korro

Author: nikitinas

docs/StardustDocs/topics/add.md

@@ -62,8 +62,10 @@ columnMapping = column into columnName | columnName from column | columnName fro
 df.add {
     "year of birth" from 2021 - age
     age gt 18 into "is adult"
-    name.lastName.length() into "last name length"
-    "full name" from { name.firstName + " " + name.lastName }
+    "details" {
+        name.lastName.length() into "last name length"
+        "full name" from { name.firstName + " " + name.lastName }
+    }
 }
 ```
 
@@ -77,14 +79,17 @@ 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
-    lastName.length() into lastNameLength
-    fullName from { firstName() + " " + lastName() }
+    details from {
+        lastName.length() into lastNameLength
+        fullName from { firstName() + " " + lastName() }
+    }
 }
 ```
 
@@ -95,8 +100,10 @@ df.add {
 df.add {
     "year of birth" from 2021 - "age"<Int>()
     "age"<Int>() gt 18 into "is adult"
-    "name"["lastName"]<String>().length() into "last name length"
-    "full name" from { "name"["firstName"]<String>() + " " + "name"["lastName"]<String>() }
+    "details" {
+        "name"["lastName"]<String>().length() into "last name length"
+        "full name" from { "name"["firstName"]<String>() + " " + "name"["lastName"]<String>() }
+    }
 }
 ```
 

docs/StardustDocs/topics/read.md

@@ -162,7 +162,7 @@ You can fix it using convert:
 
 ```kotlin
 val df = dataFrameOf("IDS")(100.0, "A100", "B100", "C100")
-val df1 = df.convert("IDS").with(inferType = true) {
+val df1 = df.convert("IDS").with(Infer.Type) {
     if (it is Double) {
         it.toLong().toString()
     } else {

docs/StardustDocs/topics/schemas.md

@@ -187,7 +187,7 @@ After loading this library into Jupyter notebook, schema interfaces for all `Dat
 ```kotlin
 val df = dataFrameOf("name", "age")(
     "Alice", 15,
-    "Bob", null
+    "Bob", 20
 )
 ```