ChartDirector 7.0 (Python Edition)

X Zone Coloring




This example demonstrates using x zone colors - colors that change at certain x value thresholds.

In this example, a x zone colors are used as the color of the line, and as the fill color of the band surrounding the line.

The x zone color for the line is configured to change from solid blue color to a red dash line color upon reaching a certain x value threshold. The x zone color for the band is configured to change from semi-transparent blue to semi-transparent red upon reaching the same threshold.

X zone colors are created using Layer.xZoneColor. You can use a x zone color in any ChartDirector API that expects a color. For instance, you can use a x zone color as background color, fill color of data sets, line color, etc.

A single x zone color can support one threshold value and change between two colors. The two colors can be any colors, including another x zone color. You may create x zone colors with multiple thresholds by cascading multiple x zone colors this way.

Source Code Listing

pythondemo\xzonecolor.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 chart data = [50, 55, 47, 34, 42, 49, 63, 62, 73, 59, 56, 50, 64, 60, 67, 67, 58, 59, 73, 77, 84, 82, 80, 84, 89] # The error data representing the error band around the data points errData = [5, 6, 5.1, 6.5, 6.6, 8, 5.4, 5.1, 4.6, 5.0, 5.2, 6.0, 4.9, 5.6, 4.8, 6.2, 7.4, 7.1, 6.5, 9.6, 12.1, 15.3, 18.5, 20.9, 24.1] # The timestamps for the data labels = [chartTime(2001, 1, 1), chartTime(2001, 2, 1), chartTime(2001, 3, 1), chartTime(2001, 4, 1 ), chartTime(2001, 5, 1), chartTime(2001, 6, 1), chartTime(2001, 7, 1), chartTime(2001, 8, 1), chartTime(2001, 9, 1), chartTime(2001, 10, 1), chartTime(2001, 11, 1), chartTime(2001, 12, 1), chartTime(2002, 1, 1), chartTime(2002, 2, 1), chartTime(2002, 3, 1), chartTime(2002, 4, 1), chartTime(2002, 5, 1), chartTime(2002, 6, 1), chartTime(2002, 7, 1), chartTime(2002, 8, 1), chartTime(2002, 9, 1), chartTime(2002, 10, 1), chartTime(2002, 11, 1), chartTime(2002, 12, 1), chartTime(2003, 1, 1)] # Create a XYChart object of size 550 x 220 pixels c = XYChart(550, 220) # Set the plot area at (50, 10) and of size 480 x 180 pixels. Enabled both vertical and horizontal # grids by setting their colors to light grey (cccccc) c.setPlotArea(50, 10, 480, 180).setGridColor(0xcccccc, 0xcccccc) # Add a legend box (50, 10) (top of plot area) using horizontal layout. Use 8pt Arial font. Disable # bounding box (set border to transparent). legendBox = c.addLegend(50, 10, 0, "", 8) legendBox.setBackground(Transparent) # Add keys to the legend box to explain the color zones legendBox.addKey("Historical", 0x9999ff) legendBox.addKey("Forecast", 0xff9966) # Add a title to the y axis. c.yAxis().setTitle("Energy Consumption") # Set the labels on the x axis c.xAxis().setLabels2(labels) # Set multi-style axis label formatting. Use Arial Bold font for yearly labels and display them as # "yyyy". Use default font for monthly labels and display them as "mmm". Replace some labels with # minor ticks to ensure the labels are at least 3 units apart. c.xAxis().setMultiFormat(StartOfYearFilter(), "<*font=Arial Bold*>{value|yyyy}", StartOfMonthFilter( ), "{value|mmm}", 3) # Add a line layer to the chart layer = c.addLineLayer2() # Create the color to draw the data line. The line is blue (0x333399) to the left of x = 18, and # become a red (0xd04040) dash line to the right of x = 18. lineColor = layer.xZoneColor(18, 0x333399, c.dashLineColor(0xd04040, DashLine)) # Add the data line layer.addDataSet(data, lineColor) # Create the color to draw the err zone. The color is semi-transparent blue (0x809999ff) to the left # of x = 18, and become semi-transparent red (0x80ff9966) to the right of x = 18. errColor = layer.xZoneColor(18, 0x809999ff, 0x80ff9966) # Add the upper border of the err zone layer.addDataSet(ArrayMath(data).add(errData).result(), errColor) # Add the lower border of the err zone layer.addDataSet(ArrayMath(data).sub(errData).result(), errColor) # Set the default line width to 2 pixels layer.setLineWidth(2) # Color the region between the err zone lines c.addInterLineLayer(layer.getLine(1), layer.getLine(2), errColor) # Output the chart c.makeChart("xzonecolor.png")