Python XCategoryAxis.scale方法代码示例

# 需要导入模块: from reportlab.graphics.charts.axes import XCategoryAxis [as 别名]
# 或者: from reportlab.graphics.charts.axes.XCategoryAxis import scale [as 别名]
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.........