Surface Chart (2)

[Ruby On Rails Version - Controller] app/controllers/surface2_controller.rb

require("chartdirector")

class Surface2Controller < ApplicationController

    def index()
        @title = "Surface Chart (2)"
        @ctrl_file = File.expand_path(__FILE__)
        @noOfCharts = 1
        render :template => "templates/chartview"
    end

    #
    # Render and deliver the chart
    #
    def getchart()
        # 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 = Array.new(dataX.length * dataY.length, 0)
        0.upto(dataY.length - 1) do |yIndex|
            y = (dataY[yIndex] - 0.5) * 2 * 3.1416
            0.upto(dataX.length - 1) do |xIndex|
                x = (dataX[xIndex] - 0.5) * 2 * 3.1416
                dataZ[yIndex * dataX.length + xIndex] = Math.sin(x) * Math.sin(y)
            end
        end

        # Create a SurfaceChart object of size 720 x 540 pixels
        c = ChartDirector::SurfaceChart.new(720, 540)

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

        # Set the center of the plot region at (360, 245), and set width x depth x height to 360 x
        # 360 x 270 pixels
        c.setPlotRegion(360, 245, 360, 360, 270)

        # Set the elevation and rotation angles to 20 and 30 degrees
        c.setViewAngle(20, 30)

        # 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)

        # Set surface grid lines to semi-transparent black (dd000000)
        c.setSurfaceAxisGrid(0xdd000000)

        # 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 (645, 270). Set the
        # length to 200 pixels and the labels on the right side. Use smooth gradient coloring.
        c.setColorAxis(645, 270, ChartDirector::Left, 200, ChartDirector::Right).setColorGradient()

        # Set the x, y and z axis titles using 10 points Arial Bold font
        c.xAxis().setTitle("x/L(x)", "arialbd.ttf", 10)
        c.yAxis().setTitle("y/L(y)", "arialbd.ttf", 10)
        c.zAxis().setTitle("Wave Function Amplitude", "arialbd.ttf", 10)

        # Output the chart
        send_data(c.makeChart2(ChartDirector::JPG), :type => "image/jpeg", :disposition => "inline")

    end

end

[Ruby On Rails Version - View] app/views/templates/chartview.html.erb

<html>
<body style="margin:5px 0px 0px 5px">

<!-- Title -->
<div style="font-size:18pt; font-family:verdana; font-weight:bold">
    <%= @title %>
</div>
<hr style="border:solid 1px #000080" />

<!-- Source Code Listing Link -->
<div style="font-size:9pt; font-family:verdana; margin-bottom:1.5em">
    <%= link_to "Source Code Listing", 
        :controller => "cddemo", :action => "viewsource",
        :ctrl_file => @ctrl_file, :view_file => File.expand_path(__FILE__) %>
</div>

<!-- Create one or more IMG tags to display the demo chart(s) -->
<% 0.upto(@noOfCharts - 1) do |i| %>
    <img src="<%= url_for(:action => "getchart", :img => i) %>">
<% end %>

</body>
</html>

[Command Line Version] rubydemo/surface2.rb

#!/usr/bin/env ruby
require("chartdirector")

# 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 = Array.new(dataX.length * dataY.length, 0)
0.upto(dataY.length - 1) do |yIndex|
    y = (dataY[yIndex] - 0.5) * 2 * 3.1416
    0.upto(dataX.length - 1) do |xIndex|
        x = (dataX[xIndex] - 0.5) * 2 * 3.1416
        dataZ[yIndex * dataX.length + xIndex] = Math.sin(x) * Math.sin(y)
    end
end

# Create a SurfaceChart object of size 720 x 540 pixels
c = ChartDirector::SurfaceChart.new(720, 540)

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

# Set the center of the plot region at (360, 245), and set width x depth x height to 360 x 360 x 270
# pixels
c.setPlotRegion(360, 245, 360, 360, 270)

# Set the elevation and rotation angles to 20 and 30 degrees
c.setViewAngle(20, 30)

# 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)

# Set surface grid lines to semi-transparent black (dd000000)
c.setSurfaceAxisGrid(0xdd000000)

# 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 (645, 270). Set the length
# to 200 pixels and the labels on the right side. Use smooth gradient coloring.
c.setColorAxis(645, 270, ChartDirector::Left, 200, ChartDirector::Right).setColorGradient()

# Set the x, y and z axis titles using 10 points Arial Bold font
c.xAxis().setTitle("x/L(x)", "arialbd.ttf", 10)
c.yAxis().setTitle("y/L(y)", "arialbd.ttf", 10)
c.zAxis().setTitle("Wave Function Amplitude", "arialbd.ttf", 10)

# Output the chart
c.makeChart("surface2.jpg")