ChartDirector Ver 5.0 (Python Edition)

Surface Chart (3)




This example demonstrates using deep perspective. It also demonstrates surface grid lines of different line styles.

Source Code Listing

[Standalone Version] pythondemo\surface3.py
#!/usr/bin/python
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 = Sin(x * x / 128 - y * y / 256 + 3) * Cos(x / 4 + 1 - Exp(y / 8))
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] = math.sin(
            x * x / 128.0 - y * y / 256.0 + 3) * math.cos(x / 4.0 + 1 - math.exp(
            y / 8.0))

# Create a SurfaceChart object of size 750 x 600 pixels
c = SurfaceChart(750, 600)

# Add a title to the chart using 20 points Times New Roman Italic font
c.addTitle("Surface Energy Density       ", "timesi.ttf", 20)

# Set the center of the plot region at (380, 260), and set width x depth x height to
# 360 x 360 x 270 pixels
c.setPlotRegion(380, 260, 360, 360, 270)

# Set the elevation and rotation angles to 30 and 210 degrees
c.setViewAngle(30, 210)

# Set the perspective level to 60
c.setPerspective(60)

# 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)

# Use semi-transparent black (c0000000) for x and y major surface grid lines. Use
# dotted style for x and y minor surface grid lines.
majorGridColor = '0xc0000000'
minorGridColor = c.dashLineColor(majorGridColor, DotLine)
c.setSurfaceAxisGrid(majorGridColor, majorGridColor, minorGridColor, minorGridColor)

# Set contour lines to semi-transparent white (80ffffff)
c.setContourColor('0x80ffffff')

# Add a color axis (the legend) in which the left center is anchored at (665, 280).
# Set the length to 200 pixels and the labels on the right side.
c.setColorAxis(665, 280, Left, 200, Right)

# Set the x, y and z axis titles using 12 points Arial Bold font
c.xAxis().setTitle("X Title\nPlaceholder", "arialbd.ttf", 12)
c.yAxis().setTitle("Y Title\nPlaceholder", "arialbd.ttf", 12)
c.zAxis().setTitle("Z Title Placeholder", "arialbd.ttf", 12)

# Output the chart
c.makeChart("surface3.jpg")

[CGI Version] pythondemo_cgi\surface3.py
#!/usr/bin/python
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 = Sin(x * x / 128 - y * y / 256 + 3) * Cos(x / 4 + 1 - Exp(y / 8))
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] = math.sin(
            x * x / 128.0 - y * y / 256.0 + 3) * math.cos(x / 4.0 + 1 - math.exp(
            y / 8.0))

# Create a SurfaceChart object of size 750 x 600 pixels
c = SurfaceChart(750, 600)

# Add a title to the chart using 20 points Times New Roman Italic font
c.addTitle("Surface Energy Density       ", "timesi.ttf", 20)

# Set the center of the plot region at (380, 260), and set width x depth x height to
# 360 x 360 x 270 pixels
c.setPlotRegion(380, 260, 360, 360, 270)

# Set the elevation and rotation angles to 30 and 210 degrees
c.setViewAngle(30, 210)

# Set the perspective level to 60
c.setPerspective(60)

# 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)

# Use semi-transparent black (c0000000) for x and y major surface grid lines. Use
# dotted style for x and y minor surface grid lines.
majorGridColor = '0xc0000000'
minorGridColor = c.dashLineColor(majorGridColor, DotLine)
c.setSurfaceAxisGrid(majorGridColor, majorGridColor, minorGridColor, minorGridColor)

# Set contour lines to semi-transparent white (80ffffff)
c.setContourColor('0x80ffffff')

# Add a color axis (the legend) in which the left center is anchored at (665, 280).
# Set the length to 200 pixels and the labels on the right side.
c.setColorAxis(665, 280, Left, 200, Right)

# Set the x, y and z axis titles using 12 points Arial Bold font
c.xAxis().setTitle("X Title\nPlaceholder", "arialbd.ttf", 12)
c.yAxis().setTitle("Y Title\nPlaceholder", "arialbd.ttf", 12)
c.zAxis().setTitle("Z Title Placeholder", "arialbd.ttf", 12)

# Output the chart
print("Content-type: image/jpeg\n")
binaryPrint(c.makeChart2(JPG))