Examples of com.google.refine.browsing.util.NumericBinIndex

com.google.refine.browsing.util.NumericBinIndex
A utility class for computing the base bins that form the base histograms of numeric range facets. It evaluates an expression on all the rows of a project to get numeric values, determines how many bins to distribute those values in, and bins the rows accordingly. This class processes all rows rather than just the filtered rows because it needs to compute the base bins of a numeric range facet, which remain unchanged as the user interacts with the facet.

        if (columnName_x.length() > 0) {
            Column x_column = project.columnModel.getColumnByName(columnName_x);
            if (x_column != null) {
                columnIndex_x = x_column.getCellIndex();
                
                NumericBinIndex index_x = ScatterplotFacet.getBinIndex(project, x_column, eval_x, expression_x);
                min_x = index_x.getMin();
                max_x = index_x.getMax();
            } else {
                errorMessage_x = "No column named " + columnName_x;
            }
        } else {
            columnIndex_x = -1;
        }
        
        try {
            eval_x = MetaParser.parse(expression_x);
        } catch (ParsingException e) {
            errorMessage_x = e.getMessage();
        }
        
        columnName_y = o.getString(Y_COLUMN_NAME);
        expression_y = o.getString(Y_EXPRESSION);
        
        if (columnName_y.length() > 0) {
            Column y_column = project.columnModel.getColumnByName(columnName_y);
            if (y_column != null) {
                columnIndex_y = y_column.getCellIndex();
                
                NumericBinIndex index_y = ScatterplotFacet.getBinIndex(project, y_column, eval_y, expression_y);
                min_y = index_y.getMin();
                max_y = index_y.getMax();
            } else {
                errorMessage_y = "No column named " + columnName_y;
            }
        } else {
            columnIndex_y = -1;

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    @Override
    public void computeChoices(Project project, FilteredRows filteredRows) {
        if (eval_x != null && eval_y != null && errorMessage_x == null && errorMessage_y == null) {
            Column column_x = project.columnModel.getColumnByCellIndex(columnIndex_x);
            NumericBinIndex index_x = getBinIndex(project, column_x, eval_x, expression_x, "row-based");
            
            Column column_y = project.columnModel.getColumnByCellIndex(columnIndex_y);
            NumericBinIndex index_y = getBinIndex(project, column_y, eval_y, expression_y, "row-based");


            retrieveDataFromBinIndices(index_x, index_y);
            
            if (IMAGE_URI) {
                if (index_x.isNumeric() && index_y.isNumeric()) {
                    ScatterplotDrawingRowVisitor drawer = new ScatterplotDrawingRowVisitor(
                      columnIndex_x, columnIndex_y, min_x, max_x, min_y, max_y, 
                      size, dim_x, dim_y, rotation, dot, color
                    );
                    filteredRows.accept(project, drawer);

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    @Override
    public void computeChoices(Project project, FilteredRecords filteredRecords) {
        if (eval_x != null && eval_y != null && errorMessage_x == null && errorMessage_y == null) {
            Column column_x = project.columnModel.getColumnByCellIndex(columnIndex_x);
            NumericBinIndex index_x = getBinIndex(project, column_x, eval_x, expression_x, "record-based");
            
            Column column_y = project.columnModel.getColumnByCellIndex(columnIndex_y);
            NumericBinIndex index_y = getBinIndex(project, column_y, eval_y, expression_y, "record-based");
            
            retrieveDataFromBinIndices(index_x, index_y);
            
            if (IMAGE_URI) {
                if (index_x.isNumeric() && index_y.isNumeric()) {
                    ScatterplotDrawingRowVisitor drawer = new ScatterplotDrawingRowVisitor(
                      columnIndex_x, columnIndex_y, min_x, max_x, min_y, max_y, 
                      size, dim_x, dim_y, rotation, dot, color
                    );
                    filteredRecords.accept(project, drawer);

View Full Code Here

                eval = MetaParser.parse(expression);
            } catch (ParsingException e) {
                logger.warn("Error parsing expression",e);
            }
        }
        NumericBinIndex index = (NumericBinIndex) column.getPrecompute(key);
        if (index == null) {
            index = "row-based".equals(mode) ? 
                    new NumericBinRowIndex(project, new ExpressionBasedRowEvaluable(column.getName(), column.getCellIndex(), eval)) :
                        new NumericBinRecordIndex(project, new ExpressionBasedRowEvaluable(column.getName(), column.getCellIndex(), eval));

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        if (_eval != null && _errorMessage == null) {
            RowEvaluable rowEvaluable = getRowEvaluable(project);
            
            Column column = project.columnModel.getColumnByCellIndex(_cellIndex);
            String key = "numeric-bin:row-based:" + _expression;
            NumericBinIndex index = (NumericBinIndex) column.getPrecompute(key);
            if (index == null) {
                index = new NumericBinRowIndex(project, rowEvaluable);
                column.setPrecompute(key, index);
            }

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        if (_eval != null && _errorMessage == null) {
            RowEvaluable rowEvaluable = getRowEvaluable(project);
            
            Column column = project.columnModel.getColumnByCellIndex(_cellIndex);
            String key = "numeric-bin:record-based:" + _expression;
            NumericBinIndex index = (NumericBinIndex) column.getPrecompute(key);
            if (index == null) {
                index = new NumericBinRecordIndex(project, rowEvaluable);
                column.setPrecompute(key, index);
            }

View Full Code Here

            eval_y = MetaParser.parse(expression_y);
        } catch (ParsingException e) {
            logger.warn("error parsing expression", e);
        }
        
        NumericBinIndex index_x = null;
        NumericBinIndex index_y = null;
        
        String col_x_name = o.getString(ScatterplotFacet.X_COLUMN_NAME);
        Column column_x = project.columnModel.getColumnByName(col_x_name);
        if (column_x != null) {
            columnIndex_x = column_x.getCellIndex();
            index_x = ScatterplotFacet.getBinIndex(project, column_x, eval_x, expression_x);
            min_x = index_x.getMin();
            max_x = index_x.getMax();
        }


        String col_y_name = o.getString(ScatterplotFacet.Y_COLUMN_NAME);
        Column column_y = project.columnModel.getColumnByName(col_y_name);
        if (column_y != null) {
            columnIndex_y = column_y.getCellIndex();
            index_y = ScatterplotFacet.getBinIndex(project, column_y, eval_y, expression_y);
            min_y = index_y.getMin();
            max_y = index_y.getMax();
        }
        
        if (index_x != null && index_y != null && index_x.isNumeric() && index_y.isNumeric()) {
            ScatterplotDrawingRowVisitor drawer = new ScatterplotDrawingRowVisitor(
                columnIndex_x, columnIndex_y, min_x, max_x, min_y, max_y, 
                size, dim_x, dim_y, rotation, dot, color
            );

View Full Code Here

        try {
            eval = MetaParser.parse(expression);
        } catch (ParsingException e) {
            // this should never happen
        }
        NumericBinIndex index = (NumericBinIndex) column.getPrecompute(key);
        if (index == null) {
            index = new NumericBinRowIndex(project, new ExpressionBasedRowEvaluable(column.getName(), column.getCellIndex(), eval));
            column.setPrecompute(key, index);
        }
        return index;

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        }
        return index;
    }
    
    private void write(Project project, Column column, JSONWriter writer) throws JSONException {
        NumericBinIndex columnIndex = getBinIndex(project, column);
        if (columnIndex != null) {
            writer.key("name");
            writer.value(column.getName());
            boolean is_numeric = columnIndex.isNumeric();
            writer.key("is_numeric");
            writer.value(is_numeric);
            writer.key("numeric_row_count");
            writer.value(columnIndex.getNumericRowCount());
            writer.key("non_numeric_row_count");
            writer.value(columnIndex.getNonNumericRowCount());
            writer.key("error_row_count");
            writer.value(columnIndex.getErrorRowCount());
            writer.key("blank_row_count");
            writer.value(columnIndex.getBlankRowCount());
            if (is_numeric) {
                writer.key("min");
                writer.value(columnIndex.getMin());
                writer.key("max");
                writer.value(columnIndex.getMax());
                writer.key("step");
                writer.value(columnIndex.getStep());
            }
        } else {
            writer.key("error");
            writer.value("error finding numeric information on the '" + column.getName() + "' column");
        }

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Related Classes of com.google.refine.browsing.util.NumericBinIndex

com.google.refine.browsing.facets.RangeFacet

com.google.refine.browsing.facets.ScatterplotFacet

com.google.refine.commands.browsing.GetScatterplotCommand

com.google.refine.commands.column.GetColumnsInfoCommand

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