adding from_map_to_data_row function

Author: CarloMariaProietti

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

@@ -20,8 +20,11 @@ import org.jetbrains.kotlinx.dataframe.columns.ColumnSet
 import org.jetbrains.kotlinx.dataframe.columns.FrameColumn
 import org.jetbrains.kotlinx.dataframe.columns.SingleColumn
 import org.jetbrains.kotlinx.dataframe.columns.ValueColumn
+import org.jetbrains.kotlinx.dataframe.documentation.DocumentationUrls
+import org.jetbrains.kotlinx.dataframe.impl.DataRowImpl
 import org.jetbrains.kotlinx.dataframe.impl.GroupByImpl
 import org.jetbrains.kotlinx.dataframe.impl.anyNull
+import org.jetbrains.kotlinx.dataframe.impl.api.convertToDataFrame
 import org.jetbrains.kotlinx.dataframe.impl.asList
 import org.jetbrains.kotlinx.dataframe.impl.columnName
 import org.jetbrains.kotlinx.dataframe.impl.columns.ColumnAccessorImpl
@@ -403,6 +406,11 @@ public fun <T> DataRow<T>.toDataFrame(): DataFrame<T> = owner[index..index]
 
 public fun AnyRow.toMap(): Map<String, Any?> = df().columns().associate { it.name() to it[index] }
 
+public fun Map<String, Any?>.toDataRow() : DataRow<*> {
+    val df = mapValues { listOf(it.value) }.toDataFrame()
+    return DataRowImpl(0, df)
+}
+
 // endregion
 
 // region Array