DataFrame (tech.bitey:dataframe 0.3.2 API)

All Superinterfaces:

Collection<Row>, Iterable<Row>, List<Row>, RandomAccess

All Known Subinterfaces:

DateSeries

All Known Implementing Classes:

DateSeriesImpl
```
public interface DataFrame
extends List<Row>, RandomAccess
```
A two-dimensional, Column-oriented, immutable, heterogeneous tabular data structure with labeled column names.
Dataframe implements List<Row>. The rows can be accessed using the standard Collection/List/Iterator methods, or via a Cursor which avoids the overhead of creating a Row object for each row.
A dataframe may optionally designate a "key" column. A key column is a Column which reports Column.isDistinct() as true, and acts as an index in the database sense of the word. Certain methods will only work when a key column is present, e.g. subFrameByValue(Object, Object).
- Column names are case-sensitive, and must be distinct.
Author:

biteytech@protonmail.com

Method Summary

All Methods Instance Methods Abstract Methods Default Methods
Modifier and Type	Method and Description
`DataFrame`	`append(DataFrame df)` Appends the specified dataframe to this one by calling `Column.append(Column)` on each pair of columns, and keeping the meta-data from this dataframe.
`DataFrame`	`append(DataFrame df, boolean coerce)` Appends the specified dataframe to this one by calling `Column.append(Column,boolean)` on each pair of columns, and keeping the meta-data from this dataframe.
`BooleanColumn`	`booleanColumn(int columnIndex)` Returns the `BooleanColumn` at the specified index.
`BooleanColumn`	`booleanColumn(String columnName)` Returns the specified `BooleanColumn`
`<T> Column<T>`	`column(int columnIndex)` Returns the `Column` at the specified index.
`<T> Column<T>`	`column(String columnName)` Returns the specified `Column`
`int`	`columnCount()` Returns the number of columns in this dataframe.
`int`	`columnIndex(String columnName)` Returns the index of the specified column.
`LinkedHashMap<String,Column<?>>`	`columnMap()` Returns an ordered map where the entries are (name, column) pairs.
`String`	`columnName(int columnIndex)` Returns the column name at the specified index.
`List<String>`	`columnNames()` Returns a list of column names in this dataframe.
`List<Column<?>>`	`columns()` Returns a list of columns in this dataframe.
`ColumnType<?>`	`columnType(int columnIndex)` Returns the `column type` at the specified index.
`ColumnType<?>`	`columnType(String columnName)` Returns the `column type` at the specified index.
`List<ColumnType<?>>`	`columnTypes()` Returns a list of column types in this dataframe.
`DataFrame`	`copy()` Returns a deep copy of this dataframe.
`default Cursor`	`cursor()` Returns a `Cursor` pointing at the first row in this dataframe.
`Cursor`	`cursor(int rowIndex)` Returns a `Cursor` at the specified row index.
`DateColumn`	`dateColumn(int columnIndex)` Returns the `DateColumn` at the specified index.
`DateColumn`	`dateColumn(String columnName)` Returns the specified `DateColumn`
`DateTimeColumn`	`dateTimeColumn(int columnIndex)` Returns the `DateTimeColumn` at the specified index.
`DateTimeColumn`	`dateTimeColumn(String columnName)` Returns the specified `DateTimeColumn`
`DecimalColumn`	`decimalColumn(int columnIndex)` Returns the `DecimalColumn` at the specified index.
`DecimalColumn`	`decimalColumn(String columnName)` Returns the specified `DecimalColumn`
`<T> Column<T>`	`deriveColumn(ColumnType<T> type, Function<Row,T> function)` Derive a new `Column` from the rows of this dataframe.
`BooleanColumn`	`deriveColumn(Predicate<Row> function)` Derive a new `BooleanColumn` from the rows of this dataframe.
`DoubleColumn`	`deriveColumn(ToDoubleFunction<Row> function)` Derive a new `DoubleColumn` from the rows of this dataframe.
`FloatColumn`	`deriveColumn(ToFloatFunction<Row> function)` Derive a new `FloatColumn` from the rows of this dataframe.
`IntColumn`	`deriveColumn(ToIntFunction<Row> function)` Derive a new `IntColumn` from the rows of this dataframe.
`LongColumn`	`deriveColumn(ToLongFunction<Row> function)` Derive a new `LongColumn` from the rows of this dataframe.
`DoubleColumn`	`doubleColumn(int columnIndex)` Returns the `DoubleColumn` at the specified index.
`DoubleColumn`	`doubleColumn(String columnName)` Returns the specified `DoubleColumn`
`DataFrame`	`dropColumns(Collection<String> columnNames)` Returns a new dataframe which excludes the specified columns.
`DataFrame`	`dropColumns(int... columnIndices)` Returns a new dataframe which excludes the specified columns.
`DataFrame`	`dropColumns(String... columnNames)` Returns a new dataframe which excludes the specified columns.
`default DataFrame`	`empty()` Returns an empty dataframe.
`boolean`	`equals(DataFrame df, boolean dataOnly)` Tests this DataFrame against the specified one for equality.
`DataFrame`	`filter(Predicate<Row> criteria)` Returns a dataframe containing the rows which pass the specified `Predicate`.
`DataFrame`	`filterNulls()` Returns a dataframe containing the rows which do not contain any null values.
`FloatColumn`	`floatColumn(int columnIndex)` Returns the `FloatColumn` at the specified index.
`FloatColumn`	`floatColumn(String columnName)` Returns the specified `FloatColumn`
`<T> T`	`get(int rowIndex, int columnIndex)` Returns the value for the specified row in the specified `Column`.
`<T> T`	`get(int rowIndex, String columnName)` Returns the value for the specified row in the specified `Column`.
`BigDecimal`	`getBigDecimal(int rowIndex, int columnIndex)` Returns the value for the specified row in the specified `DecimalColumn`.
`BigDecimal`	`getBigDecimal(int rowIndex, String columnName)` Returns the value for the specified row in the specified `DecimalColumn`.
`boolean`	`getBoolean(int rowIndex, int columnIndex)` `boolean` primitive specialization of `get(int,int)`.
`boolean`	`getBoolean(int rowIndex, String columnName)` `boolean` primitive specialization of `get(int,String)`.
`LocalDate`	`getDate(int rowIndex, int columnIndex)` Returns the value for the specified row in the specified `DateColumn`.
`LocalDate`	`getDate(int rowIndex, String columnName)` Returns the value for the specified row in the specified `DateColumn`.
`LocalDateTime`	`getDateTime(int rowIndex, int columnIndex)` Returns the value for the specified row in the specified `DateTimeColumn`.
`LocalDateTime`	`getDateTime(int rowIndex, String columnName)` Returns the value for the specified row in the specified `DateTimeColumn`.
`double`	`getDouble(int rowIndex, int columnIndex)` `double` primitive specialization of `get(int,int)`.
`double`	`getDouble(int rowIndex, String columnName)` `double` primitive specialization of `get(int,String)`.
`float`	`getFloat(int rowIndex, int columnIndex)` `float` primitive specialization of `get(int,int)`.
`float`	`getFloat(int rowIndex, String columnName)` `float` primitive specialization of `get(int,String)`.
`int`	`getInt(int rowIndex, int columnIndex)` `int` primitive specialization of `get(int,int)`.
`int`	`getInt(int rowIndex, String columnName)` `int` primitive specialization of `get(int,String)`.
`long`	`getLong(int rowIndex, int columnIndex)` `long` primitive specialization of `get(int,int)`.
`long`	`getLong(int rowIndex, String columnName)` `long` primitive specialization of `get(int,String)`.
`default double`	`getOrDefaultDouble(int rowIndex, int columnIndex, double defaultValue)` Returns the value for the specified row in the specified `DoubleColumn`, or the specified `defaultValue` if the value is null.
`default double`	`getOrDefaultDouble(int rowIndex, String columnName, double defaultValue)` Returns the value for the specified row in the specified `DoubleColumn`, or the specified `defaultValue` if the value is null.
`default float`	`getOrDefaultFloat(int rowIndex, int columnIndex, float defaultValue)` Returns the value for the specified row in the specified `FloatColumn`, or the specified `defaultValue` if the value is null.
`default float`	`getOrDefaultFloat(int rowIndex, String columnName, float defaultValue)` Returns the value for the specified row in the specified `FloatColumn`, or the specified `defaultValue` if the value is null.
`default int`	`getOrDefaultInt(int rowIndex, int columnIndex, int defaultValue)` Returns the value for the specified row in the specified `IntColumn`, or the specified `defaultValue` if the value is null.
`default int`	`getOrDefaultInt(int rowIndex, String columnName, int defaultValue)` Returns the value for the specified row in the specified `IntColumn`, or the specified `defaultValue` if the value is null.
`default long`	`getOrDefaultLong(int rowIndex, int columnIndex, long defaultValue)` Returns the value for the specified row in the specified `LongColumn`, or the specified `defaultValue` if the value is null.
`default long`	`getOrDefaultLong(int rowIndex, String columnName, long defaultValue)` Returns the value for the specified row in the specified `LongColumn`, or the specified `defaultValue` if the value is null.
`default long`	`getOrDefaultShort(int rowIndex, int columnIndex, short defaultValue)` Returns the value for the specified row in the specified `ShortColumn`, or the specified `defaultValue` if the value is null.
`default long`	`getOrDefaultShort(int rowIndex, String columnName, short defaultValue)` Returns the value for the specified row in the specified `ShortColumn`, or the specified `defaultValue` if the value is null.
`short`	`getShort(int rowIndex, int columnIndex)` `short` primitive specialization of `get(int,int)`.
`short`	`getShort(int rowIndex, String columnName)` `short` primitive specialization of `get(int,String)`.
`String`	`getString(int rowIndex, int columnIndex)` Returns the value for the specified row in the specified `StringColumn`.
`String`	`getString(int rowIndex, String columnName)` Returns the value for the specified row in the specified `StringColumn`.
`boolean`	`hasKeyColumn()` Returns true if this dataframe has a key column.
`default DataFrame`	`head()` Returns a dataframe containing the first 10 rows from this dataframe, or this dataframe if it contains fewer than 10 rows.
`DataFrame`	`head(int count)` Returns a dataframe containing the first `count` rows from this dataframe, or this dataframe if it contains fewer than `count` rows.
`DataFrame`	`headTo(Object toKey)` Returns a dataframe containing the rows whose key column values are strictly less than `toKey`.
`DataFrame`	`indexOrganize(int columnIndex)` Returns a new dataframe with rows sorted by the specified column.
`DataFrame`	`indexOrganize(String columnName)` Returns a new dataframe with rows sorted by the specified column.
`IntColumn`	`intColumn(int columnIndex)` Returns the `IntColumn` at the specified index.
`IntColumn`	`intColumn(String columnName)` Returns the specified `IntColumn`
`boolean`	`isNull(int rowIndex, int columnIndex)` Returns true if the value is null in the specified `Column` at the specified row index.
`boolean`	`isNull(int rowIndex, String columnName)` Returns true if the value is null in the specified `Column` at the specified row index.
`DataFrame`	`join(DataFrame df)` Perform a one-to-one inner join on this (left) dataframe with the specified (right) dataframe by their key columns.
`DataFrame`	`join(DataFrame df, String[] leftColumnNames, String[] rightColumnNames)` Perform a one-to-many inner join on this (left) dataframe with the specified (right) dataframe by building a hashtable index on the specified left columns.
`DataFrame`	`joinLeftOneToMany(DataFrame df, String rightColumnName)` Perform a one-to-many left join on this (left) dataframe with the specified (right) dataframe using the key column from the left dataframe.
`DataFrame`	`joinManyToOne(DataFrame df, String leftColumnName)` Perform a many-to-one inner join on this (left) dataframe with the specified (right) dataframe using the key column from the right dataframe.
`DataFrame`	`joinOneToMany(DataFrame df, String rightColumnName)` Perform a one-to-many inner join on this (left) dataframe with the specified (right) dataframe using the key column from the left dataframe.
`Integer`	`keyColumnIndex()` Returns the index of the key column, or null if no key column has been specified.
`String`	`keyColumnName()` Returns the key column name, or null if no key column has been specified.
`ColumnType<?>`	`keyColumnType()` Returns the key `column type`, or null if no key column has been specified.
`LongColumn`	`longColumn(int columnIndex)` Returns the `LongColumn` at the specified index.
`LongColumn`	`longColumn(String columnName)` Returns the specified `LongColumn`
`DataFrame`	`sampleN(int sampleSize)` Returns a dataframe containing `sampleSize` rows selected at random.
`DataFrame`	`sampleX(double proportion)` Returns a dataframe containing `size()*proportion` rows selected at random.
`DataFrame`	`selectColumns(int... columnIndices)` Returns a new dataframe which contains only the specified columns, in the specified order.
`DataFrame`	`selectColumns(List<String> columnNames)` Returns a new dataframe which contains only the specified columns, in the specified order.
`DataFrame`	`selectColumns(String... columnNames)` Returns a new dataframe which contains only the specified columns, in the specified order.
`ShortColumn`	`shortColumn(int columnIndex)` Returns the `ShortColumn` at the specified index.
`ShortColumn`	`shortColumn(String columnName)` Returns the specified `ShortColumn`
`default Spliterator<Row>`	`spliterator()`
`StringColumn`	`stringColumn(int columnIndex)` Returns the `StringColumn` at the specified index.
`StringColumn`	`stringColumn(String columnName)` Returns the specified `StringColumn`
`DataFrame`	`subFrame(int fromIndex, int toIndex)` Returns a dataframe containing the rows between the specified `fromIndex`, inclusive, and `toIndex`, exclusive (if `fromIndex` and `toIndex` are equal, the returned dataframe is empty).
`DataFrame`	`subFrameByValue(Object fromKey, boolean fromInclusive, Object toKey, boolean toInclusive)` Returns a dataframe containing the rows whose key column values are between `fromKey` and `toKey`.
`default DataFrame`	`subFrameByValue(Object fromKey, Object toKey)` Returns a dataframe containing the rows whose key column values are greater than or equal to `fromKey` and strictly less than `toKey`.
`default DataFrame`	`tail()` Returns a dataframe containing the last 10 rows from this dataframe, or this dataframe if it contains fewer than 10 rows.
`DataFrame`	`tail(int count)` Returns a dataframe containing the last `count` rows from this dataframe, or this dataframe if it contains fewer than `count` rows.
`DataFrame`	`tailFrom(Object fromKey)` Returns a dataframe containing the rows whose key column values are greater than or equal to `fromKey`.
`DateSeries`	`toDateSeries(int columnIndex)` Returns a `DateSeries` using the key column from this dataframe as the date column in the time series, and using the specified column as the values column in the time series.
`DateSeries`	`toDateSeries(String columnName)` Returns a `DateSeries` using the key column from this dataframe as the date column in the time series, and using the specified column as the values column in the time series.
`<K,V> Map<K,V>`	`toMap(int columnIndex)` Returns a map keyed by the elements in the key column, with values from the column at the specified index.
`<K,V> Map<K,V>`	`toMap(String columnName)` Returns a map keyed by the elements in the key column, with values from the column at the specified index.
`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`	`withColumns(DataFrame df)` Returns a new dataframe which is a shallow copy of this one, but including the columns and column names from the provided 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.
`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.
`DataFrame`	`withKeyColumn(int columnIndex)` Returns a new dataframe which is a shallow copy of this one, but with the key column set to the specified column.
`DataFrame`	`withKeyColumn(String columnName)` Returns a new dataframe which is a shallow copy of this one, but with the key column set to the specified column.
`void`	`writeCsvTo(File file)` Save this dataframe to an RFC 4180 compliant CSV file, encoded with UTF-8.
`void`	`writeCsvTo(OutputStream os)` Write this dataframe as an RFC 4180 compliant CSV to the specified `OutputStream`, encoded with UTF-8.
`void`	`writeTo(File file)` Saves this dataframe to a file in a binary format.
`default void`	`writeTo(PreparedStatement ps)` Equivalent to `writeTo(ps, WriteToDbConfig.DEFAULT_CONFIG)`
`void`	`writeTo(PreparedStatement ps, WriteToDbConfig config)` Writes this dataframe to the specified `PreparedStatement` using the specified `configuration`.
`void`	`writeTo(WritableByteChannel channel)` Writes this dataframe to the specified `WritableByteChannel`.
`int`	`yyyymmdd(int rowIndex, int columnIndex)` Returns the `yyyymmdd` date for the specified row in the specified `DateColumn`.
`int`	`yyyymmdd(int rowIndex, String columnName)` Returns the `yyyymmdd` date for the specified row in the specified `DateColumn`.

Methods inherited from interface java.util.List
add, add, addAll, addAll, clear, contains, containsAll, equals, get, hashCode, indexOf, isEmpty, iterator, lastIndexOf, listIterator, listIterator, remove, remove, removeAll, replaceAll, retainAll, set, size, sort, subList, toArray, toArray

Methods inherited from interface java.util.Collection
parallelStream, removeIf, stream

Methods inherited from interface java.lang.Iterable
forEach

- Method Detail
  - equals
```
boolean equals(DataFrame df,
               boolean dataOnly)
```
    Tests this DataFrame against the specified one for equality. Only compares the column data if dataOnly is true, otherwise compares column names and keyColumnIndex() as well.
    
    Parameters:
    
    df - - the dataframe to compare against
    
    dataOnly - - only compares column data if true, otherwise compares column names and keyColumnIndex() as well
    
    Returns:
    
    true if all column comparisons are true, and either dataOnly is true or the column names and keyColumnIndex() are the same as well.
  - copy
```
DataFrame copy()
```
    Returns a deep copy of this dataframe. All column data will be copied into newly allocated buffers.
    
    Returns:
    
    a deep copy of this dataframe.
  - spliterator
```
default Spliterator<Row> spliterator()
```
    Specified by:
    
    spliterator in interface Collection<Row>
    
    Specified by:
    
    spliterator in interface Iterable<Row>
    
    Specified by:
    
    spliterator in interface List<Row>
  - cursor
```
Cursor cursor(int rowIndex)
```
    Returns a Cursor at the specified row index.
    
    Parameters:
    
    rowIndex - - the row index
    
    Returns:
    
    a Cursor at the specified row index.
    
    Throws:
    
    IndexOutOfBoundsException - if rowIndex is negative or is not less than List.size()
  - cursor
```
default Cursor cursor()
```
    Returns a Cursor pointing at the first row in this dataframe.
    
    Returns:
    
    a Cursor pointing at the first row in this dataframe.
    
    Throws:
    
    IndexOutOfBoundsException - if this dataframe is empty
  - toMap
```
<K,V> Map<K,V> toMap(int columnIndex)
```
    Returns a map keyed by the elements in the key column, with values from the column at the specified index. The map is an immutable view over the columns (it does not copy the data).
    
    Type Parameters:
    
    K - - the key type. Must match the key column type.
    
    V - - the value type. Must match the specified column type.
    
    Parameters:
    
    columnIndex - - index of a column in this dataframe
    
    Returns:
    
    a map keyed by the elements in the key column, with values from the specified index.
    
    Throws:
    
    IndexOutOfBoundsException - if columnIndex is negative or is not less than columnCount()
  - toMap
```
<K,V> Map<K,V> toMap(String columnName)
```
    Returns a map keyed by the elements in the key column, with values from the column at the specified index. The map is an immutable view over the columns (it does not copy the data).
    
    Type Parameters:
    
    K - - the key type. Must match the key column type.
    
    V - - the value type. Must match the specified column type.
    
    Parameters:
    
    columnName - - name of a column in this dataframe
    
    Returns:
    
    a map keyed by the elements in the key column, with values from the specified index.
    
    Throws:
    
    IllegalArgumentException - if columnName is not a recognized column name in this dataframe
  - toDateSeries
```
DateSeries toDateSeries(int columnIndex)
```
    Returns a DateSeries using the key column from this dataframe as the date column in the time series, and using the specified column as the values column in the time series.
    
    Parameters:
    
    columnIndex - - index of a non-null DoubleColumn in this dataframe
    
    Returns:
    
    a DateSeries built from columns in this dataframe.
    
    Throws:
    
    IllegalStateException - if this dataframe does not have a key column of ColumnType.DATE, or the specified column is not a non-null column of ColumnType.DOUBLE.
  - toDateSeries
```
DateSeries toDateSeries(String columnName)
```
    Returns a DateSeries using the key column from this dataframe as the date column in the time series, and using the specified column as the values column in the time series.
    
    Parameters:
    
    columnName - - name of a non-null DoubleColumn in this dataframe
    
    Returns:
    
    a DateSeries built from columns in this dataframe.
    
    Throws:
    
    IllegalStateException - if this dataframe does not have a key column of ColumnType.DATE, or the specified column is not a non-null column of ColumnType.DOUBLE.
  - hasKeyColumn
```
boolean hasKeyColumn()
```
    Returns true if this dataframe has a key column.
    
    Returns:
    
    true if this dataframe has a key column.
  - keyColumnIndex
```
Integer keyColumnIndex()
```
    Returns the index of the key column, or null if no key column has been specified.
    
    Returns:
    
    the index of the key column, or null if no key column has been specified.
  - keyColumnName
```
String keyColumnName()
```
    Returns the key column name, or null if no key column has been specified.
    
    Returns:
    
    the key column name, or null if no key column has been specified.
  - keyColumnType
```
ColumnType<?> keyColumnType()
```
    Returns the key column type, or null if no key column has been specified.
    
    Returns:
    
    the key column type, or null if no key column has been specified.
  - withKeyColumn
```
DataFrame withKeyColumn(int columnIndex)
```
    Returns a new dataframe which is a shallow copy of this one, but with the key column set to the specified column.
    
    Parameters:
    
    columnIndex - - the key column index
    
    Returns:
    
    a new dataframe with the key column set to the specified column.
    
    Throws:
    
    IndexOutOfBoundsException - if columnIndex is negative or is not less than columnCount()
  - withKeyColumn
```
DataFrame withKeyColumn(String columnName)
```
    Returns a new dataframe which is a shallow copy of this one, but with the key column set to the specified column.
    
    Parameters:
    
    columnName - - name of the column in this dataframe
    
    Returns:
    
    a new dataframe with the key column set to the specified column.
    
    Throws:
    
    IllegalArgumentException - if columnName is not a recognized column name in this dataframe
  - indexOrganize
```
DataFrame indexOrganize(int columnIndex)
```
    Returns a new dataframe with rows sorted by the specified column. The elements in the specified column must be non-null and distinct. The specified column will be set as the key column of the resulting dataframe.
    
    Parameters:
    
    columnIndex - - the key column index
    
    Returns:
    
    a new dataframe with rows sorted by the specified column.
    
    Throws:
    
    IndexOutOfBoundsException - if columnIndex is negative or is not less than columnCount()
  - indexOrganize
```
DataFrame indexOrganize(String columnName)
```
    Returns a new dataframe with rows sorted by the specified column. The elements in the specified column must be non-null and distinct. The specified column will be set as the key column of the resulting dataframe.
    
    Parameters:
    
    columnName - - name of the column in this dataframe
    
    Returns:
    
    a new dataframe with rows sorted by the specified column.
    
    Throws:
    
    IllegalArgumentException - if columnName is not a recognized column name in this dataframe
  - columnCount
```
int columnCount()
```
    Returns the number of columns in this dataframe.
    
    Returns:
    
    the number of columns in this dataframe.
  - columnIndex
```
int columnIndex(String columnName)
```
    Returns the index of the specified column.
    
    Parameters:
    
    columnName - - name of the column in this dataframe
    
    Returns:
    
    the index of the specified column.
    
    Throws:
    
    IllegalArgumentException - if columnName is not a recognized column name in this dataframe
  - columnName
```
String columnName(int columnIndex)
```
    Returns the column name at the specified index.
    
    Parameters:
    
    columnIndex - - the column index
    
    Returns:
    
    the column name at the specified index.
    
    Throws:
    
    IndexOutOfBoundsException - if columnIndex is negative or is not less than columnCount()
  - columnType
```
ColumnType<?> columnType(int columnIndex)
```
    Returns the column type at the specified index.
    
    Parameters:
    
    columnIndex - - the column index
    
    Returns:
    
    the column type at the specified index.
    
    Throws:
    
    IndexOutOfBoundsException - if columnIndex is negative or is not less than columnCount()
  - columnType
```
ColumnType<?> columnType(String columnName)
```
    Returns the column type at the specified index.
    
    Parameters:
    
    columnName - - name of the column in this dataframe
    
    Returns:
    
    the column type at the specified index.
    
    Throws:
    
    IllegalArgumentException - if columnName is not a recognized column name in this dataframe
  - columnMap
```
LinkedHashMap<String,Column<?>> columnMap()
```
    Returns an ordered map where the entries are (name, column) pairs.
    
    Returns:
    
    an ordered map where the entries are (name, column) pairs.
  - columns
```
List<Column<?>> columns()
```
    Returns a list of columns in this dataframe.
    
    Returns:
    
    a list of columns in this dataframe.
  - columnNames
```
List<String> columnNames()
```
    Returns a list of column names in this dataframe.
    
    Returns:
    
    a list of column names in this dataframe.
  - columnTypes
```
List<ColumnType<?>> columnTypes()
```
    Returns a list of column types in this dataframe.
    
    Returns:
    
    a list of column types in this dataframe.
  - withColumn
```
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. If a column already exists with the same name, it will be replaced.
    
    Parameters:
    
    columnName - - name of the column to be added or replaced
    
    column - - the column
    
    Returns:
    
    a new dataframe with the specified column and column name
  - withColumns
```
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. If a column already exists with one of the specified names, it will be replaced.
    
    Parameters:
    
    columnNames - - names of the columns to be added or replaced
    
    columns - - the columns
    
    Returns:
    
    a new dataframe with the specified columns and column names
    
    Throws:
    
    IllegalArgumentException - if the two input arrays have different lengths
  - withColumns
```
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. If a column already exists with one of the specified names, it will be replaced.
    
    Parameters:
    
    columns - - an ordered list of entries containing columns and column names
    
    Returns:
    
    a new dataframe with the specified columns and column names
  - withColumns
```
DataFrame withColumns(DataFrame df)
```
    Returns a new dataframe which is a shallow copy of this one, but including the columns and column names from the provided dataframe. If a column already exists with one of the provided names, it will be replaced.
    
    Parameters:
    
    df - - a dataframe whose columns will be included in the result
    
    Returns:
    
    a new dataframe with the specified columns and column names
  - selectColumns
```
DataFrame selectColumns(List<String> columnNames)
```
    Returns a new dataframe which contains only the specified columns, in the specified order.
    
    Parameters:
    
    columnNames - - the columns names to be included in the result
    
    Returns:
    
    a new dataframe which contains only the specified columns, in the specified order.
  - selectColumns
```
DataFrame selectColumns(String... columnNames)
```
    Returns a new dataframe which contains only the specified columns, in the specified order.
    
    Parameters:
    
    columnNames - - the columns names to be included in the result
    
    Returns:
    
    a new dataframe which contains only the specified columns, in the specified order.
  - selectColumns
```
DataFrame selectColumns(int... columnIndices)
```
    Returns a new dataframe which contains only the specified columns, in the specified order.
    
    Parameters:
    
    columnIndices - - the columns to be included in the result
    
    Returns:
    
    a new dataframe which contains only the specified columns, in the specified order.
  - dropColumns
```
DataFrame dropColumns(Collection<String> columnNames)
```
    Returns a new dataframe which excludes the specified columns.
    
    Parameters:
    
    columnNames - - the columns names to be excluded from the result
    
    Returns:
    
    a new dataframe which excludes the specified columns.
  - dropColumns
```
DataFrame dropColumns(String... columnNames)
```
    Returns a new dataframe which excludes the specified columns.
    
    Parameters:
    
    columnNames - - the columns names to be excluded from the result
    
    Returns:
    
    a new dataframe which excludes the specified columns.
  - dropColumns
```
DataFrame dropColumns(int... columnIndices)
```
    Returns a new dataframe which excludes the specified columns.
    
    Parameters:
    
    columnIndices - - the columns to be excluded from the result
    
    Returns:
    
    a new dataframe which excludes the specified columns.
  - column
```
<T> Column<T> column(int columnIndex)
```
    Returns the Column at the specified index.
    
    Type Parameters:
    
    T - - the return type. Must be compatible with the column type. No attempt is made to convert between types beyond a cast.
    
    Parameters:
    
    columnIndex - - index of the column
    
    Returns:
    
    the column at the specified index.
    
    Throws:
    
    IndexOutOfBoundsException - if columnIndex is negative or is not less than columnCount()
    
    ClassCastException - if the column type does not match the return type.
  - stringColumn
```
StringColumn stringColumn(int columnIndex)
```
    Returns the StringColumn at the specified index.
    
    Parameters:
    
    columnIndex - - index of the column
    
    Returns:
    
    the column at the specified index
    
    Throws:
    
    IndexOutOfBoundsException - if columnIndex is negative or is not less than columnCount()
    
    ClassCastException - if the column is not a StringColumn
  - decimalColumn
```
DecimalColumn decimalColumn(int columnIndex)
```
    Returns the DecimalColumn at the specified index.
    
    Parameters:
    
    columnIndex - - index of the column
    
    Returns:
    
    the column at the specified index
    
    Throws:
    
    IndexOutOfBoundsException - if columnIndex is negative or is not less than columnCount()
    
    ClassCastException - if the column is not a DecimalColumn
  - booleanColumn
```
BooleanColumn booleanColumn(int columnIndex)
```
    Returns the BooleanColumn at the specified index.
    
    Parameters:
    
    columnIndex - - index of the column
    
    Returns:
    
    the column at the specified index
    
    Throws:
    
    IndexOutOfBoundsException - if columnIndex is negative or is not less than columnCount()
    
    ClassCastException - if the column is not a BooleanColumn
  - intColumn
```
IntColumn intColumn(int columnIndex)
```
    Returns the IntColumn at the specified index.
    
    Parameters:
    
    columnIndex - - index of the column
    
    Returns:
    
    the column at the specified index
    
    Throws:
    
    IndexOutOfBoundsException - if columnIndex is negative or is not less than columnCount()
    
    ClassCastException - if the column is not a IntColumn
  - longColumn
```
LongColumn longColumn(int columnIndex)
```
    Returns the LongColumn at the specified index.
    
    Parameters:
    
    columnIndex - - index of the column
    
    Returns:
    
    the column at the specified index
    
    Throws:
    
    IndexOutOfBoundsException - if columnIndex is negative or is not less than columnCount()
    
    ClassCastException - if the column is not a LongColumn
  - shortColumn
```
ShortColumn shortColumn(int columnIndex)
```
    Returns the ShortColumn at the specified index.
    
    Parameters:
    
    columnIndex - - index of the column
    
    Returns:
    
    the column at the specified index
    
    Throws:
    
    IndexOutOfBoundsException - if columnIndex is negative or is not less than columnCount()
    
    ClassCastException - if the column is not a ShortColumn
  - doubleColumn
```
DoubleColumn doubleColumn(int columnIndex)
```
    Returns the DoubleColumn at the specified index.
    
    Parameters:
    
    columnIndex - - index of the column
    
    Returns:
    
    the column at the specified index
    
    Throws:
    
    IndexOutOfBoundsException - if columnIndex is negative or is not less than columnCount()
    
    ClassCastException - if the column is not a DoubleColumn
  - floatColumn
```
FloatColumn floatColumn(int columnIndex)
```
    Returns the FloatColumn at the specified index.
    
    Parameters:
    
    columnIndex - - index of the column
    
    Returns:
    
    the column at the specified index
    
    Throws:
    
    IndexOutOfBoundsException - if columnIndex is negative or is not less than columnCount()
    
    ClassCastException - if the column is not a FloatColumn
  - dateColumn
```
DateColumn dateColumn(int columnIndex)
```
    Returns the DateColumn at the specified index.
    
    Parameters:
    
    columnIndex - - index of the column
    
    Returns:
    
    the column at the specified index
    
    Throws:
    
    IndexOutOfBoundsException - if columnIndex is negative or is not less than columnCount()
    
    ClassCastException - if the column is not a DateColumn
  - dateTimeColumn
```
DateTimeColumn dateTimeColumn(int columnIndex)
```
    Returns the DateTimeColumn at the specified index.
    
    Parameters:
    
    columnIndex - - index of the column
    
    Returns:
    
    the column at the specified index
    
    Throws:
    
    IndexOutOfBoundsException - if columnIndex is negative or is not less than columnCount()
    
    ClassCastException - if the column is not a DateTimeColumn
  - column
```
<T> Column<T> column(String columnName)
```
    Returns the specified Column
    
    Type Parameters:
    
    T - - the return type. Must be compatible with the column type. No attempt is made to convert between types beyond a cast.
    
    Parameters:
    
    columnName - - column name
    
    Returns:
    
    the specified column
    
    Throws:
    
    IllegalArgumentException - if columnName is not a recognized column name in this dataframe.
    
    ClassCastException - if the column type does not match the return type.
  - stringColumn
```
StringColumn stringColumn(String columnName)
```
    Returns the specified StringColumn
    
    Parameters:
    
    columnName - - column name
    
    Returns:
    
    the specified column
    
    Throws:
    
    IllegalArgumentException - if columnName is not a recognized column name in this dataframe.
    
    ClassCastException - if the column is not a StringColumn
  - decimalColumn
```
DecimalColumn decimalColumn(String columnName)
```
    Returns the specified DecimalColumn
    
    Parameters:
    
    columnName - - column name
    
    Returns:
    
    the specified column
    
    Throws:
    
    IllegalArgumentException - if columnName is not a recognized column name in this dataframe.
    
    ClassCastException - if the column is not a DecimalColumn
  - booleanColumn
```
BooleanColumn booleanColumn(String columnName)
```
    Returns the specified BooleanColumn
    
    Parameters:
    
    columnName - - column name
    
    Returns:
    
    the specified column
    
    Throws:
    
    IllegalArgumentException - if columnName is not a recognized column name in this dataframe.
    
    ClassCastException - if the column is not a BooleanColumn
  - intColumn
```
IntColumn intColumn(String columnName)
```
    Returns the specified IntColumn
    
    Parameters:
    
    columnName - - column name
    
    Returns:
    
    the specified column
    
    Throws:
    
    IllegalArgumentException - if columnName is not a recognized column name in this dataframe.
    
    ClassCastException - if the column is not a IntColumn
  - longColumn
```
LongColumn longColumn(String columnName)
```
    Returns the specified LongColumn
    
    Parameters:
    
    columnName - - column name
    
    Returns:
    
    the specified column
    
    Throws:
    
    IllegalArgumentException - if columnName is not a recognized column name in this dataframe.
    
    ClassCastException - if the column is not a LongColumn
  - shortColumn
```
ShortColumn shortColumn(String columnName)
```
    Returns the specified ShortColumn
    
    Parameters:
    
    columnName - - column name
    
    Returns:
    
    the specified column
    
    Throws:
    
    IllegalArgumentException - if columnName is not a recognized column name in this dataframe.
    
    ClassCastException - if the column is not a ShortColumn
  - doubleColumn
```
DoubleColumn doubleColumn(String columnName)
```
    Returns the specified DoubleColumn
    
    Parameters:
    
    columnName - - column name
    
    Returns:
    
    the specified column
    
    Throws:
    
    IllegalArgumentException - if columnName is not a recognized column name in this dataframe.
    
    ClassCastException - if the column is not a DoubleColumn
  - floatColumn
```
FloatColumn floatColumn(String columnName)
```
    Returns the specified FloatColumn
    
    Parameters:
    
    columnName - - column name
    
    Returns:
    
    the specified column
    
    Throws:
    
    IllegalArgumentException - if columnName is not a recognized column name in this dataframe.
    
    ClassCastException - if the column is not a FloatColumn
  - dateColumn
```
DateColumn dateColumn(String columnName)
```
    Returns the specified DateColumn
    
    Parameters:
    
    columnName - - column name
    
    Returns:
    
    the specified column
    
    Throws:
    
    IllegalArgumentException - if columnName is not a recognized column name in this dataframe.
    
    ClassCastException - if the column is not a DateColumn
  - dateTimeColumn
```
DateTimeColumn dateTimeColumn(String columnName)
```
    Returns the specified DateTimeColumn
    
    Parameters:
    
    columnName - - column name
    
    Returns:
    
    the specified column
    
    Throws:
    
    IllegalArgumentException - if columnName is not a recognized column name in this dataframe.
    
    ClassCastException - if the column is not a DateTimeColumn
  - deriveColumn
```
<T> Column<T> deriveColumn(ColumnType<T> type,
                           Function<Row,T> function)
```
    Derive a new Column from the rows of this dataframe. The new column will have the same size as this dataframe, and each element will have been derived from the corresponding row.
    
    Type Parameters:
    
    T - - the return type. Must be compatible with the column type. No attempt is made to convert between types beyond a cast.
    
    Parameters:
    
    type - - the new column's type
    
    function - - the function used to compute column elements from dataframe rows
    
    Returns:
    
    the derived column
    
    Throws:
    
    ClassCastException - if the column type does not match the return type.
  - deriveColumn
```
IntColumn deriveColumn(ToIntFunction<Row> function)
```
    Derive a new IntColumn from the rows of this dataframe. The new column will have the same size as this dataframe, and each element will have been derived from the corresponding row.
    
    Parameters:
    
    function - - the function used to compute column elements from dataframe rows
    
    Returns:
    
    the derived column
  - deriveColumn
```
LongColumn deriveColumn(ToLongFunction<Row> function)
```
    Derive a new LongColumn from the rows of this dataframe. The new column will have the same size as this dataframe, and each element will have been derived from the corresponding row.
    
    Parameters:
    
    function - - the function used to compute column elements from dataframe rows
    
    Returns:
    
    the derived column
  - deriveColumn
```
DoubleColumn deriveColumn(ToDoubleFunction<Row> function)
```
    Derive a new DoubleColumn from the rows of this dataframe. The new column will have the same size as this dataframe, and each element will have been derived from the corresponding row.
    
    Parameters:
    
    function - - the function used to compute column elements from dataframe rows
    
    Returns:
    
    the derived column
  - deriveColumn
```
FloatColumn deriveColumn(ToFloatFunction<Row> function)
```
    Derive a new FloatColumn from the rows of this dataframe. The new column will have the same size as this dataframe, and each element will have been derived from the corresponding row.
    
    Parameters:
    
    function - - the function used to compute column elements from dataframe rows
    
    Returns:
    
    the derived column
  - deriveColumn
```
BooleanColumn deriveColumn(Predicate<Row> function)
```
    Derive a new BooleanColumn from the rows of this dataframe. The new column will have the same size as this dataframe, and each element will have been derived from the corresponding row.
    
    Parameters:
    
    function - - the function used to compute column elements from dataframe rows
    
    Returns:
    
    the derived column
  - sampleN
```
DataFrame sampleN(int sampleSize)
```
    Returns a dataframe containing sampleSize rows selected at random. The rows in the resulting dataframe will be in the same order as in this one.
    
    Parameters:
    
    sampleSize - - the number of rows to sample from this dataframe
    
    Returns:
    
    a dataframe containing sampleSize rows selected at random.
    
    Throws:
    
    IndexOutOfBoundsException - if sampleSize is negative or is greater than #size()
  - sampleX
```
DataFrame sampleX(double proportion)
```
    Returns a dataframe containing size()*proportion rows selected at random. The rows in the resulting dataframe will be in the same order as in this one.
    
    Parameters:
    
    proportion - - a number between 0.0 and 1.0 inclusive
    
    Returns:
    
    a dataframe containing size()*proportion rows selected at random.
  - head
```
DataFrame head(int count)
```
    Returns a dataframe containing the first count rows from this dataframe, or this dataframe if it contains fewer than count rows.
    
    Parameters:
    
    count - - number of rows to return from the "top" or "head" of this dataframe.
    
    Returns:
    
    a dataframe containing the first count rows from this dataframe.
  - empty
```
default DataFrame empty()
```
    Returns an empty dataframe. The resulting dataframe will have the same meta-data (column names, key column index) as this dataframe, but all of the columns will be empty.
    
    Returns:
    
    an empty dataframe with the same meta-data as this dataframe.
  - head
```
default DataFrame head()
```
    Returns a dataframe containing the first 10 rows from this dataframe, or this dataframe if it contains fewer than 10 rows.
    
    Returns:
    
    a dataframe containing the first 10 rows from this dataframe.
  - tail
```
DataFrame tail(int count)
```
    Returns a dataframe containing the last count rows from this dataframe, or this dataframe if it contains fewer than count rows.
    
    Parameters:
    
    count - - number of rows to return from the "end" or "tail" of this dataframe.
    
    Returns:
    
    a dataframe containing the last count rows from this dataframe.
  - tail
```
default DataFrame tail()
```
    Returns a dataframe containing the last 10 rows from this dataframe, or this dataframe if it contains fewer than 10 rows.
    
    Returns:
    
    a dataframe containing the last 10 rows from this dataframe.
  - subFrame
```
DataFrame subFrame(int fromIndex,
                   int toIndex)
```
    Returns a dataframe containing the rows between the specified fromIndex, inclusive, and toIndex, exclusive (if fromIndex and toIndex are equal, the returned dataframe is empty).
    
    Parameters:
    
    fromIndex - - index of the lowest row (inclusive)
    
    toIndex - - index of the highest row (exclusive)
    
    Returns:
    
    a dataframe containing the rows between the specified fromIndex, inclusive, and toIndex, exclusive
    
    Throws:
    
    IndexOutOfBoundsException - if either index is negative or is greater than List.size(), or if toIndex is less than fromIndex
  - headTo
```
DataFrame headTo(Object toKey)
```
    Returns a dataframe containing the rows whose key column values are strictly less than toKey.
    
    Parameters:
    
    toKey - high endpoint (exclusive) of the key column values in the returned dataframe
    
    Returns:
    
    the rows from this dataframe whose key column values are strictly less than toKey.
    
    Throws:
    
    UnsupportedOperationException - if this dataframe does not contain a key column
    
    ClassCastException - if toKey is not compatible with this dataframe's key column type
    
    NullPointerException - if toKey is null
  - tailFrom
```
DataFrame tailFrom(Object fromKey)
```
    Returns a dataframe containing the rows whose key column values are greater than or equal to fromKey.
    
    Parameters:
    
    fromKey - low endpoint (inclusive) of the key column values in the returned dataframe
    
    Returns:
    
    the rows from this dataframe whose key column values are greater than or equal to fromKey.
    
    Throws:
    
    UnsupportedOperationException - if this dataframe does not contain a key column
    
    ClassCastException - if fromKey is not compatible with this dataframe's key column type
    
    NullPointerException - if fromKey is null
  - subFrameByValue
```
default DataFrame subFrameByValue(Object fromKey,
                                  Object toKey)
```
    Returns a dataframe containing the rows whose key column values are greater than or equal to fromKey and strictly less than toKey.
    
    Parameters:
    
    fromKey - low endpoint (inclusive) of the key column values in the returned dataframe
    
    toKey - high endpoint (exclusive) of the key column values in the returned dataframe
    
    Returns:
    
    the rows from this dataframe whose key column values are greater than or equal to fromKey and strictly less than toKey.
    
    Throws:
    
    UnsupportedOperationException - if this dataframe does not contain a key column
    
    ClassCastException - if either key is not compatible with this dataframe's key column type
    
    NullPointerException - if either key is null
  - subFrameByValue
```
DataFrame subFrameByValue(Object fromKey,
                          boolean fromInclusive,
                          Object toKey,
                          boolean toInclusive)
```
    Returns a dataframe containing the rows whose key column values are between fromKey and toKey. If fromKey and toKey are equal, the resulting dataframe is empty unless fromInclusive and toInclusive are both true.
    
    Parameters:
    
    fromKey - low endpoint of the key column values in the returned dataframe
    
    fromInclusive - true if the low endpoint is to be included in the result
    
    toKey - high endpoint of the key column values in the returned dataframe
    
    toInclusive - true if the high endpoint is to be included in the result
    
    Returns:
    
    the rows from this dataframe whose key column values are between the fromKey and toKey.
    
    Throws:
    
    UnsupportedOperationException - if this dataframe does not contain a key column
    
    ClassCastException - if either key is not compatible with this dataframe's key column type
    
    NullPointerException - if either key is null
  - filter
```
DataFrame filter(Predicate<Row> criteria)
```
    Returns a dataframe containing the rows which pass the specified Predicate.
    
    Parameters:
    
    criteria - - the Predicate used to filter the rows in this dataframe
    
    Returns:
    
    a dataframe containing the rows which pass the specified Predicate.
  - filterNulls
```
DataFrame filterNulls()
```
    Returns a dataframe containing the rows which do not contain any null values.
    
    Returns:
    
    a dataframe containing the rows which do not contain any null values.
  - append
```
DataFrame append(DataFrame df)
```
    Appends the specified dataframe to this one by calling Column.append(Column) on each pair of columns, and keeping the meta-data from this dataframe.
    
    Parameters:
    
    df - - the dataframe to be appended to this one
    
    Returns:
    
    a new dataframe resulting from appended the specified dataframe to this one.
    
    Throws:
    
    IllegalArgumentException - if the column counts or types do not match between the two dataframes
  - append
```
DataFrame append(DataFrame df,
                 boolean coerce)
```
    Appends the specified dataframe to this one by calling Column.append(Column,boolean) on each pair of columns, and keeping the meta-data from this dataframe.
    
    Parameters:
    
    df - - the dataframe to be appended to this one
    
    coerce - - specifies if a sole sorted column should be converted to a heap
    
    Returns:
    
    a new dataframe resulting from appended the specified dataframe to this one.
    
    Throws:
    
    IllegalArgumentException - if the column counts or types do not match between the two dataframes
  - join
```
DataFrame join(DataFrame df)
```
    Perform a one-to-one inner join on this (left) dataframe with the specified (right) dataframe by their key columns. The resulting dataframe will have a key column which is the intersection of the left and right key columns.
    If the left dataframe has N columns and the right has M columns then the resulting dataframe will have N + M - 1 columns, starting with all N columns from the left dataframe, followed by the columns from the right dataframe excluding the right key column. If the right dataframe has any column names in common with the left, the duplicate right column names will have a suffix appended to them in the result.
    If the left dataframe has S rows and the right has T rows then this join operation will use O(S + T) space and time. The space overhead is approximately S + T bits. The result will contain at most min(S, T) rows, and will be empty if the two key columns do not have any elements in common.
    
    Parameters:
    
    df - - the right dataframe to be joined with this left one
    
    Returns:
    
    a new dataframe formed by the intersection of the left and right key columns.
    
    Throws:
    
    IllegalArgumentException - if either dataframe does not have a key column, or if the key columns do not have the same type.
  - joinOneToMany
```
DataFrame joinOneToMany(DataFrame df,
                        String rightColumnName)
```
    Perform a one-to-many inner join on this (left) dataframe with the specified (right) dataframe using the key column from the left dataframe. Elements from the specified column in the right dataframe will be matched against the key column using a binary search.
    If the left dataframe has N columns and the right has M columns then the resulting dataframe will have N + M - 1 columns, starting with all N columns from the left dataframe, followed by the columns from the right dataframe excluding the specified non-index column. If the right dataframe has any column names in common with the left, the duplicate right column names will have a suffix appended to them in the result.
    If the left dataframe has S rows and the right has T rows then this join operation will use O(T) space and run in O(T*log(S)) time. The space overhead is approximately T*(4 bytes + 1 bit).
    
    Parameters:
    
    df - - the right dataframe to be joined with this left one
    
    rightColumnName - - name of the column in the right dataframe which will be matched against the key column from the left dataframe
    
    Returns:
    
    a new dataframe formed by the one-to-many inner join of this dataframe with the specified dataframe on the specified column
    
    Throws:
    
    IllegalArgumentException - if this dataframe does not have a key column, or the specified column name is not recognized in the right dataframe, or the key column and specified column do not have the same type.
  - joinManyToOne
```
DataFrame joinManyToOne(DataFrame df,
                        String leftColumnName)
```
    Perform a many-to-one inner join on this (left) dataframe with the specified (right) dataframe using the key column from the right dataframe. Elements from the specified column in the left dataframe will be matched against the key column using a binary search.
    If the left dataframe has N columns and the right has M columns then the resulting dataframe will have N + M - 1 columns, starting with all N columns from the left dataframe, followed by the columns from the right dataframe excluding the key column. If the right dataframe has any column names in common with the left, the duplicate right column names will have a suffix appended to them in the result.
    If the left dataframe has S rows and the right has T rows then this join operation will use O(S) space and run in O(S*log(T)) time. The space overhead is approximately S*(4 bytes + 1 bit).
    
    Parameters:
    
    df - - the right dataframe to be joined with this left one
    
    leftColumnName - - name of the column in the left dataframe which will be matched against the key column from the right dataframe
    
    Returns:
    
    a new dataframe formed by the many-to-one inner join of this dataframe with the specified dataframe on the specified column
    
    Throws:
    
    IllegalArgumentException - if the specified dataframe does not have a key column, or the specified column name is not recognized in this dataframe, or the key column and specified column do not have the same type.
  - joinLeftOneToMany
```
DataFrame joinLeftOneToMany(DataFrame df,
                            String rightColumnName)
```
    Perform a one-to-many left join on this (left) dataframe with the specified (right) dataframe using the key column from the left dataframe. Elements from the specified column in the right dataframe will be matched against the key column using a binary search. Any unmatched rows from this dataframe will appear in the resulting dataframe with null values filled in for the columns from the right dataframe.
    If the left dataframe has N columns and the right has M columns then the resulting dataframe will have N + M - 1 columns, starting with all N columns from the left dataframe, followed by the columns from the right dataframe excluding the specified non-index column. If the right dataframe has any column names in common with the left, the duplicate right column names will have a suffix appended to them in the result.
    If the left dataframe has S rows and the right has T rows then this join operation will use O(S + T) space and run in O(T*log(S)) time. The space overhead is approximately S bits, plus T*(4 bytes + 1 bit).
    
    Parameters:
    
    df - - the right dataframe to be joined with this left one
    
    rightColumnName - - name of the column in the right dataframe which will be matched against the key column from the left dataframe
    
    Returns:
    
    a new dataframe formed by the one-to-many left join of this dataframe with the specified dataframe on the specified column
    
    Throws:
    
    IllegalArgumentException - if this dataframe does not have a key column, or the specified column name is not recognized in the right dataframe, or the key column and specified column do not have the same type.
  - join
```
DataFrame join(DataFrame df,
               String[] leftColumnNames,
               String[] rightColumnNames)
```
    Perform a one-to-many inner join on this (left) dataframe with the specified (right) dataframe by building a hashtable index on the specified left columns. The left columns taken together must form a unique index.
    If the left dataframe has N columns, the right has M columns, and the hashtable index has H columns then the resulting dataframe will have N + M - H columns, starting with all N columns from the left dataframe, followed by the columns from the right dataframe excluding the hashtable index columns. If the right dataframe has any column names in common with the left, the duplicate right column names will have a suffix appended to them in the result.
    If the left dataframe has S rows and the right has T rows then this join operation will use O(S + T) space and time. The space overhead is approximately T bits, plus the space required by an <Integer,Integer> HashMap with S entries, plus an additional S*8 bytes.
    
    Parameters:
    
    df - - the right dataframe to be joined with this left one
    
    leftColumnNames - - names of columns in this (left) dataframe, which taken together form a unique index
    
    rightColumnNames - - corresponding columns in the specified (right) dataframe
    
    Returns:
    
    a new dataframe formed by the one-to-many inner join of this dataframe with the specified dataframe on the specified columns
    
    Throws:
    
    IllegalStateException - if the left columns taken together do not form a unique index
    
    IllegalArgumentException - if either list of column names is empty, if the two lists do not have the same length, if the respective columns do not have the same types, or if any of the column names are not recognized.
  - writeTo
```
void writeTo(File file)
      throws IOException
```
    Saves this dataframe to a file in a binary format.
    
    Parameters:
    
    file - - the file to be (over)written.
    
    Throws:
    
    IOException - if some I/O error occurs
  - writeTo
```
void writeTo(WritableByteChannel channel)
      throws IOException
```
    Writes this dataframe to the specified WritableByteChannel.
    
    Parameters:
    
    channel - - the channel to be written to
    
    Throws:
    
    IOException - if some I/O error occurs
  - writeCsvTo
```
void writeCsvTo(File file)
         throws IOException
```
    Save this dataframe to an RFC 4180 compliant CSV file, encoded with UTF-8.
    Individual elements are written using their toString methods. null values are written as empty fields. For column type STRING, empty strings are written as "".
    
    Parameters:
    
    file - - the file to be (over)written.
    
    Throws:
    
    IOException - if some I/O error occurs
  - writeCsvTo
```
void writeCsvTo(OutputStream os)
         throws IOException
```
    Write this dataframe as an RFC 4180 compliant CSV to the specified OutputStream, encoded with UTF-8.
    Individual elements are written using their toString methods. null values are written as empty fields. For column type STRING, empty strings are written as "".
    
    Parameters:
    
    os - - the output stream to be written to. OutputStream will be closed by this method.
    
    Throws:
    
    IOException - if some I/O error occurs
  - writeTo
```
void writeTo(PreparedStatement ps,
             WriteToDbConfig config)
      throws SQLException
```
    Writes this dataframe to the specified PreparedStatement using the specified configuration.
    The connection returned by Statement.getConnection() must have autocommit turned off.
    
    Parameters:
    
    ps - - the PreparedStatement to write rows to
    
    config - - the configuration for writing this dataframe to the PreparedStatement.
    
    Throws:
    
    SQLException - if some SQL or database error occurs
    
    IllegalStateException - if the connection used to create the PreparedStatement has autocommit turned on.
    
    See Also:
    
    WriteToDbConfig
  - writeTo
```
default void writeTo(PreparedStatement ps)
              throws SQLException
```
    Equivalent to writeTo(ps, WriteToDbConfig.DEFAULT_CONFIG)
    
    Parameters:
    
    ps - - the PreparedStatement to write rows to
    
    Throws:
    
    SQLException - if some SQL or database error occurs
  - isNull
```
boolean isNull(int rowIndex,
               int columnIndex)
```
    Returns true if the value is null in the specified Column at the specified row index.
    
    Parameters:
    
    rowIndex - - the row index
    
    columnIndex - - index of the column in this DataFrame.
    
    Returns:
    
    true if the value is null in the specified Column at the specified row index.
    
    Throws:
    
    IndexOutOfBoundsException - if rowIndex is negative or is not less than List.size()
    
    IndexOutOfBoundsException - if columnIndex is negative or is not less than columnCount()
  - isNull
```
boolean isNull(int rowIndex,
               String columnName)
```
    Returns true if the value is null in the specified Column at the specified row index.
    
    Parameters:
    
    rowIndex - - the row index
    
    columnName - - name of the column in this DataFrame.
    
    Returns:
    
    true if the value is null in the specified Column at the specified row index.
    
    Throws:
    
    IndexOutOfBoundsException - if rowIndex is negative or is not less than List.size()
    
    IllegalArgumentException - if columnName is not a recognized column name in this dataframe.
  - get
```
<T> T get(int rowIndex,
          int columnIndex)
```
    Returns the value for the specified row in the specified Column.
    
    Type Parameters:
    
    T - - the return type. Must be compatible with the column type. No attempt is made to convert between types beyond a cast.
    
    Parameters:
    
    rowIndex - - the row index
    
    columnIndex - - index of the column in this DataFrame.
    
    Returns:
    
    the value for the specified row in the specified Column.
    
    Throws:
    
    IndexOutOfBoundsException - if rowIndex is negative or is not less than List.size()
    
    IndexOutOfBoundsException - if columnIndex is negative or is not less than columnCount()
    
    ClassCastException - if the column type does not match the return type.
  - get
```
<T> T get(int rowIndex,
          String columnName)
```
    Returns the value for the specified row in the specified Column.
    
    Type Parameters:
    
    T - - the return type. Must be compatible with the column type. No attempt is made to convert between types beyond a cast.
    
    Parameters:
    
    rowIndex - - the row index
    
    columnName - - name of the column in this DataFrame.
    
    Returns:
    
    the value for the specified row in the specified Column.
    
    Throws:
    
    IndexOutOfBoundsException - if rowIndex is negative or is not less than List.size()
    
    IllegalArgumentException - if columnName is not a recognized column name in this dataframe.
    
    ClassCastException - if the column type does not match the return type.
  - getString
```
String getString(int rowIndex,
                 int columnIndex)
```
    Returns the value for the specified row in the specified StringColumn.
    
    Parameters:
    
    rowIndex - - the row index
    
    columnIndex - - index of the column in this DataFrame.
    
    Returns:
    
    the value for the specified row in the specified StringColumn.
    
    Throws:
    
    IndexOutOfBoundsException - if columnIndex is negative or is not less than columnCount()
    
    ClassCastException - if the column is not a StringColumn
  - getString
```
String getString(int rowIndex,
                 String columnName)
```
    Returns the value for the specified row in the specified StringColumn.
    
    Parameters:
    
    rowIndex - - the row index
    
    columnName - - name of the column in this DataFrame.
    
    Returns:
    
    the value for the specified row in the specified StringColumn.
    
    Throws:
    
    IndexOutOfBoundsException - if rowIndex is negative or is not less than List.size()
    
    IllegalArgumentException - if columnName is not a recognized column name in this dataframe.
    
    ClassCastException - if the column is not a DateColumn
  - getBigDecimal
```
BigDecimal getBigDecimal(int rowIndex,
                         int columnIndex)
```
    Returns the value for the specified row in the specified DecimalColumn.
    
    Parameters:
    
    rowIndex - - the row index
    
    columnIndex - - index of the column in this DataFrame.
    
    Returns:
    
    the value for the specified row in the specified DecimalColumn.
    
    Throws:
    
    IndexOutOfBoundsException - if columnIndex is negative or is not less than columnCount()
    
    ClassCastException - if the column is not a StringColumn
  - getBigDecimal
```
BigDecimal getBigDecimal(int rowIndex,
                         String columnName)
```
    Returns the value for the specified row in the specified DecimalColumn.
    
    Parameters:
    
    rowIndex - - the row index
    
    columnName - - name of the column in this DataFrame.
    
    Returns:
    
    the value for the specified row in the specified DecimalColumn.
    
    Throws:
    
    IndexOutOfBoundsException - if rowIndex is negative or is not less than List.size()
    
    IllegalArgumentException - if columnName is not a recognized column name in this dataframe.
    
    ClassCastException - if the column is not a DateColumn
  - getBoolean
```
boolean getBoolean(int rowIndex,
                   int columnIndex)
```
    boolean primitive specialization of get(int,int).
    
    Parameters:
    
    rowIndex - - the row index
    
    columnIndex - - index of the column in this DataFrame.
    
    Returns:
    
    the value for the specified row in the specified BooleanColumn.
    
    Throws:
    
    IndexOutOfBoundsException - if rowIndex is negative or is not less than List.size()
    
    IndexOutOfBoundsException - if columnIndex is negative or is not less than columnCount()
    
    ClassCastException - if the column is not a BooleanColumn
  - getBoolean
```
boolean getBoolean(int rowIndex,
                   String columnName)
```
    boolean primitive specialization of get(int,String).
    
    Parameters:
    
    rowIndex - - the row index
    
    columnName - - name of the column in this DataFrame.
    
    Returns:
    
    the value for the specified row in the specified BooleanColumn.
    
    Throws:
    
    IndexOutOfBoundsException - if rowIndex is negative or is not less than List.size()
    
    IllegalArgumentException - if columnName is not a recognized column name in this dataframe.
    
    ClassCastException - if the column is not a BooleanColumn
  - getInt
```
int getInt(int rowIndex,
           int columnIndex)
```
    int primitive specialization of get(int,int).
    
    Parameters:
    
    rowIndex - - the row index
    
    columnIndex - - index of the column in this DataFrame.
    
    Returns:
    
    the value for the specified row in the specified IntColumn.
    
    Throws:
    
    IndexOutOfBoundsException - if rowIndex is negative or is not less than List.size()
    
    IndexOutOfBoundsException - if columnIndex is negative or is not less than columnCount()
    
    ClassCastException - if the column is not a IntColumn
  - getInt
```
int getInt(int rowIndex,
           String columnName)
```
    int primitive specialization of get(int,String).
    
    Parameters:
    
    rowIndex - - the row index
    
    columnName - - name of the column in this DataFrame.
    
    Returns:
    
    the value for the specified row in the specified IntColumn.
    
    Throws:
    
    IndexOutOfBoundsException - if rowIndex is negative or is not less than List.size()
    
    IllegalArgumentException - if columnName is not a recognized column name in this dataframe.
    
    ClassCastException - if the column is not an IntColumn
  - getOrDefaultInt
```
default int getOrDefaultInt(int rowIndex,
                            int columnIndex,
                            int defaultValue)
```
    Returns the value for the specified row in the specified IntColumn, or the specified defaultValue if the value is null.
    
    Parameters:
    
    rowIndex - - the row index
    
    columnIndex - - index of the column in this DataFrame.
    
    defaultValue - - the value to return instead of null
    
    Returns:
    
    the value for the specified row in the specified IntColumn, or the specified defaultValue if the value is null.
    
    Throws:
    
    IndexOutOfBoundsException - if rowIndex is negative or is not less than List.size()
    
    IndexOutOfBoundsException - if columnIndex is negative or is not less than columnCount()
    
    ClassCastException - if the column is not an IntColumn
  - getOrDefaultInt
```
default int getOrDefaultInt(int rowIndex,
                            String columnName,
                            int defaultValue)
```
    Returns the value for the specified row in the specified IntColumn, or the specified defaultValue if the value is null.
    
    Parameters:
    
    rowIndex - - the row index
    
    columnName - - name of the column in this DataFrame.
    
    defaultValue - - the value to return instead of null
    
    Returns:
    
    the value for the specified row in the specified IntColumn, or the specified defaultValue if the value is null.
    
    Throws:
    
    IndexOutOfBoundsException - if rowIndex is negative or is not less than List.size()
    
    IllegalArgumentException - if columnName is not a recognized column name in this dataframe.
    
    ClassCastException - if the column is not an IntColumn
  - getLong
```
long getLong(int rowIndex,
             int columnIndex)
```
    long primitive specialization of get(int,int).
    
    Parameters:
    
    rowIndex - - the row index
    
    columnIndex - - index of the column in this DataFrame.
    
    Returns:
    
    the value for the specified row in the specified LongColumn.
    
    Throws:
    
    IndexOutOfBoundsException - if rowIndex is negative or is not less than List.size()
    
    IndexOutOfBoundsException - if columnIndex is negative or is not less than columnCount()
    
    ClassCastException - if the column is not a LongColumn
  - getLong
```
long getLong(int rowIndex,
             String columnName)
```
    long primitive specialization of get(int,String).
    
    Parameters:
    
    rowIndex - - the row index
    
    columnName - - name of the column in this DataFrame.
    
    Returns:
    
    the value for the specified row in the specified LongColumn.
    
    Throws:
    
    IllegalArgumentException - if columnName is not a recognized column name in this dataframe.
    
    ClassCastException - if the column is not a LongColumn
  - getOrDefaultLong
```
default long getOrDefaultLong(int rowIndex,
                              int columnIndex,
                              long defaultValue)
```
    Returns the value for the specified row in the specified LongColumn, or the specified defaultValue if the value is null.
    
    Parameters:
    
    rowIndex - - the row index
    
    columnIndex - - index of the column in this DataFrame.
    
    defaultValue - - the value to return instead of null
    
    Returns:
    
    the value for the specified row in the specified LongColumn, or the specified defaultValue if the value is null.
    
    Throws:
    
    IndexOutOfBoundsException - if rowIndex is negative or is not less than List.size()
    
    IndexOutOfBoundsException - if columnIndex is negative or is not less than columnCount()
    
    ClassCastException - if the column is not an LongColumn
  - getOrDefaultLong
```
default long getOrDefaultLong(int rowIndex,
                              String columnName,
                              long defaultValue)
```
    Returns the value for the specified row in the specified LongColumn, or the specified defaultValue if the value is null.
    
    Parameters:
    
    rowIndex - - the row index
    
    columnName - - name of the column in this DataFrame.
    
    defaultValue - - the value to return instead of null
    
    Returns:
    
    the value for the specified row in the specified LongColumn, or the specified defaultValue if the value is null.
    
    Throws:
    
    IndexOutOfBoundsException - if rowIndex is negative or is not less than List.size()
    
    IllegalArgumentException - if columnName is not a recognized column name in this dataframe.
    
    ClassCastException - if the column is not an LongColumn
  - getShort
```
short getShort(int rowIndex,
               int columnIndex)
```
    short primitive specialization of get(int,int).
    
    Parameters:
    
    rowIndex - - the row index
    
    columnIndex - - index of the column in this DataFrame.
    
    Returns:
    
    the value for the specified row in the specified ShortColumn.
    
    Throws:
    
    IndexOutOfBoundsException - if rowIndex is negative or is not less than List.size()
    
    IndexOutOfBoundsException - if columnIndex is negative or is not less than columnCount()
    
    ClassCastException - if the column is not a ShortColumn
  - getShort
```
short getShort(int rowIndex,
               String columnName)
```
    short primitive specialization of get(int,String).
    
    Parameters:
    
    rowIndex - - the row index
    
    columnName - - name of the column in this DataFrame.
    
    Returns:
    
    the value for the specified row in the specified ShortColumn.
    
    Throws:
    
    IllegalArgumentException - if columnName is not a recognized column name in this dataframe.
    
    ClassCastException - if the column is not a ShortColumn
  - getOrDefaultShort
```
default long getOrDefaultShort(int rowIndex,
                               int columnIndex,
                               short defaultValue)
```
    Returns the value for the specified row in the specified ShortColumn, or the specified defaultValue if the value is null.
    
    Parameters:
    
    rowIndex - - the row index
    
    columnIndex - - index of the column in this DataFrame.
    
    defaultValue - - the value to return instead of null
    
    Returns:
    
    the value for the specified row in the specified ShortColumn, or the specified defaultValue if the value is null.
    
    Throws:
    
    IndexOutOfBoundsException - if rowIndex is negative or is not less than List.size()
    
    IndexOutOfBoundsException - if columnIndex is negative or is not less than columnCount()
    
    ClassCastException - if the column is not an ShortColumn
  - getOrDefaultShort
```
default long getOrDefaultShort(int rowIndex,
                               String columnName,
                               short defaultValue)
```
    Returns the value for the specified row in the specified ShortColumn, or the specified defaultValue if the value is null.
    
    Parameters:
    
    rowIndex - - the row index
    
    columnName - - name of the column in this DataFrame.
    
    defaultValue - - the value to return instead of null
    
    Returns:
    
    the value for the specified row in the specified ShortColumn, or the specified defaultValue if the value is null.
    
    Throws:
    
    IndexOutOfBoundsException - if rowIndex is negative or is not less than List.size()
    
    IllegalArgumentException - if columnName is not a recognized column name in this dataframe.
    
    ClassCastException - if the column is not an ShortColumn
  - getDouble
```
double getDouble(int rowIndex,
                 int columnIndex)
```
    double primitive specialization of get(int,int).
    
    Parameters:
    
    rowIndex - - the row index
    
    columnIndex - - index of the column in this DataFrame.
    
    Returns:
    
    the value for the specified row in the specified DoubleColumn.
    
    Throws:
    
    IndexOutOfBoundsException - if rowIndex is negative or is not less than List.size()
    
    IndexOutOfBoundsException - if columnIndex is negative or is not less than columnCount()
    
    ClassCastException - if the column is not a DoubleColumn
  - getDouble
```
double getDouble(int rowIndex,
                 String columnName)
```
    double primitive specialization of get(int,String).
    
    Parameters:
    
    rowIndex - - the row index
    
    columnName - - name of the column in this DataFrame.
    
    Returns:
    
    the value for the specified row in the specified DoubleColumn.
    
    Throws:
    
    IndexOutOfBoundsException - if rowIndex is negative or is not less than List.size()
    
    IllegalArgumentException - if columnName is not a recognized column name in this dataframe.
    
    ClassCastException - if the column is not a DoubleColumn
  - getOrDefaultDouble
```
default double getOrDefaultDouble(int rowIndex,
                                  int columnIndex,
                                  double defaultValue)
```
    Returns the value for the specified row in the specified DoubleColumn, or the specified defaultValue if the value is null.
    
    Parameters:
    
    rowIndex - - the row index
    
    columnIndex - - index of the column in this DataFrame.
    
    defaultValue - - the value to return instead of null
    
    Returns:
    
    the value for the specified row in the specified DoubleColumn, or the specified defaultValue if the value is null.
    
    Throws:
    
    IndexOutOfBoundsException - if rowIndex is negative or is not less than List.size()
    
    IndexOutOfBoundsException - if columnIndex is negative or is not less than columnCount()
    
    ClassCastException - if the column is not an DoubleColumn
  - getOrDefaultDouble
```
default double getOrDefaultDouble(int rowIndex,
                                  String columnName,
                                  double defaultValue)
```
    Returns the value for the specified row in the specified DoubleColumn, or the specified defaultValue if the value is null.
    
    Parameters:
    
    rowIndex - - the row index
    
    columnName - - name of the column in this DataFrame.
    
    defaultValue - - the value to return instead of null
    
    Returns:
    
    the value for the specified row in the specified DoubleColumn, or the specified defaultValue if the value is null.
    
    Throws:
    
    IllegalArgumentException - if columnName is not a recognized column name in this dataframe.
    
    ClassCastException - if the column is not an DoubleColumn
  - getFloat
```
float getFloat(int rowIndex,
               int columnIndex)
```
    float primitive specialization of get(int,int).
    
    Parameters:
    
    rowIndex - - the row index
    
    columnIndex - - index of the column in this DataFrame.
    
    Returns:
    
    the value for the specified row in the specified FloatColumn.
    
    Throws:
    
    IndexOutOfBoundsException - if rowIndex is negative or is not less than List.size()
    
    IndexOutOfBoundsException - if columnIndex is negative or is not less than columnCount()
    
    ClassCastException - if the column is not a FloatColumn
  - getFloat
```
float getFloat(int rowIndex,
               String columnName)
```
    float primitive specialization of get(int,String).
    
    Parameters:
    
    rowIndex - - the row index
    
    columnName - - name of the column in this DataFrame.
    
    Returns:
    
    the value for the specified row in the specified FloatColumn.
    
    Throws:
    
    IndexOutOfBoundsException - if rowIndex is negative or is not less than List.size()
    
    IllegalArgumentException - if columnName is not a recognized column name in this dataframe.
    
    ClassCastException - if the column is not a FloatColumn
  - getOrDefaultFloat
```
default float getOrDefaultFloat(int rowIndex,
                                int columnIndex,
                                float defaultValue)
```
    Returns the value for the specified row in the specified FloatColumn, or the specified defaultValue if the value is null.
    
    Parameters:
    
    rowIndex - - the row index
    
    columnIndex - - index of the column in this DataFrame.
    
    defaultValue - - the value to return instead of null
    
    Returns:
    
    the value for the specified row in the specified FloatColumn, or the specified defaultValue if the value is null.
    
    Throws:
    
    IndexOutOfBoundsException - if rowIndex is negative or is not less than List.size()
    
    IndexOutOfBoundsException - if columnIndex is negative or is not less than columnCount()
    
    ClassCastException - if the column is not an FloatColumn
  - getOrDefaultFloat
```
default float getOrDefaultFloat(int rowIndex,
                                String columnName,
                                float defaultValue)
```
    Returns the value for the specified row in the specified FloatColumn, or the specified defaultValue if the value is null.
    
    Parameters:
    
    rowIndex - - the row index
    
    columnName - - name of the column in this DataFrame.
    
    defaultValue - - the value to return instead of null
    
    Returns:
    
    the value for the specified row in the specified FloatColumn, or the specified defaultValue if the value is null.
    
    Throws:
    
    IndexOutOfBoundsException - if rowIndex is negative or is not less than List.size()
    
    IllegalArgumentException - if columnName is not a recognized column name in this dataframe.
    
    ClassCastException - if the column is not an FloatColumn
  - getDate
```
LocalDate getDate(int rowIndex,
                  int columnIndex)
```
    Returns the value for the specified row in the specified DateColumn.
    
    Parameters:
    
    rowIndex - - the row index
    
    columnIndex - - index of the column in this DataFrame.
    
    Returns:
    
    the value for the specified row in the specified DateColumn.
    
    Throws:
    
    IndexOutOfBoundsException - if rowIndex is negative or is not less than List.size()
    
    IndexOutOfBoundsException - if columnIndex is negative or is not less than columnCount()
    
    ClassCastException - if the column is not a DateColumn
  - getDate
```
LocalDate getDate(int rowIndex,
                  String columnName)
```
    Returns the value for the specified row in the specified DateColumn.
    
    Parameters:
    
    rowIndex - - the row index
    
    columnName - - name of the column in this DataFrame.
    
    Returns:
    
    the value for the specified row in the specified DateColumn.
    
    Throws:
    
    IndexOutOfBoundsException - if rowIndex is negative or is not less than List.size()
    
    IllegalArgumentException - if columnName is not a recognized column name in this dataframe.
    
    ClassCastException - if the column is not a DateColumn
  - yyyymmdd
```
int yyyymmdd(int rowIndex,
             int columnIndex)
```
    Returns the yyyymmdd date for the specified row in the specified DateColumn.
    
    Parameters:
    
    rowIndex - - the row index
    
    columnIndex - - index of the column in this DataFrame.
    
    Returns:
    
    the yyyymmdd date for the specified row in the specified DateColumn.
    
    Throws:
    
    IndexOutOfBoundsException - if rowIndex is negative or is not less than List.size()
    
    IndexOutOfBoundsException - if columnIndex is negative or is not less than columnCount()
    
    ClassCastException - if the column is not a DateColumn
  - yyyymmdd
```
int yyyymmdd(int rowIndex,
             String columnName)
```
    Returns the yyyymmdd date for the specified row in the specified DateColumn.
    
    Parameters:
    
    rowIndex - - the row index
    
    columnName - - name of the column in this DataFrame.
    
    Returns:
    
    the yyyymmdd date for the specified row in the specified DateColumn.
    
    Throws:
    
    IndexOutOfBoundsException - if rowIndex is negative or is not less than List.size()
    
    IllegalArgumentException - if columnName is not a recognized column name in this dataframe.
    
    ClassCastException - if the column is not a DateColumn
  - getDateTime
```
LocalDateTime getDateTime(int rowIndex,
                          int columnIndex)
```
    Returns the value for the specified row in the specified DateTimeColumn.
    
    Parameters:
    
    rowIndex - - the row index
    
    columnIndex - - index of the column in this DataFrame.
    
    Returns:
    
    the value for the specified row in the specified DateTimeColumn.
    
    Throws:
    
    IndexOutOfBoundsException - if rowIndex is negative or is not less than List.size()
    
    IndexOutOfBoundsException - if columnIndex is negative or is not less than columnCount()
    
    ClassCastException - if the column is not a DateTimeColumn
  - getDateTime
```
LocalDateTime getDateTime(int rowIndex,
                          String columnName)
```
    Returns the value for the specified row in the specified DateTimeColumn.
    
    Parameters:
    
    rowIndex - - the row index
    
    columnName - - name of the column in this DataFrame.
    
    Returns:
    
    the value for the specified row in the specified DateTimeColumn.
    
    Throws:
    
    IndexOutOfBoundsException - if rowIndex is negative or is not less than List.size()
    
    IllegalArgumentException - if columnName is not a recognized column name in this dataframe.
    
    ClassCastException - if the column is not a DateTimeColumn

Interface DataFrame

Method Summary

Methods inherited from interface java.util.List

Methods inherited from interface java.util.Collection

Methods inherited from interface java.lang.Iterable

Method Detail

equals

copy

spliterator

cursor

cursor

toMap

toMap

toDateSeries

toDateSeries

hasKeyColumn

keyColumnIndex

keyColumnName

keyColumnType

withKeyColumn

withKeyColumn

indexOrganize

indexOrganize

columnCount

columnIndex

columnName

columnType

columnType

columnMap

columns

columnNames

columnTypes

withColumn

withColumns

withColumns

withColumns

selectColumns

selectColumns

selectColumns

dropColumns

dropColumns

dropColumns

column

stringColumn

decimalColumn

booleanColumn

intColumn

longColumn

shortColumn

doubleColumn

floatColumn

dateColumn

dateTimeColumn

column

stringColumn

decimalColumn

booleanColumn

intColumn

longColumn

shortColumn

doubleColumn

floatColumn

dateColumn

dateTimeColumn

deriveColumn

deriveColumn

deriveColumn

deriveColumn

deriveColumn

deriveColumn

sampleN

sampleX

head

empty

head

tail

tail

subFrame

headTo

tailFrom