Uses of Interface
tech.bitey.dataframe.Row

Packages that use Row

Package	Description
tech.bitey.dataframe

Uses of Row in tech.bitey.dataframe

Subinterfaces of Row in tech.bitey.dataframe

Modifier and Type	Interface and Description
interface	Cursor A cursor for the rows of a DataFrame that allows the programmer to traverse the rows in either direction.

Methods in tech.bitey.dataframe that return types with arguments of type Row

Modifier and Type	Method and Description
default Spliterator<Row>	DataFrame.spliterator()

Method parameters in tech.bitey.dataframe with type arguments of type Row

Modifier and Type	Method and Description
<T> Column<T>	DataFrame.deriveColumn(ColumnType<T> type, Function<Row,T> function) Derive a new Column from the rows of this dataframe.
BooleanColumn	DataFrame.deriveColumn(Predicate<Row> function) Derive a new BooleanColumn from the rows of this dataframe.
DoubleColumn	DataFrame.deriveColumn(ToDoubleFunction<Row> function) Derive a new DoubleColumn from the rows of this dataframe.
FloatColumn	DataFrame.deriveColumn(ToFloatFunction<Row> function) Derive a new FloatColumn from the rows of this dataframe.
IntColumn	DataFrame.deriveColumn(ToIntFunction<Row> function) Derive a new IntColumn from the rows of this dataframe.
LongColumn	DataFrame.deriveColumn(ToLongFunction<Row> function) Derive a new LongColumn from the rows of this dataframe.
DataFrame	DataFrame.filter(Predicate<Row> criteria) Returns a dataframe containing the rows which pass the specified Predicate.
DateSeries	DateSeries.filter(Predicate<Row> criteria) Returns a DateSeries containing the points which pass the specified Predicate.
DateSeries	DateSeriesImpl.filter(Predicate<Row> criteria)