Uses of Interface
tech.bitey.dataframe.DateSeries

Packages that use DateSeries

Package	Description
tech.bitey.dataframe

Uses of DateSeries in tech.bitey.dataframe

Classes in tech.bitey.dataframe that implement DateSeries

Modifier and Type	Class and Description
class	DateSeriesImpl

Methods in tech.bitey.dataframe that return DateSeries

Modifier and Type	Method and Description
DateSeries	DateSeries.append(DateSeries df) Appends the specified DateSeries to this one by calling Column.append(Column) on both the key and value columns, and keeping the meta-data from this dataframe.
DateSeries	DateSeriesImpl.append(DateSeries df)
DateSeries	DateSeriesBuilder.build() Sorts the added points by date and returns a new DateSeries.
static DateSeries	DateSeriesFactory.create(DateColumn dates, DoubleColumn values) Returns a DateSeries with the specified dates and values, using the default column names: "DATES" and "VALUES"
static DateSeries	DateSeriesFactory.create(DateColumn dates, String dateColumnName, DoubleColumn values, String valueColumnName) Returns a DateSeries with the specified dates, values, and column names.
DateSeries	DateSeries.empty() Returns an empty DateSeries.
DateSeries	DateSeriesImpl.empty()
DateSeries	DateSeries.filter(Predicate<Row> criteria) Returns a DateSeries containing the points which pass the specified Predicate.
DateSeries	DateSeriesImpl.filter(Predicate<Row> criteria)
DateSeries	DateSeries.head() Returns a DateSeries containing the first 10 points from this time series, or this time series if it contains fewer than 10 points.
DateSeries	DateSeriesImpl.head()
DateSeries	DateSeries.head(int count) Returns a DateSeries containing the first count points from this time series, or this time series if it contains fewer than count points.
DateSeries	DateSeriesImpl.head(int count)
DateSeries	DateSeries.headTo(LocalDate toKey) Returns a DateSeries containing the points with dates strictly less than toKey.
DateSeries	DateSeriesImpl.headTo(LocalDate toKey)
static DateSeries	DateSeriesFactory.readFrom(File file) Load a time series from a file created via DataFrame.writeTo(File).
static DateSeries	DateSeriesFactory.readFrom(ReadableByteChannel channel) Read a time series from the specified ReadableByteChannel.
DateSeries	DateSeries.sampleN(int sampleSize) Returns a DateSeries containing sampleSize points selected at random.
DateSeries	DateSeriesImpl.sampleN(int sampleSize)
DateSeries	DateSeries.sampleX(double proportion) Returns a DateSeries containing size()*proportion points selected at random.
DateSeries	DateSeriesImpl.sampleX(double proportion)
DateSeries	DateSeries.subSeries(int fromIndex, int toIndex) Returns a DateSeries containing the points between the specified fromIndex, inclusive, and toIndex, exclusive (if fromIndex and toIndex are equal, the returned time series is empty).
DateSeries	DateSeriesImpl.subSeries(int fromIndex, int toIndex)
DateSeries	DateSeries.subSeries(LocalDate fromKey, boolean fromInclusive, LocalDate toKey, boolean toInclusive) Returns a DateSeries containing the points with dates between fromKey and toKey.
DateSeries	DateSeriesImpl.subSeries(LocalDate fromKey, boolean fromInclusive, LocalDate toKey, boolean toInclusive)
DateSeries	DateSeries.subSeries(LocalDate fromKey, LocalDate toKey) Returns a DateSeries containing the points with dates are greater than or equal to fromKey and strictly less than toKey.
DateSeries	DateSeriesImpl.subSeries(LocalDate fromKey, LocalDate toKey)
DateSeries	DateSeries.tail() Returns a DateSeries containing the last 10 points from this time series, or this time series if it contains fewer than 10 points.
DateSeries	DateSeriesImpl.tail()
DateSeries	DateSeries.tail(int count) Returns a DateSeries containing the last count points from this dataframe, or this time series if it contains fewer than count points.
DateSeries	DateSeriesImpl.tail(int count)
DateSeries	DateSeries.tailFrom(LocalDate fromKey) Returns a DateSeries containing the points with dates greater than or equal to fromKey.
DateSeries	DateSeriesImpl.tailFrom(LocalDate fromKey)
DateSeries	DataFrame.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.
default DateSeries	DateSeries.toDateSeries(int columnIndex) Returns this time series
DateSeries	DataFrame.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.
default DateSeries	DateSeries.toDateSeries(String columnName) Returns this time series
DateSeries	DateSeries.transform(DateSeries series, DoubleBinaryOperator op) Joins this time series with the specifies series, and combines their values point-wise using the specified operation.
DateSeries	DateSeriesImpl.transform(DateSeries ts, DoubleBinaryOperator op)
DateSeries	DateSeries.transform(DoubleUnaryOperator op) Returns a new time series where the values have been transformed by the provided operation.
DateSeries	DateSeriesImpl.transform(DoubleUnaryOperator op)

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

Modifier and Type	Method and Description
DateSeries	DateSeries.append(DateSeries df) Appends the specified DateSeries to this one by calling Column.append(Column) on both the key and value columns, and keeping the meta-data from this dataframe.
DateSeries	DateSeriesImpl.append(DateSeries df)
DateSeries	DateSeries.transform(DateSeries series, DoubleBinaryOperator op) Joins this time series with the specifies series, and combines their values point-wise using the specified operation.
DateSeries	DateSeriesImpl.transform(DateSeries ts, DoubleBinaryOperator op)