def sample4d():
     "Sample drawing, xvalue/yvalue axes, y connected to top of x."
     drawing = Drawing(400, 200)
     data = [(10, 20, 30, 42)]
     yAxis = YValueAxis()
     yAxis.setPosition(50, 50, 125)
     yAxis.configure(data)
     xAxis = XValueAxis()
     xAxis._length = 300
     xAxis.joinAxis = yAxis
     xAxis.joinAxisMode = 'top'
     xAxis.configure(data)
     drawing.add(xAxis)
     drawing.add(yAxis)
     return drawing

    def __init__(self):
        PlotArea.__init__(self)
        self.reversePlotOrder = 0

        self.xValueAxis = XValueAxis()
        self.yValueAxis = YValueAxis()

        # this defines two series of 3 points.  Just an example.
        self.data = [((1, 1), (2, 2), (2.5, 1), (3, 3), (4, 5)), ((1, 2), (2, 3), (2.5, 2), (3, 4), (4, 6))]

        self.lines = TypedPropertyCollection(LinePlotProperties)
        self.lines.strokeWidth = 1
        self.lines[0].strokeColor = colors.red
        self.lines[1].strokeColor = colors.blue

        self.lineLabels = TypedPropertyCollection(Label)
        self.lineLabelFormat = None
        self.lineLabelArray = None

        # this says whether the origin is inside or outside
        # the bar - +10 means put the origin ten points
        # above the tip of the bar if value > 0, or ten
        # points inside if bar value < 0.  This is different
        # to label dx/dy which are not dependent on the
        # sign of the data.
        self.lineLabelNudge = 10
        # if you have multiple series, by default they butt
        # together.

        # New line chart attributes.
        self.joinedLines = 1  # Connect items with straight lines.

        # private attributes
        self._inFill = None

 def sample6b():
     "Sample drawing, xcat/yvalue axes, x connected at bottom of y."
     drawing = Drawing(400, 200)
     data = [(10, 20, 30, 42)]
     yAxis = YValueAxis()
     yAxis.setPosition(50, 50, 125)
     yAxis.configure(data)
     xAxis = XCategoryAxis()
     xAxis._length = 300
     xAxis.configure(data)
     xAxis.joinAxis = yAxis
     xAxis.joinAxisMode = 'bottom'
     xAxis.categoryNames = ['Beer', 'Wine', 'Meat', 'Cannelloni']
     xAxis.labels.boxAnchor = 'n'
     drawing.add(xAxis)
     drawing.add(yAxis)
     return drawing

 def sample1():
     "Sample drawing containing two unconnected axes."
     from reportlab.graphics.shapes import _baseGFontNameB
     drawing = Drawing(400, 200)
     data = [(10, 20, 30, 42)]
     xAxis = XCategoryAxis()
     xAxis.setPosition(75, 75, 300)
     xAxis.configure(data)
     xAxis.categoryNames = ['Beer','Wine','Meat','Cannelloni']
     xAxis.labels.boxAnchor = 'n'
     xAxis.labels[3].dy = -15
     xAxis.labels[3].angle = 30
     xAxis.labels[3].fontName = _baseGFontNameB
     yAxis = YValueAxis()
     yAxis.setPosition(50, 50, 125)
     yAxis.configure(data)
     drawing.add(xAxis)
     drawing.add(yAxis)
     return drawing

 def sample5b():
     "Sample drawing, xvalue/yvalue axes, y connected at value 35 of x."
     drawing = Drawing(400, 200)
     data = [(10, 20, 30, 42)]
     xAxis = XValueAxis()
     xAxis.setPosition(50, 50, 300)
     xAxis.configure(data)
     yAxis = YValueAxis()
     yAxis.setPosition(50, 50, 125)
     yAxis.joinAxis = xAxis
     yAxis.joinAxisMode = 'value'
     yAxis.joinAxisPos = 35
     yAxis.configure(data)
     drawing.add(xAxis)
     drawing.add(yAxis)
     return drawing

    def __init__(self):
        LineChart.__init__(self)

        # Allow for a bounding rectangle.
        self.strokeColor = None
        self.fillColor = None

        # Named so we have less recoding for the horizontal one :-)
        self.categoryAxis = XCategoryAxis()
        self.valueAxis = YValueAxis()

        # This defines two series of 3 points.  Just an example.
        self.data = [(100,110,120,130),
                     (70, 80, 80, 90)]
        self.categoryNames = ('North','South','East','West')

        self.lines = TypedPropertyCollection(LineChartProperties)
        self.lines.strokeWidth = 1
        self.lines[0].strokeColor = colors.red
        self.lines[1].strokeColor = colors.green
        self.lines[2].strokeColor = colors.blue

        # control spacing. if useAbsolute = 1 then
        # the next parameters are in points; otherwise
        # they are 'proportions' and are normalized to
        # fit the available space.
        self.useAbsolute = 0   #- not done yet
        self.groupSpacing = 1 #5

        self.lineLabels = TypedPropertyCollection(Label)
        self.lineLabelFormat = None
        self.lineLabelArray = None

        # This says whether the origin is above or below
        # the data point. +10 means put the origin ten points
        # above the data point if value > 0, or ten
        # points below if data value < 0.  This is different
        # to label dx/dy which are not dependent on the
        # sign of the data.
        self.lineLabelNudge = 10
        # If you have multiple series, by default they butt
        # together.

        # New line chart attributes.
        self.joinedLines = 1 # Connect items with straight lines.
        self.inFill = 0
        self.reversePlotOrder = 0

 def sample4c1():
     "xvalue/yvalue axes, without drawing axis lines/ticks."
     drawing = Drawing(400, 200)
     data = [(10, 20, 30, 42)]
     yAxis = YValueAxis()
     yAxis.setPosition(50, 50, 125)
     yAxis.configure(data)
     yAxis.visibleAxis = 0
     yAxis.visibleTicks = 0
     xAxis = XValueAxis()
     xAxis._length = 300
     xAxis.joinAxis = yAxis
     xAxis.joinAxisMode = 'bottom'
     xAxis.configure(data)
     xAxis.visibleAxis = 0
     xAxis.visibleTicks = 0
     drawing.add(xAxis)
     drawing.add(yAxis)
     return drawing

class LinePlot(AbstractLineChart):
    """Line plot with multiple lines.

    Both x- and y-axis are value axis (so there are no seperate
    X and Y versions of this class).
    """
    _attrMap = AttrMap(BASE=PlotArea,
        reversePlotOrder = AttrMapValue(isBoolean, desc='If true reverse plot order.',advancedUsage=1),
        lineLabelNudge = AttrMapValue(isNumber, desc='Distance between a data point and its label.',advancedUsage=1),
        lineLabels = AttrMapValue(None, desc='Handle to the list of data point labels.'),
        lineLabelFormat = AttrMapValue(None, desc='Formatting string or function used for data point labels.'),
        lineLabelArray = AttrMapValue(None, desc='explicit array of line label values, must match size of data if present.'),
        joinedLines = AttrMapValue(isNumber, desc='Display data points joined with lines if true.'),
        strokeColor = AttrMapValue(isColorOrNone, desc='Color used for background border of plot area.'),
        fillColor = AttrMapValue(isColorOrNone, desc='Color used for background interior of plot area.'),
        lines = AttrMapValue(None, desc='Handle of the lines.'),
        xValueAxis = AttrMapValue(None, desc='Handle of the x axis.'),
        yValueAxis = AttrMapValue(None, desc='Handle of the y axis.'),
        data = AttrMapValue(None, desc='Data to be plotted, list of (lists of) x/y tuples.'),
        annotations = AttrMapValue(None, desc='list of callables, will be called with self, xscale, yscale.',advancedUsage=1),
        behindAxes = AttrMapValue(isBoolean, desc='If true use separate line group.',advancedUsage=1),
        gridFirst = AttrMapValue(isBoolean, desc='If true use draw grids before axes.',advancedUsage=1),
        )

    def __init__(self):
        PlotArea.__init__(self)
        self.reversePlotOrder = 0

        self.xValueAxis = XValueAxis()
        self.yValueAxis = YValueAxis()

        # this defines two series of 3 points.  Just an example.
        self.data = [
            ((1,1), (2,2), (2.5,1), (3,3), (4,5)),
            ((1,2), (2,3), (2.5,2), (3,4), (4,6))
            ]

        self.lines = TypedPropertyCollection(LinePlotProperties)
        self.lines.strokeWidth = 1
        self.lines[0].strokeColor = colors.red
        self.lines[1].strokeColor = colors.blue

        self.lineLabels = TypedPropertyCollection(Label)
        self.lineLabelFormat = None
        self.lineLabelArray = None

        # this says whether the origin is inside or outside
        # the bar - +10 means put the origin ten points
        # above the tip of the bar if value > 0, or ten
        # points inside if bar value < 0.  This is different
        # to label dx/dy which are not dependent on the
        # sign of the data.
        self.lineLabelNudge = 10
        # if you have multiple series, by default they butt
        # together.

        # New line chart attributes.
        self.joinedLines = 1 # Connect items with straight lines.

        #private attributes
        self._inFill = None
        self.annotations = []
        self.behindAxes = 0
        self.gridFirst = 0

    def demo(self):
        """Shows basic use of a line chart."""

        drawing = Drawing(400, 200)

        data = [
            ((1,1), (2,2), (2.5,1), (3,3), (4,5)),
            ((1,2), (2,3), (2.5,2), (3.5,5), (4,6))
            ]

        lp = LinePlot()

        lp.x = 50
        lp.y = 50
        lp.height = 125
        lp.width = 300
        lp.data = data
        lp.joinedLines = 1
        lp.lineLabelFormat = '%2.0f'
        lp.strokeColor = colors.black

        lp.lines[0].strokeColor = colors.red
        lp.lines[0].symbol = makeMarker('FilledCircle')
        lp.lines[1].strokeColor = colors.blue
        lp.lines[1].symbol = makeMarker('FilledDiamond')

        lp.xValueAxis.valueMin = 0
        lp.xValueAxis.valueMax = 5
        lp.xValueAxis.valueStep = 1

        lp.yValueAxis.valueMin = 0
        lp.yValueAxis.valueMax = 7
        lp.yValueAxis.valueStep = 1

        drawing.add(lp)
#.........这里部分代码省略.........

from reportlab.graphics.charts.axes import XCategoryAxis,YValueAxis

drawing = Drawing(400, 200)

data = [(10, 20, 30, 40), (15, 22, 37, 42)]

xAxis = XCategoryAxis()
xAxis.setPosition(75, 75, 300)
xAxis.configure(data)
xAxis.categoryNames = ['Beer', 'Wine', 'Meat', 'Cannelloni']
xAxis.labels.boxAnchor = 'n'
xAxis.labels[3].dy = -15
xAxis.labels[3].angle = 30
xAxis.labels[3].fontName = 'Times-Bold'

yAxis = YValueAxis()
yAxis.setPosition(50, 50, 125)
yAxis.configure(data)

drawing.add(xAxis)
drawing.add(yAxis)

draw(drawing, 'Two isolated axes')


disc("Here is the code that created them: ")

eg("""
from reportlab.graphics import shapes
from reportlab.graphics.charts.axes import XCategoryAxis,YValueAxis

    def generateGraphs(self, x, y):
        (x1, y1, Width, Height) = self._getGraphRegion(x, y)
        #Draw Axes
        yVAxis = YValueAxis()
        #If we got numeric X vals, we use a ValueAxis, otherwise CategoryAxis.
        if len(self.x_vals) > 0:
            if isinstance(self.x_vals[0], str):
                xVAxis = XCategoryAxis()
            else:
                xVAxis = XValueAxis()
        else:
            return -1
        
        (y_min, y_max, y_step) = self.getValueAxisScale(yVAxis, [self.y_vals])

        if y_min == -1 and y_min == -1 and y_step == -1:
            return -1
        
        (self.valueMin, self.valueMax, self.valueStep) = (y_min, y_max, y_step)
        
        (SizeXaxis, SizeYaxis) = self.getSizes()
        #lot of ugliness in here to get the split chart working :|
        if self.betweenSplitsF == True:
            if self.numSplits == 0:
                self.tmpYVal = SizeYaxis
            else:
                SizeYaxis = self.tmpYVal
        if self.numSplits > 0:
            xVAxis.visibleLabels = False
            xVAxis.visibleTicks = False
        X_start_pos = x1 - x + SizeYaxis
        X_width = Width - SizeYaxis - 10
        if self.betweenSplitsF == True:
            if self.numSplits > 0:
                Y_start_pos = y1 - y + SizeXaxis + (self.numSplits *
                        self.height) - (self.numSplits * 15)
            else:
                Y_start_pos = y1 - y + SizeXaxis + (self.numSplits *
                        self.height)
            Y_height = Height - SizeXaxis + 40
        else:
            Y_start_pos = y1 - y + SizeXaxis + (self.numSplits *
                    self.height)
            Y_height = Height - SizeXaxis
        xVAxis.setPosition(X_start_pos, Y_start_pos, X_width)
        if isinstance(xVAxis, XValueAxis):
            dataList = []
            dataTuple =  reduce(lambda a,b: a + (b,), self.x_vals, ())
            dataList.append(dataTuple)
            xVAxis.configure(dataList)
            xVAxis.labelTextFormat = '%0.' + '%d' % self.xAxisDigits + 'f'
        else:
            dataList = []
            zerodata = [0 for val in self.x_vals]
            dataTuple =  reduce(lambda a,b: a + (b,), zerodata, ())
            dataList.append(dataTuple)
            xVAxis.configure(dataList)
            xVAxis.categoryNames = self.x_vals
            #Ugly hack for setting the labels.dy. Empirical: If there are more than 5 
            #chars, dy = -35 fits fine (assuming the angle would be > 75,when we have 
            #so long val)
            maxLen = 0
            for val in self.x_vals:
                valLen = len(val)
                if valLen > maxLen:
                    maxLen = valLen
            if maxLen > 5:
                xVAxis.labels.dy = -35
                           
        xVAxis.labels.fontName = 'Helvetica'
        xVAxis.labels.fontSize = 7
        xVAxis.labels.angle = self.xValsDisplayAngle
        drawLegendF = False
        if len(self.legendList) > 0:
            drawLegendF = True
        drawLabelF = False
        lblCounts = len(self.x_vals) * len(self.y_vals)
        if lblCounts <= 30 and self.displayDataLbls == True:
            drawLabelF = True
        if len(self.x_vals) == 1:
            drawLabelF = True            
        #hack to increase chart height to include legend and labels
        total_height = 0
        legendHeight = 0
        if drawLegendF == True:
            #Kludge: We enchroach the space needed for legends by bringing down the 
            #y value by 28 (in drawOn()), we use that space here
            legendHeight = Y_height + 28
        graph_height = Y_height
        yVAxis.setPosition(X_start_pos, Y_start_pos, Y_height)
        yVAxis.valueMin = y_min
        yVAxis.valueMax = y_max    
        yVAxis.valueStep = y_step
        yVAxis.labels.fontName = 'Helvetica'
        yVAxis.labels.fontSize = 7
        yVAxis.labelTextFormat = '%0.' + '%d' % self.yAxisDigits + 'f'
        yVAxis.configure(self.y_vals)
        #will later sync the yVAxis as the ValueAxis of the graph
        self.drawing.add(xVAxis)
        if self.numSplits == 0:
#.........这里部分代码省略.........

class HorizontalLineChart(LineChart):
    """Line chart with multiple lines.

    A line chart is assumed to have one category and one value axis.
    Despite its generic name this particular line chart class has
    a vertical value axis and a horizontal category one. It may
    evolve into individual horizontal and vertical variants (like
    with the existing bar charts).

    Available attributes are:

        x: x-position of lower-left chart origin
        y: y-position of lower-left chart origin
        width: chart width
        height: chart height

        useAbsolute: disables auto-scaling of chart elements (?)
        lineLabelNudge: distance of data labels to data points
        lineLabels: labels associated with data values
        lineLabelFormat: format string or callback function
        groupSpacing: space between categories

        joinedLines: enables drawing of lines

        strokeColor: color of chart lines (?)
        fillColor: color for chart background (?)
        lines: style list, used cyclically for data series

        valueAxis: value axis object
        categoryAxis: category axis object
        categoryNames: category names

        data: chart data, a list of data series of equal length
    """

    _attrMap = AttrMap(BASE=LineChart,
        useAbsolute = AttrMapValue(isNumber, desc='Flag to use absolute spacing values.',advancedUsage=1),
        lineLabelNudge = AttrMapValue(isNumber, desc='Distance between a data point and its label.',advancedUsage=1),
        lineLabels = AttrMapValue(None, desc='Handle to the list of data point labels.'),
        lineLabelFormat = AttrMapValue(None, desc='Formatting string or function used for data point labels.'),
        lineLabelArray = AttrMapValue(None, desc='explicit array of line label values, must match size of data if present.'),
        groupSpacing = AttrMapValue(isNumber, desc='? - Likely to disappear.'),
        joinedLines = AttrMapValue(isNumber, desc='Display data points joined with lines if true.'),
        lines = AttrMapValue(None, desc='Handle of the lines.'),
        valueAxis = AttrMapValue(None, desc='Handle of the value axis.'),
        categoryAxis = AttrMapValue(None, desc='Handle of the category axis.'),
        categoryNames = AttrMapValue(isListOfStringsOrNone, desc='List of category names.'),
        data = AttrMapValue(None, desc='Data to be plotted, list of (lists of) numbers.'),
        inFill = AttrMapValue(isBoolean, desc='Whether infilling should be done.',advancedUsage=1),
        reversePlotOrder = AttrMapValue(isBoolean, desc='If true reverse plot order.',advancedUsage=1),
        annotations = AttrMapValue(None, desc='list of callables, will be called with self, xscale, yscale.',advancedUsage=1),
        )

    def __init__(self):
        LineChart.__init__(self)

        # Allow for a bounding rectangle.
        self.strokeColor = None
        self.fillColor = None

        # Named so we have less recoding for the horizontal one :-)
        self.categoryAxis = XCategoryAxis()
        self.valueAxis = YValueAxis()

        # This defines two series of 3 points.  Just an example.
        self.data = [(100,110,120,130),
                     (70, 80, 80, 90)]
        self.categoryNames = ('North','South','East','West')

        self.lines = TypedPropertyCollection(LineChartProperties)
        self.lines.strokeWidth = 1
        self.lines[0].strokeColor = colors.red
        self.lines[1].strokeColor = colors.green
        self.lines[2].strokeColor = colors.blue

        # control spacing. if useAbsolute = 1 then
        # the next parameters are in points; otherwise
        # they are 'proportions' and are normalized to
        # fit the available space.
        self.useAbsolute = 0   #- not done yet
        self.groupSpacing = 1 #5

        self.lineLabels = TypedPropertyCollection(Label)
        self.lineLabelFormat = None
        self.lineLabelArray = None

        # This says whether the origin is above or below
        # the data point. +10 means put the origin ten points
        # above the data point if value > 0, or ten
        # points below if data value < 0.  This is different
        # to label dx/dy which are not dependent on the
        # sign of the data.
        self.lineLabelNudge = 10
        # If you have multiple series, by default they butt
        # together.

        # New line chart attributes.
        self.joinedLines = 1 # Connect items with straight lines.
        self.inFill = 0
        self.reversePlotOrder = 0
#.........这里部分代码省略.........

def run(self):
    def weight_sort(a, b):
        return cmp(a.getWeight(), b.getWeight())
        
    drawing = Drawing(600, 300)
    lc = LinePlot()
     
    # Determine axis dimensions and create data set
    maxval = 0
    minval = 0    
    dimension_one_values = []
    dimension_two_values = []
    dimension_one_answeroptions_as_objects = []
    dimension_two_answeroptions_as_objects = []
    counter = 0
    for question in self.getQuestions():        
        weights = [int(weight) for weight in question.getAnswerOptionsWeights()]
        answeroptions = list(question.getAnswerOptions())

        # This is used by the legend. Sort on weight.
        if counter == 0:
            dimension_one_answeroptions_as_objects = question.getAnswerOptionsAsObjects()
            dimension_one_answeroptions_as_objects.sort(weight_sort)
        else:
            dimension_two_answeroptions_as_objects = question.getAnswerOptionsAsObjects()
            dimension_two_answeroptions_as_objects.sort(weight_sort)

        # Minmax
        lmin = min(weights)
        lmax = max(weights)
        if lmin < minval:
            minval = lmin
        if lmax > maxval:
            maxval = lmax
        
        # Data
        for user, answer in question.answers.items():
            value = answer.get('value', None)            
            weight = None
            if value is not None:                
                # Lookup the integer weight of this answer
                if value in answeroptions:
                    index = answeroptions.index(value)
                    weight = weights[index]
            # Always add to the list. ReportLab deals with None.    
            if counter == 0:
                dimension_one_values.append(weight)
            else:
                dimension_two_values.append(weight)
                
        counter += 1

    # Set minmax
    absmax = max(abs(minval), abs(maxval)) * 1.1    
    lc.xValueAxis.valueMin = -absmax
    lc.xValueAxis.valueMax = absmax    
    lc.yValueAxis.valueMin = -absmax
    lc.yValueAxis.valueMax = absmax
       
    # Zip to create data
    data = [zip(dimension_one_values, dimension_two_values)]
    if not len(data[0]):
        return
    
    lc.x = 0
    lc.y = 0
    # Misc setup
    lc.height = 300
    lc.width = 300
    lc.data = data
    lc.joinedLines = 0
    lc.fillColor = None
    lc.lines[0].strokeColor = colors.red
    lc.lines[0].symbol = makeMarker('FilledCircle')

    # Add a grid
    grid = DoubleGrid()
    lc.background = grid
    setupGrid(lc)    
    lc.background = None
    # Finetune the grid
    grid.grid0.strokeWidth = 0.2
    grid.grid1.strokeWidth = 0.2
    # Add to drawing else it overwrites the center Y axis
    drawing.add(grid)
   
    # Add a Y axis to pass through the origin
    yaxis = YValueAxis()
    yaxis.setPosition(lc.width/2, 0, lc.height)
    yaxis.configure([(0,-absmax),(0,absmax)])
    yaxis.strokeColor = colors.blue
    drawing.add(yaxis)

    # Color X-Axis
    lc.xValueAxis.strokeColor = colors.green

    drawing.add(lc)

    # Legend for Dimension One
    drawing.add(String(lc.width+20, lc.height-12, 'Dimension One (X-Axis):', 
#.........这里部分代码省略.........

class LinePlot(PlotArea):
    """Line plot with multiple lines.

    Both x- and y-axis are value axis (so there are no seperate
    X and Y versions of this class).
    """

    _attrMap = AttrMap(
        BASE=PlotArea,
        reversePlotOrder=AttrMapValue(isBoolean, desc="If true reverse plot order."),
        lineLabelNudge=AttrMapValue(isNumber, desc="Distance between a data point and its label."),
        lineLabels=AttrMapValue(None, desc="Handle to the list of data point labels."),
        lineLabelFormat=AttrMapValue(None, desc="Formatting string or function used for data point labels."),
        lineLabelArray=AttrMapValue(
            None, desc="explicit array of line label values, must match size of data if present."
        ),
        joinedLines=AttrMapValue(isNumber, desc="Display data points joined with lines if true."),
        strokeColor=AttrMapValue(isColorOrNone, desc="Color used for background border of plot area."),
        fillColor=AttrMapValue(isColorOrNone, desc="Color used for background interior of plot area."),
        lines=AttrMapValue(None, desc="Handle of the lines."),
        xValueAxis=AttrMapValue(None, desc="Handle of the x axis."),
        yValueAxis=AttrMapValue(None, desc="Handle of the y axis."),
        data=AttrMapValue(None, desc="Data to be plotted, list of (lists of) x/y tuples."),
        annotations=AttrMapValue(None, desc="list of callables, will be called with self, xscale, yscale."),
    )

    def __init__(self):
        PlotArea.__init__(self)
        self.reversePlotOrder = 0

        self.xValueAxis = XValueAxis()
        self.yValueAxis = YValueAxis()

        # this defines two series of 3 points.  Just an example.
        self.data = [((1, 1), (2, 2), (2.5, 1), (3, 3), (4, 5)), ((1, 2), (2, 3), (2.5, 2), (3, 4), (4, 6))]

        self.lines = TypedPropertyCollection(LinePlotProperties)
        self.lines.strokeWidth = 1
        self.lines[0].strokeColor = colors.red
        self.lines[1].strokeColor = colors.blue

        self.lineLabels = TypedPropertyCollection(Label)
        self.lineLabelFormat = None
        self.lineLabelArray = None

        # this says whether the origin is inside or outside
        # the bar - +10 means put the origin ten points
        # above the tip of the bar if value > 0, or ten
        # points inside if bar value < 0.  This is different
        # to label dx/dy which are not dependent on the
        # sign of the data.
        self.lineLabelNudge = 10
        # if you have multiple series, by default they butt
        # together.

        # New line chart attributes.
        self.joinedLines = 1  # Connect items with straight lines.

        # private attributes
        self._inFill = None

    def demo(self):
        """Shows basic use of a line chart."""

        drawing = Drawing(400, 200)

        data = [((1, 1), (2, 2), (2.5, 1), (3, 3), (4, 5)), ((1, 2), (2, 3), (2.5, 2), (3.5, 5), (4, 6))]

        lp = LinePlot()

        lp.x = 50
        lp.y = 50
        lp.height = 125
        lp.width = 300
        lp.data = data
        lp.joinedLines = 1
        lp.lineLabelFormat = "%2.0f"
        lp.strokeColor = colors.black

        lp.lines[0].strokeColor = colors.red
        lp.lines[0].symbol = makeMarker("FilledCircle")
        lp.lines[1].strokeColor = colors.blue
        lp.lines[1].symbol = makeMarker("FilledDiamond")

        lp.xValueAxis.valueMin = 0
        lp.xValueAxis.valueMax = 5
        lp.xValueAxis.valueStep = 1

        lp.yValueAxis.valueMin = 0
        lp.yValueAxis.valueMax = 7
        lp.yValueAxis.valueStep = 1

        drawing.add(lp)

        return drawing

    def calcPositions(self):
        """Works out where they go.

        Sets an attribute _positions which is a list of
#.........这里部分代码省略.........

def generatePdfReport(request):
    # Create the HttpResponse object with the appropriate PDF headers.
    response = HttpResponse(content_type='application/pdf')
    response['Content-Disposition'] = 'attachment; filename="somefilename.pdf"'

    # Create the PDF object, using the response object as its "file."
    p = canvas.Canvas(response)
    
    # Draw things on the PDF. Here's where the PDF generation happens.
    # See the ReportLab documentation for the full list of functionality.
    Title="Test Report"
    PAGE_HEIGHT=defaultPageSize[1]  
    PAGE_WIDTH=defaultPageSize[0]  
    p.drawCentredString(PAGE_WIDTH/2.0, PAGE_HEIGHT-108, Title)
    p.drawString(100,900,"Test Configuration")
    configuration=request.session["test_configuration"]
    data=[['Operation','On/Off','Percentage','Keys','Size']]
    if 'readState' in configuration:
        readData=[['Read',configuration['readState'],configuration['readPercentage'],configuration['readKeys'],configuration['readSize']]]
    else:
        readData=[['Read','0','0','0','0']]
    data=data+readData
    if 'writeState' in configuration:
        writeData=[['Write',configuration['writeState'],configuration['writePercentage'],configuration['writeKeys'],configuration['writeSize']]]
    else:
        writeData=[['Write','0','0','0','0']]
    data=data+writeData
    if 'updateState' in configuration:
        updateData=[['Update',configuration['updateState'],configuration['updatePercentage'],configuration['updateKeys'],configuration['updateSize']]]
    else:
        updateData=[['Update','0','0','0','0']]
    data=data+updateData
    table = Table(data, colWidths=100, rowHeights=20)
    table.hAlign="CENTER"
    table.setStyle(TableStyle())
    table.wrapOn(p, 300, 800)
    table.drawOn(p,80,550)
    
    p.drawString(80,700,"Test Configuration")
    p.drawString(80,500,"Test Time : ")
    p.drawString(200,500,str(t1.getTime()) + " miliseconds " )
    p.drawString(80,400,"Test Chart")
    p.saveState()
    
    drawing = Drawing(10, 10)
    data = [(10, 20, 30, 40), (15, 22, 37, 42)]
    xAxis = XCategoryAxis()
    xAxis.setPosition(75, 75, 300)
    xAxis.configure(data)
    xAxis.categoryNames = ['Beer', 'Wine', 'Meat', 'Cannelloni']
    xAxis.labels.boxAnchor = 'n'
    xAxis.labels[3].dy = -15
    xAxis.labels[3].angle = 30
    xAxis.labels[3].fontName = 'Times-Bold'
    yAxis = YValueAxis()
    yAxis.setPosition(50, 50, 125)
    yAxis.configure(data)
    drawing.add(xAxis)
    drawing.add(yAxis)
    
    # Close the PDF object cleanly, and we're done.
    p.showPage()
    p.save()
    return response