#!/usr/bin/python
from pychartdir import *

# Use random table to generate a random series. The random table is set to 1 col x 51 rows, with 9
# as the seed
rantable = RanTable(9, 1, 51)

# Set the 1st column to start from 100, with changes between rows from -5 to +5
rantable.setCol(0, 100, -5, 5)

# Get the 1st column of the random table as the data set
data = rantable.getCol(0)

# Create a XYChart object of size 600 x 300 pixels
c = XYChart(600, 300)

# Set the plotarea at (50, 35) and of size 500 x 240 pixels. Enable both the horizontal and vertical
# grids by setting their colors to grey (0xc0c0c0)
c.setPlotArea(50, 35, 500, 240).setGridColor(0xc0c0c0, 0xc0c0c0)

# Add a title to the chart using 18 point Times Bold Itatic font.
c.addTitle("LOWESS Generic Curve Fitting Algorithm", "timesbi.ttf", 18)

# Set the y axis line width to 3 pixels
c.yAxis().setWidth(3)

# Add a title to the x axis using 12pt Arial Bold Italic font
c.xAxis().setTitle("Server Load (TPS)", "arialbi.ttf", 12)

# Set the x axis line width to 3 pixels
c.xAxis().setWidth(3)

# Set the x axis scale from 0 - 50, with major tick every 5 units and minor tick every 1 unit
c.xAxis().setLinearScale(0, 50, 5, 1)

# Add a blue layer to the chart
layer = c.addLineLayer2()

# Add a red (0x80ff0000) data set to the chart with square symbols
layer.addDataSet(data, 0x80ff0000).setDataSymbol(SquareSymbol)

# Set the line width to 2 pixels
layer.setLineWidth(2)

# Use lowess for curve fitting, and plot the fitted data using a spline layer with line width set to
# 3 pixels
c.addSplineLayer(ArrayMath(data).lowess().result(), 0x0000ff).setLineWidth(3)

# Set zero affinity to 0 to make sure the line is displayed in the most detail scale
c.yAxis().setAutoScale(0, 0, 0)

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

