这个折线图：
不同样式虚线做数据线：chart.lines[i].strokeDashArray
虚线截小段做图例的色块：
LineLegend，legend.colorNamePairs = Auto(obj = chart)
y轴将给的数据放大1000倍：chart.yValueAxis.labelTextScale
x轴刻度标签旋转90度：chart.xValueAxis.labels.angle
设定x轴上标签的显示格式：
chart.yValueAxis.labelTextFormat
代码及注释：
# 不同样式的数据折线以及指定坐标轴上标签的数据格式from reportlab.graphics.charts.lineplots import LinePlotfrom reportlab.lib.colors import PCMYKColorfrom reportlab.graphics.charts.legends import LineLegendfrom reportlab.graphics.shapes import Drawing, _DrawingEditorMixin, Linefrom reportlab.lib.validators import Autofrom reportlab.lib.styles import blackfrom reportlab.graphics.charts.axes import XValueAxis, YValueAxis, AdjYValueAxis, NormalDateXValueAxisclassLineChart_DashedLinesNumberFormates(_DrawingEditorMixin,Drawing): def __init__(self,width=558,height=140,*args,**kw): Drawing.__init__(self,width,height,*args,**kw) # 公共变量 fontName = 'Helvetica'# 字体 strokeWidth = 0.5 # 线宽 dashArray = (0.3,1) # 虚线样式 lineCap = 1 # 线头样式：0尖头、1圆头、2方头 overShoot = 7.5 # 超出部分 # 添加折线图表 self._add(self,LinePlot(),name='chart',validate=None,desc=None) # 设置x坐标轴 self.chart.xValueAxis = NormalDateXValueAxis() # x轴是个日期轴 self.chart.xValueAxis.labels.fontName = fontName # 日期轴上标签字体 self.chart.xValueAxis.labels.fontSize = 6 # 日期轴上标签大小 self.chart.xValueAxis.labels.boxAnchor='autox' # 锚点，默认是'n'；'autox'能找到的资料仅一条，说是自适应标签框 self.chart.xValueAxis.labels.angle= 90 # 标签旋转90度 self.chart.xValueAxis.labels.rightPadding = 2 # 标签框的右留白 self.chart.xValueAxis.xLabelFormat= '{mm}/{dd}/{yy}' # 标签上的日期格式：月/日/年 self.chart.xValueAxis.strokeDashArray = dashArray # x轴和x轴上刻度线的样式，但似乎日期线不受约束 self.chart.xValueAxis.strokeLineCap = lineCap # 线头样式 self.chart.xValueAxis.strokeWidth = 0.5 # 线的宽度 self.chart.xValueAxis.maximumTicks= 20 # 刻度可以有的最大个数 self.chart.xValueAxis.forceFirstDate = 1 # 显示数据中的第一个日期 self.chart.xValueAxis.forceEndDate= 1 # 显示最后一个日期 self.chart.xValueAxis.dailyFreq = 0 # 为真时数轴上的刻度是每月最后一天 self.chart.xValueAxis.minimumTickSpacing = 15 # 刻度间距离的最小值 self.chart.xValueAxis.visible = 1 # x轴可见 self.chart.xValueAxis.visibleGrid = 0 # x轴上的刻度格线不可见 self.chart.xValueAxis.gridStrokeWidth = 0.25 # 如果有刻度格线的话刻度线的宽度 self.chart.xValueAxis.visibleTicks = 1 # x轴上的刻度可见 # y axis self.chart.yValueAxis.labels.fontName = fontName # y轴上的标签字体 self.chart.yValueAxis.labels.fontSize = 6 # y轴上的标签字体大小 self.chart.yValueAxis.labelTextFormat = '$%0.2f' # y轴上标签格式，前面加一个$，小数点后两位数字的实数 self.chart.yValueAxis.labels.rightPadding = 7 # 标签右留白 self.chart.yValueAxis.strokeWidth = 0.5 # y轴线宽 self.chart.yValueAxis.strokeDashArray = dashArray # y轴线的样式 self.chart.yValueAxis.strokeLineCap = lineCap # 线头样式 self.chart.yValueAxis.maximumTicks= 15 self.chart.yValueAxis.rangeRound ='both' # OneOf('none','both','ceiling','floor'),'How to round the axis limits' # 刻度的最高最低怎么取，ceiling是进最近的那个最大的，floor是最近的那个最小的 self.chart.yValueAxis.avoidBoundFrac = 0.1 # 间隔、最上和最下都受这个值的影响，可以切换成其他值感受一下它的影响 # 源代码上的注释：Fraction of interval to allow above and below. # self.chart.yValueAxis.avoidBoundFrac = 1 # self.chart.yValueAxis.avoidBoundFrac = 2 # self.chart.yValueAxis.avoidBoundFrac = 3 # self.chart.yValueAxis.avoidBoundFrac = 5 self.chart.yValueAxis.visibleGrid = 1 # 显示y轴上的刻度格线，接着设定刻度格线的宽度、样式和线头 self.chart.yValueAxis.gridStrokeWidth = strokeWidth self.chart.yValueAxis.gridStrokeDashArray = dashArray self.chart.yValueAxis.gridStrokeLineCap= lineCap self.chart.yValueAxis.visibleAxis = 1 # 显示y轴 self.chart.yValueAxis.labelTextScale= 1000 # 将y值扩大1000倍标在y坐标轴上 self.chart.yValueAxis.tickLeft= 0 # 刻度线左伸出为0 # legend self._add(self,LineLegend(),name='legend',validate=None,desc=None) self.legend.colorNamePairs = Auto(obj=self.chart) # 图例开启自动模式，用数据线上的一小段做色块，一一对应chart.lines各数据线的名字name属性 self.legend.fontName = fontName self.legend.fontSize = 7 self.legend.alignment ='right' # 文字在色块右边 self.legend.columnMaximum = 1 # 每列最多一行 self.legend.dxTextSpace= 5 # 文字与色块的距离 self.legend.variColumn = 1 # 列宽可变 self.legend.autoXPadding= 15 # deltax=None时，x方向的列间留白 # 折线上的数据列表，包括三个元素列表，每个元素列表里包括一组数据 # 三组数据三条数据线 self.chart.data = [[(0201, 1.0), (0228, 1.0089999999999999), (0331, 1.0264), (0430, 1.0430999999999999), (0531, 1.0649), (0630, 1.0720000000000001), (0731, 1.0742), (0831, 1.0553999999999999), (0930, 1.0713999999999999), (1031, 1.1031), (1130, 1.093), (1231, 1.1005), (0131, 1.0740000000000001)], [(0201, 1.0), (0228, 1.0154000000000001), (0331, 1.0155000000000001), (0430, 1.0208999999999999), (0531, 1.0132000000000001), (0630, 1.0101), (0731, 1.0185), (0831, 1.0309999999999999), (0930, 1.0388999999999999), (1031, 1.0482), (1130, 1.0670999999999999), (1231, 1.0701000000000001), (0131, 1.0880000000000001)], [(0201, 1.0), (0228, 1.0089999999999999), (0331, 1.0182), (0430, 1.0311999999999999), (0531, 1.0471999999999999), (0630, 1.0518000000000001), (0731, 1.0532999999999999), (0831, 1.0344), (0930, 1.0470999999999999), (1031, 1.0699000000000001), (1130, 1.0613999999999999), (1231, 1.0621), (0131, 1.0455000000000001)]] # 颜色列表 self._colorsList = [PCMYKColor(23,51,0,4), PCMYKColor(66,13,0,22), PCMYKColor(100,60,0,50), PCMYKColor(0,0,0,0),PCMYKColor(0,0,0,0),PCMYKColor(0,0,0,0)] # 直线样式列表 self._dashArray = [(1, 1), (6, 2), (2, 2, 2, 2, 10), ] # 数据线所代表的名字列表 self._sNames = 'Liberty International', 'Persimmon', 'Royal Bank of Scotland', # 依次赋值给每条数据线对应的属性：名字、颜色和直线样式 for i in range(len(self.chart.data)): self.chart.lines[i].name = self._sNames[i] # 数据线代表啥 self.chart.lines[i].strokeColor = self._colorsList[i] # 数据线颜色 self.chart.lines[i].strokeDashArray = self._dashArray[i] # 数据线样式 self.chart.lines.strokeWidth = 2 # 数据线宽度 # 重新调整画板大小、图表坐标、图表宽高和图例坐标 self.width = 400 self.height= 200 self.chart.x= 50 self.chart.y= 50 self.chart.width = 300 self.chart.height= 100 self.legend.y = 175 self.legend.x = 100 # 图表上左、右、底部各加一条直线 self._add(self, Line(self.chart.x, self.chart.y, self.chart.x, self.chart.y + self.chart.height, strokeWidth=strokeWidth, strokeDashArray=dashArray, strokeLineCap=lineCap), name='L0') self._add(self, Line(self.chart.x + self.chart.width, self.chart.y, self.chart.x + self.chart.width, self.chart.y + self.chart.height, strokeWidth=strokeWidth, strokeDashArray=dashArray, strokeLineCap=lineCap), name='L1', validate=None, desc=None) self._add(self, Line(self.chart.x - overShoot, self.chart.y, self.chart.x + self.chart.width + overShoot, self.chart.y, strokeWidth=strokeWidth), name='L2', validate=None, desc=None) # 底部直线左右多出一块，调整一下 self.L2.x1= 50 self.L2.x2= 350 self.L2.y1= 50 self.L2.y2= 50 # 调整线条宽度 self.L0.strokeWidth= 1 self.L1.strokeWidth= 1 self.L2.strokeWidth= 0.75if __name__=="__main__": #NORUNTESTS LineChart_DashedLinesNumberFormates().save(formats=['pdf'],outDir='.',fnRoot=None)
