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

# The data for the line chart
data0 = [410, 420, 500, 590]
data1 = [500, 370, 680, 850]
labels = ["Q1", "Q2", "Q3", "Q4"]

# Create a XYChart object of size 600 x 400 pixels
c = XYChart(600, 400)

# Add a title to the chart using 18pt Times Bold Italic font
title = c.addTitle("Product Line Global Revenue", "timesbi.ttf", 18)

# Tentatively set the plotarea at (50, 55) and of (chart_width - 100) x (chart_height - 150) pixels
# in size. Use a vertical gradient color from sky blue (aaccff) t0 light blue (f9f9ff) as
# background. Set both horizontal and vertical grid lines to dotted semi-transprent black
# (aa000000).
plotArea = c.setPlotArea(50, 55, c.getWidth() - 100, c.getHeight() - 150, c.linearGradientColor(0,
    55, 0, 55 + c.getHeight() - 150, 0xaaccff, 0xf9fcff), -1, -1, c.dashLineColor(0xaa000000,
    DotLine), -1)

# Set y-axis title using 12 points Arial Bold Italic font, and set its position 10 pixels from the
# axis.
c.yAxis().setTitle("Revenue (USD millions)", "arialbi.ttf", 12)
c.yAxis().setTitlePos(Left, 10)

# Set y-axis label style to 10 points Arial Bold and axis color to transparent
c.yAxis().setLabelStyle("arialbd.ttf", 10)
c.yAxis().setColors(Transparent)

# Set y-axis tick density to 30 pixels. ChartDirector auto-scaling will use this as the guideline
# when putting ticks on the y-axis.
c.yAxis().setTickDensity(30)

# Add a bar layer to the chart with side layout
layer = c.addBarLayer2(Side)

# Add two data sets to the bar layer
layer.addDataSet(data0, 0xff6600, "FY 2007")
layer.addDataSet(data1, 0x0088ff, "FY 2008")

# Use soft lighting effect with light direction from the left
layer.setBorderColor(Transparent, softLighting(Left))

# Set the x axis labels
c.xAxis().setLabels(labels)

# Convert the labels on the x-axis to a CDMLTable
table = c.xAxis().makeLabelTable()

# Set the default left/right margins to 5 pixels and top/bottom margins to 3 pixels. Set the default
# font size to 10 points
cellStyle = table.getStyle()
cellStyle.setMargin2(5, 5, 4, 3)
cellStyle.setFontSize(10)

# Set the first row to use Arial Bold font, with a light grey (eeeeee) background.
firstRowStyle = table.getRowStyle(0)
firstRowStyle.setFontStyle("arialbd.ttf")
firstRowStyle.setBackground(0xeeeeee, LineColor)

#
# We can add more information to the table. In this sample code, we add the data series and the
# legend icons to the table.
#

# Add 3 more rows to the table. Set the background of the 2nd row to light grey (eeeeee).
table.appendRow()
table.appendRow().setBackground(0xeeeeee, LineColor)
table.appendRow()

# Put the values of the 2 data series in the first 2 rows. Put the percentage differences in the 3rd
# row.
for i in range(0, len(data0)) :
    table.setText(i, 1, str(data0[i]))
    table.setText(i, 2, str(data1[i]))

    percentageDiff = 100.0 * (data1[i] - data0[i]) / data0[i]

    # Use red or green color depending on whether the difference is positive or negative
    formatString = "<*color=008800*>+{value|1}%"
    if percentageDiff < 0 :
        formatString = "<*color=cc0000*>{value|1}%"
    table.setText(i, 3, c.formatValue(percentageDiff, formatString))

# Insert a column on the left for the legend icons using Arial Bold font.
table.insertCol(0).setFontStyle("arialbd.ttf")

# The top cell is set to transparent, so it is invisible
table.getCell(0, 0).setBackground(Transparent, Transparent)

# The next 2 cells are set to the legend icons and names of the 2 data series
table.setText(0, 1, "%s  FY 2007" % (layer.getLegendIcon(0)))
table.setText(0, 2, "%s  FY 2008" % (layer.getLegendIcon(1)))

# The last cell is set to "Change"
table.setText(0, 3, "Change")

# Append a column on the right for the total values.
table.appendCol()

# Put "Total" in the top cell as the heading of this column
table.setText(table.getColCount() - 1, 0, "Total")

# The next two cells are the total of the data series
total0 = ArrayMath(data0).sum()
total1 = ArrayMath(data1).sum()
table.setText(table.getColCount() - 1, 1, str(total0))
table.setText(table.getColCount() - 1, 2, str(total1))

# The last cell is the percentage differences of the total
totalPercentageDiff = (total1 - total0) / total0 * 100

# Use red or green color depending on whether the difference is positive or negative
totalFormatString = "<*color=008800*>+{value|1}%"
if totalPercentageDiff < 0 :
    totalFormatString = "<*color=cc0000*>{value|1}%"
table.setText(table.getColCount() - 1, 3, c.formatValue(totalPercentageDiff, totalFormatString))

#
# We now demonstrate how to adjust the plot area positions, to allow space for the newly inserted
# left and right columns in the table.
#

# We layout the axis first in order to get the axis metrics (including table metrics)
c.layoutAxes()

# If the first column is wider than the left y-axis, we need to reserve for some left margin to
# ensure the first column stays within the chart.
leftMargin = 0
if table.getColWidth(0) > c.yAxis().getThickness() :
    leftMargin = table.getColWidth(0) - c.yAxis().getThickness()

# Similarly, we need to reserve some right margin for the last column
rightMargin = table.getColWidth(table.getColCount() - 1)

# Adjust the plot area size, such that the bounding box (inclusive of axes) using the given left and
# right margin, plus 2 more pixels. Put the plot area 10 pixels below the title and use 2 pixels as
# the bottom margin. from the left, right and bottom edge, and is just under the legend box.
c.packPlotArea(leftMargin + 2, title.getHeight() + 10, c.getWidth() - 3 - rightMargin, c.getHeight(
    ) - 3)

# After determining the exact plot area position, we may adjust title position so that it is
# centered relative to the plot area (instead of the chart)
title.setPos(plotArea.getLeftX() + (plotArea.getWidth() - title.getWidth()) / 2, title.getTopY())

# Output the chart
c.makeChart("datatable2.png")

