#!/usr/bin/python
from pychartdir import *
# The XY data of the first data series
dataX0 = [10, 35, 17, 4, 22, 29, 45, 52, 63, 39]
dataY0 = [2.0, 3.2, 2.7, 1.2, 2.8, 2.9, 3.1, 3.0, 2.3, 3.3]
# The XY data of the second data series
dataX1 = [30, 35, 17, 4, 22, 59, 43, 52, 63, 39]
dataY1 = [1.0, 1.3, 0.7, 0.6, 0.8, 3.0, 1.8, 2.3, 3.4, 1.5]
# The XY data of the third data series
dataX2 = [28, 35, 15, 10, 22, 60, 46, 64, 39]
dataY2 = [2.0, 2.2, 1.2, 0.4, 1.8, 2.7, 2.4, 2.8, 2.4]
# Create a XYChart object of size 540 x 480 pixels
c = XYChart(540, 480)
# Set the plotarea at (70, 65) and of size 400 x 350 pixels, with white background
# and a light grey border (0xc0c0c0). Turn on both horizontal and vertical grid lines
# with light grey color (0xc0c0c0)
c.setPlotArea(70, 65, 400, 350, '0xffffff', -1, '0xc0c0c0', '0xc0c0c0', -1)
# Add a legend box with the top center point anchored at (270, 30). Use horizontal
# layout. Use 10 pts Arial Bold Italic font. Set the background and border color to
# Transparent.
legendBox = c.addLegend(270, 30, 0, "arialbi.ttf", 10)
legendBox.setAlignment(TopCenter)
legendBox.setBackground(Transparent, Transparent)
# Add a title to the chart using 18 point Times Bold Itatic font.
c.addTitle("Parametric Curve Fitting", "timesbi.ttf", 18)
# Add titles to the axes using 12 pts Arial Bold Italic font
c.yAxis().setTitle("Axis Title Placeholder", "arialbi.ttf", 12)
c.xAxis().setTitle("Axis Title Placeholder", "arialbi.ttf", 12)
# Set the axes line width to 3 pixels
c.yAxis().setWidth(3)
c.xAxis().setWidth(3)
# Add a scatter layer using (dataX0, dataY0)
c.addScatterLayer(dataX0, dataY0, "Polynomial", GlassSphere2Shape, 11, '0xff0000')
# Add a degree 2 polynomial trend line layer for (dataX0, dataY0)
trend0 = c.addTrendLayer2(dataX0, dataY0, '0xff0000')
trend0.setLineWidth(3)
trend0.setRegressionType(PolynomialRegression(2))
# Add a scatter layer for (dataX1, dataY1)
c.addScatterLayer(dataX1, dataY1, "Exponential", GlassSphere2Shape, 11, '0x00aa00')
# Add an exponential trend line layer for (dataX1, dataY1)
trend1 = c.addTrendLayer2(dataX1, dataY1, '0x00aa00')
trend1.setLineWidth(3)
trend1.setRegressionType(ExponentialRegression)
# Add a scatter layer using (dataX2, dataY2)
c.addScatterLayer(dataX2, dataY2, "Logarithmic", GlassSphere2Shape, 11, '0x0000ff')
# Add a logarithmic trend line layer for (dataX2, dataY2)
trend2 = c.addTrendLayer2(dataX2, dataY2, '0x0000ff')
trend2.setLineWidth(3)
trend2.setRegressionType(LogarithmicRegression)
# Output the chart
c.makeChart("paramcurve.png") |