Multi-Symbol Line Chart

This example demonstrates a line with different symbols for different data points. It also demonstrates unevenly spaced data points on an auto-scaled true date/time axis, and automatic resizing of the plot area to fit the chart.

The chart in this example is created by using a line layer for the line, and using multiple scatter layers for different types of symbols. The scatter layers are created first using XYChart.addScatterLayer, followed by the line layer using XYChart.addLineLayer. This ensures the symbols stays on top of the line.

The ArrayMath utility, through the ArrayMath.selectEQZ and ArrayMath.sub methods, is used to select the subset of data to be used for various symbols.

Note that in this example, the data points are unevenly spaced, and the x coordinates are real date/time. The x coordinates are set into the scatter layer as the first argument to XYChart.addScatterLayer, and into the line layer using Layer.setXData. As the x-axis scale is not configured, ChartDirector auto-scales the x-axis to fit the data.

After the entire chart is configured, the XYChart.packPlotArea method is used to adjust the plot area size, so as to fit the plot area and the axes in a given bounding box.

pythondemo\multisymbolline.py

#!/usr/bin/python

# The ChartDirector for Python module is assumed to be in "../lib"
import sys, os
sys.path.insert(0, os.path.join(os.path.abspath(sys.path[0]), "..", "lib"))

from pychartdir import *

# In this example, the data points are unevenly spaced on the x-axis
dataY = [4.7, 4.7, 6.6, 2.2, 4.7, 4.0, 4.0, 5.1, 4.5, 4.5, 6.8, 4.5, 4, 2.1, 3, 2.5, 2.5, 3.1]
dataX = [chartTime(1999, 7, 1), chartTime(2000, 1, 1), chartTime(2000, 2, 1), chartTime(2000, 4, 1),
    chartTime(2000, 5, 8), chartTime(2000, 7, 5), chartTime(2001, 3, 5), chartTime(2001, 4, 7),
    chartTime(2001, 5, 9), chartTime(2002, 2, 4), chartTime(2002, 4, 4), chartTime(2002, 5, 8),
    chartTime(2002, 7, 7), chartTime(2002, 8, 30), chartTime(2003, 1, 2), chartTime(2003, 2, 16),
    chartTime(2003, 11, 6), chartTime(2004, 1, 4)]

# Data points are assigned different symbols based on point type
pointType = [0, 1, 0, 1, 2, 1, 0, 0, 1, 1, 2, 2, 1, 0, 2, 1, 2, 0]

# Create a XYChart object of size 480 x 320 pixels. Use a vertical gradient color from pale blue
# (e8f0f8) to sky blue (aaccff) spanning half the chart height as background. Set border to blue
# (88aaee). Use rounded corners. Enable soft drop shadow.
c = XYChart(480, 320)
c.setBackground(c.linearGradientColor(0, 0, 0, c.getHeight() / 2, 0xe8f0f8, 0xaaccff), 0x88aaee)
c.setRoundedFrame()
c.setDropShadow()

# Add a title to the chart using 15 points Arial Italic font. Set top/bottom margins to 12 pixels.
title = c.addTitle("Multi-Symbol Line Chart Demo", "Arial Italic", 15)
title.setMargin2(0, 0, 12, 12)

# Tentatively set the plotarea to 50 pixels from the left edge to allow for the y-axis, and to just
# under the title. Set the width to 65 pixels less than the chart width, and the height to reserve
# 90 pixels at the bottom for the x-axis and the legend box. Use pale blue (e8f0f8) background,
# transparent border, and grey (888888) dotted horizontal and vertical grid lines.
c.setPlotArea(50, title.getHeight(), c.getWidth() - 65, c.getHeight() - title.getHeight() - 90,
    0xe8f0f8, -1, Transparent, c.dashLineColor(0x888888, DotLine), -1)

# Add a legend box where the bottom-center is anchored to the 12 pixels above the bottom-center of
# the chart. Use horizontal layout and 8 points Arial font.
legendBox = c.addLegend(c.getWidth() / 2, c.getHeight() - 12, 0, "Arial Bold", 8)
legendBox.setAlignment(BottomCenter)

# Set the legend box background and border to pale blue (e8f0f8) and bluish grey (445566)
legendBox.setBackground(0xe8f0f8, 0x445566)

# Use rounded corners of 5 pixel radius for the legend box
legendBox.setRoundedCorners(5)

# Set the y axis label format to display a percentage sign
c.yAxis().setLabelFormat("{value}%")

# Set y-axis title to use 10 points Arial Bold Italic font
c.yAxis().setTitle("Axis Title Placeholder", "Arial Bold Italic", 10)

# Set axis labels to use Arial Bold font
c.yAxis().setLabelStyle("Arial Bold")
c.xAxis().setLabelStyle("Arial Bold")

# We add the different data symbols using scatter layers. The scatter layers are added before the
# line layer to make sure the data symbols stay on top of the line layer.

# We select the points with pointType = 0 (the non-selected points will be set to NoValue), and use
# yellow (ffff00) 15 pixels high 5 pointed star shape symbols for the points. (This example uses
# both x and y coordinates. For charts that have no x explicitly coordinates, use an empty array as
# dataX.)
c.addScatterLayer(dataX, ArrayMath(dataY).selectEQZ(pointType, NoValue).result(), "Point Type 0",
    StarShape(5), 15, 0xffff00)

# Similar to above, we select the points with pointType - 1 = 0 and use green (ff00) 13 pixels high
# six-sided polygon as symbols.
c.addScatterLayer(dataX, ArrayMath(dataY).selectEQZ(ArrayMath(pointType).sub(1).result(), NoValue
    ).result(), "Point Type 1", PolygonShape(6), 13, 0x00ff00)

# Similar to above, we select the points with pointType - 2 = 0 and use red (ff0000) 13 pixels high
# X shape as symbols.
c.addScatterLayer(dataX, ArrayMath(dataY).selectEQZ(ArrayMath(pointType).sub(2).result(), NoValue
    ).result(), "Point Type 2", Cross2Shape(), 13, 0xff0000)

# Finally, add a blue (0000ff) line layer with line width of 2 pixels
layer = c.addLineLayer(dataY, 0x0000ff)
layer.setXData(dataX)
layer.setLineWidth(2)

# Adjust the plot area size, such that the bounding box (inclusive of axes) is 10 pixels from the
# left edge, just below the title, 25 pixels from the right edge, and 8 pixels above the legend box.
c.packPlotArea(10, title.getHeight(), c.getWidth() - 25, c.layoutLegend().getTopY() - 8)

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