All Downloads are FREE. Search and download functionalities are using the official Maven repository.

org.datavec.dataframe.columns.Column Maven / Gradle / Ivy

Go to download

High-performance Java Dataframe with integrated columnar storage (fork of tablesaw)

There is a newer version: 0.9.1
Show newest version
package org.datavec.dataframe.columns;

import org.datavec.dataframe.api.ColumnType;
import org.datavec.dataframe.api.Table;
import org.datavec.dataframe.store.ColumnMetadata;
import org.datavec.dataframe.util.Selection;
import it.unimi.dsi.fastutil.ints.IntComparator;

/**
 * The general interface for columns.
 * 

* Columns can either exist on their own or be a part of a table. All the data in a single column is of a particular * type. */ public interface Column { int size(); Table summary(); default Column subset(Selection rows) { Column c = this.emptyCopy(); for (int row : rows) { c.addCell(getString(row)); } return c; } /** * Returns the count of missing values in this column */ int countMissing(); /** * Returns the count of unique values in this column */ int countUnique(); /** * Returns a column of the same type as the receiver, containing only the unique values of the receiver */ Column unique(); /** * Returns the column's name */ String name(); /** * Sets the columns name to the given string * * @param name The new name MUST be unique for any table containing this column */ void setName(String name); /** * Returns this column's ColumnType */ ColumnType type(); /** * Returns a string representation of the value at the given row */ String getString(int row); /** * Returns a copy of the receiver with no data. The column name and type are the same */ Column emptyCopy(); /** * Returns a deep copy of the receiver */ Column copy(); /** * Returns an empty copy of the receiver, with its internal storage initialized to the given row size */ Column emptyCopy(int rowSize); void clear(); void sortAscending(); void sortDescending(); /** * Returns true if the column has no data */ boolean isEmpty(); void addCell(String stringValue); /** * Returns a unique string that identifies this column */ String id(); /** * Returns a String containing the column's metadata in json format */ String metadata(); ColumnMetadata columnMetadata(); IntComparator rowComparator(); default String first() { return getString(0); } default String last() { return getString(size() - 1); } void append(Column column); default Column first(int numRows) { Column col = emptyCopy(); int rows = Math.min(numRows, size()); for (int i = 0; i < rows; i++) { col.addCell(getString(i)); } return col; } default Column last(int numRows) { Column col = emptyCopy(); int rows = Math.min(numRows, size()); for (int i = size() - rows; i < size(); i++) { col.addCell(getString(i)); } return col; } String print(); default String title() { return "Column: " + name() + '\n'; } String comment(); void setComment(String comment); default double[] toDoubleArray() { throw new UnsupportedOperationException("Method toDoubleArray() is not supported on non-numeric columns"); } int columnWidth(); Selection isMissing(); Selection isNotMissing(); /** * Returns the width of a cell in this column, in bytes */ int byteSize(); /** * Returns the contents of the cell at rowNumber as a byte[] */ byte[] asBytes(int rowNumber); /** * Returns a new column of the same type as the receiver, such that the values in the new column * contain the difference between each cell in the original and it's predecessor. * The Missing Value Indicator is used for the first cell in the new column. * (e.g. IntColumn.MISSING_VALUE) */ E difference(); }





© 2015 - 2024 Weber Informatics LLC | Privacy Policy