Package: python-reportlab Version: 1.20debian-2 Severity: important Tags: patch
Hi! When drawing a stacked 3D bar, for example... a=HorizontalBarChart3D(mydata) a.categoryAxis.style = "stacked" ...the bars are drawn in the wrong order. The bars were somewhat disaligned and the 3D effect was making everything worse rather than better. Looking at how they're drawn, I found out that the solution is very simple: just reverse the order it draws the bars. In the makeBars function of the abstract class BarChart3D it's just need to change the line 558 from... for t in fg.value(): ...to... fg_value=fg.value() fg_value.reverse() for t in fg_value: I'm attaching the modified file from python2.3-reportlab. Cya, Felipe. -- System Information: Debian Release: testing/unstable APT prefers unstable APT policy: (900, 'unstable') Architecture: i386 (i686) Shell: /bin/sh linked to /bin/bash Kernel: Linux 2.6.15-ck1 Locale: LANG=pt_BR.UTF-8, LC_CTYPE=pt_BR.UTF-8 (charmap=UTF-8) (ignored: LC_ALL set to pt_BR.UTF-8) Versions of packages python-reportlab depends on: ii python 2.3.5-5 An interactive high-level object-o ii python-xml 0.8.4-1 XML tools for Python [dummy packag ii python2.3-reportlab 1.20debian-2 ReportLab library to create PDF do Versions of packages python-reportlab recommends: ii python-imaging 1.1.5-4 Python Imaging Library -- no debconf information
#Copyright ReportLab Europe Ltd. 2000-2004 #see license.txt for license details #history http://www.reportlab.co.uk/cgi-bin/viewcvs.cgi/public/reportlab/trunk/reportlab/graphics/charts/barcharts.py """This module defines a variety of Bar Chart components. The basic flavors are Side-by-side, available in horizontal and vertical versions. Stacked and percentile bar charts to follow... """ __version__=''' $Id: barcharts.py 2385 2004-06-17 15:26:05Z rgbecker $ ''' import string, copy from types import FunctionType, StringType from reportlab.lib import colors from reportlab.lib.validators import isNumber, isColor, isColorOrNone, isListOfStrings, SequenceOf, isBoolean, isNoneOrShape from reportlab.lib.formatters import Formatter from reportlab.lib.attrmap import AttrMap, AttrMapValue from reportlab.pdfbase.pdfmetrics import stringWidth from reportlab.graphics.widgetbase import Widget, TypedPropertyCollection, PropHolder from reportlab.graphics.shapes import Line, Rect, Group, Drawing, NotImplementedError from reportlab.graphics.charts.axes import XCategoryAxis, YValueAxis from reportlab.graphics.charts.axes import YCategoryAxis, XValueAxis from reportlab.graphics.charts.textlabels import BarChartLabel, NA_Label, NoneOrInstanceOfNA_Label from reportlab.graphics.charts.areas import PlotArea class BarChartProperties(PropHolder): _attrMap = AttrMap( strokeColor = AttrMapValue(isColorOrNone, desc='Color of the bar border.'), fillColor = AttrMapValue(isColorOrNone, desc='Color of the bar interior area.'), strokeWidth = AttrMapValue(isNumber, desc='Width of the bar border.'), symbol = AttrMapValue(None, desc='A widget to be used instead of a normal bar.'), ) def __init__(self): self.strokeColor = None self.fillColor = colors.blue self.strokeWidth = 0.5 self.symbol = None # Bar chart classes. class BarChart(PlotArea): "Abstract base class, unusable by itself." _attrMap = AttrMap(BASE=PlotArea, useAbsolute = AttrMapValue(isNumber, desc='Flag to use absolute spacing values.'), barWidth = AttrMapValue(isNumber, desc='The width of an individual bar.'), groupSpacing = AttrMapValue(isNumber, desc='Width between groups of bars.'), barSpacing = AttrMapValue(isNumber, desc='Width between individual bars.'), bars = AttrMapValue(None, desc='Handle of the individual bars.'), valueAxis = AttrMapValue(None, desc='Handle of the value axis.'), categoryAxis = AttrMapValue(None, desc='Handle of the category axis.'), data = AttrMapValue(None, desc='Data to be plotted, list of (lists of) numbers.'), barLabels = AttrMapValue(None, desc='Handle to the list of bar labels.'), barLabelFormat = AttrMapValue(None, desc='Formatting string or function used for bar labels.'), barLabelCallOut = AttrMapValue(None, desc='Callout function(label)\nlabel._callOutInfo = (self,g,rowNo,colNo,x,y,width,height,x00,y00,x0,y0)'), barLabelArray = AttrMapValue(None, desc='explicit array of bar label values, must match size of data if present.'), reversePlotOrder = AttrMapValue(isBoolean, desc='If true, reverse common category plot order.'), naLabel = AttrMapValue(NoneOrInstanceOfNA_Label, desc='Label to use for N/A values.'), annotations = AttrMapValue(None, desc='list of callables, will be called with self, xscale, yscale.'), ) def __init__(self): assert self.__class__.__name__ not in ('BarChart','BarChart3D'), 'Abstract Class %s Instantiated' % self.__class__.__name__ if self._flipXY: self.categoryAxis = YCategoryAxis() self.valueAxis = XValueAxis() else: self.categoryAxis = XCategoryAxis() self.valueAxis = YValueAxis() PlotArea.__init__(self) self.barSpacing = 0 self.reversePlotOrder = 0 # this defines two series of 3 points. Just an example. self.data = [(100,110,120,130), (70, 80, 85, 90)] # control bar spacing. is useAbsolute = 1 then # the next parameters are in points; otherwise # they are 'proportions' and are normalized to # fit the available space. Half a barSpacing # is allocated at the beginning and end of the # chart. self.useAbsolute = 0 #- not done yet self.barWidth = 10 self.groupSpacing = 5 self.barSpacing = 0 self.barLabels = TypedPropertyCollection(BarChartLabel) self.barLabels.boxAnchor = 'c' self.barLabels.textAnchor = 'middle' self.barLabelFormat = None self.barLabelArray = 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.barLabels.nudge = 0 # if you have multiple series, by default they butt # together. # we really need some well-designed default lists of # colors e.g. from Tufte. These will be used in a # cycle to set the fill color of each series. self.bars = TypedPropertyCollection(BarChartProperties) ## self.bars.symbol = None self.bars.strokeWidth = 1 self.bars.strokeColor = colors.black self.bars[0].fillColor = colors.red self.bars[1].fillColor = colors.green self.bars[2].fillColor = colors.blue self.naLabel = None#NA_Label() def demo(self): """Shows basic use of a bar chart""" if self.__class__.__name__=='BarChart': raise NotImplementedError, 'Abstract Class BarChart has no demo' drawing = Drawing(200, 100) bc = self.__class__() drawing.add(bc) return drawing def _getConfigureData(self): cA = self.categoryAxis data = self.data if cA.style not in ('parallel','parallel_3d'): _data = data data = max(map(len,_data))*[0] for d in _data: for i in xrange(len(d)): data[i] = data[i] + (d[i] or 0) data = list(_data) + [data] self._configureData = data def _getMinMax(self): '''Attempt to return the data range''' self._getConfigureData() self.valueAxis._setRange(self._configureData) return self.valueAxis._valueMin, self.valueAxis._valueMax def _drawBegin(self,org,length): '''Position and configure value axis, return crossing value''' vA = self.valueAxis vA.setPosition(self.x, self.y, length) self._getConfigureData() vA.configure(self._configureData) # if zero is in chart, put the other axis there, otherwise use low crossesAt = vA.scale(0) if crossesAt > org+length or crossesAt<org: crossesAt = org return crossesAt def _drawFinish(self): '''finalize the drawing of a barchart''' cA = self.categoryAxis vA = self.valueAxis cA.configure(self._configureData) self.calcBarPositions() g = Group() g.add(self.makeBackground()) # ensure any axes have correct spacing set # for grids. It sucks that we have to do # this here. if self._flipXY == 0: vA.gridStart = cA._x vA.gridEnd = cA._x+cA._length cA.gridStart = vA._y cA.gridEnd = vA._y+vA._length else: cA.gridStart = vA._x cA.gridEnd = vA._x+vA._length vA.gridStart = cA._y vA.gridEnd = cA._y+cA._length cA.makeGrid(g,parent=self) vA.makeGrid(g,parent=self) g.add(self.makeBars()) g.add(cA) g.add(vA) for a in getattr(self,'annotations',()): g.add(a(self,cA.scale,vA.scale)) del self._configureData return g def calcBarPositions(self): """Works out where they go. default vertical. Sets an attribute _barPositions which is a list of lists of (x, y, width, height) matching the data. """ flipXY = self._flipXY if flipXY: org = self.y else: org = self.x cA = self.categoryAxis cScale = cA.scale data = self.data seriesCount = self._seriesCount = len(data) self._rowLength = rowLength = max(map(len,data)) groupSpacing, barSpacing, barWidth = self.groupSpacing, self.barSpacing, self.barWidth style = self.categoryAxis.style if style=='parallel': groupWidth = groupSpacing+(seriesCount*barWidth)+(seriesCount-1)*barSpacing bGap = barWidth+barSpacing else: accum = rowLength*[0] groupWidth = groupSpacing+barWidth bGap = 0 self._groupWidth = groupWidth useAbsolute = self.useAbsolute if useAbsolute: # bar dimensions are absolute normFactor = 1.0 else: # bar dimensions are normalized to fit. How wide # notionally is one group of bars? availWidth = cScale(0)[1] normFactor = availWidth/float(groupWidth) if self.debug: print '%d series, %d points per series' % (seriesCount, self._rowLength) print 'width = %d group + (%d bars * %d barWidth) + (%d gaps * %d interBar) = %d total' % ( groupSpacing, seriesCount, barWidth, seriesCount-1, barSpacing, groupWidth) # 'Baseline' correction... vA = self.valueAxis vScale = vA.scale vm, vM = vA._valueMin, vA._valueMax if vm <= 0 <= vM: baseLine = vScale(0) elif 0 < vm: baseLine = vScale(vm) elif vM < 0: baseLine = vScale(vM) self._baseLine = baseLine COLUMNS = range(max(map(len,data))) if useAbsolute: _cScale = cA._scale self._normFactor = normFactor width = self.barWidth*normFactor self._barPositions = [] reversePlotOrder = self.reversePlotOrder for rowNo in range(seriesCount): barRow = [] if reversePlotOrder: xVal = seriesCount-1 - rowNo else: xVal = rowNo xVal = 0.5*groupSpacing+xVal*bGap for colNo in COLUMNS: datum = data[rowNo][colNo] # Ufff... if useAbsolute: x = groupWidth*_cScale(colNo) + xVal + org else: (g, gW) = cScale(colNo) x = g + normFactor*xVal if datum is None: height = None y = baseLine else: if style not in ('parallel','parallel_3d'): y = vScale(accum[colNo]) if y<baseLine: y = baseLine accum[colNo] = accum[colNo] + datum datum = accum[colNo] else: y = baseLine height = vScale(datum) - y if -1e-8<height<=1e-8: height = 1e-8 if datum<-1e-8: height = -1e-8 barRow.append(flipXY and (y,x,height,width) or (x, y, width, height)) self._barPositions.append(barRow) def _getLabelText(self, rowNo, colNo): '''return formatted label text''' labelFmt = self.barLabelFormat if labelFmt is None: labelText = None elif labelFmt == 'values': labelText = self.barLabelArray[rowNo][colNo] elif type(labelFmt) is StringType: labelText = labelFmt % self.data[rowNo][colNo] elif callable(labelFmt): labelText = labelFmt(self.data[rowNo][colNo]) else: msg = "Unknown formatter type %s, expected string or function" % labelFmt raise Exception, msg return labelText def _labelXY(self,label,x,y,width,height): 'Compute x, y for a label' if self._flipXY: return x + width + (width>=0 and 1 or -1) * label.nudge, y + 0.5*height else: return x + 0.5*width, y + height + (height>=0 and 1 or -1) * label.nudge def _addBarLabel(self, g, rowNo, colNo, x, y, width, height): text = self._getLabelText(rowNo,colNo) if text: self._addLabel(text, self.barLabels[(rowNo, colNo)], g, rowNo, colNo, x, y, width, height) def _addNABarLabel(self, g, rowNo, colNo, x, y, width, height): na = self.naLabel if na and na.text: na = copy.copy(na) v = self.valueAxis._valueMax<=0 and -1e-8 or 1e-8 if width is None: width = v if height is None: height = v self._addLabel(na.text, na, g, rowNo, colNo, x, y, width, height) def _addLabel(self, text, label, g, rowNo, colNo, x, y, width, height): if label.visible: labelWidth = stringWidth(text, label.fontName, label.fontSize) x0, y0 = self._labelXY(label,x,y,width,height) flipXY = self._flipXY if flipXY: pm = width else: pm = height label._pmv = pm #the plus minus val fixedEnd = getattr(label,'fixedEnd', None) if fixedEnd is not None: v = fixedEnd._getValue(self,pm) x00, y00 = x0, y0 if flipXY: x0 = v else: y0 = v else: if flipXY: x00 = x0 y00 = y+height/2.0 else: x00 = x+width/2.0 y00 = y0 fixedStart = getattr(label,'fixedStart', None) if fixedStart is not None: v = fixedStart._getValue(self,pm) if flipXY: x00 = v else: y00 = v if pm<0: if flipXY: dx = -2*label.dx dy = 0 else: dy = -2*label.dy dx = 0 else: dy = dx = 0 label.setOrigin(x0+dx, y0+dy) label.setText(text) sC, sW = label.lineStrokeColor, label.lineStrokeWidth if sC and sW: g.insert(0,Line(x00,y00,x0,y0, strokeColor=sC, strokeWidth=sW)) g.add(label) alx = getattr(self,'barLabelCallOut',None) if alx: label._callOutInfo = (self,g,rowNo,colNo,x,y,width,height,x00,y00,x0,y0) alx(label) del label._callOutInfo def _makeBar(self,g,x,y,width,height,rowNo,style): r = Rect(x, y, width, height) r.strokeWidth = style.strokeWidth r.fillColor = style.fillColor r.strokeColor = style.strokeColor g.add(r) def _makeBars(self,g,lg): lenData = len(self.data) bars = self.bars for rowNo in range(lenData): row = self._barPositions[rowNo] styleCount = len(bars) styleIdx = rowNo % styleCount rowStyle = bars[styleIdx] for colNo in range(len(row)): barPos = row[colNo] style = bars.has_key((styleIdx,colNo)) and bars[(styleIdx,colNo)] or rowStyle (x, y, width, height) = barPos if None in (width,height): self._addNABarLabel(lg,rowNo,colNo,x,y,width,height) continue # Draw a rectangular symbol for each data item, # or a normal colored rectangle. symbol = None if hasattr(style, 'symbol'): symbol = copy.deepcopy(style.symbol) elif hasattr(self.bars, 'symbol'): symbol = self.bars.symbol if symbol: symbol.x = x symbol.y = y symbol.width = width symbol.height = height g.add(symbol) elif abs(width)>1e-7 and abs(height)>=1e-7 and (style.fillColor is not None or style.strokeColor is not None): self._makeBar(g,x,y,width,height,rowNo,style) self._addBarLabel(lg,rowNo,colNo,x,y,width,height) def makeBars(self): g = Group() lg = Group() self._makeBars(g,lg) g.add(lg) return g def _desiredCategoryAxisLength(self): '''for dynamically computing the desired category axis length''' style = self.categoryAxis.style data = self.data n = len(data) m = max(map(len,data)) if style=='parallel': groupWidth = (n-1)*self.barSpacing+n*self.barWidth else: groupWidth = self.barWidth return m*(self.groupSpacing+groupWidth) def draw(self): cA, vA = self.categoryAxis, self.valueAxis if vA: ovAjA, vA.joinAxis = vA.joinAxis, cA if cA: ocAjA, cA.joinAxis = cA.joinAxis, vA if self._flipXY: cA.setPosition(self._drawBegin(self.x,self.width), self.y, self.height) else: cA.setPosition(self.x, self._drawBegin(self.y,self.height), self.width) return self._drawFinish() class VerticalBarChart(BarChart): "Vertical bar chart with multiple side-by-side bars." _flipXY = 0 class HorizontalBarChart(BarChart): "Horizontal bar chart with multiple side-by-side bars." _flipXY = 1 class _FakeGroup: def __init__(self, cmp=None): self._data = [] self._cmp = cmp def add(self,what): self._data.append(what) def value(self): return self._data def sort(self): self._data.sort(self._cmp) class BarChart3D(BarChart): _attrMap = AttrMap(BASE=BarChart, theta_x = AttrMapValue(isNumber, desc='dx/dz'), theta_y = AttrMapValue(isNumber, desc='dy/dz'), zDepth = AttrMapValue(isNumber, desc='depth of an individual series'), zSpace = AttrMapValue(isNumber, desc='z gap around series'), ) theta_x = .5 theta_y = .5 zDepth = None zSpace = None def calcBarPositions(self): BarChart.calcBarPositions(self) seriesCount = self._seriesCount zDepth = self.zDepth if zDepth is None: zDepth = self.barWidth zSpace = self.zSpace if zSpace is None: zSpace = self.barSpacing if self.categoryAxis.style=='parallel_3d': _3d_depth = seriesCount*zDepth+(seriesCount+1)*zSpace else: _3d_depth = zDepth + 2*zSpace _3d_depth *= self._normFactor self._3d_dx = self.theta_x*_3d_depth self._3d_dy = self.theta_y*_3d_depth def _calc_z0(self,rowNo): zDepth = self.zDepth if zDepth is None: zDepth = self.barWidth zSpace = self.zSpace if zSpace is None: zSpace = self.barSpacing if self.categoryAxis.style=='parallel_3d': z0 = self._normFactor*(rowNo*(zDepth+zSpace)+zSpace) else: z0 = self._normFactor*zSpace return z0 def _makeBar(self,g,x,y,width,height,rowNo,style): zDepth = self.zDepth if zDepth is None: zDepth = self.barWidth zSpace = self.zSpace if zSpace is None: zSpace = self.barSpacing z0 = self._calc_z0(rowNo) z1 = z0 + zDepth*self._normFactor if width<0: x += width width = -width x += z0*self.theta_x y += z0*self.theta_y if self._flipXY: y += zSpace else: x += zSpace g.add((0,z0,z1,x,y,width,height,rowNo,style)) def _addBarLabel(self, g, rowNo, colNo, x, y, width, height): z0 = self._calc_z0(rowNo) zSpace = self.zSpace if zSpace is None: zSpace = self.barSpacing z1 = z0 x += z0*self.theta_x y += z0*self.theta_y if self._flipXY: y += zSpace else: x += zSpace g.add((1,z0,z1,x,y,width,height,rowNo,colNo)) def makeBars(self): from utils3d import _draw_3d_bar fg = _FakeGroup(cmp=self._cmpZ) self._makeBars(fg,fg) fg.sort() g = Group() theta_x = self.theta_x theta_y = self.theta_y fg_value=fg.value() fg_value.reverse() for t in fg_value: if t[0]==1: z0,z1,x,y,width,height,rowNo,colNo = t[1:] BarChart._addBarLabel(self,g,rowNo,colNo,x,y,width,height) elif t[0]==0: z0,z1,x,y,width,height,rowNo,style = t[1:] dz = z1 - z0 _draw_3d_bar(g, x, x+width, y, y+height, dz*theta_x, dz*theta_y, fillColor=style.fillColor, fillColorShaded=None, strokeColor=style.strokeColor, strokeWidth=style.strokeWidth, shading=0.45) return g class VerticalBarChart3D(BarChart3D,VerticalBarChart): _cmpZ=lambda self,a,b:cmp((-a[1],a[3],a[0],-a[4]),(-b[1],b[3],b[0],-b[4])) class HorizontalBarChart3D(BarChart3D,HorizontalBarChart): _cmpZ = lambda self,a,b: cmp((-a[1],a[4],a[0],-a[3]),(-b[1],b[4],b[0],-b[3])) #t, z0, z1, x, y = a[:5] # Vertical samples. def sampleV0a(): "A slightly pathologic bar chart with only TWO data items." drawing = Drawing(400, 200) data = [(13, 20)] bc = VerticalBarChart() bc.x = 50 bc.y = 50 bc.height = 125 bc.width = 300 bc.data = data bc.strokeColor = colors.black bc.valueAxis.valueMin = 0 bc.valueAxis.valueMax = 60 bc.valueAxis.valueStep = 15 bc.categoryAxis.labels.boxAnchor = 'ne' bc.categoryAxis.labels.dx = 8 bc.categoryAxis.labels.dy = -2 bc.categoryAxis.labels.angle = 30 bc.categoryAxis.categoryNames = ['Ying', 'Yang'] drawing.add(bc) return drawing def sampleV0b(): "A pathologic bar chart with only ONE data item." drawing = Drawing(400, 200) data = [(42,)] bc = VerticalBarChart() bc.x = 50 bc.y = 50 bc.height = 125 bc.width = 300 bc.data = data bc.strokeColor = colors.black bc.valueAxis.valueMin = 0 bc.valueAxis.valueMax = 50 bc.valueAxis.valueStep = 15 bc.categoryAxis.labels.boxAnchor = 'ne' bc.categoryAxis.labels.dx = 8 bc.categoryAxis.labels.dy = -2 bc.categoryAxis.labels.angle = 30 bc.categoryAxis.categoryNames = ['Jan-99'] drawing.add(bc) return drawing def sampleV0c(): "A really pathologic bar chart with NO data items at all!" drawing = Drawing(400, 200) data = [()] bc = VerticalBarChart() bc.x = 50 bc.y = 50 bc.height = 125 bc.width = 300 bc.data = data bc.strokeColor = colors.black bc.valueAxis.valueMin = 0 bc.valueAxis.valueMax = 60 bc.valueAxis.valueStep = 15 bc.categoryAxis.labels.boxAnchor = 'ne' bc.categoryAxis.labels.dx = 8 bc.categoryAxis.labels.dy = -2 bc.categoryAxis.categoryNames = [] drawing.add(bc) return drawing def sampleV1(): "Sample of multi-series bar chart." drawing = Drawing(400, 200) data = [ (13, 5, 20, 22, 37, 45, 19, 4), (14, 6, 21, 23, 38, 46, 20, 5) ] bc = VerticalBarChart() bc.x = 50 bc.y = 50 bc.height = 125 bc.width = 300 bc.data = data bc.strokeColor = colors.black bc.valueAxis.valueMin = 0 bc.valueAxis.valueMax = 60 bc.valueAxis.valueStep = 15 bc.categoryAxis.labels.boxAnchor = 'ne' bc.categoryAxis.labels.dx = 8 bc.categoryAxis.labels.dy = -2 bc.categoryAxis.labels.angle = 30 catNames = string.split('Jan Feb Mar Apr May Jun Jul Aug', ' ') catNames = map(lambda n:n+'-99', catNames) bc.categoryAxis.categoryNames = catNames drawing.add(bc) return drawing def sampleV2a(): "Sample of multi-series bar chart." data = [(2.4, -5.7, 2, 5, 9.2), (0.6, -4.9, -3, 4, 6.8) ] labels = ("Q3 2000", "Year to Date", "12 months", "Annualised\n3 years", "Since 07.10.99") drawing = Drawing(400, 200) bc = VerticalBarChart() bc.x = 50 bc.y = 50 bc.height = 120 bc.width = 300 bc.data = data bc.barSpacing = 0 bc.groupSpacing = 10 bc.barWidth = 10 bc.valueAxis.valueMin = -15 bc.valueAxis.valueMax = +15 bc.valueAxis.valueStep = 5 bc.valueAxis.labels.fontName = 'Helvetica' bc.valueAxis.labels.fontSize = 8 bc.valueAxis.labels.boxAnchor = 'n' # irrelevant (becomes 'c') bc.valueAxis.labels.textAnchor = 'middle' bc.categoryAxis.categoryNames = labels bc.categoryAxis.labels.fontName = 'Helvetica' bc.categoryAxis.labels.fontSize = 8 bc.categoryAxis.labels.dy = -60 drawing.add(bc) return drawing def sampleV2b(): "Sample of multi-series bar chart." data = [(2.4, -5.7, 2, 5, 9.2), (0.6, -4.9, -3, 4, 6.8) ] labels = ("Q3 2000", "Year to Date", "12 months", "Annualised\n3 years", "Since 07.10.99") drawing = Drawing(400, 200) bc = VerticalBarChart() bc.x = 50 bc.y = 50 bc.height = 120 bc.width = 300 bc.data = data bc.barSpacing = 5 bc.groupSpacing = 10 bc.barWidth = 10 bc.valueAxis.valueMin = -15 bc.valueAxis.valueMax = +15 bc.valueAxis.valueStep = 5 bc.valueAxis.labels.fontName = 'Helvetica' bc.valueAxis.labels.fontSize = 8 bc.valueAxis.labels.boxAnchor = 'n' # irrelevant (becomes 'c') bc.valueAxis.labels.textAnchor = 'middle' bc.categoryAxis.categoryNames = labels bc.categoryAxis.labels.fontName = 'Helvetica' bc.categoryAxis.labels.fontSize = 8 bc.categoryAxis.labels.dy = -60 drawing.add(bc) return drawing def sampleV2c(): "Sample of multi-series bar chart." data = [(2.4, -5.7, 2, 5, 9.99), (0.6, -4.9, -3, 4, 9.99) ] labels = ("Q3 2000", "Year to Date", "12 months", "Annualised\n3 years", "Since 07.10.99") drawing = Drawing(400, 200) bc = VerticalBarChart() bc.x = 50 bc.y = 50 bc.height = 120 bc.width = 300 bc.data = data bc.barSpacing = 2 bc.groupSpacing = 10 bc.barWidth = 10 bc.valueAxis.valueMin = -15 bc.valueAxis.valueMax = +15 bc.valueAxis.valueStep = 5 bc.valueAxis.labels.fontName = 'Helvetica' bc.valueAxis.labels.fontSize = 8 bc.categoryAxis.categoryNames = labels bc.categoryAxis.labels.fontName = 'Helvetica' bc.categoryAxis.labels.fontSize = 8 bc.valueAxis.labels.boxAnchor = 'n' bc.valueAxis.labels.textAnchor = 'middle' bc.categoryAxis.labels.dy = -60 bc.barLabels.nudge = 10 bc.barLabelFormat = '%0.2f' bc.barLabels.dx = 0 bc.barLabels.dy = 0 bc.barLabels.boxAnchor = 'n' # irrelevant (becomes 'c') bc.barLabels.fontName = 'Helvetica' bc.barLabels.fontSize = 6 drawing.add(bc) return drawing def sampleV3(): "Faked horizontal bar chart using a vertical real one (deprecated)." names = ("UK Equities", "US Equities", "European Equities", "Japanese Equities", "Pacific (ex Japan) Equities", "Emerging Markets Equities", "UK Bonds", "Overseas Bonds", "UK Index-Linked", "Cash") series1 = (-1.5, 0.3, 0.5, 1.0, 0.8, 0.7, 0.4, 0.1, 1.0, 0.3) series2 = (0.0, 0.33, 0.55, 1.1, 0.88, 0.77, 0.44, 0.11, 1.10, 0.33) assert len(names) == len(series1), "bad data" assert len(names) == len(series2), "bad data" drawing = Drawing(400, 200) bc = VerticalBarChart() bc.x = 0 bc.y = 0 bc.height = 100 bc.width = 150 bc.data = (series1,) bc.bars.fillColor = colors.green bc.barLabelFormat = '%0.2f' bc.barLabels.dx = 0 bc.barLabels.dy = 0 bc.barLabels.boxAnchor = 'w' # irrelevant (becomes 'c') bc.barLabels.angle = 90 bc.barLabels.fontName = 'Helvetica' bc.barLabels.fontSize = 6 bc.barLabels.nudge = 10 bc.valueAxis.visible = 0 bc.valueAxis.valueMin = -2 bc.valueAxis.valueMax = +2 bc.valueAxis.valueStep = 1 bc.categoryAxis.tickUp = 0 bc.categoryAxis.tickDown = 0 bc.categoryAxis.categoryNames = names bc.categoryAxis.labels.angle = 90 bc.categoryAxis.labels.boxAnchor = 'w' bc.categoryAxis.labels.dx = 0 bc.categoryAxis.labels.dy = -125 bc.categoryAxis.labels.fontName = 'Helvetica' bc.categoryAxis.labels.fontSize = 6 g = Group(bc) g.translate(100, 175) g.rotate(-90) drawing.add(g) return drawing def sampleV4a(): "A bar chart showing value axis region starting at *exactly* zero." drawing = Drawing(400, 200) data = [(13, 20)] bc = VerticalBarChart() bc.x = 50 bc.y = 50 bc.height = 125 bc.width = 300 bc.data = data bc.strokeColor = colors.black bc.valueAxis.valueMin = 0 bc.valueAxis.valueMax = 60 bc.valueAxis.valueStep = 15 bc.categoryAxis.labels.boxAnchor = 'n' bc.categoryAxis.labels.dy = -5 bc.categoryAxis.categoryNames = ['Ying', 'Yang'] drawing.add(bc) return drawing def sampleV4b(): "A bar chart showing value axis region starting *below* zero." drawing = Drawing(400, 200) data = [(13, 20)] bc = VerticalBarChart() bc.x = 50 bc.y = 50 bc.height = 125 bc.width = 300 bc.data = data bc.strokeColor = colors.black bc.valueAxis.valueMin = -10 bc.valueAxis.valueMax = 60 bc.valueAxis.valueStep = 15 bc.categoryAxis.labels.boxAnchor = 'n' bc.categoryAxis.labels.dy = -5 bc.categoryAxis.categoryNames = ['Ying', 'Yang'] drawing.add(bc) return drawing def sampleV4c(): "A bar chart showing value axis region staring *above* zero." drawing = Drawing(400, 200) data = [(13, 20)] bc = VerticalBarChart() bc.x = 50 bc.y = 50 bc.height = 125 bc.width = 300 bc.data = data bc.strokeColor = colors.black bc.valueAxis.valueMin = 10 bc.valueAxis.valueMax = 60 bc.valueAxis.valueStep = 15 bc.categoryAxis.labels.boxAnchor = 'n' bc.categoryAxis.labels.dy = -5 bc.categoryAxis.categoryNames = ['Ying', 'Yang'] drawing.add(bc) return drawing def sampleV4d(): "A bar chart showing value axis region entirely *below* zero." drawing = Drawing(400, 200) data = [(-13, -20)] bc = VerticalBarChart() bc.x = 50 bc.y = 50 bc.height = 125 bc.width = 300 bc.data = data bc.strokeColor = colors.black bc.valueAxis.valueMin = -30 bc.valueAxis.valueMax = -10 bc.valueAxis.valueStep = 15 bc.categoryAxis.labels.boxAnchor = 'n' bc.categoryAxis.labels.dy = -5 bc.categoryAxis.categoryNames = ['Ying', 'Yang'] drawing.add(bc) return drawing ### ##dataSample5 = [(10, 20), (20, 30), (30, 40), (40, 50), (50, 60)] ##dataSample5 = [(10, 60), (20, 50), (30, 40), (40, 30), (50, 20)] dataSample5 = [(10, 60), (20, 50), (30, 40), (40, 30)] def sampleV5a(): "A simple bar chart with no expressed spacing attributes." drawing = Drawing(400, 200) data = dataSample5 bc = VerticalBarChart() bc.x = 50 bc.y = 50 bc.height = 125 bc.width = 300 bc.data = data bc.strokeColor = colors.black bc.valueAxis.valueMin = 0 bc.valueAxis.valueMax = 60 bc.valueAxis.valueStep = 15 bc.categoryAxis.labels.boxAnchor = 'n' bc.categoryAxis.labels.dy = -5 bc.categoryAxis.categoryNames = ['Ying', 'Yang'] drawing.add(bc) return drawing def sampleV5b(): "A simple bar chart with proportional spacing." drawing = Drawing(400, 200) data = dataSample5 bc = VerticalBarChart() bc.x = 50 bc.y = 50 bc.height = 125 bc.width = 300 bc.data = data bc.strokeColor = colors.black bc.useAbsolute = 0 bc.barWidth = 40 bc.groupSpacing = 20 bc.barSpacing = 10 bc.valueAxis.valueMin = 0 bc.valueAxis.valueMax = 60 bc.valueAxis.valueStep = 15 bc.categoryAxis.labels.boxAnchor = 'n' bc.categoryAxis.labels.dy = -5 bc.categoryAxis.categoryNames = ['Ying', 'Yang'] drawing.add(bc) return drawing def sampleV5c1(): "Make sampe simple bar chart but with absolute spacing." drawing = Drawing(400, 200) data = dataSample5 bc = VerticalBarChart() bc.x = 50 bc.y = 50 bc.height = 125 bc.width = 300 bc.data = data bc.strokeColor = colors.black bc.useAbsolute = 1 bc.barWidth = 40 bc.groupSpacing = 0 bc.barSpacing = 0 bc.valueAxis.valueMin = 0 bc.valueAxis.valueMax = 60 bc.valueAxis.valueStep = 15 bc.categoryAxis.labels.boxAnchor = 'n' bc.categoryAxis.labels.dy = -5 bc.categoryAxis.categoryNames = ['Ying', 'Yang'] drawing.add(bc) return drawing def sampleV5c2(): "Make sampe simple bar chart but with absolute spacing." drawing = Drawing(400, 200) data = dataSample5 bc = VerticalBarChart() bc.x = 50 bc.y = 50 bc.height = 125 bc.width = 300 bc.data = data bc.strokeColor = colors.black bc.useAbsolute = 1 bc.barWidth = 40 bc.groupSpacing = 20 bc.barSpacing = 0 bc.valueAxis.valueMin = 0 bc.valueAxis.valueMax = 60 bc.valueAxis.valueStep = 15 bc.categoryAxis.labels.boxAnchor = 'n' bc.categoryAxis.labels.dy = -5 bc.categoryAxis.categoryNames = ['Ying', 'Yang'] drawing.add(bc) return drawing def sampleV5c3(): "Make sampe simple bar chart but with absolute spacing." drawing = Drawing(400, 200) data = dataSample5 bc = VerticalBarChart() bc.x = 50 bc.y = 50 bc.height = 125 bc.width = 300 bc.data = data bc.strokeColor = colors.black bc.useAbsolute = 1 bc.barWidth = 40 bc.groupSpacing = 0 bc.barSpacing = 10 bc.valueAxis.valueMin = 0 bc.valueAxis.valueMax = 60 bc.valueAxis.valueStep = 15 bc.categoryAxis.labels.boxAnchor = 'n' bc.categoryAxis.labels.dy = -5 bc.categoryAxis.categoryNames = ['Ying', 'Yang'] drawing.add(bc) return drawing def sampleV5c4(): "Make sampe simple bar chart but with absolute spacing." drawing = Drawing(400, 200) data = dataSample5 bc = VerticalBarChart() bc.x = 50 bc.y = 50 bc.height = 125 bc.width = 300 bc.data = data bc.strokeColor = colors.black bc.useAbsolute = 1 bc.barWidth = 40 bc.groupSpacing = 20 bc.barSpacing = 10 bc.valueAxis.valueMin = 0 bc.valueAxis.valueMax = 60 bc.valueAxis.valueStep = 15 bc.categoryAxis.labels.boxAnchor = 'n' bc.categoryAxis.labels.dy = -5 bc.categoryAxis.categoryNames = ['Ying', 'Yang'] drawing.add(bc) return drawing # Horizontal samples def sampleH0a(): "Make a slightly pathologic bar chart with only TWO data items." drawing = Drawing(400, 200) data = [(13, 20)] bc = HorizontalBarChart() bc.x = 50 bc.y = 50 bc.height = 125 bc.width = 300 bc.data = data bc.strokeColor = colors.black bc.valueAxis.valueMin = 0 bc.valueAxis.valueMax = 60 bc.valueAxis.valueStep = 15 bc.categoryAxis.labels.boxAnchor = 'se' bc.categoryAxis.labels.angle = 30 bc.categoryAxis.categoryNames = ['Ying', 'Yang'] drawing.add(bc) return drawing def sampleH0b(): "Make a pathologic bar chart with only ONE data item." drawing = Drawing(400, 200) data = [(42,)] bc = HorizontalBarChart() bc.x = 50 bc.y = 50 bc.height = 125 bc.width = 300 bc.data = data bc.strokeColor = colors.black bc.valueAxis.valueMin = 0 bc.valueAxis.valueMax = 50 bc.valueAxis.valueStep = 15 bc.categoryAxis.labels.boxAnchor = 'se' bc.categoryAxis.labels.angle = 30 bc.categoryAxis.categoryNames = ['Jan-99'] drawing.add(bc) return drawing def sampleH0c(): "Make a really pathologic bar chart with NO data items at all!" drawing = Drawing(400, 200) data = [()] bc = HorizontalBarChart() bc.x = 50 bc.y = 50 bc.height = 125 bc.width = 300 bc.data = data bc.strokeColor = colors.black bc.valueAxis.valueMin = 0 bc.valueAxis.valueMax = 60 bc.valueAxis.valueStep = 15 bc.categoryAxis.labels.boxAnchor = 'se' bc.categoryAxis.labels.angle = 30 bc.categoryAxis.categoryNames = [] drawing.add(bc) return drawing def sampleH1(): "Sample of multi-series bar chart." drawing = Drawing(400, 200) data = [ (13, 5, 20, 22, 37, 45, 19, 4), (14, 6, 21, 23, 38, 46, 20, 5) ] bc = HorizontalBarChart() bc.x = 50 bc.y = 50 bc.height = 125 bc.width = 300 bc.data = data bc.strokeColor = colors.black bc.valueAxis.valueMin = 0 bc.valueAxis.valueMax = 60 bc.valueAxis.valueStep = 15 bc.categoryAxis.labels.boxAnchor = 'e' catNames = string.split('Jan Feb Mar Apr May Jun Jul Aug', ' ') catNames = map(lambda n:n+'-99', catNames) bc.categoryAxis.categoryNames = catNames drawing.add(bc, 'barchart') return drawing def sampleH2a(): "Sample of multi-series bar chart." data = [(2.4, -5.7, 2, 5, 9.2), (0.6, -4.9, -3, 4, 6.8) ] labels = ("Q3 2000", "Year to Date", "12 months", "Annualised\n3 years", "Since 07.10.99") drawing = Drawing(400, 200) bc = HorizontalBarChart() bc.x = 80 bc.y = 50 bc.height = 120 bc.width = 300 bc.data = data bc.barSpacing = 0 bc.groupSpacing = 10 bc.barWidth = 10 bc.valueAxis.valueMin = -15 bc.valueAxis.valueMax = +15 bc.valueAxis.valueStep = 5 bc.valueAxis.labels.fontName = 'Helvetica' bc.valueAxis.labels.fontSize = 8 bc.valueAxis.labels.boxAnchor = 'n' # irrelevant (becomes 'c') bc.valueAxis.labels.textAnchor = 'middle' bc.valueAxis.configure(bc.data) bc.categoryAxis.categoryNames = labels bc.categoryAxis.labels.fontName = 'Helvetica' bc.categoryAxis.labels.fontSize = 8 bc.categoryAxis.labels.dx = -150 drawing.add(bc) return drawing def sampleH2b(): "Sample of multi-series bar chart." data = [(2.4, -5.7, 2, 5, 9.2), (0.6, -4.9, -3, 4, 6.8) ] labels = ("Q3 2000", "Year to Date", "12 months", "Annualised\n3 years", "Since 07.10.99") drawing = Drawing(400, 200) bc = HorizontalBarChart() bc.x = 80 bc.y = 50 bc.height = 120 bc.width = 300 bc.data = data bc.barSpacing = 5 bc.groupSpacing = 10 bc.barWidth = 10 bc.valueAxis.valueMin = -15 bc.valueAxis.valueMax = +15 bc.valueAxis.valueStep = 5 bc.valueAxis.labels.fontName = 'Helvetica' bc.valueAxis.labels.fontSize = 8 bc.valueAxis.labels.boxAnchor = 'n' # irrelevant (becomes 'c') bc.valueAxis.labels.textAnchor = 'middle' bc.categoryAxis.categoryNames = labels bc.categoryAxis.labels.fontName = 'Helvetica' bc.categoryAxis.labels.fontSize = 8 bc.categoryAxis.labels.dx = -150 drawing.add(bc) return drawing def sampleH2c(): "Sample of multi-series bar chart." data = [(2.4, -5.7, 2, 5, 9.99), (0.6, -4.9, -3, 4, 9.99) ] labels = ("Q3 2000", "Year to Date", "12 months", "Annualised\n3 years", "Since 07.10.99") drawing = Drawing(400, 200) bc = HorizontalBarChart() bc.x = 80 bc.y = 50 bc.height = 120 bc.width = 300 bc.data = data bc.barSpacing = 2 bc.groupSpacing = 10 bc.barWidth = 10 bc.valueAxis.valueMin = -15 bc.valueAxis.valueMax = +15 bc.valueAxis.valueStep = 5 bc.valueAxis.labels.fontName = 'Helvetica' bc.valueAxis.labels.fontSize = 8 bc.valueAxis.labels.boxAnchor = 'n' bc.valueAxis.labels.textAnchor = 'middle' bc.categoryAxis.categoryNames = labels bc.categoryAxis.labels.fontName = 'Helvetica' bc.categoryAxis.labels.fontSize = 8 bc.categoryAxis.labels.dx = -150 bc.barLabels.nudge = 10 bc.barLabelFormat = '%0.2f' bc.barLabels.dx = 0 bc.barLabels.dy = 0 bc.barLabels.boxAnchor = 'n' # irrelevant (becomes 'c') bc.barLabels.fontName = 'Helvetica' bc.barLabels.fontSize = 6 drawing.add(bc) return drawing def sampleH3(): "A really horizontal bar chart (compared to the equivalent faked one)." names = ("UK Equities", "US Equities", "European Equities", "Japanese Equities", "Pacific (ex Japan) Equities", "Emerging Markets Equities", "UK Bonds", "Overseas Bonds", "UK Index-Linked", "Cash") series1 = (-1.5, 0.3, 0.5, 1.0, 0.8, 0.7, 0.4, 0.1, 1.0, 0.3) series2 = (0.0, 0.33, 0.55, 1.1, 0.88, 0.77, 0.44, 0.11, 1.10, 0.33) assert len(names) == len(series1), "bad data" assert len(names) == len(series2), "bad data" drawing = Drawing(400, 200) bc = HorizontalBarChart() bc.x = 100 bc.y = 20 bc.height = 150 bc.width = 250 bc.data = (series1,) bc.bars.fillColor = colors.green bc.barLabelFormat = '%0.2f' bc.barLabels.dx = 0 bc.barLabels.dy = 0 bc.barLabels.boxAnchor = 'w' # irrelevant (becomes 'c') bc.barLabels.fontName = 'Helvetica' bc.barLabels.fontSize = 6 bc.barLabels.nudge = 10 bc.valueAxis.visible = 0 bc.valueAxis.valueMin = -2 bc.valueAxis.valueMax = +2 bc.valueAxis.valueStep = 1 bc.categoryAxis.tickLeft = 0 bc.categoryAxis.tickRight = 0 bc.categoryAxis.categoryNames = names bc.categoryAxis.labels.boxAnchor = 'w' bc.categoryAxis.labels.dx = -170 bc.categoryAxis.labels.fontName = 'Helvetica' bc.categoryAxis.labels.fontSize = 6 g = Group(bc) drawing.add(g) return drawing def sampleH4a(): "A bar chart showing value axis region starting at *exactly* zero." drawing = Drawing(400, 200) data = [(13, 20)] bc = HorizontalBarChart() bc.x = 50 bc.y = 50 bc.height = 125 bc.width = 300 bc.data = data bc.strokeColor = colors.black bc.valueAxis.valueMin = 0 bc.valueAxis.valueMax = 60 bc.valueAxis.valueStep = 15 bc.categoryAxis.labels.boxAnchor = 'e' bc.categoryAxis.categoryNames = ['Ying', 'Yang'] drawing.add(bc) return drawing def sampleH4b(): "A bar chart showing value axis region starting *below* zero." drawing = Drawing(400, 200) data = [(13, 20)] bc = HorizontalBarChart() bc.x = 50 bc.y = 50 bc.height = 125 bc.width = 300 bc.data = data bc.strokeColor = colors.black bc.valueAxis.valueMin = -10 bc.valueAxis.valueMax = 60 bc.valueAxis.valueStep = 15 bc.categoryAxis.labels.boxAnchor = 'e' bc.categoryAxis.categoryNames = ['Ying', 'Yang'] drawing.add(bc) return drawing def sampleH4c(): "A bar chart showing value axis region starting *above* zero." drawing = Drawing(400, 200) data = [(13, 20)] bc = HorizontalBarChart() bc.x = 50 bc.y = 50 bc.height = 125 bc.width = 300 bc.data = data bc.strokeColor = colors.black bc.valueAxis.valueMin = 10 bc.valueAxis.valueMax = 60 bc.valueAxis.valueStep = 15 bc.categoryAxis.labels.boxAnchor = 'e' bc.categoryAxis.categoryNames = ['Ying', 'Yang'] drawing.add(bc) return drawing def sampleH4d(): "A bar chart showing value axis region entirely *below* zero." drawing = Drawing(400, 200) data = [(-13, -20)] bc = HorizontalBarChart() bc.x = 50 bc.y = 50 bc.height = 125 bc.width = 300 bc.data = data bc.strokeColor = colors.black bc.valueAxis.valueMin = -30 bc.valueAxis.valueMax = -10 bc.valueAxis.valueStep = 15 bc.categoryAxis.labels.boxAnchor = 'e' bc.categoryAxis.categoryNames = ['Ying', 'Yang'] drawing.add(bc) return drawing dataSample5 = [(10, 60), (20, 50), (30, 40), (40, 30)] def sampleH5a(): "A simple bar chart with no expressed spacing attributes." drawing = Drawing(400, 200) data = dataSample5 bc = HorizontalBarChart() bc.x = 50 bc.y = 50 bc.height = 125 bc.width = 300 bc.data = data bc.strokeColor = colors.black bc.valueAxis.valueMin = 0 bc.valueAxis.valueMax = 60 bc.valueAxis.valueStep = 15 bc.categoryAxis.labels.boxAnchor = 'e' bc.categoryAxis.categoryNames = ['Ying', 'Yang'] drawing.add(bc) return drawing def sampleH5b(): "A simple bar chart with proportional spacing." drawing = Drawing(400, 200) data = dataSample5 bc = HorizontalBarChart() bc.x = 50 bc.y = 50 bc.height = 125 bc.width = 300 bc.data = data bc.strokeColor = colors.black bc.useAbsolute = 0 bc.barWidth = 40 bc.groupSpacing = 20 bc.barSpacing = 10 bc.valueAxis.valueMin = 0 bc.valueAxis.valueMax = 60 bc.valueAxis.valueStep = 15 bc.categoryAxis.labels.boxAnchor = 'e' bc.categoryAxis.categoryNames = ['Ying', 'Yang'] drawing.add(bc) return drawing def sampleH5c1(): "A simple bar chart with absolute spacing." drawing = Drawing(400, 200) data = dataSample5 bc = HorizontalBarChart() bc.x = 50 bc.y = 50 bc.height = 125 bc.width = 300 bc.data = data bc.strokeColor = colors.black bc.useAbsolute = 1 bc.barWidth = 10 bc.groupSpacing = 0 bc.barSpacing = 0 bc.valueAxis.valueMin = 0 bc.valueAxis.valueMax = 60 bc.valueAxis.valueStep = 15 bc.categoryAxis.labels.boxAnchor = 'e' bc.categoryAxis.categoryNames = ['Ying', 'Yang'] drawing.add(bc) return drawing def sampleH5c2(): "Simple bar chart with absolute spacing." drawing = Drawing(400, 200) data = dataSample5 bc = HorizontalBarChart() bc.x = 50 bc.y = 50 bc.height = 125 bc.width = 300 bc.data = data bc.strokeColor = colors.black bc.useAbsolute = 1 bc.barWidth = 10 bc.groupSpacing = 20 bc.barSpacing = 0 bc.valueAxis.valueMin = 0 bc.valueAxis.valueMax = 60 bc.valueAxis.valueStep = 15 bc.categoryAxis.labels.boxAnchor = 'e' bc.categoryAxis.categoryNames = ['Ying', 'Yang'] drawing.add(bc) return drawing def sampleH5c3(): "Simple bar chart with absolute spacing." drawing = Drawing(400, 200) data = dataSample5 bc = HorizontalBarChart() bc.x = 50 bc.y = 20 bc.height = 155 bc.width = 300 bc.data = data bc.strokeColor = colors.black bc.useAbsolute = 1 bc.barWidth = 10 bc.groupSpacing = 0 bc.barSpacing = 2 bc.valueAxis.valueMin = 0 bc.valueAxis.valueMax = 60 bc.valueAxis.valueStep = 15 bc.categoryAxis.labels.boxAnchor = 'e' bc.categoryAxis.categoryNames = ['Ying', 'Yang'] drawing.add(bc) return drawing def sampleH5c4(): "Simple bar chart with absolute spacing." drawing = Drawing(400, 200) data = dataSample5 bc = HorizontalBarChart() bc.x = 50 bc.y = 50 bc.height = 125 bc.width = 300 bc.data = data bc.strokeColor = colors.black bc.useAbsolute = 1 bc.barWidth = 10 bc.groupSpacing = 20 bc.barSpacing = 10 bc.valueAxis.valueMin = 0 bc.valueAxis.valueMax = 60 bc.valueAxis.valueStep = 15 bc.categoryAxis.labels.boxAnchor = 'e' bc.categoryAxis.categoryNames = ['Ying', 'Yang'] drawing.add(bc) return drawing def sampleSymbol1(): "Simple bar chart using symbol attribute." drawing = Drawing(400, 200) data = dataSample5 bc = VerticalBarChart() bc.x = 50 bc.y = 50 bc.height = 125 bc.width = 300 bc.data = data bc.strokeColor = colors.black bc.barWidth = 10 bc.groupSpacing = 15 bc.barSpacing = 3 bc.valueAxis.valueMin = 0 bc.valueAxis.valueMax = 60 bc.valueAxis.valueStep = 15 bc.categoryAxis.labels.boxAnchor = 'e' bc.categoryAxis.categoryNames = ['Ying', 'Yang'] from reportlab.graphics.widgets.grids import ShadedRect sym1 = ShadedRect() sym1.fillColorStart = colors.black sym1.fillColorEnd = colors.blue sym1.orientation = 'horizontal' sym1.strokeWidth = 0 sym2 = ShadedRect() sym2.fillColorStart = colors.black sym2.fillColorEnd = colors.pink sym2.orientation = 'horizontal' sym2.strokeWidth = 0 sym3 = ShadedRect() sym3.fillColorStart = colors.blue sym3.fillColorEnd = colors.white sym3.orientation = 'vertical' sym3.cylinderMode = 1 sym3.strokeWidth = 0 bc.bars.symbol = sym1 bc.bars[2].symbol = sym2 bc.bars[3].symbol = sym3 drawing.add(bc) return drawing def sampleStacked1(): "Simple bar chart using symbol attribute." drawing = Drawing(400, 200) data = dataSample5 bc = VerticalBarChart() bc.categoryAxis.style = 'stacked' bc.x = 50 bc.y = 50 bc.height = 125 bc.width = 300 bc.data = data bc.strokeColor = colors.black bc.barWidth = 10 bc.groupSpacing = 15 bc.valueAxis.valueMin = 0 bc.categoryAxis.labels.boxAnchor = 'e' bc.categoryAxis.categoryNames = ['Ying', 'Yang'] from reportlab.graphics.widgets.grids import ShadedRect bc.bars.symbol = ShadedRect() bc.bars.symbol.fillColorStart = colors.red bc.bars.symbol.fillColorEnd = colors.white bc.bars.symbol.orientation = 'vertical' bc.bars.symbol.cylinderMode = 1 bc.bars.symbol.strokeWidth = 0 bc.bars[1].symbol = ShadedRect() bc.bars[1].symbol.fillColorStart = colors.magenta bc.bars[1].symbol.fillColorEnd = colors.white bc.bars[1].symbol.orientation = 'vertical' bc.bars[1].symbol.cylinderMode = 1 bc.bars[1].symbol.strokeWidth = 0 bc.bars[2].symbol = ShadedRect() bc.bars[2].symbol.fillColorStart = colors.green bc.bars[2].symbol.fillColorEnd = colors.white bc.bars[2].symbol.orientation = 'vertical' bc.bars[2].symbol.cylinderMode = 1 bc.bars[2].symbol.strokeWidth = 0 bc.bars[3].symbol = ShadedRect() bc.bars[3].symbol.fillColorStart = colors.blue bc.bars[3].symbol.fillColorEnd = colors.white bc.bars[3].symbol.orientation = 'vertical' bc.bars[3].symbol.cylinderMode = 1 bc.bars[3].symbol.strokeWidth = 0 drawing.add(bc) return drawing #class version of function sampleH5c4 above class SampleH5c4(Drawing): "Simple bar chart with absolute spacing." def __init__(self,width=400,height=200,*args,**kw): apply(Drawing.__init__,(self,width,height)+args,kw) bc = HorizontalBarChart() bc.x = 50 bc.y = 50 bc.height = 125 bc.width = 300 bc.data = dataSample5 bc.strokeColor = colors.black bc.useAbsolute = 1 bc.barWidth = 10 bc.groupSpacing = 20 bc.barSpacing = 10 bc.valueAxis.valueMin = 0 bc.valueAxis.valueMax = 60 bc.valueAxis.valueStep = 15 bc.categoryAxis.labels.boxAnchor = 'e' bc.categoryAxis.categoryNames = ['Ying', 'Yang'] self.add(bc,name='HBC')
