





This example demonstrates the effects of various perspective depth, configured using ThreeDChart.setPerspective.
ChartDirector 6.0 (Python Edition)
Surface Perspective
Source Code Listing
#!/usr/bin/python from pychartdir import * import math def createChart(chartIndex) : # The x and y coordinates of the grid dataX = [0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0] dataY = [0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0] # The values at the grid points. In this example, we will compute the values using the formula z # = sin((x - 0.5) * 2 * pi) * sin((y - 0.5) * 2 * pi) dataZ = [0] * (len(dataX) * len(dataY)) for yIndex in range(0, len(dataY)) : y = (dataY[yIndex] - 0.5) * 2 * 3.1416 for xIndex in range(0, len(dataX)) : x = (dataX[xIndex] - 0.5) * 2 * 3.1416 dataZ[yIndex * len(dataX) + xIndex] = math.sin(x) * math.sin(y) # the perspective level perspective = chartIndex * 12 # Create a SurfaceChart object of size 360 x 360 pixels, with white (ffffff) background and grey # (888888) border. c = SurfaceChart(360, 360, 0xffffff, 0x888888) # Set the perspective level c.setPerspective(perspective) c.addTitle("Perspective = %s" % (perspective)) # Set the center of the plot region at (195, 165), and set width x depth x height to 200 x 200 x # 150 pixels c.setPlotRegion(195, 165, 200, 200, 150) # Set the plot region wall thichness to 5 pixels c.setWallThickness(5) # Set the elevation and rotation angles to 30 and 30 degrees c.setViewAngle(30, 30) # Set the data to use to plot the chart c.setData(dataX, dataY, dataZ) # Spline interpolate data to a 40 x 40 grid for a smooth surface c.setInterpolation(40, 40) # Use smooth gradient coloring. c.colorAxis().setColorGradient() # Output the chart c.makeChart("surfaceperspective%s.jpg" % chartIndex) createChart(0) createChart(1) createChart(2) createChart(3) createChart(4) createChart(5) |
#!/usr/bin/python from pychartdir import * import cgi, sys, math # Get HTTP query parameters query = cgi.FieldStorage() # This script can draw different charts depending on the chartIndex chartIndex = int(query["img"].value) # The x and y coordinates of the grid dataX = [0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0] dataY = [0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0] # The values at the grid points. In this example, we will compute the values using the formula z = # sin((x - 0.5) * 2 * pi) * sin((y - 0.5) * 2 * pi) dataZ = [0] * (len(dataX) * len(dataY)) for yIndex in range(0, len(dataY)) : y = (dataY[yIndex] - 0.5) * 2 * 3.1416 for xIndex in range(0, len(dataX)) : x = (dataX[xIndex] - 0.5) * 2 * 3.1416 dataZ[yIndex * len(dataX) + xIndex] = math.sin(x) * math.sin(y) # the perspective level perspective = chartIndex * 12 # Create a SurfaceChart object of size 360 x 360 pixels, with white (ffffff) background and grey # (888888) border. c = SurfaceChart(360, 360, 0xffffff, 0x888888) # Set the perspective level c.setPerspective(perspective) c.addTitle("Perspective = %s" % (perspective)) # Set the center of the plot region at (195, 165), and set width x depth x height to 200 x 200 x 150 # pixels c.setPlotRegion(195, 165, 200, 200, 150) # Set the plot region wall thichness to 5 pixels c.setWallThickness(5) # Set the elevation and rotation angles to 30 and 30 degrees c.setViewAngle(30, 30) # Set the data to use to plot the chart c.setData(dataX, dataY, dataZ) # Spline interpolate data to a 40 x 40 grid for a smooth surface c.setInterpolation(40, 40) # Use smooth gradient coloring. c.colorAxis().setColorGradient() # Output the chart print("Content-type: image/jpeg\n") binaryPrint(c.makeChart2(JPG)) |