Uses of Interface
tech.bitey.dataframe.DataFrame

Packages that use DataFrame

Package	Description
tech.bitey.dataframe

Uses of DataFrame in tech.bitey.dataframe

Subinterfaces of DataFrame in tech.bitey.dataframe

Modifier and Type	Interface and Description
interface	DateSeries A time series specialization of DataFrame.

Classes in tech.bitey.dataframe that implement DataFrame

Modifier and Type	Class and Description
class	DateSeriesImpl

Methods in tech.bitey.dataframe that return DataFrame

Modifier and Type	Method and Description
DataFrame	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	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.
DataFrame	DataFrame.copy() Returns a deep copy of this dataframe.
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.
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.dropColumns(Collection<String> columnNames) Returns a new dataframe which excludes the specified columns.
DataFrame	DataFrame.dropColumns(int... columnIndices) Returns a new dataframe which excludes the specified columns.
DataFrame	DataFrame.dropColumns(String... columnNames) Returns a new dataframe which excludes the specified columns.
default DataFrame	DataFrame.empty() Returns an empty dataframe.
DataFrame	DataFrame.filter(Predicate<Row> criteria) Returns a dataframe containing the rows which pass the specified Predicate.
DataFrame	DataFrame.filterNulls() Returns a dataframe containing the rows which do not contain any null values.
default DataFrame	DataFrame.head() Returns a dataframe containing the first 10 rows from this dataframe, or this dataframe if it contains fewer than 10 rows.
DataFrame	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	DataFrame.headTo(Object toKey) Returns a dataframe containing the rows whose key column values are strictly less than toKey.
DataFrame	DataFrame.indexOrganize(int columnIndex) Returns a new dataframe with rows sorted by the specified column.
DataFrame	DataFrame.indexOrganize(String columnName) Returns a new dataframe with rows sorted by the specified column.
DataFrame	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	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	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	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	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.
static DataFrame	DataFrameFactory.readCsvFrom(File file, ReadCsvConfig config) Read a dataframe from a CSV file.
static DataFrame	DataFrameFactory.readCsvFrom(InputStream is, ReadCsvConfig config) Read a dataframe in CSV format from the specified InputStream.
static DataFrame	DataFrameFactory.readFrom(File file) Load a dataframe from a file created via writeTo(File).
static DataFrame	DataFrameFactory.readFrom(ReadableByteChannel channel) Read a dataframe from the specified ReadableByteChannel.
static DataFrame	DataFrameFactory.readFrom(ResultSet rs, ReadFromDbConfig config) Read a dataframe from the specified ResultSet according to the specified configuration.
DataFrame	DataFrame.sampleN(int sampleSize) Returns a dataframe containing sampleSize rows selected at random.
DataFrame	DataFrame.sampleX(double proportion) Returns a dataframe containing size()*proportion rows selected at random.
DataFrame	DataFrame.selectColumns(int... columnIndices) Returns a new dataframe which contains only the specified columns, in the specified order.
DataFrame	DataFrame.selectColumns(List<String> columnNames) Returns a new dataframe which contains only the specified columns, in the specified order.
DataFrame	DataFrame.selectColumns(String... columnNames) Returns a new dataframe which contains only the specified columns, in the specified order.
DataFrame	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	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	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	DataFrame.tail() Returns a dataframe containing the last 10 rows from this dataframe, or this dataframe if it contains fewer than 10 rows.
DataFrame	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	DataFrame.tailFrom(Object fromKey) Returns a dataframe containing the rows whose key column values are greater than or equal to fromKey.
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(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	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	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	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	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.

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

Modifier and Type	Method and Description
DataFrame	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	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.
boolean	DataFrame.equals(DataFrame df, boolean dataOnly) Tests this DataFrame against the specified one for equality.
DataFrame	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	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	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	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	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.
DataFrame	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.