这个折线图：
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不同样式虚线做数据线：chart.lines[i].strokeDashArray
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虚线截小段做图例的色块：
LineLegend，legend.colorNamePairs = Auto(obj = chart)
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y轴将给的数据放大1000倍：chart.yValueAxis.labelTextScale
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x轴刻度标签旋转90度：chart.xValueAxis.labels.angle
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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 LinePlot
from reportlab.lib.colors import PCMYKColor
from reportlab.graphics.charts.legends import LineLegend
from reportlab.graphics.shapes import Drawing, _DrawingEditorMixin, Line
from reportlab.lib.validators import Auto
from reportlab.lib.styles import black
from reportlab.graphics.charts.axes import XValueAxis, YValueAxis, AdjYValueAxis, NormalDateXValueAxis
class LineChart_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 = [[(20070201, 1.0), (20070228, 1.0089999999999999), (20070331, 1.0264), (20070430, 1.0430999999999999), (20070531, 1.0649), (20070630, 1.0720000000000001), (20070731, 1.0742), (20070831, 1.0553999999999999), (20070930, 1.0713999999999999), (20071031, 1.1031), (20071130, 1.093), (20071231, 1.1005), (20080131, 1.0740000000000001)],
[(20070201, 1.0), (20070228, 1.0154000000000001), (20070331, 1.0155000000000001), (20070430, 1.0208999999999999), (20070531, 1.0132000000000001), (20070630, 1.0101), (20070731, 1.0185), (20070831, 1.0309999999999999), (20070930, 1.0388999999999999), (20071031, 1.0482), (20071130, 1.0670999999999999), (20071231, 1.0701000000000001), (20080131, 1.0880000000000001)],
[(20070201, 1.0), (20070228, 1.0089999999999999), (20070331, 1.0182), (20070430, 1.0311999999999999), (20070531, 1.0471999999999999), (20070630, 1.0518000000000001), (20070731, 1.0532999999999999), (20070831, 1.0344), (20070930, 1.0470999999999999), (20071031, 1.0699000000000001), (20071130, 1.0613999999999999), (20071231, 1.0621), (20080131, 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 = 0.75
if __name__=="__main__": #NORUNTESTS
LineChart_DashedLinesNumberFormates().save(formats=['pdf'],outDir='.',fnRoot=None)