#!/usr/bin/python
from pychartdir import *
import cgi, sys
# Get HTTP query parameters
query = cgi.FieldStorage()
#
# In this demo, the generated web page needs to load the "cdjcv.js" Javascript file and several GIF
# files. For ease of installation, we put these files in the same directory as this script. However,
# if this script is installed in a CGI only directory (such as cgi-bin), the web server would not
# allow the browser to access these non-CGI files.
#
# To get around this potential issue, a special load resource script is used to load these files.
# Instead of using:
#
# <SCRIPT SRC="cdjcv.js">
#
# we now use:
#
# <SCRIPT SRC="loadresource.py?file=cdjcv.js">
#
# Similar methods are used to load the GIF files.
#
# If this script is not in a CGI only directory, you may replace the following loadResource string
# with an empty string "" to improve performance.
#
loadResource = "loadresource.py?file="
# Data for the chart as 3 random data series
r = RanSeries(127)
data0 = r.getSeries(100, 100, -15, 15)
data1 = r.getSeries(100, 150, -15, 15)
data2 = r.getSeries(100, 200, -15, 15)
timeStamps = r.getDateSeries(100, chartTime(2011, 1, 1), 86400)
# Create a XYChart object of size 640 x 400 pixels
c = XYChart(640, 400)
# Add a title to the chart using 18pt Times New Roman Bold Italic font
c.addTitle(" Product Line Global Revenue", "timesbi.ttf", 18)
# Set the plotarea at (50, 55) with width 70 pixels less than chart width, and height 90 pixels less
# than chart height. Use a vertical gradient from light blue (f0f6ff) to sky blue (a0c0ff) as
# background. Set border to transparent and grid lines to white (ffffff).
c.setPlotArea(50, 55, c.getWidth() - 70, c.getHeight() - 90, c.linearGradientColor(0, 55, 0,
c.getHeight() - 35, 0xf0f6ff, 0xa0c0ff), -1, Transparent, 0xffffff, 0xffffff)
# Set axis label style to 8pt Arial Bold
c.xAxis().setLabelStyle("arialbd.ttf", 8)
c.yAxis().setLabelStyle("arialbd.ttf", 8)
# Set the axis stem to transparent
c.xAxis().setColors(Transparent)
c.yAxis().setColors(Transparent)
# Configure x-axis label format
c.xAxis().setMultiFormat(StartOfYearFilter(), "{value|mm/yyyy} ", StartOfMonthFilter(), "{value|mm}"
)
# Add axis title using 10pt Arial Bold Italic font
c.yAxis().setTitle("USD millions", "arialbi.ttf", 10)
# Add a line layer to the chart using a line width of 2 pixels.
layer = c.addLineLayer2()
layer.setLineWidth(2)
# Add 3 data series to the line layer
layer.setXData(timeStamps)
layer.addDataSet(data0, 0xff3333, "Alpha")
layer.addDataSet(data1, 0x008800, "Beta")
layer.addDataSet(data2, 0x3333cc, "Gamma")
# Create the WebChartViewer object
viewer = WebChartViewer(query, "chart1")
# Output the chart
chartQuery = c.makeTmpFile("/tmp/tmpcharts")
# Set the chart URL to the viewer
viewer.setImageUrl("getchart.py?img=/tmp/tmpcharts/" + chartQuery)
# Output Javascript chart model to the browser to support tracking cursor
viewer.setChartModel(c.getJsChartModel())
print("Content-type: text/html\n")
print("""
<!DOCTYPE html>
<html>
<head>
<title>Track Line with Legend</title>
<script type="text/javascript" src="%(loadResource)scdjcv.js"></script>
</head>
<body style="margin:5px 0px 0px 5px">
<script type="text/javascript">
//
// Use the window load event to set up the MouseMovePlotArea event handler
//
JsChartViewer.addEventListener(window, 'load', function() {
var viewer = JsChartViewer.get('%(id)s');
// Draw track cursor when mouse is moving over plotarea
viewer.attachHandler(["MouseMovePlotArea", "TouchStartPlotArea", "TouchMovePlotArea", "ChartMove", "Now"],
function(e) {
this.preventDefault(e); // Prevent the browser from using touch events for other actions
trackLineLegend(viewer, viewer.getPlotAreaMouseX());
});
});
//
// Draw track line with legend
//
function trackLineLegend(viewer, mouseX)
{
// Remove all previously drawn tracking object
viewer.hideObj("all");
// The chart and its plot area
var c = viewer.getChart();
var plotArea = c.getPlotArea();
// Get the data x-value that is nearest to the mouse, and find its pixel coordinate.
var xValue = c.getNearestXValue(mouseX);
var xCoor = c.getXCoor(xValue);
if (xCoor == null)
return;
// Draw a vertical track line at the x-position
viewer.drawVLine("trackLine", xCoor, plotArea.getTopY(), plotArea.getBottomY(), "black 1px dotted");
// Array to hold the legend entries
var legendEntries = [];
// Iterate through all layers to build the legend array
for (var i = 0; i < c.getLayerCount(); ++i)
{
var layer = c.getLayerByZ(i);
// The data array index of the x-value
var xIndex = layer.getXIndexOf(xValue);
// Iterate through all the data sets in the layer
for (var j = 0; j < layer.getDataSetCount(); ++j)
{
var dataSet = layer.getDataSetByZ(j);
// We are only interested in visible data sets with names, as they are required for legend entries.
var dataName = dataSet.getDataName();
var color = dataSet.getDataColor();
if ((!dataName) || (color == null))
continue;
// Build the legend entry, consist of a colored square box, the name and the data value.
var dataValue = dataSet.getValue(xIndex);
legendEntries.push("<nobr>" + viewer.htmlRect(7, 7, color) + " " + dataName + ": " +
((dataValue == null) ? "N/A" : dataValue.toPrecision(4)) + viewer.htmlRect(20, 0) + "</nobr> ");
// Draw a track dot for data points within the plot area
var yCoor = c.getYCoor(dataSet.getPosition(xIndex), dataSet.getUseYAxis());
if ((yCoor != null) && (yCoor >= plotArea.getTopY()) && (yCoor <= plotArea.getBottomY()))
{
viewer.showTextBox("dataPoint" + i + "_" + j, xCoor, yCoor, JsChartViewer.Center,
viewer.htmlRect(7, 7, color));
}
}
}
// Create the legend by joining the legend entries.
var legend = "<nobr>[" + c.xAxis().getFormattedLabel(xValue, "mm/dd/yyyy") + "]" + viewer.htmlRect(20, 0) +
"</nobr> " + legendEntries.reverse().join("");
// Display the legend on the top of the plot area
viewer.showTextBox("legend", plotArea.getLeftX(), plotArea.getTopY(), JsChartViewer.BottomLeft, legend,
"width:" + plotArea.getWidth() + "px;font:bold 11px Arial;padding:3px;-webkit-text-size-adjust:100%%;");
}
</script>
<div style="font-size:18pt; font-family:verdana; font-weight:bold">
Track Line with Legend
</div>
<hr style="border:solid 1px #000080" />
<div style="font-size:10pt; font-family:verdana; margin-bottom:1.5em">
<a href="viewsource.py?file=%(SCRIPT_NAME)s">View Source Code</a>
</div>
<!-- ****** Here is the chart image ****** -->
%(chartImg)s
</body>
</html>
""" % {
"loadResource" : loadResource,
"id" : viewer.getId(),
"SCRIPT_NAME" : os.environ["SCRIPT_NAME"],
"chartImg" : viewer.renderHTML()
}) |