ChartDirector 7.0 (Python Edition)

Surface Chart (1)




This example demonstrates the basic steps in creating surface charts.

Source Code Listing

pythondemo\surface.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 * import math # The x and y coordinates of the grid dataX = [-10, -9, -8, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] dataY = [-10, -9, -8, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] # The values at the grid points. In this example, we will compute the values using the formula z = x # * sin(y) + y * sin(x). dataZ = [0] * (len(dataX) * len(dataY)) for yIndex in range(0, len(dataY)) : y = dataY[yIndex] for xIndex in range(0, len(dataX)) : x = dataX[xIndex] dataZ[yIndex * len(dataX) + xIndex] = x * math.sin(y) + y * math.sin(x) # Create a SurfaceChart object of size 720 x 600 pixels c = SurfaceChart(720, 600) # Add a title to the chart using 20 points Times New Roman Italic font c.addTitle("Surface Energy Density ", "Times New Roman Italic", 20) # Set the center of the plot region at (350, 280), and set width x depth x height to 360 x 360 x 270 # pixels c.setPlotRegion(350, 280, 360, 360, 270) # Set the data to use to plot the chart c.setData(dataX, dataY, dataZ) # Spline interpolate data to a 80 x 80 grid for a smooth surface c.setInterpolation(80, 80) # Add a color axis (the legend) in which the left center is anchored at (645, 270). Set the length # to 200 pixels and the labels on the right side. c.setColorAxis(645, 270, Left, 200, Right) # Set the x, y and z axis titles using 10 points Arial Bold font c.xAxis().setTitle("X (nm)", "Arial Bold", 10) c.yAxis().setTitle("Y (nm)", "Arial Bold", 10) c.zAxis().setTitle("Energy Density (J/m<*font,super*>2<*/font*>)", "Arial Bold", 10) # Output the chart c.makeChart("surface.jpg")