Examples of org.gephi.data.attributes.api.AttributeRow

org.gephi.data.attributes.api.AttributeRow
Rows contains {@link AttributeValue}, one for each column. Rows are not stored in columns and nor in tables, they are stored in the object that possess the row, for instance Nodes or Edges.
But colums are fixed, stored in AttributeTable. Rows always contains the values in the same order as columns are described in the table.
For instance, if an table contains a single column label, the column index is equal to 0 and the value can be retrieved in the following ways:
- row.getValue(column);
- row.getValue("label");
- row.getValue(0);
Rows are build from a {@link AttributeRowFactory}, that can be get from the {@link AttributeModel}.
Nodes and edges
Nodes and edges elements are build from Graph API, and already have a default row that can be found with {@link NodeData#getAttributes()} and{@link EdgeData#getAttributes()}. Please cast Attributes in AttributesRow to profit from the complete API. @author Mathieu Bastian @author Cezary Bartosiak @see AttributeColumn @see AttributeTable @see AttributeValue

                    writeTimeInterval(xmlWriter, timeInterval);
                }
            }


            if (exportAttributes && node.getNodeData().getAttributes() != null) {
                AttributeRow attributeRow = (AttributeRow) node.getNodeData().getAttributes();
                writeAttValues(xmlWriter, attributeRow, visibleInterval);
            }


            if (exportSize) {
                writeNodeSize(xmlWriter, node);

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            if (exportColors) {
                writeEdgeColor(xmlWriter, edge);
            }


            if (exportAttributes && edge.getEdgeData().getAttributes() != null) {
                AttributeRow attributeRow = (AttributeRow) edge.getEdgeData().getAttributes();
                writeAttValues(xmlWriter, attributeRow, visibleInterval);
            }


            xmlWriter.writeEndElement();
            Progress.progress(progress);

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                cc /= (network[v].length() * (network[v].length() - 1));
                if (!isDirected) {
                    cc *= 2.0f;
                }
                nodeClustering[v] = cc;
                AttributeRow row = (AttributeRow) network[v].node.getNodeData().getAttributes();
                row.setValue(clusteringCol, cc);
                row.setValue(triCount, triangles[v]);
                avgClusteringCoeff += cc;
            }
            Progress.progress(progress, ++ProgressCount);


            if (isCanceled) {

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        Progress.start(progress, graph.getNodeCount());
        int i = 0;


        for (Node n : graph.getNodes()) {
            AttributeRow row = (AttributeRow) n.getNodeData().getAttributes();
            float totalWeight = 0;
            for (Iterator it = graph.getEdgesAndMetaEdges(n).iterator(); it.hasNext();) {
                Edge e = (Edge) it.next();
                totalWeight += e.getWeight();
            }


            row.setValue(degCol, totalWeight);
            avgWDegree += totalWeight;


            if (!degreeDist.containsKey(totalWeight)) {
                degreeDist.put(totalWeight, 0);
            }

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        graph.readLock();


        Progress.start(progress, graph.getNodeCount());


        for (Node n : graph.getNodes()) {
            AttributeRow row = (AttributeRow) n.getNodeData().getAttributes();
            if (graph instanceof DirectedGraph) {
                HierarchicalDirectedGraph hdg = graph.getGraphModel().getHierarchicalDirectedGraph();
                int inDegree = hdg.getTotalInDegree(n);
                int outDegree = hdg.getTotalOutDegree(n);
                row.setValue(inCol, inDegree);
                row.setValue(outCol, outDegree);
                if (!inDegreeDist.containsKey(inDegree)) {
                    inDegreeDist.put(inDegree, 0);
                }
                inDegreeDist.put(inDegree, inDegreeDist.get(inDegree) + 1);
                if (!outDegreeDist.containsKey(outDegree)) {
                    outDegreeDist.put(outDegree, 0);
                }
                outDegreeDist.put(outDegree, outDegreeDist.get(outDegree) + 1);
            }
            int degree = graph.getTotalDegree(n);
            row.setValue(degCol, degree);
            avgDegree += degree;
            if (!degreeDist.containsKey(degree)) {
                degreeDist.put(degree, 0);
            }
            degreeDist.put(degree, degreeDist.get(degree) + 1);

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            hubsCol = nodeTable.addColumn(HUB, "Hub", AttributeType.FLOAT, AttributeOrigin.COMPUTED, new Float(0));
        }


        for (Node s : hgraph.getNodes()) {
            int s_index = indicies.get(s);
            AttributeRow row = (AttributeRow) s.getNodeData().getAttributes();
            row.setValue(authorityCol, (float) authority[s_index]);
            row.setValue(hubsCol, (float) hubs[s_index]);
        }


        hgraph.readUnlockAll();
    }

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            pangeRanksCol = nodeTable.addColumn(PAGERANK, "PageRank", AttributeType.DOUBLE, AttributeOrigin.COMPUTED, new Double(0));
        }


        for (Node s : hgraph.getNodes()) {
            int s_index = indicies.get(s);
            AttributeRow row = (AttributeRow) s.getNodeData().getAttributes();
            row.setValue(pangeRanksCol, pageranks[s_index]);
        }


        hgraph.readUnlockAll();
    }

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            Progress.progress(progress);
        }


        for (int i = 0; i < N; i++) {
            Node s = indicies.get(i);
            AttributeRow row = (AttributeRow) s.getNodeData().getAttributes();
            row.setValue(eigenCol, centralities[i]);
            if (isCanceled) {
                return;
            }
        }
        hgraph.readUnlock();

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            clearEdgeData(e, columnsToClear);
        }
    }


    public void clearRowData(Attributes row, AttributeColumn[] columnsToClear) {
        AttributeRow attributeRow = (AttributeRow) row;
        if (columnsToClear != null) {
            for (AttributeColumn column : columnsToClear) {
                //Clear all except id and computed attributes:
                if (canClearColumnData(column)) {
                    row.setValue(column.getIndex(), null);
                }
            }
        } else {
            AttributeValue[] values = attributeRow.getValues();
            for (int i = 0; i < values.length; i++) {
                //Clear all except id and computed attributes:
                if (canClearColumnData(values[i].getColumn())) {
                    row.setValue(i, null);
                }

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        copyRowDataToOtherRows(row, otherRows, columnsToCopy);
    }


    public void copyRowDataToOtherRows(Attributes row, Attributes[] otherRows, AttributeColumn[] columnsToCopy) {
        AttributeRow attributeRow = (AttributeRow) row;
        if (columnsToCopy != null) {
            for (AttributeColumn column : columnsToCopy) {
                //Copy all except id and computed attributes:
                if (canChangeColumnData(column)) {
                    for (Attributes otherRow : otherRows) {
                        otherRow.setValue(column.getIndex(), row.getValue(column.getIndex()));
                    }
                }
            }
        } else {
            AttributeColumn column;
            AttributeValue[] values = attributeRow.getValues();
            for (int i = 0; i < values.length; i++) {
                column = values[i].getColumn();
                //Copy all except id and computed attributes:
                if (canChangeColumnData(column)) {
                    for (Attributes otherRow : otherRows) {

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Examples of org.gephi.data.attributes.api.AttributeRow

Nodes and edges

Related Classes of org.gephi.data.attributes.api.AttributeRow