valueCols

Value Columns

Creates a subset of columns from this that are ValueColumns.

You can optionally use a filter to only include certain columns. valueCols can be called using any of the supported APIs (+ ColumnPath).

This function operates solely on columns at the top-level.

For more information: See valueCols on the documentation website.

Check out: Grammar

For example:

df.select{ valueCols{ it.name.startsWith("my") } }

df.select{ colsAtAnyDepth().valueCols() }

df.select{ "myColGroup".valueCols() }

Examples for this overload:

df.select{ cols{ it.name.startsWith("my") }.valueCols() }

// NOTE: This can be shortened to just:

df.select{ valueCols{ it.name.startsWith("my") } }

Parameters

See also

Value Columns

Creates a subset of columns from this that are ValueColumns.

You can optionally use a filter to only include certain columns. valueCols can be called using any of the supported APIs (+ ColumnPath).

This function operates solely on columns at the top-level.

For more information: See valueCols on the documentation website.

Check out: Grammar

For example:

df.select{ valueCols{ it.name.startsWith("my") } }

df.select{ colsAtAnyDepth().valueCols() }

df.select{ "myColGroup".valueCols() }

Examples for this overload:

df.select{ valueCols() }

df.select{ valueCols{ it.any{ it == "Alice" } } }

Parameters

See also

Value Columns

Creates a subset of columns from this that are ValueColumns.

You can optionally use a filter to only include certain columns. valueCols can be called using any of the supported APIs (+ ColumnPath).

This function operates solely on columns at the top-level.

For more information: See valueCols on the documentation website.

Check out: Grammar

For example:

df.select{ valueCols{ it.name.startsWith("my") } }

df.select{ colsAtAnyDepth().valueCols() }

df.select{ "myColGroup".valueCols() }

Examples for this overload:

df.select{ myColGroup.valueCols() }

df.select{ myColGroup.valueCols{ it.any{ it == "Alice" } } }

Parameters

See also

Value Columns

Creates a subset of columns from this that are ValueColumns.

You can optionally use a filter to only include certain columns. valueCols can be called using any of the supported APIs (+ ColumnPath).

This function operates solely on columns at the top-level.

For more information: See valueCols on the documentation website.

Check out: Grammar

For example:

df.select{ valueCols{ it.name.startsWith("my") } }

df.select{ colsAtAnyDepth().valueCols() }

df.select{ "myColGroup".valueCols() }

Examples for this overload:

df.select{ "myColGroup".valueCols{ it.any{ it == "Alice" } } }

df.select{ "myColGroup".valueCols() }

Parameters

See also

Value Columns

Creates a subset of columns from this that are ValueColumns.

You can optionally use a filter to only include certain columns. valueCols can be called using any of the supported APIs (+ ColumnPath).

This function operates solely on columns at the top-level.

For more information: See valueCols on the documentation website.

Check out: Grammar

For example:

df.select{ valueCols{ it.name.startsWith("my") } }

df.select{ colsAtAnyDepth().valueCols() }

df.select{ "myColGroup".valueCols() }

Examples for this overload:

df.select{ "pathTo"["myGroupCol"].valueCols() }

Parameters

See also

Value Columns

Creates a subset of columns from this that are ValueColumns.

You can optionally use a filter to only include certain columns. valueCols can be called using any of the supported APIs (+ ColumnPath).

This function operates solely on columns at the top-level.

For more information: See valueCols on the documentation website.

Check out: Grammar

For example:

df.select{ valueCols{ it.name.startsWith("my") } }

df.select{ colsAtAnyDepth().valueCols() }

df.select{ "myColGroup".valueCols() }

Examples for this overload:

df.select{ Type::myColumnGroup.valueCols{ it.any{ it == "Alice" } } }

df.select{ Type::myColumnGroup.valueCols() }

df.select{ DataSchemaType::myColumnGroup.valueCols() }

Parameters

See also