Hide accessors API samples from documentation

Author: koperagen

core/build.gradle.kts

@@ -316,9 +316,6 @@ korro {
         funSuffix("_properties") {
             replaceText("NAME", "Properties")
         }
-        funSuffix("_accessors") {
-            replaceText("NAME", "Accessors")
-        }
         funSuffix("_strings") {
             replaceText("NAME", "Strings")
         }

docs/StardustDocs/topics/ColumnSelectors.md

@@ -454,42 +454,6 @@ df.select { name.allCols() }
 df.select { name.colsAtAnyDepth { !it.isColumnGroup() } }
 ```
 
-</tab>
-<tab title="Accessors">
-
-```kotlin
-// by column name
-val name by columnGroup()
-df.select { it[name] }
-df.select { name }
-
-// by column path
-val firstName by name.column<String>()
-df.select { firstName }
-
-// with a new name
-df.select { name named "Full Name" }
-
-// converted
-df.select { firstName.map { it.lowercase() } }
-
-// column arithmetics
-val age by column<Int>()
-df.select { 2021 - age }
-
-// two columns
-df.select { name and age }
-
-// range of columns
-df.select { name..age }
-
-// all columns of ColumnGroup
-df.select { name.allCols() }
-
-// traversal of columns at any depth from here excluding ColumnGroups
-df.select { name.colsAtAnyDepth { !it.isColumnGroup() } }
-```
-
 </tab>
 <tab title="Strings">
 

docs/StardustDocs/topics/DataColumn.md

@@ -121,19 +121,6 @@ val fullName by column(df) { name.firstName + " " + name.lastName }
 df[fullName]
 ```
 
-</tab>
-<tab title="Accessors">
-
-```kotlin
-val name by columnGroup()
-val firstName by name.column<String>()
-val lastName by name.column<String>()
-
-val fullName by column { firstName() + " " + lastName() }
-
-df[fullName]
-```
-
 </tab>
 <tab title="Strings">
 

docs/StardustDocs/topics/add.md

@@ -24,16 +24,6 @@ rowExpression: DataRow.(DataRow) -> Value
 df.add("year of birth") { 2021 - age }
 ```
 
-</tab>
-<tab title="Accessors">
-
-```kotlin
-val age by column<Int>()
-val yearOfBirth by column<Int>("year of birth")
-
-df.add(yearOfBirth) { 2021 - age }
-```
-
 </tab>
 <tab title="Strings">
 
@@ -96,30 +86,6 @@ df.add {
 }
 ```
 
-</tab>
-<tab title="Accessors">
-
-```kotlin
-val yob = column<Int>("year of birth")
-val lastNameLength = column<Int>("last name length")
-val age by column<Int>()
-val isAdult = column<Boolean>("is adult")
-val fullName = column<String>("full name")
-val name by columnGroup()
-val details by columnGroup()
-val firstName by name.column<String>()
-val lastName by name.column<String>()
-
-df.add {
-    yob from 2021 - age
-    age gt 18 into isAdult
-    details from {
-        lastName.length() into lastNameLength
-        fullName from { firstName() + " " + lastName() }
-    }
-}
-```
-
 </tab>
 <tab title="Strings">
 
@@ -168,20 +134,6 @@ val personWithCityInfo = df.add {
 }
 ```
 
-</tab>
-<tab title="Accessors">
-
-```kotlin
-val city by column<String?>()
-val personWithCityInfo = df.add {
-    val cityInfo = city().map { queryCityInfo(it) }
-    "cityInfo" {
-        cityInfo.map { it.location } into CityInfo::location
-        cityInfo.map { it.population } into "population"
-    }
-}
-```
-
 </tab>
 <tab title="Strings">
 

docs/StardustDocs/topics/countDistinct.md

@@ -12,15 +12,6 @@ Returns number of distinct combinations of values in selected columns of [`DataF
 df.countDistinct { age and name }
 ```
 
-</tab>
-<tab title="Accessors">
-
-```kotlin
-val age by column<Int>()
-val name by columnGroup()
-df.countDistinct { age and name }
-```
-
 </tab>
 <tab title="Strings">
 

docs/StardustDocs/topics/describe.md

@@ -50,16 +50,6 @@ To describe only specific columns, pass them as an argument:
 df.describe { age and name.allCols() }
 ```
 
-</tab>
-<tab title="Accessors">
-
-```kotlin
-val age by column<Int>()
-val name by columnGroup()
-
-df.describe { age and name.allCols() }
-```
-
 </tab>
 <tab title="Strings">
 

docs/StardustDocs/topics/distinct.md

@@ -26,17 +26,6 @@ df.distinct { age and name }
 df.select { age and name }.distinct()
 ```
 
-</tab>
-<tab title="Accessors">
-
-```kotlin
-val age by column<Int>()
-val name by columnGroup()
-df.distinct { age and name }
-// same as
-df.select { age and name }.distinct()
-```
-
 </tab>
 <tab title="Strings">
 
@@ -64,19 +53,6 @@ df.distinctBy { age and name }
 df.groupBy { age and name }.mapToRows { group.first() }
 ```
 
-</tab>
-<tab title="Accessors">
-
-```kotlin
-val age by column<Int>()
-val name by columnGroup()
-val firstName by name.column<String>()
-
-df.distinctBy { age and name }
-// same as
-df.groupBy { age and name }.mapToRows { group.first() }
-```
-
 </tab>
 <tab title="Strings">
 

docs/StardustDocs/topics/drop.md

@@ -12,19 +12,6 @@ Removes all rows that satisfy [row condition](DataRow.md#row-conditions)
 df.drop { weight == null || city == null }
 ```
 
-</tab>
-<tab title="Accessors">
-
-```kotlin
-val name by columnGroup()
-val weight by column<Int?>()
-val city by column<String?>()
-
-df.drop { weight() == null || city() == null }
-// or
-df.drop { it[weight] == null || it[city] == null }
-```
-
 </tab>
 <tab title="Strings">
 

docs/StardustDocs/topics/explode.md

@@ -28,18 +28,6 @@ Explode [`DataFrame`](DataFrame.md):
 
 <!---FUN explode-->
 <tabs>
-<tab title="Accessors">
-
-```kotlin
-val a by columnOf(1, 2)
-val b by columnOf(listOf(1, 2), listOf(3, 4))
-
-val df = dataFrameOf(a, b)
-
-df.explode { b }
-```
-
-</tab>
 <tab title="Strings">
 
 ```kotlin

docs/StardustDocs/topics/filter.md

@@ -12,19 +12,6 @@ Returns [`DataFrame`](DataFrame.md) with rows that satisfy [row condition](DataR
 df.filter { age > 18 && name.firstName.startsWith("A") }
 ```
 
-</tab>
-<tab title="Accessors">
-
-```kotlin
-val age by column<Int>()
-val name by columnGroup()
-val firstName by name.column<String>()
-
-df.filter { age() > 18 && firstName().startsWith("A") }
-// or
-df.filter { it[age] > 18 && it[firstName].startsWith("A") }
-```
-
 </tab>
 <tab title="Strings">
 
@@ -48,14 +35,6 @@ Returns [`DataFrame`](DataFrame.md) with rows that have value `true` in given co
 df.filterBy { isHappy }
 ```
 
-</tab>
-<tab title="Accessors">
-
-```kotlin
-val isHappy by column<Boolean>()
-df.filterBy { isHappy }
-```
-
 </tab>
 <tab title="Strings">