Uses of Interface
tech.bitey.dataframe.Column

Packages that use Column

Package	Description
tech.bitey.dataframe
tech.bitey.dataframe.db

Uses of Column in tech.bitey.dataframe

Subinterfaces of Column in tech.bitey.dataframe

Modifier and Type	Interface and Description
interface	BooleanColumn A Column with element type Boolean.
interface	ByteColumn A Column with element type Byte.
interface	DateColumn A Column with element type LocalDate.
interface	DateTimeColumn A Column with element type LocalDateTime.
interface	DecimalColumn A Column with element type BigDecimal.
interface	DoubleColumn A Column with element type Double.
interface	FloatColumn A Column with element type Float.
interface	IntColumn A Column with element type Integer.
interface	LongColumn A Column with element type Long.
interface	NumericColumn<E extends Number> A Column with a numeric element type.
interface	ShortColumn A Column with element type Short.
interface	StringColumn A Column with element type String.

Classes in tech.bitey.dataframe that implement Column

Modifier and Type	Class and Description
class	EnumColumn<T extends Enum<T>> An EnumColumn is a view wrapping a ByteColumn, with the byte values interpreted as ordinals of the specified enum type.

Methods in tech.bitey.dataframe that return Column

Modifier and Type	Method and Description
Column<E>	Column.append(Column<E> tail) Appends two columns with the same element type.
default Column<E>	Column.append(Column<E> tail, boolean coerce) Appends two columns with the same element type.
Column<E>	ColumnBuilder.build() Returns a newly-created Column based on the contents of this builder.
<T> Column<T>	DataFrame.column(int columnIndex) Returns the Column at the specified index.
<T> Column<T>	DataFrame.column(String columnName) Returns the specified Column
Column<E>	Column.copy() Returns a column equal to this one, but with elements stored in a newly allocated buffer.
<T> Column<T>	DataFrame.deriveColumn(ColumnType<T> type, Function<Row,T> function) Derive a new Column from the rows of this dataframe.
Column<E>	Column.head(E toElement) Same behavior as head(Object, boolean), with inclusive set to false.
Column<E>	Column.head(E toElement, boolean inclusive) Returns a view of the portion of this column whose elements are less than (or equal to, if inclusive is true) toElement.
Column<?>	ColumnType.nullColumn(int size) Returns a Column of the corresponding type that only contains nulls.
Column<E>	Column.subColumn(int fromIndex, int toIndex) Returns a view of the portion of this column between the specified fromIndex, inclusive, and toIndex, exclusive.
Column<E>	Column.subColumnByValue(E fromElement, boolean fromInclusive, E toElement, boolean toInclusive) Returns a view of the portion of this column whose elements range from fromElement to toElement.
Column<E>	Column.subColumnByValue(E fromElement, E toElement) Same behavior as Column#subColumn(Object, boolean, Object, Boolean), with fromInclusive set to true and toInclusive set to false.
Column<E>	Column.tail(E fromElement) Same behavior as tail(Object, boolean), with inclusive set to true.
Column<E>	Column.tail(E fromElement, boolean inclusive) Returns a view of the portion of this column whose elements are greater than (or equal to, if inclusive is true) fromElement.
Column<E>	Column.toDistinct() Converts a column to a unique index.
Column<E>	Column.toHeap() Converts an index into a heap.
Column<E>	Column.toSorted() Converts a heap to an index.

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

Modifier and Type	Method and Description
LinkedHashMap<String,Column<?>>	DataFrame.columnMap() Returns an ordered map where the entries are (name, column) pairs.
List<Column<?>>	DataFrame.columns() Returns a list of columns in this dataframe.

Methods in tech.bitey.dataframe with parameters of type Column

Modifier and Type	Method and Description
DecimalColumn	DecimalColumn.append(Column<BigDecimal> tail)
BooleanColumn	BooleanColumn.append(Column<Boolean> tail)
ByteColumn	ByteColumn.append(Column<Byte> tail)
DoubleColumn	DoubleColumn.append(Column<Double> tail)
Column<E>	Column.append(Column<E> tail) Appends two columns with the same element type.
default Column<E>	Column.append(Column<E> tail, boolean coerce) Appends two columns with the same element type.
FloatColumn	FloatColumn.append(Column<Float> tail)
IntColumn	IntColumn.append(Column<Integer> tail)
DateColumn	DateColumn.append(Column<LocalDate> tail)
DateTimeColumn	DateTimeColumn.append(Column<LocalDateTime> tail)
LongColumn	LongColumn.append(Column<Long> tail)
ShortColumn	ShortColumn.append(Column<Short> tail)
StringColumn	StringColumn.append(Column<String> tail)
EnumColumn<T>	EnumColumn.append(Column<T> tail)
static DataFrame	DataFrameFactory.create(Column<?>[] columns, String[] columnNames) Returns a DataFrame with the specified columns and column names.
static DataFrame	DataFrameFactory.create(Column<?>[] columns, String[] columnNames, String keyColumnName) Returns a DataFrame with the specified columns, column names, and key column name.
DataFrame	DataFrame.withColumn(String columnName, Column<?> column) Returns a new dataframe which is a shallow copy of this one, but including the specified column and column name.
DataFrame	DataFrame.withColumns(String[] columnNames, Column<?>[] columns) Returns a new dataframe which is a shallow copy of this one, but including the specified columns and column names.

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

Modifier and Type	Method and Description
static DataFrame	DataFrameFactory.create(LinkedHashMap<String,Column<?>> columnMap) Returns a DataFrame where the column names and columns are provided as ordered entries in columnMap.
static DataFrame	DataFrameFactory.create(LinkedHashMap<String,Column<?>> columnMap, String keyColumnName) Returns a DataFrame where the column names and columns are provided as ordered entries in columnMap, and with the specified key column name.
static DataFrame	DataFrameFactory.create(List<Column<?>> columns, List<String> columnNames) Returns a DataFrame with the specified columns and column names.
static DataFrame	DataFrameFactory.create(List<Column<?>> columns, List<String> columnNames, String keyColumnName) Returns a DataFrame with the specified columns, column names, and key column name.
DataFrame	DataFrame.withColumns(LinkedHashMap<String,Column<?>> columns) Returns a new dataframe which is a shallow copy of this one, but including the specified columns and column names.

Uses of Column in tech.bitey.dataframe.db

Classes in tech.bitey.dataframe.db with type parameters of type Column

Modifier and Type	Interface and Description
interface	IToPreparedStatement<C extends Column<?>>