valueCol

Value Col

Creates a ColumnAccessor (or SingleColumn) for a value column with the given argument which can be either an index (Int) or a reference to a column (String, ColumnPath, KProperty, or ColumnAccessor; any Access APIs).

This is a DSL-shorthand for valueColumn and can be both typed and untyped (in case you're supplying a column name, -path, or index). In addition, extra runtime checks are in place to ensure that the column you specify is actually a value column. The function can also be called on ColumnGroups to create an accessor for a value column inside a ColumnGroup.

For more information: See valueCol on the documentation website.

Check out: Grammar

For example:

df.select{ valueCol<String>("valueColA") }

df.select{ valueCol(SomeType::valueColB) }

df.select{ myColumnGroup.valueCol(1) }

Examples for this overload:

df.select{ myColumnGroup.valueCol(valueColumnA) }

To create a ColumnAccessor for another kind of column, take a look at the functions col, colGroup, and frameCol.

Parameters

Type Parameters

See also

Throws

Value Col

Creates a ColumnAccessor (or SingleColumn) for a value column with the given argument which can be either an index (Int) or a reference to a column (String, ColumnPath, KProperty, or ColumnAccessor; any Access APIs).

This is a DSL-shorthand for valueColumn and can be both typed and untyped (in case you're supplying a column name, -path, or index). In addition, extra runtime checks are in place to ensure that the column you specify is actually a value column. The function can also be called on ColumnGroups to create an accessor for a value column inside a ColumnGroup.

For more information: See valueCol on the documentation website.

Check out: Grammar

For example:

df.select{ valueCol<String>("valueColA") }

df.select{ valueCol(SomeType::valueColB) }

df.select{ myColumnGroup.valueCol(1) }

Examples for this overload:

df.select{ "myColumnGroup".valueCol(valueColumnA) }

To create a ColumnAccessor for another kind of column, take a look at the functions col, colGroup, and frameCol.

Parameters

Type Parameters

See also

Throws

Value Col

Creates a ColumnAccessor (or SingleColumn) for a value column with the given argument which can be either an index (Int) or a reference to a column (String, ColumnPath, KProperty, or ColumnAccessor; any Access APIs).

This is a DSL-shorthand for valueColumn and can be both typed and untyped (in case you're supplying a column name, -path, or index). In addition, extra runtime checks are in place to ensure that the column you specify is actually a value column. The function can also be called on ColumnGroups to create an accessor for a value column inside a ColumnGroup.

For more information: See valueCol on the documentation website.

Check out: Grammar

For example:

df.select{ valueCol<String>("valueColA") }

df.select{ valueCol(SomeType::valueColB) }

df.select{ myColumnGroup.valueCol(1) }

Examples for this overload:

df.select{ "pathTo"["myColumnGroup"].valueCol(valueColumnA) }

To create a ColumnAccessor for another kind of column, take a look at the functions col, colGroup, and frameCol.

Parameters

Type Parameters

See also

Throws

Value Col

Creates a ColumnAccessor (or SingleColumn) for a value column with the given argument which can be either an index (Int) or a reference to a column (String, ColumnPath, KProperty, or ColumnAccessor; any Access APIs).

This is a DSL-shorthand for valueColumn and can be both typed and untyped (in case you're supplying a column name, -path, or index). In addition, extra runtime checks are in place to ensure that the column you specify is actually a value column. The function can also be called on ColumnGroups to create an accessor for a value column inside a ColumnGroup.

For more information: See valueCol on the documentation website.

Check out: Grammar

For example:

df.select{ valueCol<String>("valueColA") }

df.select{ valueCol(SomeType::valueColB) }

df.select{ myColumnGroup.valueCol(1) }

Examples for this overload:

df.select{ valueCol("valueColumnName") }

df.select{ valueCol<String>("valueColumnName") }

To create a ColumnAccessor for another kind of column, take a look at the functions col, colGroup, and frameCol.

Parameters

See also

Throws

Value Col

Creates a ColumnAccessor (or SingleColumn) for a value column with the given argument which can be either an index (Int) or a reference to a column (String, ColumnPath, KProperty, or ColumnAccessor; any Access APIs).

This is a DSL-shorthand for valueColumn and can be both typed and untyped (in case you're supplying a column name, -path, or index). In addition, extra runtime checks are in place to ensure that the column you specify is actually a value column. The function can also be called on ColumnGroups to create an accessor for a value column inside a ColumnGroup.

For more information: See valueCol on the documentation website.

Check out: Grammar

For example:

df.select{ valueCol<String>("valueColA") }

df.select{ valueCol(SomeType::valueColB) }

df.select{ myColumnGroup.valueCol(1) }

Examples for this overload:

df.select{ valueCol("valueColumnName") }

df.select{ valueCol<String>("valueColumnName") }

To create a ColumnAccessor for another kind of column, take a look at the functions col, colGroup, and frameCol.

Parameters

Type Parameters

See also

Throws

Value Col

Creates a ColumnAccessor (or SingleColumn) for a value column with the given argument which can be either an index (Int) or a reference to a column (String, ColumnPath, KProperty, or ColumnAccessor; any Access APIs).

This is a DSL-shorthand for valueColumn and can be both typed and untyped (in case you're supplying a column name, -path, or index). In addition, extra runtime checks are in place to ensure that the column you specify is actually a value column. The function can also be called on ColumnGroups to create an accessor for a value column inside a ColumnGroup.

For more information: See valueCol on the documentation website.

Check out: Grammar

For example:

df.select{ valueCol<String>("valueColA") }

df.select{ valueCol(SomeType::valueColB) }

df.select{ myColumnGroup.valueCol(1) }

Examples for this overload:

df.select{ myColumnGroup.valueCol("valueColumnName") }

df.select{ myColumnGroup.valueCol<String>("valueColumnName") }

To create a ColumnAccessor for another kind of column, take a look at the functions col, colGroup, and frameCol.

Parameters

See also

Throws

Value Col

Creates a ColumnAccessor (or SingleColumn) for a value column with the given argument which can be either an index (Int) or a reference to a column (String, ColumnPath, KProperty, or ColumnAccessor; any Access APIs).

This is a DSL-shorthand for valueColumn and can be both typed and untyped (in case you're supplying a column name, -path, or index). In addition, extra runtime checks are in place to ensure that the column you specify is actually a value column. The function can also be called on ColumnGroups to create an accessor for a value column inside a ColumnGroup.

For more information: See valueCol on the documentation website.

Check out: Grammar

For example:

df.select{ valueCol<String>("valueColA") }

df.select{ valueCol(SomeType::valueColB) }

df.select{ myColumnGroup.valueCol(1) }

Examples for this overload:

df.select{ myColumnGroup.valueCol("valueColumnName") }

df.select{ myColumnGroup.valueCol<String>("valueColumnName") }

To create a ColumnAccessor for another kind of column, take a look at the functions col, colGroup, and frameCol.

Parameters

Type Parameters

See also

Throws

Value Col

Creates a ColumnAccessor (or SingleColumn) for a value column with the given argument which can be either an index (Int) or a reference to a column (String, ColumnPath, KProperty, or ColumnAccessor; any Access APIs).

This is a DSL-shorthand for valueColumn and can be both typed and untyped (in case you're supplying a column name, -path, or index). In addition, extra runtime checks are in place to ensure that the column you specify is actually a value column. The function can also be called on ColumnGroups to create an accessor for a value column inside a ColumnGroup.

For more information: See valueCol on the documentation website.

Check out: Grammar

For example:

df.select{ valueCol<String>("valueColA") }

df.select{ valueCol(SomeType::valueColB) }

df.select{ myColumnGroup.valueCol(1) }

Examples for this overload:

df.select{ "myColumnGroup".valueCol("valueColumnName") }

df.select{ "myColumnGroup".valueCol<String>("valueColumnName") }

To create a ColumnAccessor for another kind of column, take a look at the functions col, colGroup, and frameCol.

Parameters

See also

Throws

Value Col

Creates a ColumnAccessor (or SingleColumn) for a value column with the given argument which can be either an index (Int) or a reference to a column (String, ColumnPath, KProperty, or ColumnAccessor; any Access APIs).

This is a DSL-shorthand for valueColumn and can be both typed and untyped (in case you're supplying a column name, -path, or index). In addition, extra runtime checks are in place to ensure that the column you specify is actually a value column. The function can also be called on ColumnGroups to create an accessor for a value column inside a ColumnGroup.

For more information: See valueCol on the documentation website.

Check out: Grammar

For example:

df.select{ valueCol<String>("valueColA") }

df.select{ valueCol(SomeType::valueColB) }

df.select{ myColumnGroup.valueCol(1) }

Examples for this overload:

df.select{ "myColumnGroup".valueCol("valueColumnName") }

df.select{ "myColumnGroup".valueCol<String>("valueColumnName") }

To create a ColumnAccessor for another kind of column, take a look at the functions col, colGroup, and frameCol.

Parameters

Type Parameters

See also

Throws

Value Col

Creates a ColumnAccessor (or SingleColumn) for a value column with the given argument which can be either an index (Int) or a reference to a column (String, ColumnPath, KProperty, or ColumnAccessor; any Access APIs).

This is a DSL-shorthand for valueColumn and can be both typed and untyped (in case you're supplying a column name, -path, or index). In addition, extra runtime checks are in place to ensure that the column you specify is actually a value column. The function can also be called on ColumnGroups to create an accessor for a value column inside a ColumnGroup.

For more information: See valueCol on the documentation website.

Check out: Grammar

For example:

df.select{ valueCol<String>("valueColA") }

df.select{ valueCol(SomeType::valueColB) }

df.select{ myColumnGroup.valueCol(1) }

Examples for this overload:

df.select{ "pathTo"["myColumnGroup"].valueCol("valueColumnName") }

df.select{ "pathTo"["myColumnGroup"].valueCol<String>("valueColumnName") }

To create a ColumnAccessor for another kind of column, take a look at the functions col, colGroup, and frameCol.

Parameters

See also

Throws

Value Col

Creates a ColumnAccessor (or SingleColumn) for a value column with the given argument which can be either an index (Int) or a reference to a column (String, ColumnPath, KProperty, or ColumnAccessor; any Access APIs).

This is a DSL-shorthand for valueColumn and can be both typed and untyped (in case you're supplying a column name, -path, or index). In addition, extra runtime checks are in place to ensure that the column you specify is actually a value column. The function can also be called on ColumnGroups to create an accessor for a value column inside a ColumnGroup.

For more information: See valueCol on the documentation website.

Check out: Grammar

For example:

df.select{ valueCol<String>("valueColA") }

df.select{ valueCol(SomeType::valueColB) }

df.select{ myColumnGroup.valueCol(1) }

Examples for this overload:

df.select{ "pathTo"["myColumnGroup"].valueCol("valueColumnName") }

df.select{ "pathTo"["myColumnGroup"].valueCol<String>("valueColumnName") }

To create a ColumnAccessor for another kind of column, take a look at the functions col, colGroup, and frameCol.

Parameters

Type Parameters

See also

Throws

Value Col

Creates a ColumnAccessor (or SingleColumn) for a value column with the given argument which can be either an index (Int) or a reference to a column (String, ColumnPath, KProperty, or ColumnAccessor; any Access APIs).

This is a DSL-shorthand for valueColumn and can be both typed and untyped (in case you're supplying a column name, -path, or index). In addition, extra runtime checks are in place to ensure that the column you specify is actually a value column. The function can also be called on ColumnGroups to create an accessor for a value column inside a ColumnGroup.

For more information: See valueCol on the documentation website.

Check out: Grammar

For example:

df.select{ valueCol<String>("valueColA") }

df.select{ valueCol(SomeType::valueColB) }

df.select{ myColumnGroup.valueCol(1) }

Examples for this overload:

df.select{ valueCol("pathTo"["valueColumnName"] ) }

df.select{ valueCol<String>("pathTo"["valueColumnName"] ) }

To create a ColumnAccessor for another kind of column, take a look at the functions col, colGroup, and frameCol.

Parameters

See also

Throws

Value Col

Creates a ColumnAccessor (or SingleColumn) for a value column with the given argument which can be either an index (Int) or a reference to a column (String, ColumnPath, KProperty, or ColumnAccessor; any Access APIs).

This is a DSL-shorthand for valueColumn and can be both typed and untyped (in case you're supplying a column name, -path, or index). In addition, extra runtime checks are in place to ensure that the column you specify is actually a value column. The function can also be called on ColumnGroups to create an accessor for a value column inside a ColumnGroup.

For more information: See valueCol on the documentation website.

Check out: Grammar

For example:

df.select{ valueCol<String>("valueColA") }

df.select{ valueCol(SomeType::valueColB) }

df.select{ myColumnGroup.valueCol(1) }

Examples for this overload:

df.select{ valueCol("pathTo"["valueColumnName"] ) }

df.select{ valueCol<String>("pathTo"["valueColumnName"] ) }

To create a ColumnAccessor for another kind of column, take a look at the functions col, colGroup, and frameCol.

Parameters

Type Parameters

See also

Throws

Value Col

Creates a ColumnAccessor (or SingleColumn) for a value column with the given argument which can be either an index (Int) or a reference to a column (String, ColumnPath, KProperty, or ColumnAccessor; any Access APIs).

This is a DSL-shorthand for valueColumn and can be both typed and untyped (in case you're supplying a column name, -path, or index). In addition, extra runtime checks are in place to ensure that the column you specify is actually a value column. The function can also be called on ColumnGroups to create an accessor for a value column inside a ColumnGroup.

For more information: See valueCol on the documentation website.

Check out: Grammar

For example:

df.select{ valueCol<String>("valueColA") }

df.select{ valueCol(SomeType::valueColB) }

df.select{ myColumnGroup.valueCol(1) }

Examples for this overload:

df.select{ myColumnGroup.valueCol("pathTo"["valueColumnName"] ) }

df.select{ myColumnGroup.valueCol<String>("pathTo"["valueColumnName"] ) }

To create a ColumnAccessor for another kind of column, take a look at the functions col, colGroup, and frameCol.

Parameters

See also

Throws

Value Col

Creates a ColumnAccessor (or SingleColumn) for a value column with the given argument which can be either an index (Int) or a reference to a column (String, ColumnPath, KProperty, or ColumnAccessor; any Access APIs).

This is a DSL-shorthand for valueColumn and can be both typed and untyped (in case you're supplying a column name, -path, or index). In addition, extra runtime checks are in place to ensure that the column you specify is actually a value column. The function can also be called on ColumnGroups to create an accessor for a value column inside a ColumnGroup.

For more information: See valueCol on the documentation website.

Check out: Grammar

For example:

df.select{ valueCol<String>("valueColA") }

df.select{ valueCol(SomeType::valueColB) }

df.select{ myColumnGroup.valueCol(1) }

Examples for this overload:

df.select{ myColumnGroup.valueCol("pathTo"["valueColumnName"] ) }

df.select{ myColumnGroup.valueCol<String>("pathTo"["valueColumnName"] ) }

To create a ColumnAccessor for another kind of column, take a look at the functions col, colGroup, and frameCol.

Parameters

Type Parameters

See also

Throws

Value Col

Creates a ColumnAccessor (or SingleColumn) for a value column with the given argument which can be either an index (Int) or a reference to a column (String, ColumnPath, KProperty, or ColumnAccessor; any Access APIs).

This is a DSL-shorthand for valueColumn and can be both typed and untyped (in case you're supplying a column name, -path, or index). In addition, extra runtime checks are in place to ensure that the column you specify is actually a value column. The function can also be called on ColumnGroups to create an accessor for a value column inside a ColumnGroup.

For more information: See valueCol on the documentation website.

Check out: Grammar

For example:

df.select{ valueCol<String>("valueColA") }

df.select{ valueCol(SomeType::valueColB) }

df.select{ myColumnGroup.valueCol(1) }

Examples for this overload:

df.select{ "myColumnGroup".valueCol("pathTo"["valueColumnName"] ) }

df.select{ "myColumnGroup".valueCol<String>("pathTo"["valueColumnName"] ) }

To create a ColumnAccessor for another kind of column, take a look at the functions col, colGroup, and frameCol.

Parameters

See also

Throws

Value Col

Creates a ColumnAccessor (or SingleColumn) for a value column with the given argument which can be either an index (Int) or a reference to a column (String, ColumnPath, KProperty, or ColumnAccessor; any Access APIs).

This is a DSL-shorthand for valueColumn and can be both typed and untyped (in case you're supplying a column name, -path, or index). In addition, extra runtime checks are in place to ensure that the column you specify is actually a value column. The function can also be called on ColumnGroups to create an accessor for a value column inside a ColumnGroup.

For more information: See valueCol on the documentation website.

Check out: Grammar

For example:

df.select{ valueCol<String>("valueColA") }

df.select{ valueCol(SomeType::valueColB) }

df.select{ myColumnGroup.valueCol(1) }

Examples for this overload:

df.select{ "myColumnGroup".valueCol("pathTo"["valueColumnName"] ) }

df.select{ "myColumnGroup".valueCol<String>("pathTo"["valueColumnName"] ) }

To create a ColumnAccessor for another kind of column, take a look at the functions col, colGroup, and frameCol.

Parameters

Type Parameters

See also

Throws

Value Col

Creates a ColumnAccessor (or SingleColumn) for a value column with the given argument which can be either an index (Int) or a reference to a column (String, ColumnPath, KProperty, or ColumnAccessor; any Access APIs).

This is a DSL-shorthand for valueColumn and can be both typed and untyped (in case you're supplying a column name, -path, or index). In addition, extra runtime checks are in place to ensure that the column you specify is actually a value column. The function can also be called on ColumnGroups to create an accessor for a value column inside a ColumnGroup.

For more information: See valueCol on the documentation website.

Check out: Grammar

For example:

df.select{ valueCol<String>("valueColA") }

df.select{ valueCol(SomeType::valueColB) }

df.select{ myColumnGroup.valueCol(1) }

Examples for this overload:

df.select{ "pathTo"["myColumnGroup"].valueCol("pathTo"["valueColumnName"] ) }

df.select{ "pathTo"["myColumnGroup"].valueCol<String>("pathTo"["valueColumnName"] ) }

To create a ColumnAccessor for another kind of column, take a look at the functions col, colGroup, and frameCol.

Parameters

See also

Throws

Value Col

Creates a ColumnAccessor (or SingleColumn) for a value column with the given argument which can be either an index (Int) or a reference to a column (String, ColumnPath, KProperty, or ColumnAccessor; any Access APIs).

This is a DSL-shorthand for valueColumn and can be both typed and untyped (in case you're supplying a column name, -path, or index). In addition, extra runtime checks are in place to ensure that the column you specify is actually a value column. The function can also be called on ColumnGroups to create an accessor for a value column inside a ColumnGroup.

For more information: See valueCol on the documentation website.

Check out: Grammar

For example:

df.select{ valueCol<String>("valueColA") }

df.select{ valueCol(SomeType::valueColB) }

df.select{ myColumnGroup.valueCol(1) }

Examples for this overload:

df.select{ "pathTo"["myColumnGroup"].valueCol("pathTo"["valueColumnName"] ) }

df.select{ "pathTo"["myColumnGroup"].valueCol<String>("pathTo"["valueColumnName"] ) }

To create a ColumnAccessor for another kind of column, take a look at the functions col, colGroup, and frameCol.

Parameters

Type Parameters

See also

Throws

Value Col

Creates a ColumnAccessor (or SingleColumn) for a value column with the given argument which can be either an index (Int) or a reference to a column (String, ColumnPath, KProperty, or ColumnAccessor; any Access APIs).

This is a DSL-shorthand for valueColumn and can be both typed and untyped (in case you're supplying a column name, -path, or index). In addition, extra runtime checks are in place to ensure that the column you specify is actually a value column. The function can also be called on ColumnGroups to create an accessor for a value column inside a ColumnGroup.

For more information: See valueCol on the documentation website.

Check out: Grammar

For example:

df.select{ valueCol<String>("valueColA") }

df.select{ valueCol(SomeType::valueColB) }

df.select{ myColumnGroup.valueCol(1) }

Examples for this overload:

df.select{ colsOf<Int>().valueCol(0) }

To create a ColumnAccessor for another kind of column, take a look at the functions col, colGroup, and frameCol.

Parameters

Type Parameters

See also

Throws

Value Col

Creates a ColumnAccessor (or SingleColumn) for a value column with the given argument which can be either an index (Int) or a reference to a column (String, ColumnPath, KProperty, or ColumnAccessor; any Access APIs).

This is a DSL-shorthand for valueColumn and can be both typed and untyped (in case you're supplying a column name, -path, or index). In addition, extra runtime checks are in place to ensure that the column you specify is actually a value column. The function can also be called on ColumnGroups to create an accessor for a value column inside a ColumnGroup.

For more information: See valueCol on the documentation website.

Check out: Grammar

For example:

df.select{ valueCol<String>("valueColA") }

df.select{ valueCol(SomeType::valueColB) }

df.select{ myColumnGroup.valueCol(1) }

Examples for this overload:

df.select{ valueCol(0) }

df.select{ valueCol<String>(0) }

To create a ColumnAccessor for another kind of column, take a look at the functions col, colGroup, and frameCol.

Parameters

See also

Throws

Value Col

Creates a ColumnAccessor (or SingleColumn) for a value column with the given argument which can be either an index (Int) or a reference to a column (String, ColumnPath, KProperty, or ColumnAccessor; any Access APIs).

This is a DSL-shorthand for valueColumn and can be both typed and untyped (in case you're supplying a column name, -path, or index). In addition, extra runtime checks are in place to ensure that the column you specify is actually a value column. The function can also be called on ColumnGroups to create an accessor for a value column inside a ColumnGroup.

For more information: See valueCol on the documentation website.

Check out: Grammar

For example:

df.select{ valueCol<String>("valueColA") }

df.select{ valueCol(SomeType::valueColB) }

df.select{ myColumnGroup.valueCol(1) }

Examples for this overload:

df.select{ valueCol(0) }

df.select{ valueCol<String>(0) }

To create a ColumnAccessor for another kind of column, take a look at the functions col, colGroup, and frameCol.

Parameters

Type Parameters

See also

Throws

Value Col

Creates a ColumnAccessor (or SingleColumn) for a value column with the given argument which can be either an index (Int) or a reference to a column (String, ColumnPath, KProperty, or ColumnAccessor; any Access APIs).

This is a DSL-shorthand for valueColumn and can be both typed and untyped (in case you're supplying a column name, -path, or index). In addition, extra runtime checks are in place to ensure that the column you specify is actually a value column. The function can also be called on ColumnGroups to create an accessor for a value column inside a ColumnGroup.

For more information: See valueCol on the documentation website.

Check out: Grammar

For example:

df.select{ valueCol<String>("valueColA") }

df.select{ valueCol(SomeType::valueColB) }

df.select{ myColumnGroup.valueCol(1) }

Examples for this overload:

df.select{ myColumnGroup.valueCol(0) }

df.select{ myColumnGroup.valueCol<String>(0) }

To create a ColumnAccessor for another kind of column, take a look at the functions col, colGroup, and frameCol.

Parameters

See also

Throws

Value Col

Creates a ColumnAccessor (or SingleColumn) for a value column with the given argument which can be either an index (Int) or a reference to a column (String, ColumnPath, KProperty, or ColumnAccessor; any Access APIs).

This is a DSL-shorthand for valueColumn and can be both typed and untyped (in case you're supplying a column name, -path, or index). In addition, extra runtime checks are in place to ensure that the column you specify is actually a value column. The function can also be called on ColumnGroups to create an accessor for a value column inside a ColumnGroup.

For more information: See valueCol on the documentation website.

Check out: Grammar

For example:

df.select{ valueCol<String>("valueColA") }

df.select{ valueCol(SomeType::valueColB) }

df.select{ myColumnGroup.valueCol(1) }

Examples for this overload:

df.select{ myColumnGroup.valueCol(0) }

df.select{ myColumnGroup.valueCol<String>(0) }

To create a ColumnAccessor for another kind of column, take a look at the functions col, colGroup, and frameCol.

Parameters

Type Parameters

See also

Throws

Value Col

Creates a ColumnAccessor (or SingleColumn) for a value column with the given argument which can be either an index (Int) or a reference to a column (String, ColumnPath, KProperty, or ColumnAccessor; any Access APIs).

This is a DSL-shorthand for valueColumn and can be both typed and untyped (in case you're supplying a column name, -path, or index). In addition, extra runtime checks are in place to ensure that the column you specify is actually a value column. The function can also be called on ColumnGroups to create an accessor for a value column inside a ColumnGroup.

For more information: See valueCol on the documentation website.

Check out: Grammar

For example:

df.select{ valueCol<String>("valueColA") }

df.select{ valueCol(SomeType::valueColB) }

df.select{ myColumnGroup.valueCol(1) }

Examples for this overload:

df.select{ "myColumnGroup".valueCol(0) }

df.select{ "myColumnGroup".valueCol<String>(0) }

To create a ColumnAccessor for another kind of column, take a look at the functions col, colGroup, and frameCol.

Parameters

See also

Throws

Value Col

Creates a ColumnAccessor (or SingleColumn) for a value column with the given argument which can be either an index (Int) or a reference to a column (String, ColumnPath, KProperty, or ColumnAccessor; any Access APIs).

This is a DSL-shorthand for valueColumn and can be both typed and untyped (in case you're supplying a column name, -path, or index). In addition, extra runtime checks are in place to ensure that the column you specify is actually a value column. The function can also be called on ColumnGroups to create an accessor for a value column inside a ColumnGroup.

For more information: See valueCol on the documentation website.

Check out: Grammar

For example:

df.select{ valueCol<String>("valueColA") }

df.select{ valueCol(SomeType::valueColB) }

df.select{ myColumnGroup.valueCol(1) }

Examples for this overload:

df.select{ "myColumnGroup".valueCol(0) }

df.select{ "myColumnGroup".valueCol<String>(0) }

To create a ColumnAccessor for another kind of column, take a look at the functions col, colGroup, and frameCol.

Parameters

Type Parameters

See also

Throws

Value Col

Creates a ColumnAccessor (or SingleColumn) for a value column with the given argument which can be either an index (Int) or a reference to a column (String, ColumnPath, KProperty, or ColumnAccessor; any Access APIs).

This is a DSL-shorthand for valueColumn and can be both typed and untyped (in case you're supplying a column name, -path, or index). In addition, extra runtime checks are in place to ensure that the column you specify is actually a value column. The function can also be called on ColumnGroups to create an accessor for a value column inside a ColumnGroup.

For more information: See valueCol on the documentation website.

Check out: Grammar

For example:

df.select{ valueCol<String>("valueColA") }

df.select{ valueCol(SomeType::valueColB) }

df.select{ myColumnGroup.valueCol(1) }

Examples for this overload:

df.select{ "pathTo"["myColumnGroup"].valueCol(0) }

df.select{ "pathTo"["myColumnGroup"].valueCol<String>(0) }

To create a ColumnAccessor for another kind of column, take a look at the functions col, colGroup, and frameCol.

Parameters

See also

Throws

Value Col

Creates a ColumnAccessor (or SingleColumn) for a value column with the given argument which can be either an index (Int) or a reference to a column (String, ColumnPath, KProperty, or ColumnAccessor; any Access APIs).

This is a DSL-shorthand for valueColumn and can be both typed and untyped (in case you're supplying a column name, -path, or index). In addition, extra runtime checks are in place to ensure that the column you specify is actually a value column. The function can also be called on ColumnGroups to create an accessor for a value column inside a ColumnGroup.

For more information: See valueCol on the documentation website.

Check out: Grammar

For example:

df.select{ valueCol<String>("valueColA") }

df.select{ valueCol(SomeType::valueColB) }

df.select{ myColumnGroup.valueCol(1) }

Examples for this overload:

df.select{ "pathTo"["myColumnGroup"].valueCol(0) }

df.select{ "pathTo"["myColumnGroup"].valueCol<String>(0) }

To create a ColumnAccessor for another kind of column, take a look at the functions col, colGroup, and frameCol.

Parameters

Type Parameters

See also

Throws

Value Col

Creates a ColumnAccessor (or SingleColumn) for a value column with the given argument which can be either an index (Int) or a reference to a column (String, ColumnPath, KProperty, or ColumnAccessor; any Access APIs).

This is a DSL-shorthand for valueColumn and can be both typed and untyped (in case you're supplying a column name, -path, or index). In addition, extra runtime checks are in place to ensure that the column you specify is actually a value column. The function can also be called on ColumnGroups to create an accessor for a value column inside a ColumnGroup.

For more information: See valueCol on the documentation website.

Check out: Grammar

For example:

df.select{ valueCol<String>("valueColA") }

df.select{ valueCol(SomeType::valueColB) }

df.select{ myColumnGroup.valueCol(1) }

Examples for this overload:

df.select{ valueCol(valueColumnA) }

To create a ColumnAccessor for another kind of column, take a look at the functions col, colGroup, and frameCol.

Parameters

Type Parameters

See also

Throws

Value Col

Creates a ColumnAccessor (or SingleColumn) for a value column with the given argument which can be either an index (Int) or a reference to a column (String, ColumnPath, KProperty, or ColumnAccessor; any Access APIs).

This is a DSL-shorthand for valueColumn and can be both typed and untyped (in case you're supplying a column name, -path, or index). In addition, extra runtime checks are in place to ensure that the column you specify is actually a value column. The function can also be called on ColumnGroups to create an accessor for a value column inside a ColumnGroup.

For more information: See valueCol on the documentation website.

Check out: Grammar

For example:

df.select{ valueCol<String>("valueColA") }

df.select{ valueCol(SomeType::valueColB) }

df.select{ myColumnGroup.valueCol(1) }

Examples for this overload:

df.select{ Type::myColumnGroup.valueCol(valueColumnA) }

To create a ColumnAccessor for another kind of column, take a look at the functions col, colGroup, and frameCol.

Parameters

Type Parameters

See also

Throws

Value Col

Creates a ColumnAccessor (or SingleColumn) for a value column with the given argument which can be either an index (Int) or a reference to a column (String, ColumnPath, KProperty, or ColumnAccessor; any Access APIs).

This is a DSL-shorthand for valueColumn and can be both typed and untyped (in case you're supplying a column name, -path, or index). In addition, extra runtime checks are in place to ensure that the column you specify is actually a value column. The function can also be called on ColumnGroups to create an accessor for a value column inside a ColumnGroup.

For more information: See valueCol on the documentation website.

Check out: Grammar

For example:

df.select{ valueCol<String>("valueColA") }

df.select{ valueCol(SomeType::valueColB) }

df.select{ myColumnGroup.valueCol(1) }

Examples for this overload:

df.select{ Type::myColumnGroup.valueCol("valueColumnName") }

df.select{ Type::myColumnGroup.valueCol<String>("valueColumnName") }

To create a ColumnAccessor for another kind of column, take a look at the functions col, colGroup, and frameCol.

Parameters

See also

Throws

Value Col

Creates a ColumnAccessor (or SingleColumn) for a value column with the given argument which can be either an index (Int) or a reference to a column (String, ColumnPath, KProperty, or ColumnAccessor; any Access APIs).

This is a DSL-shorthand for valueColumn and can be both typed and untyped (in case you're supplying a column name, -path, or index). In addition, extra runtime checks are in place to ensure that the column you specify is actually a value column. The function can also be called on ColumnGroups to create an accessor for a value column inside a ColumnGroup.

For more information: See valueCol on the documentation website.

Check out: Grammar

For example:

df.select{ valueCol<String>("valueColA") }

df.select{ valueCol(SomeType::valueColB) }

df.select{ myColumnGroup.valueCol(1) }

Examples for this overload:

df.select{ Type::myColumnGroup.valueCol("valueColumnName") }

df.select{ Type::myColumnGroup.valueCol<String>("valueColumnName") }

To create a ColumnAccessor for another kind of column, take a look at the functions col, colGroup, and frameCol.

Parameters

Type Parameters

See also

Throws

Value Col

Creates a ColumnAccessor (or SingleColumn) for a value column with the given argument which can be either an index (Int) or a reference to a column (String, ColumnPath, KProperty, or ColumnAccessor; any Access APIs).

This is a DSL-shorthand for valueColumn and can be both typed and untyped (in case you're supplying a column name, -path, or index). In addition, extra runtime checks are in place to ensure that the column you specify is actually a value column. The function can also be called on ColumnGroups to create an accessor for a value column inside a ColumnGroup.

For more information: See valueCol on the documentation website.

Check out: Grammar

For example:

df.select{ valueCol<String>("valueColA") }

df.select{ valueCol(SomeType::valueColB) }

df.select{ myColumnGroup.valueCol(1) }

Examples for this overload:

df.select{ Type::myColumnGroup.valueCol("pathTo"["valueColumnName"] ) }

df.select{ Type::myColumnGroup.valueCol<String>("pathTo"["valueColumnName"] ) }

To create a ColumnAccessor for another kind of column, take a look at the functions col, colGroup, and frameCol.

Parameters

See also

Throws

Value Col

Creates a ColumnAccessor (or SingleColumn) for a value column with the given argument which can be either an index (Int) or a reference to a column (String, ColumnPath, KProperty, or ColumnAccessor; any Access APIs).

This is a DSL-shorthand for valueColumn and can be both typed and untyped (in case you're supplying a column name, -path, or index). In addition, extra runtime checks are in place to ensure that the column you specify is actually a value column. The function can also be called on ColumnGroups to create an accessor for a value column inside a ColumnGroup.