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High-performance Java Dataframe with integrated columnar storage (fork of tablesaw)
package org.datavec.dataframe.util;
import org.datavec.dataframe.api.NumericColumn;
import org.datavec.dataframe.table.TemporaryView;
import org.datavec.dataframe.table.ViewGroup;
import com.google.common.base.Preconditions;
/**
* Utility functions for creating 2D double arrays from columns and other arrays
*/
public class DoubleArrays {
public static double[] toN(int n) {
double[] result = new double[n];
for (int i = 0; i < n; i++) {
result[i] = i;
}
return result;
}
public static double[][] to2dArray(NumericColumn... columns) {
Preconditions.checkArgument(columns.length >= 1);
int obs = columns[0].size();
double[][] allVals = new double[obs][columns.length];
for( int r = 0; r < obs; r++ ) {
for (int c = 0; c < columns.length; c++) {
allVals[r][c] = columns[c].getFloat(r);
allVals[r][c] = columns[c].getFloat(r);
}
}
return allVals;
}
public static double[][] to2dArray(ViewGroup views, int columnNumber) {
int viewCount = views.size();
double[][] allVals = new double[viewCount][];
for(int viewNumber = 0; viewNumber < viewCount; viewNumber++ ) {
TemporaryView view = views.get(viewNumber);
allVals[viewNumber] = new double[view.rowCount()];
NumericColumn numericColumn = view.numericColumn(columnNumber);
for (int r = 0; r < view.rowCount(); r++) {
allVals[viewNumber][r] = numericColumn.getFloat(r);
}
}
return allVals;
}
public static double[][] to2dArray(double[] x, double[] y) {
double[][] allVals = new double[x.length][2];
for( int i = 0; i < x.length; i++ ) {
allVals[i][0] = x[i];
allVals[i][1] = y[i];
}
return allVals;
}
public static double[][] to2dArray(NumericColumn x, NumericColumn y) {
double[][] allVals = new double[x.size()][2];
for( int i = 0; i < x.size(); i++ ) {
allVals[i][0] = x.getFloat(i);
allVals[i][1] = y.getFloat(i);
}
return allVals;
}
}