



This example demonstrates the effects of various surface shading methods, configured using SurfaceChart.setShadingMode.
ChartDirector 6.0 (Python Edition)
Surface Shading
Source Code Listing
#!/usr/bin/python from pychartdir import * import math def createChart(chartIndex) : # The x and y coordinates of the grid dataX = [-10, -8, -6, -4, -2, 0, 2, 4, 6, 8, 10] dataY = [-10, -8, -6, -4, -2, 0, 2, 4, 6, 8, 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 380 x 400 pixels, with white (ffffff) background and grey # (888888) border. c = SurfaceChart(380, 400, 0xffffff, 0x888888) # Demonstrate various shading methods if chartIndex == 0 : c.addTitle("11 x 11 Data Points\nSmooth Shading") elif chartIndex == 1 : c.addTitle("11 x 11 Points - Spline Fitted to 50 x 50\nSmooth Shading") c.setInterpolation(50, 50) elif chartIndex == 2 : c.addTitle("11 x 11 Data Points\nRectangular Shading") c.setShadingMode(RectangularShading) else : c.addTitle("11 x 11 Data Points\nTriangular Shading") c.setShadingMode(TriangularShading) # Set the center of the plot region at (175, 200), and set width x depth x height to 200 x 200 x # 160 pixels c.setPlotRegion(175, 200, 200, 200, 160) # Set the plot region wall thichness to 5 pixels c.setWallThickness(5) # Set the elevation and rotation angles to 45 and 60 degrees c.setViewAngle(45, 60) # Set the perspective level to 35 c.setPerspective(35) # Set the data to use to plot the chart c.setData(dataX, dataY, dataZ) # Set contour lines to semi-transparent black (c0000000) c.setContourColor(0xc0000000) # Output the chart c.makeChart("surfaceshading%s.jpg" % chartIndex) createChart(0) createChart(1) createChart(2) createChart(3) |
#!/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 = [-10, -8, -6, -4, -2, 0, 2, 4, 6, 8, 10] dataY = [-10, -8, -6, -4, -2, 0, 2, 4, 6, 8, 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 380 x 400 pixels, with white (ffffff) background and grey # (888888) border. c = SurfaceChart(380, 400, 0xffffff, 0x888888) # Demonstrate various shading methods if chartIndex == 0 : c.addTitle("11 x 11 Data Points\nSmooth Shading") elif chartIndex == 1 : c.addTitle("11 x 11 Points - Spline Fitted to 50 x 50\nSmooth Shading") c.setInterpolation(50, 50) elif chartIndex == 2 : c.addTitle("11 x 11 Data Points\nRectangular Shading") c.setShadingMode(RectangularShading) else : c.addTitle("11 x 11 Data Points\nTriangular Shading") c.setShadingMode(TriangularShading) # Set the center of the plot region at (175, 200), and set width x depth x height to 200 x 200 x 160 # pixels c.setPlotRegion(175, 200, 200, 200, 160) # Set the plot region wall thichness to 5 pixels c.setWallThickness(5) # Set the elevation and rotation angles to 45 and 60 degrees c.setViewAngle(45, 60) # Set the perspective level to 35 c.setPerspective(35) # Set the data to use to plot the chart c.setData(dataX, dataY, dataZ) # Set contour lines to semi-transparent black (c0000000) c.setContourColor(0xc0000000) # Output the chart print("Content-type: image/jpeg\n") binaryPrint(c.makeChart2(JPG)) |