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Original file line number Diff line number Diff line change
@@ -73,6 +73,7 @@ import org.jetbrains.kotlinx.dataframe.api.remove
import org.jetbrains.kotlinx.dataframe.api.rename
import org.jetbrains.kotlinx.dataframe.api.reorder
import org.jetbrains.kotlinx.dataframe.api.replace
import org.jetbrains.kotlinx.dataframe.api.replaceAll
import org.jetbrains.kotlinx.dataframe.api.reverse
import org.jetbrains.kotlinx.dataframe.api.schema
import org.jetbrains.kotlinx.dataframe.api.select
@@ -174,6 +175,18 @@ class Modify : TestBase() {
// SampleEnd
}

@Test
@TransformDataFrameExpressions
fun replaceAll() {
// SampleStart
functions.replaceAll(
"DataFrame<*>" to "DataFrame",
"DataRow<*>" to "DataRow",
"AnyRow" to "DataRow",
) { receiverType and returnType }
// SampleEnd
}

@Test
@TransformDataFrameExpressions
fun convert() {
Original file line number Diff line number Diff line change
@@ -3,6 +3,7 @@ package org.jetbrains.kotlinx.dataframe.samples.api
import io.kotest.matchers.should
import io.kotest.matchers.shouldBe
import io.kotest.matchers.shouldNotBe
import org.jetbrains.kotlinx.dataframe.DataFrame
import org.jetbrains.kotlinx.dataframe.DataRow
import org.jetbrains.kotlinx.dataframe.annotations.DataSchema
import org.jetbrains.kotlinx.dataframe.api.asColumnGroup
@@ -18,6 +19,7 @@ import org.jetbrains.kotlinx.dataframe.api.to
import org.jetbrains.kotlinx.dataframe.columns.ColumnWithPath
import org.jetbrains.kotlinx.dataframe.explainer.PluginCallbackProxy
import org.jetbrains.kotlinx.dataframe.impl.columns.asValueColumn
import org.jetbrains.kotlinx.dataframe.io.readJsonStr
import org.junit.After
import org.junit.Before

@@ -108,6 +110,113 @@ public open class TestBase {

infix fun <T, U : T> T.willBe(expected: U?) = shouldBe(expected)

@DataSchema
interface Functions {
val receiverType: String
val name: String
val parameters: List<String>
val returnType: String
}

val functions = DataFrame.readJsonStr("""
[{
"receiverType": "DataRow<*>",
"name": "rowStd",
"parameters": ["skipNA: Boolean = skipNA_default", "ddof: Int = ddof_default"],
"returnType": "Double"
}, {
"receiverType": "DataRow<*>",
"name": "rowStdOf",
"parameters": ["ddof: Int = ddof_default"],
"returnType": "Double"
}, {
"receiverType": "DataFrame",
"name": "stdFor",
"parameters": ["skipNA: Boolean = skipNA_default", "ddof: Int = ddof_default", "columns: ColumnsForAggregateSelector<T, Number?>"],
"returnType": "DataRow"
}, {
"receiverType": "DataFrame",
"name": "replace",
"parameters": ["columns: ColumnsSelector<T, C>"],
"returnType": "ReplaceClause"
}, {
"receiverType": "DataFrame",
"name": "copy",
"parameters": [],
"returnType": "DataFrame"
},{
"receiverType": "AnyRow",
"name": "transposeTo",
"parameters": [],
"returnType": "DataFrame"
}, {
"receiverType": "DataFrame",
"name": "tail",
"parameters": ["numRows: Int = 5"],
"returnType": "DataFrame"
}, {
"receiverType": "DataFrame",
"name": "mapToFrame",
"parameters": ["body: AddDsl<T>.() -> Unit"],
"returnType": "AnyFrame"
}, {
"receiverType": "DataFrame",
"name": "asGroupBy",
"parameters": ["groupedColumnName: String"],
"returnType": "GroupBy"
}, {
"receiverType": "DataFrame",
"name": "select",
"parameters": ["columns: ColumnsSelector<T, *>"],
"returnType": "DataFrame"
}, {
"receiverType": "DataFrame",
"name": "split",
"parameters": ["columns: ColumnsSelector<T, C?>"],
"returnType": "Split"
}, {
"receiverType": "DataRow<*>",
"name": "allNA",
"parameters": [],
"returnType": "Boolean"
}, {
"receiverType": "DataRow<*>",
"name": "rowMean",
"parameters": ["skipNA: Boolean = skipNA_default"],
"returnType": "Double"
}, {
"receiverType": "DataRow<*>",
"name": "rowMeanOf",
"parameters": [],
"returnType": "Double"
}, {
"receiverType": "DataFrame",
"name": "meanFor",
"parameters": ["skipNA: Boolean = skipNA_default", "columns: ColumnsForAggregateSelector<T, C?>"],
"returnType": "DataRow"
}, {
"receiverType": "DataFrame",
"name": "fillNulls",
"parameters": ["columns: ColumnsSelector<T, C?>"],
"returnType": "Update"
}, {
"receiverType": "DataFrame",
"name": "fillNaNs",
"parameters": ["columns: ColumnsSelector<T, C>"],
"returnType": "Update"
}, {
"receiverType": "DataFrame",
"name": "fillNA",
"parameters": ["columns: ColumnsSelector<T, C?>"],
"returnType": "Update"
}, {
"receiverType": "DataFrame<*>",
"name": "toListOf",
"parameters": [],
"returnType": "List<T>"
}]
""".trimIndent()).cast<Functions>(verify = true)

/**
* Asserts that all elements of the iterable are equal to each other
*/
Original file line number Diff line number Diff line change
@@ -73,6 +73,7 @@ import org.jetbrains.kotlinx.dataframe.api.remove
import org.jetbrains.kotlinx.dataframe.api.rename
import org.jetbrains.kotlinx.dataframe.api.reorder
import org.jetbrains.kotlinx.dataframe.api.replace
import org.jetbrains.kotlinx.dataframe.api.replaceAll
import org.jetbrains.kotlinx.dataframe.api.reverse
import org.jetbrains.kotlinx.dataframe.api.schema
import org.jetbrains.kotlinx.dataframe.api.select
@@ -174,6 +175,18 @@ class Modify : TestBase() {
// SampleEnd
}

@Test
@TransformDataFrameExpressions
fun replaceAll() {
// SampleStart
functions.replaceAll(
"DataFrame<*>" to "DataFrame",
"DataRow<*>" to "DataRow",
"AnyRow" to "DataRow",
) { receiverType and returnType }
// SampleEnd
}

@Test
@TransformDataFrameExpressions
fun convert() {
Original file line number Diff line number Diff line change
@@ -3,6 +3,7 @@ package org.jetbrains.kotlinx.dataframe.samples.api
import io.kotest.matchers.should
import io.kotest.matchers.shouldBe
import io.kotest.matchers.shouldNotBe
import org.jetbrains.kotlinx.dataframe.DataFrame
import org.jetbrains.kotlinx.dataframe.DataRow
import org.jetbrains.kotlinx.dataframe.annotations.DataSchema
import org.jetbrains.kotlinx.dataframe.api.asColumnGroup
@@ -18,6 +19,7 @@ import org.jetbrains.kotlinx.dataframe.api.to
import org.jetbrains.kotlinx.dataframe.columns.ColumnWithPath
import org.jetbrains.kotlinx.dataframe.explainer.PluginCallbackProxy
import org.jetbrains.kotlinx.dataframe.impl.columns.asValueColumn
import org.jetbrains.kotlinx.dataframe.io.readJsonStr
import org.junit.After
import org.junit.Before

@@ -108,6 +110,115 @@ public open class TestBase {

infix fun <T, U : T> T.willBe(expected: U?) = shouldBe(expected)

@DataSchema
interface Functions {
val receiverType: String
val name: String
val parameters: List<String>
val returnType: String
}

val functions = DataFrame.readJsonStr(
"""
[{
"receiverType": "DataRow<*>",
"name": "rowStd",
"parameters": ["skipNA: Boolean = skipNA_default", "ddof: Int = ddof_default"],
"returnType": "Double"
}, {
"receiverType": "DataRow<*>",
"name": "rowStdOf",
"parameters": ["ddof: Int = ddof_default"],
"returnType": "Double"
}, {
"receiverType": "DataFrame",
"name": "stdFor",
"parameters": ["skipNA: Boolean = skipNA_default", "ddof: Int = ddof_default", "columns: ColumnsForAggregateSelector<T, Number?>"],
"returnType": "DataRow"
}, {
"receiverType": "DataFrame",
"name": "replace",
"parameters": ["columns: ColumnsSelector<T, C>"],
"returnType": "ReplaceClause"
}, {
"receiverType": "DataFrame",
"name": "copy",
"parameters": [],
"returnType": "DataFrame"
},{
"receiverType": "AnyRow",
"name": "transposeTo",
"parameters": [],
"returnType": "DataFrame"
}, {
"receiverType": "DataFrame",
"name": "tail",
"parameters": ["numRows: Int = 5"],
"returnType": "DataFrame"
}, {
"receiverType": "DataFrame",
"name": "mapToFrame",
"parameters": ["body: AddDsl<T>.() -> Unit"],
"returnType": "AnyFrame"
}, {
"receiverType": "DataFrame",
"name": "asGroupBy",
"parameters": ["groupedColumnName: String"],
"returnType": "GroupBy"
}, {
"receiverType": "DataFrame",
"name": "select",
"parameters": ["columns: ColumnsSelector<T, *>"],
"returnType": "DataFrame"
}, {
"receiverType": "DataFrame",
"name": "split",
"parameters": ["columns: ColumnsSelector<T, C?>"],
"returnType": "Split"
}, {
"receiverType": "DataRow<*>",
"name": "allNA",
"parameters": [],
"returnType": "Boolean"
}, {
"receiverType": "DataRow<*>",
"name": "rowMean",
"parameters": ["skipNA: Boolean = skipNA_default"],
"returnType": "Double"
}, {
"receiverType": "DataRow<*>",
"name": "rowMeanOf",
"parameters": [],
"returnType": "Double"
}, {
"receiverType": "DataFrame",
"name": "meanFor",
"parameters": ["skipNA: Boolean = skipNA_default", "columns: ColumnsForAggregateSelector<T, C?>"],
"returnType": "DataRow"
}, {
"receiverType": "DataFrame",
"name": "fillNulls",
"parameters": ["columns: ColumnsSelector<T, C?>"],
"returnType": "Update"
}, {
"receiverType": "DataFrame",
"name": "fillNaNs",
"parameters": ["columns: ColumnsSelector<T, C>"],
"returnType": "Update"
}, {
"receiverType": "DataFrame",
"name": "fillNA",
"parameters": ["columns: ColumnsSelector<T, C?>"],
"returnType": "Update"
}, {
"receiverType": "DataFrame<*>",
"name": "toListOf",
"parameters": [],
"returnType": "List<T>"
}]
""".trimIndent()
).cast<Functions>(verify = true)

/**
* Asserts that all elements of the iterable are equal to each other
*/
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