Python YValueAxis.scale方法代码示例

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

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

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