ChartDirector 7.0 (Python Edition)

Symbol Line Chart




This example demonstrates using symbols to represent data points, and putting data labels on top of the symbols.

Note that in this example, the chart title background is not a solid color but a 1 x 2 pixels pattern.

Source Code Listing

pythondemo\symbolline.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 = [60.2, 51.7, 81.3, 48.6, 56.2, 68.9, 52.8] data1 = [30.0, 32.7, 33.9, 29.5, 32.2, 28.4, 29.8] labels = ["Sun", "Mon", "Tue", "Wed", "Thu", "Fri", "Sat"] # Create a XYChart object of size 300 x 180 pixels, with a pale yellow (0xffffc0) background, a # black border, and 1 pixel 3D border effect. c = XYChart(300, 180, 0xffffc0, 0x000000, 1) # Set the plotarea at (45, 35) and of size 240 x 120 pixels, with white background. Turn on both # horizontal and vertical grid lines with light grey color (0xc0c0c0) c.setPlotArea(45, 35, 240, 120, 0xffffff, -1, -1, 0xc0c0c0, -1) # Add a legend box at (45, 12) (top of the chart) using horizontal layout and 8pt Arial font Set the # background and border color to Transparent. c.addLegend(45, 12, 0, "", 8).setBackground(Transparent) # Add a title to the chart using 9pt Arial Bold/white font. Use a 1 x 2 bitmap pattern as the # background. c.addTitle("Server Load (Jun 01 - Jun 07)", "Arial Bold", 9, 0xffffff).setBackground(c.patternColor( [0x004000, 0x008000], 2)) # Set the y axis label format to nn% c.yAxis().setLabelFormat("{value}%") # Set the labels on the x axis c.xAxis().setLabels(labels) # Add a line layer to the chart layer = c.addLineLayer() # Add the first line. Plot the points with a 7 pixel square symbol layer.addDataSet(data0, 0xcf4040, "Peak").setDataSymbol(SquareSymbol, 7) # Add the second line. Plot the points with a 9 pixel dismond symbol layer.addDataSet(data1, 0x40cf40, "Average").setDataSymbol(DiamondSymbol, 9) # Enable data label on the data points. Set the label format to nn%. layer.setDataLabelFormat("{value|0}%") # Output the chart c.makeChart("symbolline.png")