Java Statistics类代码示例

import de.erichseifert.gral.data.statistics.Statistics; //导入依赖的package包/类
/**
 * Rebuilds cached plot data.
 */
private void revalidateAxisExtrema() {
	synchronized (this) {
		for (Entry<DataSource, Map<Integer, String>> entryByDataSource : columnToAxisMappingByDataSource.entrySet()) {
			DataSource dataSource = entryByDataSource.getKey();
			Map<Integer, String> columnToAxisMapping = entryByDataSource.getValue();
			for (Entry<Integer, String> entry : columnToAxisMapping.entrySet()) {
				Integer colIndex = entry.getKey();
				String axisName = entry.getValue();

				Column<?> col = dataSource.getColumn(colIndex);
				Double min = axisMin.get(axisName);
				Double max = axisMax.get(axisName);
				if (min == null || max == null) {
					min = col.getStatistics(Statistics.MIN);
					max = col.getStatistics(Statistics.MAX);
				} else {
					min = Math.min(min, col.getStatistics(Statistics.MIN));
					max = Math.max(max, col.getStatistics(Statistics.MAX));
				}
				axisMin.put(axisName, min);
				axisMax.put(axisName, max);
			}
		}
	}
}
 

import de.erichseifert.gral.data.statistics.Statistics; //导入依赖的package包/类
/**
 * Rebuilds cached plot data.
 */
private void revalidateAxisExtrema() {
	synchronized (this) {
		for (Entry<Tuple, String> entry : mapping.entrySet()) {
			Tuple mapKey = entry.getKey();
			DataSource s = (DataSource) mapKey.get(0);
			Column col = s.getColumn((Integer) mapKey.get(1));
			String axisName = entry.getValue();

			Double min = axisMin.get(axisName);
			Double max = axisMax.get(axisName);
			if (min == null || max == null) {
				min = col.getStatistics(Statistics.MIN);
				max = col.getStatistics(Statistics.MAX);
			} else {
				min = Math.min(min, col.getStatistics(Statistics.MIN));
				max = Math.max(max, col.getStatistics(Statistics.MAX));
			}
			axisMin.put(axisName, min);
			axisMax.put(axisName, max);
		}
	}
}
 

import de.erichseifert.gral.data.statistics.Statistics; //导入依赖的package包/类
public DataSource getRowStatistics(String key) {
	DataTable statisticsTable = getRowCount() != 0 ? new DataTable(Double.class) : new DataTable();
	for (int rowIndex = 0; rowIndex < getRowCount(); rowIndex++) {
		Record row = getRecord(rowIndex);
		statisticsTable.add(new Statistics(row).get(key));
	}
	return statisticsTable;
}
 

import de.erichseifert.gral.data.statistics.Statistics; //导入依赖的package包/类
public MedianFilter(Iterable<T> data, int windowSize) {
	filtered = new LinkedList<>();

	windowIterator = new WindowIterator<>(data.iterator(), windowSize);

	while (windowIterator.hasNext()) {
		List<T> window = windowIterator.next();
		Statistics windowStatistics = new Statistics(window);
		double median = windowStatistics.get(Statistics.MEDIAN);
		filtered.add(median);
	}
}
 

import de.erichseifert.gral.data.statistics.Statistics; //导入依赖的package包/类
/**
 * Extracts statistics from the columns of an data source that are commonly
 * used for box-and-whisker plots. The result is a new data source
 * containing <i>column index</i>, <i>median</i>, <i>mininum</i>, <i>first
 * quartile</i>, <i>third quartile</i>, and <i>maximum</i> for each column.
 * @param data Original data source
 * @return New data source with (columnIndex, median, min, quartile1,
 *         quartile3, max)
 */
@SuppressWarnings("unchecked")
public static DataSource createBoxData(DataSource data) {
	if (data == null) {
		throw new NullPointerException(
			"Cannot extract statistics from null data source.");
	}

	DataTable stats = new DataTable(Integer.class, Double.class,
		Double.class, Double.class, Double.class, Double.class);

	// Generate statistical values for each column
	for (int c = 0; c < data.getColumnCount(); c++) {
		Column col = data.getColumn(c);
		if (!col.isNumeric()) {
			continue;
		}
		stats.add(
			c + 1,
			col.getStatistics(Statistics.MEDIAN),
			col.getStatistics(Statistics.MIN),
			col.getStatistics(Statistics.QUARTILE_1),
			col.getStatistics(Statistics.QUARTILE_3),
			col.getStatistics(Statistics.MAX)
		);
	}
	return stats;
}
 

import de.erichseifert.gral.data.statistics.Statistics; //导入依赖的package包/类
/**
 * Takes a matrix of values and creates a new data source that stores the
 * values in (x, y, value) format.
 * @param data Original data source with values in each cell.
 * @return New data source with (x, y, value) columns
 */
@SuppressWarnings("unchecked")
public static DataSource createRasterData(DataSource data) {
	if (data == null) {
		throw new NullPointerException("Cannot convert null data source.");
	}

	DataTable coordsValueData =
		new DataTable(Double.class, Double.class, Double.class);

	// Generate pixel data with (x, y, value)
	double min = ((Number) data.getRowStatistics(Statistics.MIN).
			getColumnStatistics(Statistics.MIN).get(0, 0)).doubleValue();
	double max = ((Number) data.getRowStatistics(Statistics.MAX).
			getColumnStatistics(Statistics.MAX).get(0, 0)).doubleValue();
	double range = max - min;
	int i = 0;
	for (Comparable<?> cell : data) {
		int x =  i%data.getColumnCount();
		int y = -i/data.getColumnCount();
		double v = Double.NaN;
		if (cell instanceof Number) {
			Number numericCell = (Number) cell;
			v = (numericCell.doubleValue() - min) / range;
		}
		coordsValueData.add((double) x, (double) y, v);
		i++;
	}
	return coordsValueData;
}
 

import de.erichseifert.gral.data.statistics.Statistics; //导入依赖的package包/类
@Test
public void testColumnStatisticsContainsColumnForEachColumnInDataSource() {
	int columnCount = 3;
	source = new StubAbstractDataSource(columnCount, 0);
	DataSource columnStatistics = source.getColumnStatistics(Statistics.N);
	assertThat(columnStatistics.getColumnCount(), is(source.getColumnCount()));
}
 

import de.erichseifert.gral.data.statistics.Statistics; //导入依赖的package包/类
@Test
public void testColumnStatisticsForMultiColumnDataSourceContainsSingleRow() {
	int columnCount = 5;
	source = new StubAbstractDataSource(columnCount, 0);
	DataSource columnStatistics = source.getColumnStatistics(Statistics.N);
	assertThat(columnStatistics.getRowCount(), is(1));
}
 

import de.erichseifert.gral.data.statistics.Statistics; //导入依赖的package包/类
@Test
public void testRowStatisticsForDataSourceContainsRowForEachRowInDataSource() {
	int rowCount = 3;
	source = new StubAbstractDataSource(5, rowCount);
	DataSource rowStatistics = source.getRowStatistics(Statistics.N);
	assertThat(rowStatistics.getRowCount(), is(rowCount));
}
 

import de.erichseifert.gral.data.statistics.Statistics; //导入依赖的package包/类
@Test
public void testSerialization() throws IOException, ClassNotFoundException {
	DataSource original = new EnumeratedData(table);
	DataSource deserialized = TestUtils.serializeAndDeserialize(original);

   	// Test metadata
   	assertArrayEquals(original.getColumnTypes(), deserialized.getColumnTypes());
   	assertEquals(original.getColumnCount(), deserialized.getColumnCount());
   	assertEquals(original.getRowCount(), deserialized.getRowCount());

	// Test values
   	for (int row = 0; row < original.getRowCount(); row++) {
       	for (int col = 0; col < original.getColumnCount(); col++) {
           	assertEquals(
       			String.format("Wrong data at col=%d, row=%d.", col, row),
       			original.get(col, row), deserialized.get(col, row));
       	}
   	}

   	// Test statistics
   	String[] stats = { Statistics.N, Statistics.SUM, Statistics.MEAN, Statistics.VARIANCE };
   	for (String stat : stats) {
   		assertEquals(
			original.getStatistics().get(stat),
			deserialized.getStatistics().get(stat),
			DELTA);
	}
   }
 

import de.erichseifert.gral.data.statistics.Statistics; //导入依赖的package包/类
@Test
public void testSerialization() throws IOException, ClassNotFoundException {
	DataSource original = new DummyData(2, 3, "foobar");
	DataSource deserialized = TestUtils.serializeAndDeserialize(original);

   	// Test metadata
   	assertArrayEquals(original.getColumnTypes(), deserialized.getColumnTypes());
   	assertEquals(original.getColumnCount(), deserialized.getColumnCount());
   	assertEquals(original.getRowCount(), deserialized.getRowCount());

	// Test values
   	for (int row = 0; row < original.getRowCount(); row++) {
       	for (int col = 0; col < original.getColumnCount(); col++) {
           	assertEquals(
       			String.format("Wrong data at col=%d, row=%d.", col, row),
       			original.get(col, row), deserialized.get(col, row));
       	}
   	}

   	// Test statistics
   	String[] stats = { Statistics.N, Statistics.SUM, Statistics.MEAN, Statistics.VARIANCE };
   	for (String stat : stats) {
   		assertEquals(
			original.getStatistics().get(stat),
			deserialized.getStatistics().get(stat),
			DELTA);
	}
   }
 

import de.erichseifert.gral.data.statistics.Statistics; //导入依赖的package包/类
@Test
public void testStatistics() {
	assertEquals( 8.0, col2.getStatistics(Statistics.N),   DELTA);
	assertEquals( 1.0, col2.getStatistics(Statistics.MIN), DELTA);
	assertEquals(11.0, col2.getStatistics(Statistics.MAX), DELTA);
	assertEquals(44.0, col2.getStatistics(Statistics.SUM), DELTA);
}
 

import de.erichseifert.gral.data.statistics.Statistics; //导入依赖的package包/类
@Test
public void testSerialization() throws IOException, ClassNotFoundException {
	DataSource original = data;
	DataSource deserialized = TestUtils.serializeAndDeserialize(original);

   	// Test metadata
   	assertArrayEquals(original.getColumnTypes(), deserialized.getColumnTypes());
   	assertEquals(original.getColumnCount(), deserialized.getColumnCount());
   	assertEquals(original.getRowCount(), deserialized.getRowCount());

	// Test values
   	for (int row = 0; row < original.getRowCount(); row++) {
       	for (int col = 0; col < original.getColumnCount(); col++) {
           	assertEquals(
       			String.format("Wrong data at col=%d, row=%d.", col, row),
       			original.get(col, row), deserialized.get(col, row));
       	}
   	}

   	// Test statistics
   	String[] stats = { Statistics.N, Statistics.SUM, Statistics.MEAN, Statistics.VARIANCE };
   	for (String stat : stats) {
   		assertEquals(
			original.getStatistics().get(stat),
			deserialized.getStatistics().get(stat),
			DELTA);
	}
   }
 

import de.erichseifert.gral.data.statistics.Statistics; //导入依赖的package包/类
@Test
public void testSerialization() throws IOException, ClassNotFoundException {
	Filter2D original = new Resize(dataDiagonal, 2, 2);
	Filter2D deserialized = TestUtils.serializeAndDeserialize(original);

   	// Test metadata
   	assertEquals(original.getMode(), deserialized.getMode());
   	assertArrayEquals(original.getColumnTypes(), deserialized.getColumnTypes());
   	assertEquals(original.getColumnCount(), deserialized.getColumnCount());
   	assertEquals(original.getRowCount(), deserialized.getRowCount());

	// Test values
   	for (int row = 0; row < original.getRowCount(); row++) {
       	for (int col = 0; col < original.getColumnCount(); col++) {
           	assertEquals(
       			String.format("Wrong data at col=%d, row=%d.", col, row),
       			original.get(col, row), deserialized.get(col, row));
       	}
   	}

   	// Test statistics
   	String[] stats = { Statistics.N, Statistics.SUM, Statistics.MEAN, Statistics.VARIANCE };
   	for (String stat : stats) {
   		assertEquals(
			original.getStatistics().get(stat),
			deserialized.getStatistics().get(stat),
			DELTA);
	}
   }
 

import de.erichseifert.gral.data.statistics.Statistics; //导入依赖的package包/类
@Test
public void testSerialization() throws IOException, ClassNotFoundException {
	Filter2D original = new Median(table, 3, 1, Filter2D.Mode.REPEAT, 0);
	Filter2D deserialized = TestUtils.serializeAndDeserialize(original);

   	// Test metadata
   	assertEquals(original.getMode(), deserialized.getMode());
   	assertArrayEquals(original.getColumnTypes(), deserialized.getColumnTypes());
   	assertEquals(original.getColumnCount(), deserialized.getColumnCount());
   	assertEquals(original.getRowCount(), deserialized.getRowCount());

	// Test values
   	for (int row = 0; row < original.getRowCount(); row++) {
       	for (int col = 0; col < original.getColumnCount(); col++) {
           	assertEquals(
       			String.format("Wrong data at col=%d, row=%d.", col, row),
       			original.get(col, row), deserialized.get(col, row));
       	}
   	}

   	// Test statistics
   	String[] stats = { Statistics.N, Statistics.SUM, Statistics.MEAN, Statistics.VARIANCE };
   	for (String stat : stats) {
   		assertEquals(
			original.getStatistics().get(stat),
			deserialized.getStatistics().get(stat),
			DELTA);
	}
   }