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Visualization components for the Morpheus data science library
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/**
* Copyright (C) 2014-2017 Xavier Witdouck
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package com.zavtech.morpheus.viz.jfree;
import java.util.Collections;
import java.util.List;
import java.util.function.Consumer;
import java.util.function.Function;
import java.util.function.IntFunction;
import java.util.function.Supplier;
import java.util.stream.IntStream;
import org.jfree.data.category.CategoryDataset;
import org.jfree.data.general.AbstractDataset;
import com.zavtech.morpheus.array.Array;
import com.zavtech.morpheus.frame.DataFrame;
import com.zavtech.morpheus.index.Index;
import com.zavtech.morpheus.range.Range;
import com.zavtech.morpheus.viz.chart.xy.XyDataset;
/**
* A JFreeChart dataset adapter for category plots
*
* @author Xavier Witdouck
*
* This is open source software released under the Apache 2.0 License
*/
class JFCatDataset extends AbstractDataset implements XyDataset, CategoryDataset {
private static final Double NAN = Double.NaN;
private Index seriesKeys;
private Index domainKeys;
private DataFrame frame;
private Array colOrdinals;
private Supplier> domainType;
private IntFunction domainValueFunction;
private Consumer> refreshHandler;
/**
* Constructor
* @param refreshHandler the refresh handler
*/
private JFCatDataset(Consumer> refreshHandler) {
this.refreshHandler = refreshHandler;
this.refresh();
}
/**
* Returns a newly created model using a frame supplier where the domain is presented by the DataFrame row keys
* @param frameSupplier the DataFrame supplier for this model
* @param the domain key type
* @param the series key type
* @return the newly created model
*/
public static JFCatDataset of(Supplier> frameSupplier) {
return new JFCatDataset<>(dataset -> {
try {
final DataFrame frame = frameSupplier.get();
if (frame != null) {
final Array colOrdinals = Array.of(IntStream.range(0, frame.colCount()).toArray());
final Supplier> domainType = () -> frame.rows().keyType();
dataset.update(frame, colOrdinals, domainType, rowIndex -> frame.rows().key(rowIndex));
} else {
dataset.clear(true);
}
} catch (Exception ex) {
ex.printStackTrace();
}
});
}
/**
* Returns a newly created model using a frame supplier where the domain is presented by a column in the DataFrame
* @param domainAxisKey the DataFrame column key for the domain
* @param frameSupplier the DataFrame supplier for this model
* @param the domain key type
* @param the series key type
* @return the newly created model
*/
@SuppressWarnings("unchecked")
public static JFCatDataset of(S domainAxisKey, Supplier> frameSupplier) {
return new JFCatDataset<>(dataset -> {
try {
final DataFrame frame = frameSupplier.get();
if (frame != null) {
final int domainAxisColOrdinal = frame.cols().ordinalOf(domainAxisKey);
final Supplier> domainType = () -> (Class)frame.cols().type(domainAxisKey);
final Array colOrdinals = Array.of(IntStream.range(0, frame.colCount()).filter(i -> i != domainAxisColOrdinal).toArray());
dataset.update(frame, colOrdinals, domainType, rowIndex -> frame.data().getValue(rowIndex, domainAxisColOrdinal));
} else {
dataset.clear(true);
}
} catch (Exception ex) {
ex.printStackTrace();
}
});
}
/**
* Updates this model with the DataFrame, series column ordinals and domain value function
* @param frame the DataFrame to accept
* @param colOrdinals the series column ordinals
* @param domainValueFunction the domain value function
*/
private void update(DataFrame frame, Array colOrdinals, Supplier> domainType, IntFunction domainValueFunction) {
try {
this.frame = frame;
this.colOrdinals = colOrdinals;
this.domainType = domainType;
this.domainValueFunction = domainValueFunction;
this.domainKeys = Index.of(Range.of(0, frame.rowCount()).map(domainValueFunction::apply).toArray());
this.seriesKeys = Index.of(colOrdinals.map(v -> frame.cols().key(v.getInt())));
} finally {
fireDatasetChanged();
}
}
@Override
public void refresh() {
this.refreshHandler.accept(this);
}
@Override
public boolean isEmpty() {
return frame == null || seriesKeys == null || seriesKeys.size() == 0;
}
@Override
public void clear(boolean notify) {
this.frame = null;
this.seriesKeys = null;
this.domainKeys = null;
if (notify) {
fireDatasetChanged();
}
}
@Override
public Class domainType() {
return isEmpty() ? null : domainType.get();
}
@Override
@SuppressWarnings("unchecked")
public DataFrame frame() {
return (DataFrame)frame;
}
@Override
public boolean contains(S seriesKey) {
return seriesKeys.contains(seriesKey);
}
@Override
public IntFunction domainFunction() {
return domainValueFunction;
}
@Override
public XyDataset withLowerDomainInterval(Function lowerIntervalFunction) {
return this;
}
@Override
public XyDataset withUpperDomainInterval(Function upperIntervalFunction) {
return this;
}
@Override
public int getRowCount() {
return isEmpty() ? 0 : seriesKeys.size();
}
@Override
public int getColumnCount() {
return isEmpty() ? 0 : domainKeys.size();
}
@Override
public List getRowKeys() {
return isEmpty() ? Collections.emptyList() : seriesKeys.toList();
}
@Override
public List getColumnKeys() {
return isEmpty() ? Collections.emptyList() : domainKeys.toList();
}
@Override
public Comparable getRowKey(int rowIndex) {
return seriesKeys.getKey(rowIndex);
}
@Override
public Comparable getColumnKey(int colIndex) {
return domainKeys.getKey(colIndex);
}
@Override
@SuppressWarnings("unchecked")
public int getRowIndex(Comparable rowKey) {
return seriesKeys.getIndexForKey((S)rowKey);
}
@Override
@SuppressWarnings("unchecked")
public int getColumnIndex(Comparable colKey) {
return domainKeys.getIndexForKey((X)colKey);
}
@Override
@SuppressWarnings("unchecked")
public Number getValue(Comparable rowKey, Comparable colKey) {
if (isEmpty()) {
return NAN;
} else {
final int rowOrdinal = domainKeys.getIndexForKey((X)colKey);
final int colOrdinal = frame.cols().ordinalOf((S)rowKey);
return frame.data().getDouble(rowOrdinal, colOrdinal);
}
}
@Override
public Number getValue(int rowIndex, int colIndex) {
if (isEmpty()) {
return NAN;
} else {
final int colOrdinal = colOrdinals.getInt(rowIndex);
return frame.data().getDouble(colIndex, colOrdinal);
}
}
}