org.apache.poi.ss.formula.functions.Frequency Maven / Gradle / Ivy
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package org.apache.poi.ss.formula.functions;
import org.apache.poi.ss.formula.CacheAreaEval;
import org.apache.poi.ss.formula.eval.EvaluationException;
import org.apache.poi.ss.formula.eval.NumberEval;
import org.apache.poi.ss.formula.eval.ValueEval;
import java.util.Arrays;
/**
* Implementation of Excel 'Analysis ToolPak' function FREQUENCY()
* Returns a frequency distribution as a vertical array
*
* Syntax
* FREQUENCY(data_array, bins_array)
*
* data_array Required. An array of or reference to a set of values for which you want to count frequencies.
* If data_array contains no values, FREQUENCY returns an array of zeros.
* bins_array Required. An array of or reference to intervals into which you want to group the values in data_array.
* If bins_array contains no values, FREQUENCY returns the number of elements in data_array.
*/
public class Frequency extends Fixed2ArgFunction {
public static final Function instance = new Frequency();
private Frequency() {
// enforce singleton
}
@Override
public ValueEval evaluate(int srcRowIndex, int srcColumnIndex, ValueEval arg0, ValueEval arg1) {
MatrixFunction.MutableValueCollector collector = new MatrixFunction.MutableValueCollector(false, false);
double[] values;
double[] bins;
try {
values = collector.collectValues(arg0);
bins = collector.collectValues(arg1);
} catch (EvaluationException e) {
return e.getErrorEval();
}
// can bins be not sorted?
//bins = Arrays.stream(bins).sorted().distinct().toArray();
int[] histogram = histogram(values, bins);
NumberEval[] result = Arrays.stream(histogram).boxed().map(NumberEval::new).toArray(NumberEval[]::new);
return new CacheAreaEval(srcRowIndex, srcColumnIndex,
srcRowIndex + result.length - 1, srcColumnIndex, result);
}
static int findBin(double value, double[] bins) {
int idx = Arrays.binarySearch(bins, value);
return idx >= 0 ? idx + 1 : -idx;
}
static int[] histogram(double[] values, double[] bins) {
int[] histogram = new int[bins.length + 1];
for (double val : values) {
histogram[findBin(val, bins) - 1]++;
}
return histogram;
}
}