moved BasicStats.std

Author: Jolanrensen

core/api/core.api

@@ -4131,11 +4131,13 @@ public final class org/jetbrains/kotlinx/dataframe/api/SumKt {
 	public static synthetic fun sumFor$default (Lorg/jetbrains/kotlinx/dataframe/api/PivotGroupBy;[Lorg/jetbrains/kotlinx/dataframe/columns/ColumnReference;ZZILjava/lang/Object;)Lorg/jetbrains/kotlinx/dataframe/DataFrame;
 	public static final synthetic fun sumNumber (Lorg/jetbrains/kotlinx/dataframe/DataColumn;)Ljava/lang/Number;
 	public static final fun sumNumber (Lorg/jetbrains/kotlinx/dataframe/DataColumn;Z)Ljava/lang/Number;
+	public static final fun sumNumber (Lorg/jetbrains/kotlinx/dataframe/DataFrame;ZLkotlin/jvm/functions/Function2;)Ljava/lang/Number;
+	public static final fun sumNumber (Lorg/jetbrains/kotlinx/dataframe/DataFrame;Z[Lkotlin/reflect/KProperty;)Ljava/lang/Number;
+	public static final fun sumNumber (Lorg/jetbrains/kotlinx/dataframe/DataFrame;[Lorg/jetbrains/kotlinx/dataframe/columns/ColumnReference;Z)Ljava/lang/Number;
 	public static synthetic fun sumNumber$default (Lorg/jetbrains/kotlinx/dataframe/DataColumn;ZILjava/lang/Object;)Ljava/lang/Number;
-	public static final fun sumOfByte (Lorg/jetbrains/kotlinx/dataframe/DataColumn;Lkotlin/jvm/functions/Function1;)I
-	public static final fun sumOfByte (Lorg/jetbrains/kotlinx/dataframe/DataFrame;Lkotlin/jvm/functions/Function2;)I
-	public static final fun sumOfShort (Lorg/jetbrains/kotlinx/dataframe/DataColumn;Lkotlin/jvm/functions/Function1;)I
-	public static final fun sumOfShort (Lorg/jetbrains/kotlinx/dataframe/DataFrame;Lkotlin/jvm/functions/Function2;)I
+	public static synthetic fun sumNumber$default (Lorg/jetbrains/kotlinx/dataframe/DataFrame;ZLkotlin/jvm/functions/Function2;ILjava/lang/Object;)Ljava/lang/Number;
+	public static synthetic fun sumNumber$default (Lorg/jetbrains/kotlinx/dataframe/DataFrame;Z[Lkotlin/reflect/KProperty;ILjava/lang/Object;)Ljava/lang/Number;
+	public static synthetic fun sumNumber$default (Lorg/jetbrains/kotlinx/dataframe/DataFrame;[Lorg/jetbrains/kotlinx/dataframe/columns/ColumnReference;ZILjava/lang/Object;)Ljava/lang/Number;
 	public static final fun sumShort (Lorg/jetbrains/kotlinx/dataframe/DataColumn;)I
 	public static final fun sumShort (Lorg/jetbrains/kotlinx/dataframe/DataFrame;Lkotlin/jvm/functions/Function2;)I
 	public static final fun sumShort (Lorg/jetbrains/kotlinx/dataframe/DataFrame;[Lkotlin/reflect/KProperty;)I
@@ -6446,8 +6448,7 @@ public final class org/jetbrains/kotlinx/dataframe/math/PercentileKt {
 }
 
 public final class org/jetbrains/kotlinx/dataframe/math/StdKt {
-	public static final fun std (Ljava/lang/Iterable;Lkotlin/reflect/KType;ZI)D
-	public static synthetic fun std$default (Ljava/lang/Iterable;Lkotlin/reflect/KType;ZIILjava/lang/Object;)D
+	public static final fun std (Lkotlin/sequences/Sequence;Lkotlin/reflect/KType;ZI)D
 }
 
 public final class org/jetbrains/kotlinx/dataframe/math/SumKt {

core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/math/basicStats.kt

@@ -2,26 +2,10 @@
 
 package org.jetbrains.kotlinx.dataframe.math
 
-import org.jetbrains.kotlinx.dataframe.api.ddof_default
 import org.jetbrains.kotlinx.dataframe.api.skipNaN_default
-import kotlin.math.sqrt
 
 internal data class BasicStats(val count: Int, val mean: Double, val variance: Double)
 
-/**
- * Calculates the standard deviation from a [BasicStats] with optional delta degrees of freedom.
- *
- * @param ddof delta degrees of freedom, the bias-correction of std.
- *   Default is [ddof_default], so `ddof = 1`, the "unbiased sample standard deviation", but alternatively,
- *   the "population standard deviation", so `ddof = 0`, can be used.
- */
-internal fun BasicStats.std(ddof: Int): Double =
-    if (count <= ddof) {
-        Double.NaN
-    } else {
-        sqrt(variance / (count - ddof))
-    }
-
 /**
  * Creates [BasicStats] instance for [this] sequence.
  *

core/src/main/kotlin/org/jetbrains/kotlinx/dataframe/math/std.kt

@@ -8,6 +8,7 @@ import org.jetbrains.kotlinx.dataframe.impl.nothingType
 import org.jetbrains.kotlinx.dataframe.impl.renderType
 import java.math.BigDecimal
 import java.math.BigInteger
+import kotlin.math.sqrt
 import kotlin.reflect.KType
 import kotlin.reflect.typeOf
 
@@ -67,3 +68,17 @@ internal val stdTypeConversion: CalculateReturnType = { _, _ ->
 @JvmName("doubleStd")
 internal fun Sequence<Double>.std(skipNaN: Boolean = skipNaN_default, ddof: Int = ddof_default): Double =
     calculateBasicStatsOrNull(skipNaN)?.std(ddof) ?: Double.NaN
+
+/**
+ * Calculates the standard deviation from a [BasicStats] with optional delta degrees of freedom.
+ *
+ * @param ddof delta degrees of freedom, the bias-correction of std.
+ *   Default is [ddof_default], so `ddof = 1`, the "unbiased sample standard deviation", but alternatively,
+ *   the "population standard deviation", so `ddof = 0`, can be used.
+ */
+internal fun BasicStats.std(ddof: Int): Double =
+    if (count <= ddof) {
+        Double.NaN
+    } else {
+        sqrt(variance / (count - ddof))
+    }