>): DataFrame<T> =
+public fun <T> DataFrame<T>.pivotMatches(inward: Boolean = true, columns: PivotColumnsSelector<T, *>): DataFrame<T> =
     pivot(inward, columns).groupByOther().matches()
 
 public fun <T> DataFrame<T>.pivotMatches(vararg columns: String, inward: Boolean = true): DataFrame<T> =
@@ -97,7 +96,7 @@ public fun <T> DataFrame<T>.pivotMatches(vararg columns: KProperty<*>, inward: B
 
 // region pivotCounts
 
-public fun <T> DataFrame<T>.pivotCounts(inward: Boolean = true, columns: ColumnsSelector<T, *>): DataFrame<T> =
+public fun <T> DataFrame<T>.pivotCounts(inward: Boolean = true, columns: PivotColumnsSelector<T, *>): DataFrame<T> =
     pivot(inward, columns).groupByOther().count()
 
 public fun <T> DataFrame<T>.pivotCounts(vararg columns: String, inward: Boolean = true): DataFrame<T> =
@@ -121,7 +120,7 @@ public fun <T> DataFrame<T>.pivotCounts(vararg columns: KProperty<*>, inward: Bo
 
 // region pivot
 
-public fun <G> GroupBy<*, G>.pivot(inward: Boolean = true, columns: ColumnsSelector<G, *>): PivotGroupBy<G> =
+public fun <G> GroupBy<*, G>.pivot(inward: Boolean = true, columns: PivotColumnsSelector<G, *>): PivotGroupBy<G> =
     PivotGroupByImpl(this, columns, inward)
 
 @Deprecated(DEPRECATED_ACCESS_API)
@@ -141,7 +140,7 @@ public fun <G> GroupBy<*, G>.pivot(vararg columns: KProperty<*>, inward: Boolean
 
 // region pivotMatches
 
-public fun <G> GroupBy<*, G>.pivotMatches(inward: Boolean = true, columns: ColumnsSelector<G, *>): DataFrame<G> =
+public fun <G> GroupBy<*, G>.pivotMatches(inward: Boolean = true, columns: PivotColumnsSelector<G, *>): DataFrame<G> =
     pivot(inward, columns).matches()
 
 public fun <G> GroupBy<*, G>.pivotMatches(vararg columns: String, inward: Boolean = true): DataFrame<G> =
@@ -161,7 +160,7 @@ public fun <G> GroupBy<*, G>.pivotMatches(vararg columns: KProperty<*>, inward:
 
 // region pivotCounts
 
-public fun <G> GroupBy<*, G>.pivotCounts(inward: Boolean = true, columns: ColumnsSelector<G, *>): DataFrame<G> =
+public fun <G> GroupBy<*, G>.pivotCounts(inward: Boolean = true, columns: PivotColumnsSelector<G, *>): DataFrame<G> =
     pivot(inward, columns).count()
 
 public fun <G> GroupBy<*, G>.pivotCounts(vararg columns: String, inward: Boolean = true): DataFrame<G> =
@@ -211,7 +210,7 @@ public fun <T> AggregateGroupedDsl<T>.pivot(vararg columns: KProperty<*>, inward
 
 public fun <T> AggregateGroupedDsl<T>.pivotMatches(
     inward: Boolean = true,
-    columns: ColumnsSelector<T, *>,
+    columns: PivotColumnsSelector<T, *>,
 ): DataFrame<T> = pivot(inward, columns).matches()
 
 public fun <T> AggregateGroupedDsl<T>.pivotMatches(vararg columns: String, inward: Boolean = true): DataFrame<T> =
@@ -235,7 +234,7 @@ public fun <T> AggregateGroupedDsl<T>.pivotMatches(vararg columns: KProperty<*>,
 
 public fun <T> AggregateGroupedDsl<T>.pivotCounts(
     inward: Boolean = true,
-    columns: ColumnsSelector<T, *>,
+    columns: PivotColumnsSelector<T, *>,
 ): DataFrame<T> = pivot(inward, columns).matches()
 
 public fun <T> AggregateGroupedDsl<T>.pivotCounts(vararg columns: String, inward: Boolean = true): DataFrame<T> =