ChartDirector 7.0 (Python Edition)

Data Table (2)




This example demonstrates putting a data table under the x-axis and extend it with additional computed values.

Similar to the previous example Data Table (1), in this example, Axis.makeLabelTable is used to convert the axis labels to a table. The returned CDMLTable object is used to add more content to the table and to configure the appearance of the table.

Source Code Listing

pythondemo\datatable2.py
#!/usr/bin/python # The ChartDirector for Python module is assumed to be in "../lib" import sys, os sys.path.insert(0, os.path.join(os.path.abspath(sys.path[0]), "..", "lib")) from pychartdir import * # The data for the line chart data0 = [410, 420, 500, 590] data1 = [500, 370, 680, 850] labels = ["Q1", "Q2", "Q3", "Q4"] # Create a XYChart object of size 600 x 400 pixels c = XYChart(600, 400) # Add a title to the chart using 18pt Times Bold Italic font title = c.addTitle("Product Line Global Revenue", "Times New Roman Bold Italic", 18) # Tentatively set the plotarea at (50, 55) and of (chart_width - 100) x (chart_height - 150) pixels # in size. Use a vertical gradient color from sky blue (aaccff) t0 light blue (f9f9ff) as # background. Set both horizontal and vertical grid lines to dotted semi-transprent black # (aa000000). plotArea = c.setPlotArea(50, 55, c.getWidth() - 100, c.getHeight() - 150, c.linearGradientColor(0, 55, 0, 55 + c.getHeight() - 150, 0xaaccff, 0xf9fcff), -1, -1, c.dashLineColor(0xaa000000, DotLine), -1) # Set y-axis title using 12 points Arial Bold Italic font, and set its position 10 pixels from the # axis. c.yAxis().setTitle("Revenue (USD millions)", "Arial Bold Italic", 12) c.yAxis().setTitlePos(Left, 10) # Set y-axis label style to 10 points Arial Bold and axis color to transparent c.yAxis().setLabelStyle("Arial Bold", 10) c.yAxis().setColors(Transparent) # Set y-axis tick density to 30 pixels. ChartDirector auto-scaling will use this as the guideline # when putting ticks on the y-axis. c.yAxis().setTickDensity(30) # Add a bar layer to the chart with side layout layer = c.addBarLayer2(Side) # Add two data sets to the bar layer layer.addDataSet(data0, 0xff6600, "FY 2007") layer.addDataSet(data1, 0x0088ff, "FY 2008") # Use soft lighting effect with light direction from the left layer.setBorderColor(Transparent, softLighting(Left)) # Set the x axis labels c.xAxis().setLabels(labels) # Convert the labels on the x-axis to a CDMLTable table = c.xAxis().makeLabelTable() # Set the default left/right margins to 5 pixels and top/bottom margins to 3 pixels. Set the default # font size to 10 points cellStyle = table.getStyle() cellStyle.setMargin2(5, 5, 4, 3) cellStyle.setFontSize(10) # Set the first row to use Arial Bold font, with a light grey (eeeeee) background. firstRowStyle = table.getRowStyle(0) firstRowStyle.setFontStyle("Arial Bold") firstRowStyle.setBackground(0xeeeeee, LineColor) # # We can add more information to the table. In this sample code, we add the data series and the # legend icons to the table. # # Add 3 more rows to the table. Set the background of the 2nd row to light grey (eeeeee). table.appendRow() table.appendRow().setBackground(0xeeeeee, LineColor) table.appendRow() # Put the values of the 2 data series in the first 2 rows. Put the percentage differences in the 3rd # row. for i in range(0, len(data0)) : table.setText(i, 1, str(data0[i])) table.setText(i, 2, str(data1[i])) percentageDiff = 100.0 * (data1[i] - data0[i]) / data0[i] # Use red or green color depending on whether the difference is positive or negative formatString = "<*color=008800*>+{value|1}%" if percentageDiff < 0 : formatString = "<*color=cc0000*>{value|1}%" table.setText(i, 3, c.formatValue(percentageDiff, formatString)) # Insert a column on the left for the legend icons using Arial Bold font. table.insertCol(0).setFontStyle("Arial Bold") # The top cell is set to transparent, so it is invisible table.getCell(0, 0).setBackground(Transparent, Transparent) # The next 2 cells are set to the legend icons and names of the 2 data series table.setText(0, 1, "%s FY 2007" % (layer.getLegendIcon(0))) table.setText(0, 2, "%s FY 2008" % (layer.getLegendIcon(1))) # The last cell is set to "Change" table.setText(0, 3, "Change") # Append a column on the right for the total values. table.appendCol() # Put "Total" in the top cell as the heading of this column table.setText(table.getColCount() - 1, 0, "Total") # The next two cells are the total of the data series total0 = ArrayMath(data0).sum() total1 = ArrayMath(data1).sum() table.setText(table.getColCount() - 1, 1, str(total0)) table.setText(table.getColCount() - 1, 2, str(total1)) # The last cell is the percentage differences of the total totalPercentageDiff = (total1 - total0) / total0 * 100 # Use red or green color depending on whether the difference is positive or negative totalFormatString = "<*color=008800*>+{value|1}%" if totalPercentageDiff < 0 : totalFormatString = "<*color=cc0000*>{value|1}%" table.setText(table.getColCount() - 1, 3, c.formatValue(totalPercentageDiff, totalFormatString)) # # We now demonstrate how to adjust the plot area positions, to allow space for the newly inserted # left and right columns in the table. # # We layout the axis first in order to get the axis metrics (including table metrics) c.layoutAxes() # If the first column is wider than the left y-axis, we need to reserve for some left margin to # ensure the first column stays within the chart. leftMargin = 0 if table.getColWidth(0) > c.yAxis().getThickness() : leftMargin = table.getColWidth(0) - c.yAxis().getThickness() # Similarly, we need to reserve some right margin for the last column rightMargin = table.getColWidth(table.getColCount() - 1) # Adjust the plot area size, such that the bounding box (inclusive of axes) using the given left and # right margin, plus 2 more pixels. Put the plot area 10 pixels below the title and use 2 pixels as # the bottom margin. from the left, right and bottom edge, and is just under the legend box. c.packPlotArea(leftMargin + 2, title.getHeight() + 10, c.getWidth() - 3 - rightMargin, c.getHeight( ) - 3) # After determining the exact plot area position, we may adjust title position so that it is # centered relative to the plot area (instead of the chart) title.setPos(plotArea.getLeftX() + (plotArea.getWidth() - title.getWidth()) / 2, title.getTopY()) # Output the chart c.makeChart("datatable2.png")