696 lines
22 KiB
Python
696 lines
22 KiB
Python
#Copyright ReportLab Europe Ltd. 2000-2004
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#see license.txt for license details
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#history http://www.reportlab.co.uk/cgi-bin/viewcvs.cgi/public/reportlab/trunk/reportlab/graphics/charts/linecharts.py
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"""
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This modules defines a very preliminary Line Chart example.
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"""
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__version__=''' $Id: linecharts.py 2493 2004-12-22 16:14:25Z rgbecker $ '''
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import string
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from types import FunctionType, StringType
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from reportlab.lib import colors
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from reportlab.lib.validators import isNumber, isColor, isColorOrNone, isListOfStrings, \
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isListOfStringsOrNone, SequenceOf, isBoolean, NoneOr, \
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isListOfNumbersOrNone, isStringOrNone
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from reportlab.lib.attrmap import *
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from reportlab.lib.formatters import Formatter
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from reportlab.graphics.widgetbase import Widget, TypedPropertyCollection, PropHolder
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from reportlab.graphics.shapes import Line, Rect, Group, Drawing, Polygon, PolyLine
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from reportlab.graphics.widgets.signsandsymbols import NoEntry
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from reportlab.graphics.charts.axes import XCategoryAxis, YValueAxis
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from reportlab.graphics.charts.textlabels import Label
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from reportlab.graphics.widgets.markers import uSymbol2Symbol, isSymbol, makeMarker
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from reportlab.graphics.charts.areas import PlotArea
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class LineChartProperties(PropHolder):
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_attrMap = AttrMap(
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strokeWidth = AttrMapValue(isNumber, desc='Width of a line.'),
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strokeColor = AttrMapValue(isColorOrNone, desc='Color of a line.'),
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strokeDashArray = AttrMapValue(isListOfNumbersOrNone, desc='Dash array of a line.'),
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symbol = AttrMapValue(NoneOr(isSymbol), desc='Widget placed at data points.'),
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shader = AttrMapValue(None, desc='Shader Class.'),
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filler = AttrMapValue(None, desc='Filler Class.'),
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name = AttrMapValue(isStringOrNone, desc='Name of the line.'),
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)
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class AbstractLineChart(PlotArea):
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def makeSwatchSample(self,rowNo, x, y, width, height):
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baseStyle = self.lines
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styleIdx = rowNo % len(baseStyle)
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style = baseStyle[styleIdx]
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color = style.strokeColor
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y = y+height/2.
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if self.joinedLines:
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dash = getattr(style, 'strokeDashArray', getattr(baseStyle,'strokeDashArray',None))
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strokeWidth= getattr(style, 'strokeWidth', getattr(style, 'strokeWidth',None))
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L = Line(x,y,x+width,y,strokeColor=color,strokeLineCap=0)
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if strokeWidth: L.strokeWidth = strokeWidth
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if dash: L.strokeDashArray = dash
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else:
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L = None
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if hasattr(style, 'symbol'):
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S = style.symbol
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elif hasattr(baseStyle, 'symbol'):
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S = baseStyle.symbol
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else:
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S = None
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if S: S = uSymbol2Symbol(S,x+width/2.,y,color)
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if S and L:
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g = Group()
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g.add(L)
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g.add(S)
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return g
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return S or L
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def getSeriesName(self,i,default=None):
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'''return series name i or default'''
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return getattr(self.lines[i],'name',default)
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class LineChart(AbstractLineChart):
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pass
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# This is conceptually similar to the VerticalBarChart.
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# Still it is better named HorizontalLineChart... :-/
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class HorizontalLineChart(LineChart):
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"""Line chart with multiple lines.
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A line chart is assumed to have one category and one value axis.
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Despite its generic name this particular line chart class has
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a vertical value axis and a horizontal category one. It may
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evolve into individual horizontal and vertical variants (like
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with the existing bar charts).
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Available attributes are:
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x: x-position of lower-left chart origin
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y: y-position of lower-left chart origin
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width: chart width
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height: chart height
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useAbsolute: disables auto-scaling of chart elements (?)
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lineLabelNudge: distance of data labels to data points
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lineLabels: labels associated with data values
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lineLabelFormat: format string or callback function
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groupSpacing: space between categories
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joinedLines: enables drawing of lines
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strokeColor: color of chart lines (?)
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fillColor: color for chart background (?)
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lines: style list, used cyclically for data series
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valueAxis: value axis object
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categoryAxis: category axis object
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categoryNames: category names
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data: chart data, a list of data series of equal length
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"""
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_attrMap = AttrMap(BASE=LineChart,
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useAbsolute = AttrMapValue(isNumber, desc='Flag to use absolute spacing values.'),
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lineLabelNudge = AttrMapValue(isNumber, desc='Distance between a data point and its label.'),
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lineLabels = AttrMapValue(None, desc='Handle to the list of data point labels.'),
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lineLabelFormat = AttrMapValue(None, desc='Formatting string or function used for data point labels.'),
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lineLabelArray = AttrMapValue(None, desc='explicit array of line label values, must match size of data if present.'),
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groupSpacing = AttrMapValue(isNumber, desc='? - Likely to disappear.'),
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joinedLines = AttrMapValue(isNumber, desc='Display data points joined with lines if true.'),
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lines = AttrMapValue(None, desc='Handle of the lines.'),
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valueAxis = AttrMapValue(None, desc='Handle of the value axis.'),
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categoryAxis = AttrMapValue(None, desc='Handle of the category axis.'),
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categoryNames = AttrMapValue(isListOfStringsOrNone, desc='List of category names.'),
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data = AttrMapValue(None, desc='Data to be plotted, list of (lists of) numbers.'),
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inFill = AttrMapValue(isBoolean, desc='Whether infilling should be done.'),
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reversePlotOrder = AttrMapValue(isBoolean, desc='If true reverse plot order.'),
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annotations = AttrMapValue(None, desc='list of callables, will be called with self, xscale, yscale.'),
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)
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def __init__(self):
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LineChart.__init__(self)
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# Allow for a bounding rectangle.
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self.strokeColor = None
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self.fillColor = None
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# Named so we have less recoding for the horizontal one :-)
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self.categoryAxis = XCategoryAxis()
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self.valueAxis = YValueAxis()
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# This defines two series of 3 points. Just an example.
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self.data = [(100,110,120,130),
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(70, 80, 80, 90)]
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self.categoryNames = ('North','South','East','West')
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self.lines = TypedPropertyCollection(LineChartProperties)
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self.lines.strokeWidth = 1
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self.lines[0].strokeColor = colors.red
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self.lines[1].strokeColor = colors.green
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self.lines[2].strokeColor = colors.blue
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# control spacing. if useAbsolute = 1 then
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# the next parameters are in points; otherwise
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# they are 'proportions' and are normalized to
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# fit the available space.
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self.useAbsolute = 0 #- not done yet
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self.groupSpacing = 1 #5
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self.lineLabels = TypedPropertyCollection(Label)
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self.lineLabelFormat = None
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self.lineLabelArray = None
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# This says whether the origin is above or below
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# the data point. +10 means put the origin ten points
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# above the data point if value > 0, or ten
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# points below if data value < 0. This is different
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# to label dx/dy which are not dependent on the
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# sign of the data.
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self.lineLabelNudge = 10
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# If you have multiple series, by default they butt
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# together.
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# New line chart attributes.
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self.joinedLines = 1 # Connect items with straight lines.
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self.inFill = 0
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self.reversePlotOrder = 0
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def demo(self):
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"""Shows basic use of a line chart."""
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drawing = Drawing(200, 100)
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data = [
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(13, 5, 20, 22, 37, 45, 19, 4),
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(14, 10, 21, 28, 38, 46, 25, 5)
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]
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lc = HorizontalLineChart()
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lc.x = 20
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lc.y = 10
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lc.height = 85
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lc.width = 170
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lc.data = data
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lc.lines.symbol = makeMarker('Circle')
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drawing.add(lc)
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return drawing
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def calcPositions(self):
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"""Works out where they go.
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Sets an attribute _positions which is a list of
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lists of (x, y) matching the data.
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"""
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self._seriesCount = len(self.data)
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self._rowLength = max(map(len,self.data))
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if self.useAbsolute:
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# Dimensions are absolute.
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normFactor = 1.0
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else:
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# Dimensions are normalized to fit.
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normWidth = self.groupSpacing
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availWidth = self.categoryAxis.scale(0)[1]
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normFactor = availWidth / normWidth
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self._positions = []
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for rowNo in range(len(self.data)):
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lineRow = []
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for colNo in range(len(self.data[rowNo])):
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datum = self.data[rowNo][colNo]
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if datum is not None:
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(groupX, groupWidth) = self.categoryAxis.scale(colNo)
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x = groupX + (0.5 * self.groupSpacing * normFactor)
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y = self.valueAxis.scale(0)
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height = self.valueAxis.scale(datum) - y
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lineRow.append((x, y+height))
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self._positions.append(lineRow)
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def _innerDrawLabel(self, rowNo, colNo, x, y):
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"Draw a label for a given item in the list."
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labelFmt = self.lineLabelFormat
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labelValue = self.data[rowNo][colNo]
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if labelFmt is None:
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labelText = None
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elif type(labelFmt) is StringType:
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if labelFmt == 'values':
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labelText = self.lineLabelArray[rowNo][colNo]
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else:
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labelText = labelFmt % labelValue
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elif type(labelFmt) is FunctionType:
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labelText = labelFmt(labelValue)
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elif isinstance(labelFmt, Formatter):
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labelText = labelFmt(labelValue)
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else:
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msg = "Unknown formatter type %s, expected string or function"
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raise Exception, msg % labelFmt
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if labelText:
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label = self.lineLabels[(rowNo, colNo)]
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# Make sure labels are some distance off the data point.
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if y > 0:
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label.setOrigin(x, y + self.lineLabelNudge)
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else:
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label.setOrigin(x, y - self.lineLabelNudge)
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label.setText(labelText)
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else:
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label = None
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return label
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def drawLabel(self, G, rowNo, colNo, x, y):
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'''Draw a label for a given item in the list.
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G must have an add method'''
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G.add(self._innerDrawLabel(rowNo,colNo,x,y))
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def makeLines(self):
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g = Group()
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labelFmt = self.lineLabelFormat
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P = range(len(self._positions))
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if self.reversePlotOrder: P.reverse()
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inFill = self.inFill
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if inFill:
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inFillY = self.categoryAxis._y
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inFillX0 = self.valueAxis._x
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inFillX1 = inFillX0 + self.categoryAxis._length
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inFillG = getattr(self,'_inFillG',g)
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# Iterate over data rows.
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for rowNo in P:
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row = self._positions[rowNo]
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styleCount = len(self.lines)
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styleIdx = rowNo % styleCount
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rowStyle = self.lines[styleIdx]
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rowColor = rowStyle.strokeColor
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dash = getattr(rowStyle, 'strokeDashArray', None)
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if hasattr(self.lines[styleIdx], 'strokeWidth'):
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strokeWidth = self.lines[styleIdx].strokeWidth
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elif hasattr(self.lines, 'strokeWidth'):
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strokeWidth = self.lines.strokeWidth
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else:
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strokeWidth = None
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# Iterate over data columns.
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if self.joinedLines:
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points = []
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for colNo in range(len(row)):
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points += row[colNo]
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if inFill:
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points = points + [inFillX1,inFillY,inFillX0,inFillY]
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inFillG.add(Polygon(points,fillColor=rowColor,strokeColor=rowColor,strokeWidth=0.1))
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else:
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line = PolyLine(points,strokeColor=rowColor,strokeLineCap=0,strokeLineJoin=1)
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if strokeWidth:
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line.strokeWidth = strokeWidth
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if dash:
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line.strokeDashArray = dash
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g.add(line)
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if hasattr(self.lines[styleIdx], 'symbol'):
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uSymbol = self.lines[styleIdx].symbol
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elif hasattr(self.lines, 'symbol'):
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uSymbol = self.lines.symbol
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else:
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uSymbol = None
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if uSymbol:
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for colNo in range(len(row)):
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x1, y1 = row[colNo]
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symbol = uSymbol2Symbol(uSymbol,x1,y1,rowStyle.strokeColor)
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if symbol: g.add(symbol)
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# Draw item labels.
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for colNo in range(len(row)):
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x1, y1 = row[colNo]
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self.drawLabel(g, rowNo, colNo, x1, y1)
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return g
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def draw(self):
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"Draws itself."
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vA, cA = self.valueAxis, self.categoryAxis
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vA.setPosition(self.x, self.y, self.height)
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if vA: vA.joinAxis = cA
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if cA: cA.joinAxis = vA
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vA.configure(self.data)
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# If zero is in chart, put x axis there, otherwise
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# use bottom.
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xAxisCrossesAt = vA.scale(0)
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if ((xAxisCrossesAt > self.y + self.height) or (xAxisCrossesAt < self.y)):
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y = self.y
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else:
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y = xAxisCrossesAt
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cA.setPosition(self.x, y, self.width)
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cA.configure(self.data)
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self.calcPositions()
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g = Group()
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g.add(self.makeBackground())
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if self.inFill:
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self._inFillG = Group()
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g.add(self._inFillG)
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g.add(cA)
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g.add(vA)
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vA.gridStart = cA._x
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vA.gridEnd = cA._x+cA._length
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cA.gridStart = vA._y
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cA.gridEnd = vA._y+vA._length
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cA.makeGrid(g,parent=self)
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vA.makeGrid(g,parent=self)
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g.add(self.makeLines())
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for a in getattr(self,'annotations',()): g.add(a(self,cA.scale,vA.scale))
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return g
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def _cmpFakeItem(a,b):
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'''t, z0, z1, x, y = a[:5]'''
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return cmp((-a[1],a[3],a[0],-a[4]),(-b[1],b[3],b[0],-b[4]))
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class _FakeGroup:
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def __init__(self):
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self._data = []
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def add(self,what):
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if what: self._data.append(what)
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def value(self):
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return self._data
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def sort(self):
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self._data.sort(_cmpFakeItem)
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#for t in self._data: print t
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class HorizontalLineChart3D(HorizontalLineChart):
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_attrMap = AttrMap(BASE=HorizontalLineChart,
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theta_x = AttrMapValue(isNumber, desc='dx/dz'),
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theta_y = AttrMapValue(isNumber, desc='dy/dz'),
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zDepth = AttrMapValue(isNumber, desc='depth of an individual series'),
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zSpace = AttrMapValue(isNumber, desc='z gap around series'),
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)
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theta_x = .5
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theta_y = .5
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zDepth = 10
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zSpace = 3
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def calcPositions(self):
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HorizontalLineChart.calcPositions(self)
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nSeries = self._seriesCount
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zSpace = self.zSpace
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zDepth = self.zDepth
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if self.categoryAxis.style=='parallel_3d':
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_3d_depth = nSeries*zDepth+(nSeries+1)*zSpace
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else:
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_3d_depth = zDepth + 2*zSpace
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self._3d_dx = self.theta_x*_3d_depth
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self._3d_dy = self.theta_y*_3d_depth
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def _calc_z0(self,rowNo):
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zSpace = self.zSpace
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if self.categoryAxis.style=='parallel_3d':
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z0 = rowNo*(self.zDepth+zSpace)+zSpace
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else:
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z0 = zSpace
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return z0
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def _zadjust(self,x,y,z):
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return x+z*self.theta_x, y+z*self.theta_y
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def makeLines(self):
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labelFmt = self.lineLabelFormat
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P = range(len(self._positions))
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if self.reversePlotOrder: P.reverse()
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inFill = self.inFill
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assert not inFill, "inFill not supported for 3d yet"
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#if inFill:
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#inFillY = self.categoryAxis._y
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#inFillX0 = self.valueAxis._x
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#inFillX1 = inFillX0 + self.categoryAxis._length
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#inFillG = getattr(self,'_inFillG',g)
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zDepth = self.zDepth
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_zadjust = self._zadjust
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theta_x = self.theta_x
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theta_y = self.theta_y
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F = _FakeGroup()
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from utils3d import _make_3d_line_info
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tileWidth = getattr(self,'_3d_tilewidth',None)
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if not tileWidth and self.categoryAxis.style!='parallel_3d': tileWidth = 1
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# Iterate over data rows.
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for rowNo in P:
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row = self._positions[rowNo]
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n = len(row)
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styleCount = len(self.lines)
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styleIdx = rowNo % styleCount
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rowStyle = self.lines[styleIdx]
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rowColor = rowStyle.strokeColor
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dash = getattr(rowStyle, 'strokeDashArray', None)
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z0 = self._calc_z0(rowNo)
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z1 = z0 + zDepth
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if hasattr(self.lines[styleIdx], 'strokeWidth'):
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strokeWidth = self.lines[styleIdx].strokeWidth
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elif hasattr(self.lines, 'strokeWidth'):
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strokeWidth = self.lines.strokeWidth
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else:
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strokeWidth = None
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# Iterate over data columns.
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if self.joinedLines:
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if n:
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x0, y0 = row[0]
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for colNo in xrange(1,n):
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x1, y1 = row[colNo]
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_make_3d_line_info( F, x0, x1, y0, y1, z0, z1,
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theta_x, theta_y,
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rowColor, fillColorShaded=None, tileWidth=tileWidth,
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strokeColor=None, strokeWidth=None, strokeDashArray=None,
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shading=0.1)
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x0, y0 = x1, y1
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if hasattr(self.lines[styleIdx], 'symbol'):
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uSymbol = self.lines[styleIdx].symbol
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elif hasattr(self.lines, 'symbol'):
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uSymbol = self.lines.symbol
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else:
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uSymbol = None
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if uSymbol:
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for colNo in xrange(n):
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x1, y1 = row[colNo]
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x1, y1 = _zadjust(x1,y1,z0)
|
|
symbol = uSymbol2Symbol(uSymbol,x1,y1,rowColor)
|
|
if symbol: F.add((2,z0,z0,x1,y1,symbol))
|
|
|
|
# Draw item labels.
|
|
for colNo in xrange(n):
|
|
x1, y1 = row[colNo]
|
|
x1, y1 = _zadjust(x1,y1,z0)
|
|
L = self._innerDrawLabel(rowNo, colNo, x1, y1)
|
|
if L: F.add((2,z0,z0,x1,y1,L))
|
|
|
|
F.sort()
|
|
g = Group()
|
|
map(lambda x,a=g.add: a(x[-1]),F.value())
|
|
return g
|
|
|
|
class VerticalLineChart(LineChart):
|
|
pass
|
|
|
|
|
|
def sample1():
|
|
drawing = Drawing(400, 200)
|
|
|
|
data = [
|
|
(13, 5, 20, 22, 37, 45, 19, 4),
|
|
(5, 20, 46, 38, 23, 21, 6, 14)
|
|
]
|
|
|
|
lc = HorizontalLineChart()
|
|
|
|
lc.x = 50
|
|
lc.y = 50
|
|
lc.height = 125
|
|
lc.width = 300
|
|
lc.data = data
|
|
lc.joinedLines = 1
|
|
lc.lines.symbol = makeMarker('FilledDiamond')
|
|
lc.lineLabelFormat = '%2.0f'
|
|
|
|
catNames = string.split('Jan Feb Mar Apr May Jun Jul Aug', ' ')
|
|
lc.categoryAxis.categoryNames = catNames
|
|
lc.categoryAxis.labels.boxAnchor = 'n'
|
|
|
|
lc.valueAxis.valueMin = 0
|
|
lc.valueAxis.valueMax = 60
|
|
lc.valueAxis.valueStep = 15
|
|
|
|
drawing.add(lc)
|
|
|
|
return drawing
|
|
|
|
|
|
class SampleHorizontalLineChart(HorizontalLineChart):
|
|
"Sample class overwriting one method to draw additional horizontal lines."
|
|
|
|
def demo(self):
|
|
"""Shows basic use of a line chart."""
|
|
|
|
drawing = Drawing(200, 100)
|
|
|
|
data = [
|
|
(13, 5, 20, 22, 37, 45, 19, 4),
|
|
(14, 10, 21, 28, 38, 46, 25, 5)
|
|
]
|
|
|
|
lc = SampleHorizontalLineChart()
|
|
|
|
lc.x = 20
|
|
lc.y = 10
|
|
lc.height = 85
|
|
lc.width = 170
|
|
lc.data = data
|
|
lc.strokeColor = colors.white
|
|
lc.fillColor = colors.HexColor(0xCCCCCC)
|
|
|
|
drawing.add(lc)
|
|
|
|
return drawing
|
|
|
|
|
|
def makeBackground(self):
|
|
g = Group()
|
|
|
|
g.add(HorizontalLineChart.makeBackground(self))
|
|
|
|
valAxis = self.valueAxis
|
|
valTickPositions = valAxis._tickValues
|
|
|
|
for y in valTickPositions:
|
|
y = valAxis.scale(y)
|
|
g.add(Line(self.x, y, self.x+self.width, y,
|
|
strokeColor = self.strokeColor))
|
|
|
|
return g
|
|
|
|
|
|
|
|
def sample1a():
|
|
drawing = Drawing(400, 200)
|
|
|
|
data = [
|
|
(13, 5, 20, 22, 37, 45, 19, 4),
|
|
(5, 20, 46, 38, 23, 21, 6, 14)
|
|
]
|
|
|
|
lc = SampleHorizontalLineChart()
|
|
|
|
lc.x = 50
|
|
lc.y = 50
|
|
lc.height = 125
|
|
lc.width = 300
|
|
lc.data = data
|
|
lc.joinedLines = 1
|
|
lc.strokeColor = colors.white
|
|
lc.fillColor = colors.HexColor(0xCCCCCC)
|
|
lc.lines.symbol = makeMarker('FilledDiamond')
|
|
lc.lineLabelFormat = '%2.0f'
|
|
|
|
catNames = string.split('Jan Feb Mar Apr May Jun Jul Aug', ' ')
|
|
lc.categoryAxis.categoryNames = catNames
|
|
lc.categoryAxis.labels.boxAnchor = 'n'
|
|
|
|
lc.valueAxis.valueMin = 0
|
|
lc.valueAxis.valueMax = 60
|
|
lc.valueAxis.valueStep = 15
|
|
|
|
drawing.add(lc)
|
|
|
|
return drawing
|
|
|
|
|
|
def sample2():
|
|
drawing = Drawing(400, 200)
|
|
|
|
data = [
|
|
(13, 5, 20, 22, 37, 45, 19, 4),
|
|
(5, 20, 46, 38, 23, 21, 6, 14)
|
|
]
|
|
|
|
lc = HorizontalLineChart()
|
|
|
|
lc.x = 50
|
|
lc.y = 50
|
|
lc.height = 125
|
|
lc.width = 300
|
|
lc.data = data
|
|
lc.joinedLines = 1
|
|
lc.lines.symbol = makeMarker('Smiley')
|
|
lc.lineLabelFormat = '%2.0f'
|
|
lc.strokeColor = colors.black
|
|
lc.fillColor = colors.lightblue
|
|
|
|
catNames = string.split('Jan Feb Mar Apr May Jun Jul Aug', ' ')
|
|
lc.categoryAxis.categoryNames = catNames
|
|
lc.categoryAxis.labels.boxAnchor = 'n'
|
|
|
|
lc.valueAxis.valueMin = 0
|
|
lc.valueAxis.valueMax = 60
|
|
lc.valueAxis.valueStep = 15
|
|
|
|
drawing.add(lc)
|
|
|
|
return drawing
|
|
|
|
|
|
def sample3():
|
|
drawing = Drawing(400, 200)
|
|
|
|
data = [
|
|
(13, 5, 20, 22, 37, 45, 19, 4),
|
|
(5, 20, 46, 38, 23, 21, 6, 14)
|
|
]
|
|
|
|
lc = HorizontalLineChart()
|
|
|
|
lc.x = 50
|
|
lc.y = 50
|
|
lc.height = 125
|
|
lc.width = 300
|
|
lc.data = data
|
|
lc.joinedLines = 1
|
|
lc.lineLabelFormat = '%2.0f'
|
|
lc.strokeColor = colors.black
|
|
|
|
lc.lines[0].symbol = makeMarker('Smiley')
|
|
lc.lines[1].symbol = NoEntry
|
|
lc.lines[0].strokeWidth = 2
|
|
lc.lines[1].strokeWidth = 4
|
|
|
|
catNames = string.split('Jan Feb Mar Apr May Jun Jul Aug', ' ')
|
|
lc.categoryAxis.categoryNames = catNames
|
|
lc.categoryAxis.labels.boxAnchor = 'n'
|
|
|
|
lc.valueAxis.valueMin = 0
|
|
lc.valueAxis.valueMax = 60
|
|
lc.valueAxis.valueStep = 15
|
|
|
|
drawing.add(lc)
|
|
|
|
return drawing
|