Return Type

Method

Description

addBarData( name, value )

Add a bar graph data to DataChart.

addCurveData( name, value )

Add a curve graph data to DataChart.

addIntervalCurve( name, value )

Add an interval curve graph data to DataChart.

addSeriesData( name, value )

Add a line graph data to DataChart.

clear()

Remove the data of DataChart.

connect( eventName, func )

Register an event handler to DataChart. When clicked on the graph, it is able to receive the clicked location.

fitDataScale()

Autoscale the Y-axis scale based on the data displayed on the graph

list[float]

getGraphData( name )

Read the data printed on the graph.

moveToY2Scale( name )

Enter the name of the graph using the right Y-axis of DataChart.

setBarChartStyle( style )

Set the style of the bar graph to DataChart.

setBarColor( name, color )

Set the color of the bar graph to DataChart.

setBarSpacing( width )

Set the space of the bar graph to DataChart.

setBaseLine( yValue )

When setting the fill on the line chart, set the bottom standard value of the fill area.

setBottomLabelRotate( angle )

Display the X-axis label with rotating to a given angle to DataChart.

setCategories( names )

Set the X-axis label to DataChart.

setDataVisible( index , visible )

Reveal or hide the graph.

setDisplayTextColor( name, color )

Change the text color of data values.

setDisplayValueStyle( textSize, color )

Set the text size and color of data values displaying on the bar graph.

setEnableDisplayValue( enabled )

Set whether data values are displayed on the bar graph.

setLeftLabelRotate( angle )

Display the Y-axis value with rotating to a given angle to DataChart.

setLegendTextColor( name, color )

Set the color of legend to DataChart.

setLineColor( name, color )

Set the line color of the line graph to DataChart.

setLineFillColor( name , color )

Set the fill color on the line graph.

setLineStyle( name, style )

Set the line style of line graph to DataChart.

setLineWidth( name, width )

Set the line width of line graph to DataChart.

setMarker( name, value, dir )

Set a line form of marker to DataChart.

setMarker( name, index, markerColor, labelColor, textSize, pointSize )

Set a dot from of marker to DataChart.

setMarkerStyle( name, fontSize, textColor, lineColor, lineWidth, style )

Set the style of marker to DataChart.

setRightLabelRotate( angle )

Display the Y-axis value with rotating to a given angle to DataChart.

setTitle( title )

Set the title to DataChart.

setXRange( min, max, step )

Set the range and space of X-axis to DataChart.

setYRange( min, max, step )

Set the range and space of Y-axis to DataChart.

setY2Range( min, max, step )

Set the range and space of the right Y-axis to DataChart.

setZone( name, start, end, dir )

Create the zone(area) to DataChart.

setZoneStyle( name, zoneColor, lineColor, lineWidth, style )

Set the style of zone(area) to DataChart.

setZoomMode( mode )

Set the zoom to DataChart.

showLegend( show )

Reveal or hide the legend to DataChart.

  setTitle( title:Title )

  setTitle is a function that sets the name of DataChart.

        ㆍ title: Enter the name of DataChart.

  Example)

       chart = canvas.getObject('DataChart_0')  #Obtain the data chart widget.

       chart.setTitle('Electricity Demands')  #Set the name of DataChart as ' '.

  addSeriesData( name:Graph name, value:Data )

  addSeriesData adds the data of the line graph to DataChart.

        ㆍ name: Enter the name of the line graph data. The name is displayed on legend, each graph must have a different name.

        ㆍ value: Enter the data of the line graph. Set the list of data which is [index, value].

  ※ Notice

        ㆍ The data list is set in order of index and displayed.

        ㆍ When writing the data list, it should be set in order of the X-axis index.

  Example) Use the dual number

       chart = canvas.getObject('DataChart_0')  #Obtain the data chart widget.

       chart.setTitle('Electricity demands')  #Set the name of DataChart as ''.

       kwData = list()

       kwData = ([0, 11000],[1, 13000],[2, 16000],[3, 17000],[4, 23000],[5, 24000],

              [6, 27000],[7, 28000],[8, 30000],[9, 29000],[10, 25000],[11, 15000] )

       chart.addSeriesData('Electricity 1', kwData)  #Represent the data to the data chart as a line graph, and set the name as 'Electricity 1'.

  Example)  Use the negative number.

       chart = canvas.getObject('DataChart_0')  #Obtain the data chart widget.

       chart.setTitle('Electricity Demands')  #Set the name of DataChart as ''.

       kwData = list()

       kwData = ([0, -11000],[1, -13000],[2, -16000],[3, -17000],[4, -23000],[5, -24000],

              [6, -27000],[7, -28000],[8, -30000],[9, -29000],[10, -25000],[11, -15000] )

       chart.addSeriesData('Electricity 1', kwData)  #Represent the data to the data chart as a line graph, and set the name as 'Electricity 1'.

  addCurveData( name:Graph name, value:Data )

  addCurveData adds the data of the curve graph to DataChart.

        ㆍ name: Enter the name of the curve graph.

        ㆍ value: Enter the data of the curve graph. Value must be set in order of the X-axis.

  ※ Notice

        ㆍ The data list is set in order of the X-axis index and displayed.

        ㆍ When writing the data list, the index of the first data is 0, and it increments by 1 for the next data.

  Example)

       chart = canvas.getObject('DataChart_0')  #Obtain the data chart widget.

       kwData = list()

       kwData = (22000, 26000, 32000, 34000, 46000, 48000,

              54000, 56000, 60000, 58000, 50000, 35000)

       chart.addCurveData('Electricity 4', kwData)  #Represent the data to the data chart as a line graph, and set the name as 'Electricity 4'.

  setLineStyle( name:Graph name, style:Line style )

  setLineStyle sets the line style of the line graph to DataChart.

        ㆍ name: Enter the name of the line graph.

        ㆍ style: Set the style of the line graph. Line types are defined as SolidLine, DashLine, DotLine, DashDotLine, DashDotDotLine on DataSeriseChartItem .

                - SolidLine : Draw a solid line.

                - DashLine : Draw a dash line.

                - DotLine : Draw a dot line.

                - DashDotLine : Draw a dash dot line.

                - DashDotDotLine : Draw a dash dot dot line.

  Example)

       chart = canvas.getObject('DataChart_0')  #Obtain the data chart widget.

       chart.setTitle('Electricity Demands')  #Set the name of the data chart as 'Electricity Demands'.

       kwData = list()

       kwData = ([0, 11000],[1, 13000],[2, 16000],[3, 17000],[4, 23000],[5, 24000],

              [6, 27000],[7, 28000],[8, 30000],[9, 29000],[10, 25000],[11, 15000] )

       chart.addSeriesData('Electricity 1', kwData)  #Set data to the data chart as a line graph, and set its name as 'Electricity 1'.

       chart.setLineStyle('Electricity 1', DataSeriseChartItem.DotLine)  #Set the line style of 'Electricity 1' as a dot line.

  setLineWidth( name:Graph name, width:Line width )

  setLineWidth sets the line width of the line graph to DataChart.

        ㆍ name: Enter the name of line graphs.

        ㆍ width: Set the line width of the line graph. Line width is an Integer number bigger than 0.

  Example)

       chart = canvas.getObject('DataChart_0')  #Obtain the DataChart widget.

       kwData = list()

       kwData = ([0, 11000],[1, 13000],[2, 16000],[3, 17000],[4, 23000],[5, 24000],

              [6, 27000],[7, 28000],[8, 30000],[9, 29000],[10, 25000],[11, 15000] )

       chart.addSeriesData('Electricity 1', kwData)  #Display data on the DataChart as a line graph and set its name as 'Electricity 1'.

       chart.setLineStyle('Electricity 1', DataSeriseChartItem.DotLine)  #Set the line style of 'Electricity 1' as a dot line.

       chart.setLineWidth('Electricity 1', 5)  #Set the line width of 'Electricity 1' as 5.

  setLineColor( name:Graph name, color:QColor object )

  setLineColor sets the line color of the line graph to DataChart.

        ㆍ name: Enter the name of line graphs.

        ㆍ color: Set the line color of the line graph. Line color is set by using the QColor object.

        QColor object has to be set RGB color values and transparency values. Each value is an Integer number 0 to 255.

        QColor object is used as follows.

        ㆍ Function

        QColor(red,green,blue,transparency)

        ㆍ Use example

                - Red: QColor(255,0,0,255)

                - Green: QColor(0,255,0,128)

                - Blue: QColor(0,0,255,255)

  Example)

       chart = canvas.getObject('DataChart_0')  #Obtain the DataChart widget.

       chart.setTitle('Electricity Demands')  #Set the name of DataChart as 'Electricity Demands'.

       kwData = list()

       kwData = ([0, 11000],[1, 13000],[2, 16000],[3, 17000],[4, 23000],[5, 24000],

              [6, 27000],[7, 28000],[8, 30000],[9, 29000],[10, 25000],[11, 15000] )

       chart.addSeriesData('Electricity 1', kwData)  #Display data on the DataChart as a line graph, and set its name as 'Electricity 1'.

       chart.setLineWidth('Electricity 1', 5)  #Set the line width of 'Electricity 1' as 5.

       chart.setLineStyle('Electricity 1', DataSeriseChartItem.DotLine)  #'Set the line style of 'Electricity 1' as a dot line.

       chart.setLineColor('Electricity 1', QColor(255,0,0,255))  #Set the line color of 'Electricity 1' as QColor(255,0,0,255).

  addBarData( name:Graph name, value:Data )

  addBarData adds the data of bar graph to DataChart.

        ㆍ name: Enter the name of the bar graph.

        ㆍ value: Enter the data of the bar graph. Value is set in order of the X-axis.

  ※ Notice

        ㆍ The data list is set in order of the X-axis index and displayed.

        ㆍ When writing the data list, the index of the first data is 0, and the next index increments by 1.

  Example)

       chart = canvas.getObject('DataChart_0')  #Obtain the DataChart widget.

       chart.setTitle('Electricity Demands')  #Set the name as 'Electricity Demands'.

       kwData = list()

       kwData = (11000, 13000, 16000, 17000, 23000, 24000,

              27000, 28000, 30000, 29000, 25000, 15000)

       chart.addBarData('Electricity 2', kwData)  #Display data on the DataChart as a bar graph, and set its name as 'Electricity 2'.

  Example)

       chart = canvas.getObject('DataChart_0')  #Obtain the DataChart widget.

       chart.setTitle('Electricity Demands')  #Set the name as 'Electricity Demands'.

       kwData = list()

       kwData = (-11000, -13000, -16000, -17000, -23000, -24000,

              -27000, -28000, -30000, -29000, -25000, -15000)

       chart.addBarData('Electricity 2', kwData)  #Display data on the DataChart as a bar graph, and set its name as 'Electricity 2'.

  setBarChartStyle( style:Bar graph style )

  setBarChartStyle sets the bar graph style to DataChart.

        ㆍ style: Set the style of bar graphs.

        ㆍ Style type

                - DataSeriseChartItem.Group : Group

                - DataSeriseChartItem.Stacked : Stacked

  Example) Set to Group style

       chart = canvas.getObject('DataChart_0')  #Obtain the DataChart widget.

       chart.setTitle('Electricity Demands')  #Set the name as 'Electricity Demands'.

       kwData = list()

       kwData = (11000, 13000, 16000, 17000, 23000, 24000,

              27000, 28000, 30000, 29000, 25000, 15000)

       chart.addBarData('Electricity 2', kwData)  #Display data on the DataChart as a bar graph, and set its name as 'Electricity 2'.

       chart.addBarData('Electricity 3', kwData)  #Display data on the DataChart as a bar graph, and set its name as 'Electricity 3'.

       chart.setBarChartStyle(DataSeriseChartItem.Group)  #Set the style of the bar graph as Group.

  Example) Set to Stacked style

       chart = canvas.getObject('DataChart_0')  #Obtain the DataChart widget.

       chart.setTitle('Electricity Demands')  #Set the name as 'Electricity Demands'.

       kwData = list()

       kwData  = (11000, 13000, 16000, 17000, 23000, 24000,

              27000, 28000, 30000, 29000, 25000, 15000)

       chart.addBarData('Electricity 2', kwData)  #Display data on the DataChart as a bar graph, and set its name as 'Electricity 2'.

       chart.addBarData('Electricity 3', kwData)  #Display data on the DataChart as a bar graph, and set its name as 'Electricity 3'.

       chart.setBarChartStyle(DataSeriseChartItem.Stacked)  #Set the style of the bar graph as Stacked.

  Example) Set to Stacked style

       chart = canvas.getObject('DataChart_0')  #Obtain the DataChart widget.

       chart.setTitle('Electricity Demands')  #.Set the name as 'Electricity Demands'.

       kwData = list()

       kwData = (11000, 13000, 16000, 17000, 23000, 24000,

              27000, 28000, 30000, 29000, 25000, 15000)

       kwData2 = list()

       kwData2 = (-11000, -13000, -16000, -17000, -23000, -24000,

              -27000, -28000, -30000, -29000, -25000, -15000)

       chart.addBarData('Electricity 2', kwData)  #Display data on the DataChart as a bar graph, and set its name as 'Electricity 2'.

       chart.addBarData('Electricity 3', kwData2)  #Display data on the DataChart as a bar graph, and set its name as 'Electricity 3'.

       chart.setBarChartStyle(DataSeriseChartItem.Stacked)  #Set the style of the bar graph as Stacked.

       names = list()

       names = ('January, Feburary, March, April, May, June, July, August, September, October, November, December')

       chart.setCategories(names)  #Set the X-axis name of the DataChart as names.se

  setBarSpacing( width:Graph space )

  setBarSpacing sets the bar graph space to DataChart.

        ㆍ  name: Enter the name of the bar graph.

        ㆍ  width: Set the space between bar graphs. Value is an Integer number.

  Example) Set to Stacked style

       chart = canvas.getObject('DataChart_0')  #Obtain the DataChart widget.

       chart.setTitle('Electricity Demands')  #Set the name as 'Electricity Demands'.

       kwData = list()

       kwData = (11000, 13000, 16000, 17000, 23000, 24000,

              27000, 28000, 30000, 29000, 25000, 15000)

       chart.addBarData('Electricity 2', kwData)  #Display data on the DataChart as a bar graph, and set its name as 'Electricity 2'.

       chart.addBarData('Electricity 3', kwData)  #Display data on the DataChart as a bar graph, and set its name as 'Electricity 3'.

       chart.setBarChartStyle(DataSeriseChartItem.Stacked)  #Set the style of the bar graph as Stacked.

       chart.setBarSpacing(20)  #Set the space of the bar graph as 20.

  setBarColor( name:Graph name, color:QColor object )

  setBarColor sets the color of the bar graph to DataChart.

        ㆍ name: Enter the name of the bar graph.

        ㆍ color: Set the color of the bar graph. Color is set by using the QColor object.

        QColor object has to be set RGB color values and transparency values. Each value is an Integer number 0 to 255.

        QColor object is used as follows.

        ㆍ Function

        QColor(red,green,blue,transparency)

        ㆍ Use example

                - Red: QColor(255,0,0,255)

                - Green: QColor(0,255,0,128)

                - Blue: QColor(0,0,255,255)

  Example)

       chart = canvas.getObject('DataChart_0')  #Obtain the DataChart widget.

       chart.setTitle('Electricity Demands')  #Set the name as 'Electricity Demands'.

       kwData = list()

       kwData = (11000, 13000, 16000, 17000, 23000, 24000,

              27000, 28000, 30000, 29000, 25000, 15000)

       chart.addBarData('Electricity 2', kwData)   #Display data on the DataChart as a bar graph, and set its name as 'Electricity 2'.

       chart.addBarData('Electricity 3', kwData)   #Display data on the DataChart as a bar graph, and set its name as 'Electricity 3'.

       chart.setBarChartStyle(DataSeriseChartItem.Stacked)  #Set the style of the bar graph as Stacked.

       chart.setBarSpacing(20)  #Set the space of the bar graph as 20.

       chart.setBarColor('Electricity 2', QColor(0,0,255,128))  #Set the color of the bar graph as QColor(0,0,255,128).

       chart.setBarColor('Electricity 3', QColor(0,255,0,128))  #Set the color of the bar graph as QColor(0,255,0,128).

  addIntervalCurve( name:Graph name, value:Data )

  addIntervalCurve adds the data of the interval curve graph to DataChart.

        ㆍ name : Enter the name of the interval curve graph.

        ㆍ value : Enter the data of the interval curve graph. Set the list of data which is [min, max].

  ※ Notice

        ㆍ The data list is set in order of the X-axis index and displayed.

        ㆍ When writing data list, the index of the first data is 0, and the next index increments by 1.

  Example)

       chart = canvas.getObject('DataChart_1')

       chart.clear()

       hour = 0

       names=list();

       for h in range(0,24):

              for m in range(0,12):

                     names.append('%02d:%02d' %(h,m*5));

                     hour=hour+1

       chart.setCategories(names)

       chart.setXRange(0,12*24,12)

       d1 = list()

       d2 = list()

       d3 = list()

       value =0;

       for v in range(0,24):

              for m in  range(0,12):

                     d1.append(value)

                     value=value+1

       value = 0;

       for v in range(0,14):

              for m in  range(0,12):

                     d2.append(value)

                     value=value+0.5

       value = 0;

       for v in range(0,24):

              for m in range(0,12):

                     #min,max

                     minmax=[value-10,value+10]

                     d3.append(minmax)

                     value=value+1

       chart.addIntervalCurve('Intval',d3)

       chart.addCurveData('C1',d1)

  setCategories( names:The list of labels )

  setCategories sets the X-axis label to DataChart.

        ㆍ names: Set the list of labels to display on the X-axis.

  Example)

       chart = canvas.getObject('DataChart_0')  #Obtain the DataChart widget.

       kwData = list()

       kwData = (22000, 26000, 32000, 34000, 46000, 48000,

              54000, 56000, 60000, 58000, 50000, 35000)

       chart.addCurveData('Electricity 4', kwData)  #Display data on the DataChart as a curve graph, and set its name 'Electricity 4'.

       names = list()

       names = ('January, Feburary, March, April, May, June, July, August, September, October, November, December')

       chart.setCategories(names)  #Set the X-axis name of the DataChart as names.

  setXRange( min:Minimum value, max:Maximum value, step:Space value )

  setXRange sets the X-axis range and space to DataChart.

        ㆍ min: Enter the minimum value of the X-axis to DataChart.

        ㆍ max: Enter the maximum value of the X-axis to DataChart.

        ㆍ step: Enter the space value of the X-axis to DataChart. It means the displaying space of X-axis items.

        Step value setting Example)

                If X-axis items are January, February, March, April, May, June, July, August, September, October, November, December,

                If step is 2, January, March, May, July, September, November are displayed on the X-axis.

                If step is 3, January, April, July, October are displayed on the X-axis.

  Example)

       chart = canvas.getObject('DataChart_0')  #Obtain the DataChart widget.

       chart.setTitle('Electricity Demands')  #Set the name as 'Electricity  Demands'.

       kwData = list()

       kwData = (11000, 13000, 16000, 17000, 23000, 24000,

              27000, 28000, 30000, 29000, 25000, 15000)

       chart.addBarData('Electricity 2', kwData)  #Display data on the DataChart as a bar graph, and set its name as 'Electricity 2'.

       chart.addBarData('Electricity 3', kwData)  #Display data on the DataChart as a bar graph, and set its name as 'Electricity 3'.

       chart.setBarChartStyle(DataSeriseChartItem.Stacked)  #Set the style of the bar graph as Stacked.

       chart.setBarSpacing(20)  #Set the space of the bar graph as 20.

       names = list()

       names = ('January, Feburary, March, April, May, June, July, August, September, October, November, December')

       chart.setCategories(names)  #Set the X-axis name of the DataChart as names.

       chart.setXRange(0, 6, 1)  #Display the 0th item to 6th item on the X-axis of the DataChart, and set the space as 1.

  setYRange( min:Minimum value, max:Maximum value, step:Space value )

  setYRange sets the range and space of the Y-axis to DataChart.

        ㆍ min: Enter the minimum value of the Y-axis to DataChart.

        ㆍ max: Enter the maximum value of the Y-axis to DataChart.

        ㆍ step: Enter the space value of the Y-axis to DataChart. It is the displaying space of Y-axis items.

        step value setting Example)

                If the Y-axis items are 100, 200, 300, 400, 500, 600, 700, 800, 900, 1000, 1100,

                If step is 200, 100, 300, 500, 700, 900, 1100 are displayed on the Y-axis.

                If step is 300, 100, 400, 700, 1100 are displayed on the Y-axis.

  Example)

       chart = canvas.getObject('DataChart_0')  #Obtain the DataChart widget.

       chart.setTitle('Electricity Demands')  #Obtain the name as 'Electricity Demands'.

       kwData = list()

       kwData = (11000, 13000, 16000, 17000, 23000, 24000,

              27000, 28000, 30000, 29000, 25000, 15000)

       chart.addBarData('Electricity 2', kwData)  #Display data on the DataChart as a bar graph, and set its name as 'Electricity 2'.

       chart.addBarData('Electricity 3', kwData)  #Display data on the DataChart as a bar graph, and set its name as 'Electricity 3'.

       chart.setBarChartStyle(DataSeriseChartItem.Stacked)  #Set the style of the bar graph as Stacked.

       chart.setBarSpacing(20)  #Set the space of the bar graph as 20.

       names = list()

       names = ('January, Feburary, March, April, May, June, July, August, September, October, November, December')

       chart.setCategories(names)  #Set the X-axis name of the DataChart as names.

       chart.setYRange(0, 35000, 10000)  #Set the min, max of the Y-axis as 0, 350000. Set the space as 10000.

  moveToY2Scale( name:Graph name )

  moveToY2Scale enters the name of the graph which is using the right Y-axis.

        ㆍ name: Enter the name of the graph using the right Y-axis. It follows the right Y-axis.

  Example)

       chart = canvas.getObject('DataChart_0')  #Obtain the DataChart widget.

       chart.setTitle('Electricity Demands')  #Set the name as 'Electricity  Demands'.

       names = list()

       names = ('January, Feburary, March, April, May, June, July, August, September, October, November, December')

       chart.setCategories(names)  #Set the X-axis name as names.

       kwData = list()

       kwData = ([0, 11000],[1, 13000],[2, 16000],[3, 17000],[4, 23000],[5, 24000], [6, 27000],

              [7, 28000],[8, 30000],[9, 29000],[10, 25000],[11, 15000])

       chart.addSeriesData('Electricity 1', kwData)  #Display data on the DataChart as a line graph, and set its name as 'Electricity 1'.

       kwData1 = (1000, 3000, 6000, 5000, 7000, 8000, 7000, 8000, 9000, 8000, 5000, 3000)

       chart.addBarData('Electricity 2', kwData1)  #Display data on the DataChart as a bar graph, and set its name as 'Electricity 2'.

       chart.moveToY2Scale('Electricity 1')  #'Electricity 1' follows the right Y-axis.

        ㆍ 'Electricity 1' follows the right Y-axis.

        ㆍ 'Electricity 2' follows the left Y-axis.

  setY2Range( min:Minimum value, max:Maximum value, step: Space value )

  setY2Range sets the range and space of the right Y-axis value to DataChart.

        ㆍ min: Enter the minimum value of the right Y-axis range to DataChart.

        ㆍ max: Enter the maximum value of the right Y-axis range to DataChart.

        ㆍ step: Enter the increment of sub-Y-axis.

  ※ moveToY2Scale must be applied.

  Example)

       chart = canvas.getObject('DataChart_0')  #Obtain the DataChart widget.

       chart.setY2Range(0, 50000, 5000)  #Set the min, max of the right Y-axis as 0, 50000, and set the space as 5000.

  setBottomLabelRotate( angle:Rotation angle )

  setBottomLabelRotate sets the X-axis label of DataChart to rotate to a given angle.

        ㆍ angle: Enter an angle to rotate the label of the X-axis.

        ㆍ The angle could be 0~360 degrees, or -1~-360 degrees.

  Example)

       chart = canvas.getObject('DataChart_0')  #Obtain the DataChart widget.

       chart.setTitle('Electricity Demands')  #Set the name as 'Electricity Demands'

       kwData = list()

       kwData = (11000, 13000, 16000, 17000, 23000, 24000,

              27000, 28000, 30000, 29000, 25000, 15000)

       chart.addBarData('Electricity 2', kwData)  #Display data on the DataChart as a bar graph, and set its name as 'Electricity 2'.

       chart.addBarData('Electricity 3', kwData)  #Display data on the DataChart as a bar graph, and set its name as 'Electricity 2'.

       chart.setBarChartStyle(DataSeriseChartItem.Stacked)  #Set the style of the bar graph as Stacked.

       chart.setBarSpacing(20)  #Set the space of the bar graph as 20.

       names = list()

       names = ('January, Feburary, March, April, May, June, July, August, September, October, November, December')

       chart.setCategories(names)  #Set the X-axis label as names.

       chart.setBottomLabelRotate(-30)  #Display the X-axis label rotating to -30.

  setLeftLabelRotate( angle:Rotation angle )

  setLeftLabelRotate sets the Y-axis label of DataChart to rotate to a given angle.

        ㆍ angle: Enter an angle to rotate the label of the Y-axis.

        ㆍ The angle could be 0~360 degrees or -0~-360 degrees.

  Example)

       chart = canvas.getObject('DataChart_0')  #Obtain the DataChart widget.

       chart.setTitle('Electricity Demands')  #Set the name as 'Electricity Demands'.

       kwData = list()

       kwData = (11000, 13000, 16000, 17000, 23000, 24000,

              27000, 28000, 30000, 29000, 25000, 15000)

       chart.addBarData('Electricity 2', kwData)  #Display data on the DataChart as a bar graph, and set its name as 'Electricity 2'.

       chart.addBarData('Electricity 3', kwData)  #Display data on the DataChart as a bar graph, and set its name as 'Electricity 3'.

       chart.setBarChartStyle(DataSeriseChartItem.Stacked)  #Set the style of the bar graph as Stacked.

       chart.setBarSpacing(20)  #Set the space of the bar graph as 20.

       names = list()

       names = ('January, Feburary, March, April, May, June, July, August, September, October, November, December')

       chart.setCategories(names)  #Set the Y-axis label as names.

       chart.setLeftLabelRotate (-30)  #Display the Y-axis label rotating to -30.

  setRightLabelRotate( angle:Rotation angle )

  setRightLabelRotate sets the sub-Y-axis label of the DataChart to rotate to a given angle.

        ㆍ angle: Enter an angle to rotate the label of the Y-axis.

        ㆍ The angle could be 0~360 degrees, or -0~-360 degrees,

  Example)

       chart = canvas.getObject('DataChart_0')  #Obtain the DataChart widget.

       chart.setTitle('Electricity Demands')  #Set the name as 'Electricity Demands'.

       names = list()

       names = ('January, Feburary, March, April, May, June, July, August, September, October, November, December')

       chart.setCategories(names)  #Set the X-axis label as names.

       kwData = list()

       kwData = ([0, 11000],[1, 13000],[2, 16000],[3, 17000],[4, 23000],[5, 24000], [6, 27000],

              [7, 28000],[8, 30000],[9, 29000],[10, 25000],[11, 15000])

       chart.addSeriesData('Electricity 1', kwData)  #Display data on the DataChart as a line graph, and set its name as 'Electricity 1'

       kwData1  = (1000, 3000, 6000, 5000, 7000, 8000, 7000, 8000, 9000, 8000, 5000, 3000)

       chart.addBarData('Electricity 2', kwData1)  #Display data on the DataChart as a bar graph, and set its name as 'Electricity 2'

       chart.moveToY2Scale('Electricity 1')  #'Electricity 1' follows the right Y-axis.

       chart.setRightLabelRotate (30)  #Display the sub-Y-axis label rotating to -30.

  setLegendTextColor( name:Graph name, color:QColor object )

  setLegendTextColor sets the text color of legends in DataChart.

        ㆍ name: Enter the name of the graph to change

        ㆍ color: Set the color of legends. It uses the QColor object.

        QColor object has to be set RGB color values and transparency values.

        QColor object is used as follows.

        ㆍ Function

        QColor(red,green,blue,transparency)

        ㆍ Use example

                - Red: QColor(255,0,0,255)

                - Green: QColor(0,255,0,128)

                - Blue: QColor(0,0,255,255)

  Example)

       chart = canvas.getObject('DataChart_0')  #Obtain the DataChart widget.

       chart.setTitle('Electricity Demands')  #Set the name as 'Electricity Demands'.

       kwData = list()

       kwData = (11000, 13000, 16000, 17000, 23000, 24000,

              27000, 28000, 30000, 29000, 25000, 15000)

       chart.addBarData('Electricity 2', kwData)  #Display data on the DataChart as a bar graph, and set its name as 'Electricity 2'.

       chart.addBarData('Electricity 3', kwData)  #Display data on the DataChart as a bar graph, and set its name as 'Electricity 3'.

       chart.setBarChartStyle(DataSeriseChartItem.Stacked)  #Set the style of the bar graph as Stacked.

       chart.setBarSpacing(20)  #Set the space of the bar graph as 20.

       names = list()

       names = ('January, Feburary, March, April, May, June, July, August, September, October, November, December')

       chart.setCategories(names)  #Set the X-axis label as names.

       chart.setLegendTextColor('Electricity 2', QColor(255,0,0,255))  #'Set the color of the legend as QColor(255,0,0,255).

  showLegend( show:1 or 0 )

  showLegend reveals or hides the legend of DataChart.

        ㆍ show: To reveal the legend, enter 1. To hide the legend, enter 0.

  Example) To hide the legend

       chart = canvas.getObject('DataChart_0')  #Obtain the DataChart widget.

       chart.setTitle('Electricity Demands')  #Set the name as 'Electricity Demands'.

       kwData = list()

       kwData = (11000, 13000, 16000, 17000, 23000, 24000,

              27000, 28000, 30000, 29000, 25000, 15000)

       chart.addBarData('Electricity 2', kwData)  #Display data on the DataChart as a bar graph, and set its name as 'Electricity 2'.

       chart.addBarData('Electricity 3', kwData)  #Display data on the DataChart as a bar graph, and set its name as 'Electricity 3'.

       chart.setBarChartStyle(DataSeriseChartItem.Stacked)  #Set the style of the bar graph as Stacked.

       chart.setBarSpacing(20)  #Set the space of the bar graph as 20.

       names = list()

       names = ('January, Feburary, March, April, May, June, July, August, September, October, November, December')

       chart.setCategories(names)  #Set the X-axis label as names.

       chart.showLegend(0)  #Hide the legend.

  Example) To reveal the legend

       chart = canvas.getObject('DataChart_0')  #Obtain the DataChart widget.

       chart.setTitle('Electricity Demands')  #Set the name as 'Electricity Demands'.

       kwData = list()

       kwData = (11000, 13000, 16000, 17000, 23000, 24000,

              27000, 28000, 30000, 29000, 25000, 15000)

       chart.addBarData('Electricity 2', kwData)  #Display data on the DataChart as a bar graph, and set its name as 'Electricity 2'.

       chart.addBarData('Electricity 3', kwData)  #Display data on the DataChart as a bar graph, and set its name as 'Electricity 3'.

       chart.setBarChartStyle(DataSeriseChartItem.Stacked)  #Set the style of the bar graph as Stacked.

       chart.setBarSpacing(20)  #Set the space of the bar graph as 20.

       names = list()

       names = ('January, Feburary, March, April, May, June, July, August, September, October, November, December')

       chart.setCategories(names)  #Set the X-axis label as names.

       chart.showLegend(0)  #Reveal the legend.

  setZone( name:Zone, start:The start value of zone, end:The end value of zone, dir:Direction of zone )

  setZone fills the color between the start value and the end value for the given direction on DataChart.

        ㆍ name: Enter the name of the zone.

        ㆍ start: Enter the start value of the zone.

        ㆍ end: Enter the end value of the zone.

        ㆍ dir: Enter the direction of the zone.

                - Directions are defined as Horizontal and Vertical on the DataSeriseChartItem object.

                        - DataSeriseChartItem.Horizontal : Draw a zone horizontally applying the value of Y-axis.

                        - DataSeriseChartItem.Vertical : Draw a zone vertically applying the value of X-axis.

                - The default is DataSeriseChartItem.Horizontal.

  Example) Horizontal

       chart = canvas.getObject('DataChart_0')  #Obtain the DataChart widget.

       chart.setTitle('Electricity Demands')  #Set the name as 'Electricity Demands'.

       kwData = list()

       kwData = (11000, 13000, 16000, 17000, 23000, 24000,

              27000, 28000, 30000, 29000, 25000, 15000)

       chart.addBarData('Electricity 2', kwData)  #Display data on the DataChart as a bar graph, and set its name as 'Electricity 2'.

       chart.addBarData('Electricity 3', kwData)  #Display data on the DataChart as a bar graph, and set its name as 'Electricity 3'.

       chart.setBarChartStyle(DataSeriseChartItem.Stacked)   #Set the style of the bar graph as Stacked.

       chart.setBarSpacing(20)  #Set the space of the bar graph as 20.

       names = list()

       names = ('January, Feburary, March, April, May, June, July, August, September, October, November, December')

       chart.setCategories(names)  #Set the X-axis label as names.

       chart.setZone('Danger', 50000, 63000, DataSeriseChartItem.Horizontal)  #Set the range of 50000 to 63000 of the Y-axis as a 'Danger' zone, and display with colors.

  Example) Vertical

       chart = canvas.getObject('DataChart_0')  #Obtain the DataChart widget.

       chart.setTitle('Electricity Demands')  #Set the name as 'Electricity Demands'.

       kwData = list()

       kwData = (11000, 13000, 16000, 17000, 23000, 24000,

              27000, 28000, 30000, 29000, 25000, 15000)

       chart.addBarData('Electricity 2', kwData)  #Display data on the DataChart as a bar graph, and set its name as 'Electricity 2'.

       chart.addBarData('Electricity 3', kwData)  #Display data on the DataChart as a bar graph, and set its name as 'Electricity 3'.

       chart.setBarChartStyle(DataSeriseChartItem.Stacked)   #Set the style of the bar graph as Stacked.

       chart.setBarSpacing(20)  #Set the space of the bar graph as 20.

       names = list()

       names = ('January, Feburary, March, April, May, June, July, August, September, October, November, December')

       chart.setCategories(names)  #Set the X-axis label as names.

       chart.setZone('Danger', 5, 8, DataSeriseChartItem.Vertical)  #Set the rane of 5 to 8 of the X-axis as a 'Danger' zone, and display with colors.

  setZoneStyle( name:Zone, zoneColor:The color of zone, lineColor:The line color of zone, lineWidth:The line width of zone, style:The line style of zone )

  setZoneStyle sets the color and shape of the zone created by setZone method.

        ㆍ name: Enter the name of the zone to apply the style.

        ㆍ zoneColor: Enter the color of the zone by using QColor objects.

        ㆍ lineColor: Enter the line color of the zone by using QColor objects.

        ㆍ lineWidth: Enter the line width of the zone.

        ㆍ style: Enter the style of markers

                - SolidLine : Draw a solid line.

                - DashLine : Draw a dash line.

                - DotLine : Draw a dot line.

                - DashDotLine : Draw a dash dot line.

                - DashDotDotLine : Draw a dash dot dot line.

        QColor object has to be set RGB color values and transparency values.  Each value has to be set between 0 to 225.

        QColor objects are used as follows.

        ㆍ Function

        QColor(red,green,blue,transparency)

        ㆍ Use example

                - Red: QColor(255,0,0,255)

                - Green: QColor(0,255,0,128)

                - Blue: QColor(0,0,255,255)

  Example)

       chart = canvas.getObject('DataChart_0')  #Obtain the DataChart widget.

       chart.setTitle('Electricity Demands')  #Set the name as 'Electricity Demands'.

       kwData = list()

       kwData = (11000, 13000, 16000, 17000, 23000, 24000,

              27000, 28000, 30000, 29000, 25000, 15000)

       chart.addBarData('Electricity 2', kwData)  #Display data on the DataChart as a bar graph, and set its name as 'Electricity 2'.

       chart.addBarData('Electricity 3', kwData)  #Display data on the DataChart as a bar graph, and set its name as 'Electricity 3'.

       chart.setBarChartStyle(DataSeriseChartItem.Stacked)  #Set the style of the bar graph as Stacked.

       chart.setBarSpacing(20)  #Set the space of the bar graph as 20.

       names = list()

       names = ('January, Feburary, March, April, May, June, July, August, September, October, November, December')

       chart.setCategories(names)  #Set the X-axis label as names.

       chart.setZone('Danger', 50000, 63000)  #Set the range of 50000 to 63000 of the Y-axis as a 'Danger' zone, and display with colors.

       chart.setZoneStyle('Danger', QColor(255,0,0,192), QColor(255,0,0,255), 1, DataSeriseChartItem.DotLine)  #Set the color and line color of the zone as QColor(255,0,0,192) , QColor(255,0,0,255).

  setZoomMode( mode: Horizontal or Vertical )

  setZoomMode sets a zoom to DataChart as Horizontal and Vertical.

        ㆍ Horizontal is applied to the X-axis, Vertical is applied to the Y-axis.

        ㆍ mode: Enter Horizontal or Vertical.

  Example) Apply the Horizontal zoom mode

       chart = canvas.getObject('DataChart_0')  #Obtain the DataChart widget.

       chart.setZoomMode(DataSeriseChartItem.Horizontal)  #Set the zoom as a horizontal mode.

  Example) Apply the Vertical zoom mode

       chart = canvas.getObject('DataChart_0')  #Obtain the DataChart widget,

       chart.setZoomMode(DataSeriseChartItem.Vertical)  #Set the zoom as a vertical mode.

  setMarker( name:String, value:The value of line, dir:The direction of line )

  setMarker is used to represent details on the chart by printing lines and String.

        ㆍ name: Enter the String to display on the chart.

        ㆍ value: Enter the value of the line.

        ㆍ dir: Enter the direction of the line.

                - Directions are defined as Horizontal and Vertical on the DataSeriseChartItem object.

                        - DataSeriseChartItem.Horizontal : Draw the line horizontally applying the value of the Y-axis.

                        - DataSeriseChartItem.Vertical : Draw the line vertically applying the value of the X-axis.

                - The default is DataSeriseChartItem.Horizontal.

  Example)

       chart = canvas.getObject('DataChart_0')  #Obtain the DataChart widget.

       chart.setTitle('Electricity Demands')  #Set the name as 'Electricity Demands'.

       kwData = list()

       kwData = (11000, 13000, 16000, 17000, 23000, 24000,

              27000, 28000, 30000, 29000, 25000, 15000)

       chart.addBarData('Electricity 2', kwData)  #Display data on the DataChart as a bar graph, and set its name as 'Electricity 2'.

       chart.addBarData('Electricity 3', kwData)  #Display data on the DataChart as a bar graph, and set its name as 'Electricity 3'.

       chart.setBarChartStyle(DataSeriseChartItem.Stacked)  #Set the style of the bar graph as Stacked.

       chart.setBarSpacing(20)  #Set the space of the bar graph as 20.

       names = list()

       names = ('January, Feburary, March, April, May, June, July, August, September, October, November, December')

       chart.setCategories(names)  #Set the X-axis label as names.

       chart.setZone('Danger', 50000, 63000)  #Set the range of 50000 to 63000 of the Y-axis as a 'Danger' zone and display with colors.

       chart.setZoneStyle('Danger', QColor(255,0,0,192), QColor(255,0,0,255), 1, DataSeriseChartItem.DotLine)  #Set the color and line color of the zone as QColor(255,0,0,192) , QColor(255,0,0,255).

       chart.setMarker('Danger', 53000)  #Display 'Danger' text on the 53000 point, and draw a line horizontally.

       chart.setMarker('Good', 33000)  #Display 'Good' text on the 33000 point, and draw a line horizontally.

  setMarker( name:Graph name, index:The index of X-axis, makerColor:Marker color, labelColor:String color, textSize:Text size , pointSize:Point size )

  setMarker is used to represent the marker and value on the Y-axis value corresponding to the given index of DataChart.

        ㆍ name: Enter the name of the graph.

        ㆍ index: Enter the index of the X-axis.

        ㆍ makerColor: Enter the color of the marker displayed on the graph.

        ㆍ labelColor: Enter the color of String displayed on the graph.

        ㆍ textSize: Enter the size of String displayed on the graph.

        ㆍ pointSize: Enter the size of points displayed on the graph.

  Example)

       chart = canvas.getObject('DataChart_0')  #Obtain the DataChart widget.

       kwData = list()

       kwData = (22000, 26000, 32000, 34000, 46000, 48000,

              54000, 56000, 60000, 58000, 50000, 35000)

       chart.addCurveData('Electricity 1', kwData)  #Display data on the DataChart as a curve graph, and set its name as 'Electricity 1'.

       chart.setLineColor('Electricity 1', QColor(153,202,83,255))  #Set the line color of 'Electricity 1' as QColor(153,202,83,255).

       chart.setMarker('Electricity 1', 1, QColor(32,159,223,255), QColor(32,159,223,255), 11, 5)

       chart.setMarker('Electricity 1', 6, QColor(255,83,0,255), QColor(255,83,0,255), 11, 5)

  setMarkerStyle( name:Marker name, fontSize:Marker name size, textColor:Marker name color, lineColor:Marker line color, lineWidht:Marker line width, style:Marker line style )

  setMarkerStyle sets the text size, text color, line width or line color of markers.

        ㆍ name: Enter the marker name displayed on the chart.

        ㆍ fontSize: Enter the size of the marker name displayed on the chart.

        ㆍ textColor: Enter the marker name color displayed on the chart. Using QColor.

        ㆍ lineColor: Enter the marker line color displayed on the chart. Using QColor.

        ㆍ lineWidht: Enter the marker line width displayed on the chart. Using QColor.

        ㆍ style: Enter the marker line style displayed on the chart. Style have SolidLine, DashLine, DotLine, DashDotLine, DashDotDotLine.

                - SolidLine : Draw a solid line.

                - DashLine : Draw a dash line.

                - DotLine : Draw a dot line.

                - DashDotLine : Draw a dash dot line.

                - DashDotDotLine : Draw a dash dot dot line.

        QColor object has to be set RGB color values and transparency values. Each value is an Integer value between 0 to 255.

        QColor object is used as follows.

        ㆍ Function

        QColor(red,green,blue,transparency)

        ㆍ Use example

                - Red: QColor(255,0,0,255)

                - Green: QColor(0,255,0,128)

                - Blue: QColor(0,0,255,255)

  Example)

       chart = canvas.getObject('DataChart_0')  #Obtain the DataChart widget.

       chart.setTitle('Electricity Demands')  #Set the name as 'Electricity Demands'.

       kwData = list()

       kwData = (11000, 13000, 16000, 17000, 23000, 24000,

              27000, 28000, 30000, 29000, 25000, 15000)

       chart.addBarData('Electricity 2', kwData)  #Display data on the DataChart as a bar graph, and set its name as 'Electricity 2'.

       chart.addBarData('Electricity 3', kwData)  #Display data on the DataChart as a bar graph, and set its name as 'Electricity 3'.

       chart.setBarChartStyle(DataSeriseChartItem.Stacked)  #Set the style of the bar graph as Stacked.

       chart.setBarSpacing(20)  #Set the space of the bar graph as 20.

       names = list()

       names = ('January, Feburary, March, April, May, June, July, August, September, October, November, December')

       chart.setCategories(names)  #Set the X-axis label as names.

       chart.setZone('Danger', 50000, 63000)  #Set the range of 50000 to 63000 of the Y-axis as a 'Danger' zone and display with colors.

       chart.setZoneStyle('Danger', QColor(255,0,0,192), QColor(255,0,0,255), 1, DataSeriseChartItem.DotLine)  #Set the color and line color of the zone as QColor(255,0,0,192) , QColor(255,0,0,255).

       chart.setMarker('Danger', 53000)  #Display 'Danger' text on the 53000 point, and draw a line horizontally.

       chart.setMarker('Danger', 33000)  #Display 'Good' text on the 33000 point, and draw a line horizontally.

       chart.setMarkerStyle('Danger', 10, QColor(255,255,0,255), QColor(255,255,0,255), 3, DataSeriseChartItem.DotLine)

       chart.setMarkerStyle('Good', 10, QColor(0,255,0,255), QColor(0,255,0,255), 3, DataSeriseChartItem.DotLine)

                                         =

  clear()

  clear removes the data on DataChart.

  Example)

       chart = canvas.getObject('DataChart_0')  #Obtain the DataChart widget.

       chart.clear()  #Remove the data on the DataChart.

  setDataVisible( index, visible )

  Reveal or hide the graph data.

  Example)

       chart = canvas.getObject('DataChart_0')  #Obtain the DataChart widget.

       chart.setDataVisible(0, 1)  #Reveal the 0th data.

       chart.setDataVisible(0, 0)  #Hide the 0th data.

  setLineFillColor( name:Data name, color:Color )

  It is used to fill the color on the line graph.

  Example)

       chart = canvas.getObject('DataChart_0')  #Obtain the DataChart widget.

       chart.setLineFillColor('C2', QColor(246,166,37,127))  #Set the fill color as QColor(246,166,37,127).

  Result)

  setBaseLine( yValue:Fill base value )

  Set the fill baseline when filling the color on the line graph. The default value is 0.

  Example)

       chart = canvas.getObject('DataChart_0')  #Obtain the DataChart widget.

       chart.setLineFillColor('C2', QColor(246,166,37,127))  #Set the fill color as QColor(246,166,37,127).

       chart.setBaseLine(-50)  #Set the baseline as -50.

  Result)

  setDisplayTextColor( name:Data name, color: Text color )

   It is used to change the text color of the graph as below.

  Example)

       chart = canvas.getObject('DataChart_0')  #Obtain the DataChart widget.

       chart.setDisplayTextColor('C1', QColor(255,0,0))  #Set the text color as QColor(255,0,0).

  connect( eventName:Event handler name, func:Receiving function )

   Register an event handler.

        ㆍ It is able to do the below tasks through an event handler.

                1) When clicking the graph, receive the clicked location(x,y).

                2) When clicking the graph, receive the nearest x value from the clicked location.

  Example) When clicking the graph, receive the clicked location(x,y).

       def graphClicked(x,y):  # Define the receiving function.

              print x,y

       chart = canvas.getObject('DataChart_0')  #Obtain the DataChart widget.

       chart.connect('graphClicked(double,double)', graphClicked)  #Register an event handler.

  Example) When clicking the graph, receive the nearest x value from the clicked location.

       def graphClicked2(x):  #Define the receiving function.

              print x,y

       chart = canvas.getObject('DataChart_0')  #Obtain the DataChart widget.

       chart.connect('xIndexChanged(double)', graphClicked2)  #Register an event handler.

  list[float] getGraphData( name:Data name )

  Read the data printed on the graph.

  Example)

       chart = canvas.getObject('DataChart_0')  #Obtain the DataChart widget.

       print chart.getGraphData('A')  #Obtain the 'A' data as a list.

  Output)

      (6.099999999976717, 5.400000000023283, 6.199999999982538, 6.0, 5.899999999994179, 5.7000000000116415, 5.999999999970896, 5.800000000017462, 5.899999999994179, 9.500000000029104, 9.799999999988358, 9.899999999965075, 10.800000000046566,                 10.39999999999418, 10.699999999982538, 10.300000000046566, 9.699999999982538, 9.799999999988358, 6.0, 6.0, 5.999999999970896, 6.100000000005821, 5.600000000034925, 6.099999999976717 )

  setEnableDisplayValue( enabled )

  Set whether the data displays on the bar graph.

  ㆍ enabled: Enter 0 or 1.

          - When entering 1, the data value is displayed on the bar graph.

          - When entering 0, the data value is not displayed on the bar graph.

Example)

       chart = canvas.getObject('DataChart_0')  #Obtain the DataChart widget.

       chart.setTitle('Electricity Demands')  #Set the name as 'Electricity Demands'.

       kwData = list()

       kwData = (10000, 12000, 15000, 16000, 20000, 21000,

              23000, 25000, 27000, 26000, 22000, 13000)

       chart.addBarData('Electricity 1', kwData)  #Display data on the DataChart as a bar graph, and set its name as 'Electricity 1'.

       chart.setEnableDisplayValue(1)  #Set the data displaying on the bar graph.

  Example)

       chart = canvas.getObject('DataChart_0')  #Obtain the DataChart widget.

       chart.setTitle('Electricity Demands')  #Set the name as 'Electricity Demands'.

       kwData = list()

       kwData = (10000, 12000, 15000, 16000, 20000, 21000,

              23000, 25000, 27000, 26000, 22000, 13000)

       chart.addBarData('Electricity 1', kwData)  #Display data on the DataChart as a bar graph, and set its name as 'Electricity 1'.

       chart.setEnableDisplayValue(0)  #Set the data invisible.

  setDisplayValueStyle( textSize, color )

  Set the text size and color of data values displayed on the bar graph.

  ㆍ textSize: Enter the text size.

  ㆍ color: Enter the text color using the QColor object.

  QColor object has to be set RGB color values and transparency values. Each value is an Integer value between 0 to 255.

  QColor object is used as follows.

  ㆍ Function

          QColor(red,green,blue,transparency)

  ㆍ Use example

          - Red: QColor(255,0,0,255)

          - Green: QColor(0,255,0,128)

          - Blue: QColor(0,0,255,255)

  Example)

       chart = canvas.getObject('DataChart_0')  #Obtain the DataChart widget.

       chart.setTitle('Electricity Demands')  #Set the name as 'Electricity Demands'.

       kwData = list()

       kwData = (10000, 12000, 15000, 16000, 20000, 21000,

              23000, 25000, 27000, 26000, 22000, 13000)

       chart.addBarData('Electricity 1', kwData)  #Display data on the DataChart as a bar graph, and set its name as 'Electricity 1'.

       chart.setEnableDisplayValue(1)  #Set the data displaying on the bar graph.

       chart.setDisplayValueStyle(7,QColor(255,0,0,255))   #Set the color as red, and the text size as 7.

  fitDataScale()

  Auto-scale the scale of Y-axis based on the data displayed on the graph.

  Example) Apply fitDataScale

       chart = canvas.getObject('DataChart_0')  #Obtain the DataChart widget.

       chart.setTitle('Electricity Demands')  #Set the name as ' Electricity Demands'.

       kwData = list()

       kwData = (10000, 12000, 15000, 16000, 20000, 21000,

              23000, 25000, 27000, 26000, 22000, 13000)

       chart.addCurveData('Electricity 1', kwData)  #Display data on the DataChart as a curve graph, and set its name as 'Electricity 1'.

       names = list()

       names = ('January, Feburary, March, April, May, June, July, August, September, October, November, December')

       chart.setCategories(names)  #Set the X-axis label as names.

       chart.setXRange(0,11,1)  #Display the 0th item to 11th item of names on the X-axis, and the space is 1.

       chart.fitDataScale()  #Auto-scale the Y-axis based on the displayed data.