ChartDirector 7.0 (Python Edition)

Binary Data Series




This example demonstrates a chart representing binary data series.

A binary data series is a series with elements that can only assume two values. In this example, 0 and 1 are used to represent the two values.

There are plenty of methods to represent binary data series in a chart. In this example, three methods are demonstrated.

Source Code Listing

pythondemo\binaryseries.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 dataY = [1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 1] dataX = [chartTime(2008, 7, 1, 0, 0, 0), chartTime(2008, 7, 1, 2, 17, 2), chartTime(2008, 7, 1, 8, 5, 30), chartTime(2008, 7, 1, 10, 54, 10), chartTime(2008, 7, 1, 15, 40, 0), chartTime(2008, 7, 1, 18, 22, 20), chartTime(2008, 7, 1, 22, 17, 14), chartTime(2008, 7, 2, 2, 55, 50), chartTime( 2008, 7, 2, 8, 17, 14), chartTime(2008, 7, 2, 11, 55, 50), chartTime(2008, 7, 2, 13, 17, 14), chartTime(2008, 7, 2, 17, 55, 50), chartTime(2008, 7, 2, 20, 17, 14), chartTime(2008, 7, 3, 0, 0, 0)] # In this example, we only use position 1, 3, 5 for the data series. Positions 0, 2, 4, 6 are empty # and serve as gaps. labels = ["", "ON Only Filling", "", "<*font,color=cc2200*>ON<*/font*> / <*font,color=00aa22*>OFF<*/font*> Filling", "", "Logic Line", ""] # Create a XYChart object of size 600 x 180 pixels c = XYChart(600, 180) # Add a title to the chart using 10 points Arial Bold font. Set top/bottom margins to 12 pixels. title = c.addTitle("Binary Data Series Demonstration", "Arial Bold", 10) # Tentatively set the plotarea at (100, 30) and of size 470 x 120 pixels. Use transparent border. # Use grey (888888) solid line and light grey (ccccc) dotted line as major and minor vertical grid # lines. c.setPlotArea(100, 30, 470, 120, -1, -1, Transparent).setGridColor(Transparent, 0x888888, Transparent, c.dashLineColor(0xcccccc, DotLine)) # Set axes to transparent c.xAxis().setColors(Transparent) c.yAxis().setColors(Transparent) # Set the y axis labels c.yAxis().setLabels(labels) # Set y-axis label style to 8pt Arial Bold c.yAxis().setLabelStyle("Arial Bold", 8) # Set x-axis major and minor tick density to 50 and 5 pixels. ChartDirector auto-scaling will use # this as the guideline when putting ticks on the x-axis. c.xAxis().setTickDensity(50, 5) # Use "<*font=Arial Bold*>{value|mmm dd}" for the first label of an hour, and "{value|hh:nn}" for # all other labels. c.xAxis().setMultiFormat(StartOfDayFilter(), "<*font=Arial Bold*>{value|mmm dd}", AllPassFilter(), "{value|hh:nn}") # # A Logic Line can be achieved using a StepLineLayer in ChartDirector # # Shift the data by 4.5, so instead of 0 - 1, it is now 4.5 to 5.5, or fluctuate around the y = 5 # (Logic Line label) position. shiftedLine0 = ArrayMath(dataY).add(4.5).result() # Add step lines using the original and the reversed data layer0 = c.addStepLineLayer(shiftedLine0, 0x0000ff) layer0.setXData(dataX) # # To perform ON/OFF filling, we draw the logic line, and its reverse, and fill the region in between # # Shift the data by 2.5, so instead of 0 - 1, it is now 2.5 to 3.5, or fluctuate around the y = 3 # (ON/OFF Filing label) position. shiftedLine1 = ArrayMath(dataY).add(2.5).result() # Reverse the data, so the 0 becomes 1 and 1 becomes 0, and shift it as well. reverseShiftedLine1 = ArrayMath(dataY).mul(-1).add(3.5).result() # Add step lines using the original and the reversed data layer1 = c.addStepLineLayer(shiftedLine1, Transparent) layer1.addDataSet(reverseShiftedLine1, Transparent) layer1.setXData(dataX) # Fill the region between the two step lines with green (00aa22) or red (cc2200), depending on # whether the original or the reserve is higher. c.addInterLineLayer(layer1.getLine(0), layer1.getLine(1), 0x00aa22, 0xcc2200) # # The ON Only filling is the same as ON/OFF filling, except the OFF filling color is transparent # # Shift the data by 0.5, so instead of 0 - 1, it is now 0.5 to 1.5, or fluctuate around the y = 1 # (ON Only Filing label) position. shiftedLine2 = ArrayMath(dataY).add(0.5).result() # Reverse the data, so the 0 becomes 1 and 1 becomes 0, and shift it as well. reverseShiftedLine2 = ArrayMath(dataY).mul(-1).add(1.5).result() # Add step lines using the original and the reversed data layer2 = c.addStepLineLayer(shiftedLine2, Transparent) layer2.addDataSet(reverseShiftedLine2, Transparent) layer2.setXData(dataX) # Fill the region between the two step lines with green (00aa22) or transparent, depending on # whether the original or the reserve is higher. c.addInterLineLayer(layer2.getLine(0), layer2.getLine(1), 0x00aa22, Transparent) # Adjust the plot area size, such that the bounding box (inclusive of axes) is 10 pixels from the # left edge, 10 pixels below the title, 30 pixels from the right edge, and 10 pixels above the # bottom edge. c.packPlotArea(10, title.getHeight() + 10, c.getWidth() - 30, c.getHeight() - 10) # Output the chart c.makeChart("binaryseries.png")