本文整理汇总了Java中de.erichseifert.gral.data.statistics.Statistics类的典型用法代码示例。如果您正苦于以下问题:Java Statistics类的具体用法?Java Statistics怎么用?Java Statistics使用的例子?那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。
Statistics类属于de.erichseifert.gral.data.statistics包,在下文中一共展示了Statistics类的15个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: revalidateAxisExtrema
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);
}
}
}
}
示例2: revalidateAxisExtrema
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);
}
}
}
示例3: getRowStatistics
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;
}
示例4: MedianFilter
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);
}
}
示例5: createBoxData
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;
}
示例6: createRasterData
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;
}
示例7: testColumnStatisticsContainsColumnForEachColumnInDataSource
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()));
}
示例8: testColumnStatisticsForMultiColumnDataSourceContainsSingleRow
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));
}
示例9: testRowStatisticsForDataSourceContainsRowForEachRowInDataSource
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));
}
示例10: testSerialization
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);
}
}
示例11: testSerialization
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);
}
}
示例12: testStatistics
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);
}
示例13: testSerialization
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);
}
}
示例14: testSerialization
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);
}
}
示例15: testSerialization
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);
}
}