/usr/lib/python2.7/dist-packages/reportlab/graphics/charts/lineplots.py is in python-reportlab 3.1.8-3+deb8u1.
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#see license.txt for license details
#history http://www.reportlab.co.uk/cgi-bin/viewcvs.cgi/public/reportlab/trunk/reportlab/graphics/charts/lineplots.py
__version__=''' $Id$ '''
__doc__="""This module defines a very preliminary Line Plot example."""
import string, time
from reportlab.lib import colors
from reportlab.lib.validators import *
from reportlab.lib.attrmap import *
from reportlab.graphics.shapes import Drawing, Group, Rect, Line, PolyLine, Polygon, _SetKeyWordArgs
from reportlab.graphics.widgetbase import Widget, TypedPropertyCollection, PropHolder
from reportlab.graphics.charts.textlabels import Label
from reportlab.graphics.charts.axes import XValueAxis, YValueAxis, AdjYValueAxis, NormalDateXValueAxis
from reportlab.graphics.charts.utils import *
from reportlab.graphics.widgets.markers import uSymbol2Symbol, isSymbol, makeMarker
from reportlab.graphics.widgets.grids import Grid, DoubleGrid, ShadedRect, ShadedPolygon
from reportlab.pdfbase.pdfmetrics import stringWidth, getFont
from reportlab.graphics.charts.areas import PlotArea
# This might be moved again from here...
class LinePlotProperties(PropHolder):
_attrMap = AttrMap(
strokeWidth = AttrMapValue(isNumber, desc='Width of a line.'),
strokeColor = AttrMapValue(isColorOrNone, desc='Color of a line.'),
strokeDashArray = AttrMapValue(isListOfNumbersOrNone, desc='Dash array of a line.'),
symbol = AttrMapValue(None, desc='Widget placed at data points.',advancedUsage=1),
shader = AttrMapValue(None, desc='Shader Class.',advancedUsage=1),
filler = AttrMapValue(None, desc='Filler Class.',advancedUsage=1),
name = AttrMapValue(isStringOrNone, desc='Name of the line.'),
inFill = AttrMapValue(isBoolean, desc='If true flood fill to x axis',advancedUsage=1),
)
class Shader(_SetKeyWordArgs):
_attrMap = AttrMap(BASE=PlotArea,
vertical = AttrMapValue(isBoolean, desc='If true shade to x axis'),
colors = AttrMapValue(SequenceOf(isColorOrNone,lo=2,hi=2), desc='(AxisColor, LineColor)'),
)
def shade(self, lp, g, rowNo, rowColor, row):
c = [None,None]
c = getattr(self,'colors',c) or c
if not c[0]: c[0] = getattr(lp,'fillColor',colors.white)
if not c[1]: c[1] = rowColor
class NoFiller:
def fill(self, lp, g, rowNo, rowColor, points):
pass
class Filler:
'''mixin providing simple polygon fill'''
_attrMap = AttrMap(
fillColor = AttrMapValue(isColorOrNone, desc='filler interior color'),
strokeColor = AttrMapValue(isColorOrNone, desc='filler edge color'),
strokeWidth = AttrMapValue(isNumberOrNone, desc='filler edge width'),
)
def __init__(self,**kw):
self.__dict__ = kw
def fill(self, lp, g, rowNo, rowColor, points):
g.add(Polygon(points,
fillColor=getattr(self,'fillColor',rowColor),
strokeColor=getattr(self,'strokeColor',rowColor),
strokeWidth=getattr(self,'strokeWidth',0.1)))
class ShadedPolyFiller(Filler,ShadedPolygon):
pass
class PolyFiller(Filler,Polygon):
pass
from reportlab.graphics.charts.linecharts import AbstractLineChart
class LinePlot(AbstractLineChart):
"""Line plot with multiple lines.
Both x- and y-axis are value axis (so there are no seperate
X and Y versions of this class).
"""
_attrMap = AttrMap(BASE=PlotArea,
reversePlotOrder = AttrMapValue(isBoolean, desc='If true reverse plot order.',advancedUsage=1),
lineLabelNudge = AttrMapValue(isNumber, desc='Distance between a data point and its label.',advancedUsage=1),
lineLabels = AttrMapValue(None, desc='Handle to the list of data point labels.'),
lineLabelFormat = AttrMapValue(None, desc='Formatting string or function used for data point labels.'),
lineLabelArray = AttrMapValue(None, desc='explicit array of line label values, must match size of data if present.'),
joinedLines = AttrMapValue(isNumber, desc='Display data points joined with lines if true.'),
strokeColor = AttrMapValue(isColorOrNone, desc='Color used for background border of plot area.'),
fillColor = AttrMapValue(isColorOrNone, desc='Color used for background interior of plot area.'),
lines = AttrMapValue(None, desc='Handle of the lines.'),
xValueAxis = AttrMapValue(None, desc='Handle of the x axis.'),
yValueAxis = AttrMapValue(None, desc='Handle of the y axis.'),
data = AttrMapValue(None, desc='Data to be plotted, list of (lists of) x/y tuples.'),
annotations = AttrMapValue(None, desc='list of callables, will be called with self, xscale, yscale.',advancedUsage=1),
behindAxes = AttrMapValue(isBoolean, desc='If true use separate line group.',advancedUsage=1),
gridFirst = AttrMapValue(isBoolean, desc='If true use draw grids before axes.',advancedUsage=1),
)
def __init__(self):
PlotArea.__init__(self)
self.reversePlotOrder = 0
self.xValueAxis = XValueAxis()
self.yValueAxis = YValueAxis()
# this defines two series of 3 points. Just an example.
self.data = [
((1,1), (2,2), (2.5,1), (3,3), (4,5)),
((1,2), (2,3), (2.5,2), (3,4), (4,6))
]
self.lines = TypedPropertyCollection(LinePlotProperties)
self.lines.strokeWidth = 1
self.lines[0].strokeColor = colors.red
self.lines[1].strokeColor = colors.blue
self.lineLabels = TypedPropertyCollection(Label)
self.lineLabelFormat = None
self.lineLabelArray = None
# this says whether the origin is inside or outside
# the bar - +10 means put the origin ten points
# above the tip of the bar if value > 0, or ten
# points inside if bar value < 0. This is different
# to label dx/dy which are not dependent on the
# sign of the data.
self.lineLabelNudge = 10
# if you have multiple series, by default they butt
# together.
# New line chart attributes.
self.joinedLines = 1 # Connect items with straight lines.
#private attributes
self._inFill = None
self.annotations = []
self.behindAxes = 0
self.gridFirst = 0
def demo(self):
"""Shows basic use of a line chart."""
drawing = Drawing(400, 200)
data = [
((1,1), (2,2), (2.5,1), (3,3), (4,5)),
((1,2), (2,3), (2.5,2), (3.5,5), (4,6))
]
lp = LinePlot()
lp.x = 50
lp.y = 50
lp.height = 125
lp.width = 300
lp.data = data
lp.joinedLines = 1
lp.lineLabelFormat = '%2.0f'
lp.strokeColor = colors.black
lp.lines[0].strokeColor = colors.red
lp.lines[0].symbol = makeMarker('FilledCircle')
lp.lines[1].strokeColor = colors.blue
lp.lines[1].symbol = makeMarker('FilledDiamond')
lp.xValueAxis.valueMin = 0
lp.xValueAxis.valueMax = 5
lp.xValueAxis.valueStep = 1
lp.yValueAxis.valueMin = 0
lp.yValueAxis.valueMax = 7
lp.yValueAxis.valueStep = 1
drawing.add(lp)
return drawing
def calcPositions(self):
"""Works out where they go.
Sets an attribute _positions which is a list of
lists of (x, y) matching the data.
"""
self._seriesCount = len(self.data)
self._rowLength = max(list(map(len,self.data)))
self._positions = []
for rowNo in range(len(self.data)):
line = []
for colNo in range(len(self.data[rowNo])):
datum = self.data[rowNo][colNo] # x,y value
if isinstance(datum[0],str):
x = self.xValueAxis.scale(mktime(mkTimeTuple(datum[0])))
else:
x = self.xValueAxis.scale(datum[0])
y = self.yValueAxis.scale(datum[1])
line.append((x, y))
self._positions.append(line)
def _innerDrawLabel(self, rowNo, colNo, x, y):
"Draw a label for a given item in the list."
labelFmt = self.lineLabelFormat
labelValue = self.data[rowNo][colNo][1] ###
if labelFmt is None:
labelText = None
elif isinstance(labelFmt,str):
if labelFmt == 'values':
labelText = self.lineLabelArray[rowNo][colNo]
else:
labelText = labelFmt % labelValue
elif hasattr(labelFmt,'__call__'):
if not hasattr(labelFmt,'__labelFmtEX__'):
labelText = labelFmt(labelValue)
else:
labelText = labelFmt(self,rowNo,colNo,x,y)
else:
raise ValueError("Unknown formatter type %s, expected string or function"% labelFmt)
if labelText:
label = self.lineLabels[(rowNo, colNo)]
if not label.visible: return
#hack to make sure labels are outside the bar
if y > 0:
label.setOrigin(x, y + self.lineLabelNudge)
else:
label.setOrigin(x, y - self.lineLabelNudge)
label.setText(labelText)
else:
label = None
return label
def drawLabel(self, G, rowNo, colNo, x, y):
'''Draw a label for a given item in the list.
G must have an add method'''
G.add(self._innerDrawLabel(rowNo,colNo,x,y))
def makeLines(self):
g = Group()
bubblePlot = getattr(self,'_bubblePlot',None)
if bubblePlot:
yA = self.yValueAxis
xA = self.xValueAxis
bubbleR = min(yA._bubbleRadius,xA._bubbleRadius)
bubbleMax = xA._bubbleMax
labelFmt = self.lineLabelFormat
P = list(range(len(self._positions)))
if self.reversePlotOrder: P.reverse()
inFill = getattr(self,'_inFill',None)
styleCount = len(self.lines)
if inFill or [rowNo for rowNo in P if getattr(self.lines[rowNo%styleCount],'inFill',False)]:
inFillY = self.xValueAxis._y
inFillX0 = self.yValueAxis._x
inFillX1 = inFillX0 + self.xValueAxis._length
inFillG = getattr(self,'_inFillG',g)
lG = getattr(self,'_lineG',g)
# Iterate over data rows.
for rowNo in P:
row = self._positions[rowNo]
rowStyle = self.lines[rowNo % styleCount]
rowColor = getattr(rowStyle,'strokeColor',None)
dash = getattr(rowStyle, 'strokeDashArray', None)
if hasattr(rowStyle, 'strokeWidth'):
width = rowStyle.strokeWidth
elif hasattr(self.lines, 'strokeWidth'):
width = self.lines.strokeWidth
else:
width = None
# Iterate over data columns.
if self.joinedLines:
points = []
for xy in row:
points += [xy[0], xy[1]]
if inFill or getattr(rowStyle,'inFill',False):
fpoints = [inFillX0,inFillY] + points + [inFillX1,inFillY]
filler = getattr(rowStyle, 'filler', None)
if filler:
filler.fill(self,inFillG,rowNo,rowColor,fpoints)
else:
inFillG.add(Polygon(fpoints,fillColor=rowColor,strokeColor=rowColor,strokeWidth=width or 0.1))
if inFill in (None,0,2):
line = PolyLine(points,strokeColor=rowColor,strokeLineCap=0,strokeLineJoin=1)
if width:
line.strokeWidth = width
if dash:
line.strokeDashArray = dash
lG.add(line)
if hasattr(rowStyle, 'symbol'):
uSymbol = rowStyle.symbol
elif hasattr(self.lines, 'symbol'):
uSymbol = self.lines.symbol
else:
uSymbol = None
if uSymbol:
if bubblePlot: drow = self.data[rowNo]
for j,xy in enumerate(row):
symbol = uSymbol2Symbol(uSymbol,xy[0],xy[1],rowColor)
if symbol:
if bubblePlot:
symbol.size = bubbleR*(drow[j][2]/bubbleMax)**0.5
g.add(symbol)
else:
if bubblePlot: drow = self.data[rowNo]
for j,xy in enumerate(row):
usymbol = getattr(self.lines[rowNo,j],'symbol',None)
if not usymbol: continue
symbol = uSymbol2Symbol(uSymbol,xy[0],xy[1],rowColor)
if symbol:
if bubblePlot:
symbol.size = bubbleR*(drow[j][2]/bubbleMax)**0.5
g.add(symbol)
# Draw data labels.
for colNo in range(len(row)):
x1, y1 = row[colNo]
self.drawLabel(g, rowNo, colNo, x1, y1)
shader = getattr(rowStyle, 'shader', None)
if shader: shader.shade(self,g,rowNo,rowColor,row)
return g
def draw(self):
yA = self.yValueAxis
xA = self.xValueAxis
if getattr(self,'_bubblePlot',None):
yA._bubblePlot = xA._bubblePlot = 1
yA.setPosition(self.x, self.y, self.height)
if yA: yA.joinAxis = xA
if xA: xA.joinAxis = yA
yA.configure(self.data)
# if zero is in chart, put x axis there, otherwise use bottom.
xAxisCrossesAt = yA.scale(0)
if ((xAxisCrossesAt > self.y + self.height) or (xAxisCrossesAt < self.y)):
y = self.y
else:
y = xAxisCrossesAt
xA.setPosition(self.x, y, self.width)
xA.configure(self.data)
self.calcPositions()
g = Group()
g.add(self.makeBackground())
if self._inFill or self.behindAxes:
xA._joinToAxis()
if self._inFill:
self._inFillG = Group()
g.add(self._inFillG)
if self.behindAxes:
self._lineG = Group()
g.add(self._lineG)
xA._joinToAxis()
yA._joinToAxis()
xAex = xA.visibleAxis and [xA._y] or []
yAex = yA.visibleAxis and [yA._x] or []
skipGrid = getattr(xA,'skipGrid','none')
if skipGrid!=None:
if skipGrid in ('both','top'):
yAex.append(xA._x+xA._length)
if skipGrid in ('both','bottom'):
yAex.append(xA._x)
skipGrid = getattr(yA,'skipGrid','none')
if skipGrid!=None:
if skipGrid in ('both','top'):
xAex.append(yA._y+yA._length)
if skipGrid in ('both','bottom'):
xAex.append(yA._y)
if self.gridFirst:
xA.makeGrid(g,parent=self,dim=yA.getGridDims,exclude=yAex)
yA.makeGrid(g,parent=self,dim=xA.getGridDims,exclude=xAex)
g.add(xA.draw())
g.add(yA.draw())
if not self.gridFirst:
xAdgl = getattr(xA,'drawGridLast',False)
yAdgl = getattr(yA,'drawGridLast',False)
if not xAdgl: xA.makeGrid(g,parent=self,dim=yA.getGridDims,exclude=yAex)
if not yAdgl: yA.makeGrid(g,parent=self,dim=xA.getGridDims,exclude=xAex)
annotations = getattr(self,'annotations',[])
for a in annotations:
if getattr(a,'beforeLines',None):
g.add(a(self,xA.scale,yA.scale))
g.add(self.makeLines())
if not self.gridFirst:
if xAdgl: xA.makeGrid(g,parent=self,dim=yA.getGridDims,exclude=yAex)
if yAdgl: yA.makeGrid(g,parent=self,dim=xA.getGridDims,exclude=xAex)
for a in annotations:
if not getattr(a,'beforeLines',None):
g.add(a(self,xA.scale,yA.scale))
return g
def addCrossHair(self,name,xv,yv,strokeColor=colors.black,strokeWidth=1,beforeLines=True):
from reportlab.graphics.shapes import Group, Line
annotations = [a for a in getattr(self,'annotations',[]) if getattr(a,'name',None)!=name]
def annotation(self,xScale,yScale):
x = xScale(xv)
y = yScale(yv)
g = Group()
xA = xScale.__self__ #the x axis
g.add(Line(xA._x,y,xA._x+xA._length,y,strokeColor=strokeColor,strokeWidth=strokeWidth))
yA = yScale.__self__ #the y axis
g.add(Line(x,yA._y,x,yA._y+yA._length,strokeColor=strokeColor,strokeWidth=strokeWidth))
return g
annotation.beforeLines = beforeLines
annotations.append(annotation)
self.annotations = annotations
class LinePlot3D(LinePlot):
_attrMap = AttrMap(BASE=LinePlot,
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 = 10
zSpace = 3
def calcPositions(self):
LinePlot.calcPositions(self)
nSeries = self._seriesCount
zSpace = self.zSpace
zDepth = self.zDepth
if self.xValueAxis.style=='parallel_3d':
_3d_depth = nSeries*zDepth+(nSeries+1)*zSpace
else:
_3d_depth = zDepth + 2*zSpace
self._3d_dx = self.theta_x*_3d_depth
self._3d_dy = self.theta_y*_3d_depth
def _calc_z0(self,rowNo):
zSpace = self.zSpace
if self.xValueAxis.style=='parallel_3d':
z0 = rowNo*(self.zDepth+zSpace)+zSpace
else:
z0 = zSpace
return z0
def _zadjust(self,x,y,z):
return x+z*self.theta_x, y+z*self.theta_y
def makeLines(self):
bubblePlot = getattr(self,'_bubblePlot',None)
assert not bubblePlot, "_bubblePlot not supported for 3d yet"
#if bubblePlot:
# yA = self.yValueAxis
# xA = self.xValueAxis
# bubbleR = min(yA._bubbleRadius,xA._bubbleRadius)
# bubbleMax = xA._bubbleMax
labelFmt = self.lineLabelFormat
positions = self._positions
P = list(range(len(positions)))
if self.reversePlotOrder: P.reverse()
inFill = getattr(self,'_inFill',None)
assert not inFill, "inFill not supported for 3d yet"
#if inFill:
# inFillY = self.xValueAxis._y
# inFillX0 = self.yValueAxis._x
# inFillX1 = inFillX0 + self.xValueAxis._length
# inFillG = getattr(self,'_inFillG',g)
zDepth = self.zDepth
_zadjust = self._zadjust
theta_x = self.theta_x
theta_y = self.theta_y
from reportlab.graphics.charts.linecharts import _FakeGroup
F = _FakeGroup()
from reportlab.graphics.charts.utils3d import _make_3d_line_info, find_intersections
if self.xValueAxis.style!='parallel_3d':
tileWidth = getattr(self,'_3d_tilewidth',1)
if getattr(self,'_find_intersections',None):
from copy import copy
fpositions = list(map(copy,positions))
I = find_intersections(fpositions,small=tileWidth)
ic = None
for i,j,x,y in I:
if ic!=i:
ic = i
jc = 0
else:
jc+=1
fpositions[i].insert(j+jc,(x,y))
tileWidth = None
else:
fpositions = positions
else:
tileWidth = None
fpositions = positions
# Iterate over data rows.
styleCount = len(self.lines)
for rowNo in P:
row = positions[rowNo]
n = len(row)
rowStyle = self.lines[rowNo % styleCount]
rowColor = rowStyle.strokeColor
dash = getattr(rowStyle, 'strokeDashArray', None)
z0 = self._calc_z0(rowNo)
z1 = z0 + zDepth
if hasattr(rowStyle, 'strokeWidth'):
width = rowStyle.strokeWidth
elif hasattr(self.lines, 'strokeWidth'):
width = self.lines.strokeWidth
else:
width = None
# Iterate over data columns.
if self.joinedLines:
if n:
frow = fpositions[rowNo]
x0, y0 = frow[0]
for colNo in range(1,len(frow)):
x1, y1 = frow[colNo]
_make_3d_line_info( F, x0, x1, y0, y1, z0, z1,
theta_x, theta_y,
rowColor, fillColorShaded=None, tileWidth=tileWidth,
strokeColor=None, strokeWidth=None, strokeDashArray=None,
shading=0.1)
x0, y0 = x1, y1
if hasattr(rowStyle, 'symbol'):
uSymbol = rowStyle.symbol
elif hasattr(self.lines, 'symbol'):
uSymbol = self.lines.symbol
else:
uSymbol = None
if uSymbol:
for xy in row:
x1, y1 = row[colNo]
x1, y1 = _zadjust(x1,y1,z0)
symbol = uSymbol2Symbol(uSymbol,xy[0],xy[1],rowColor)
if symbol: F.add((1,z0,z0,x1,y1,symbol))
# Draw data labels.
for colNo in range(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()
for v in F.value(): g.add(v[-1])
return g
_monthlyIndexData = [[(19971202, 100.0),
(19971231, 100.1704367),
(19980131, 101.5639577),
(19980228, 102.1879927),
(19980331, 101.6337257),
(19980430, 102.7640446),
(19980531, 102.9198038),
(19980630, 103.25938789999999),
(19980731, 103.2516421),
(19980831, 105.4744329),
(19980930, 109.3242705),
(19981031, 111.9859291),
(19981130, 110.9184642),
(19981231, 110.9184642),
(19990131, 111.9882532),
(19990228, 109.7912614),
(19990331, 110.24189629999999),
(19990430, 110.4279321),
(19990531, 109.33955469999999),
(19990630, 108.2341748),
(19990731, 110.21294469999999),
(19990831, 110.9683062),
(19990930, 112.4425371),
(19991031, 112.7314032),
(19991130, 112.3509645),
(19991231, 112.3660659),
(20000131, 110.9255248),
(20000229, 110.5266306),
(20000331, 113.3116101),
(20000430, 111.0449133),
(20000531, 111.702717),
(20000630, 113.5832178)],
[(19971202, 100.0),
(19971231, 100.0),
(19980131, 100.8),
(19980228, 102.0),
(19980331, 101.9),
(19980430, 103.0),
(19980531, 103.0),
(19980630, 103.1),
(19980731, 103.1),
(19980831, 102.8),
(19980930, 105.6),
(19981031, 108.3),
(19981130, 108.1),
(19981231, 111.9),
(19990131, 113.1),
(19990228, 110.2),
(19990331, 111.8),
(19990430, 112.3),
(19990531, 110.1),
(19990630, 109.3),
(19990731, 111.2),
(19990831, 111.7),
(19990930, 112.6),
(19991031, 113.2),
(19991130, 113.9),
(19991231, 115.4),
(20000131, 112.7),
(20000229, 113.9),
(20000331, 115.8),
(20000430, 112.2),
(20000531, 112.6),
(20000630, 114.6)]]
class SimpleTimeSeriesPlot(LinePlot):
"""A customized version of LinePlot.
It uses NormalDateXValueAxis() and AdjYValueAxis() for the X and Y axes.
"""
def __init__(self):
LinePlot.__init__(self)
self.xValueAxis = NormalDateXValueAxis()
self.yValueAxis = YValueAxis()
self.data = _monthlyIndexData
class GridLinePlot(SimpleTimeSeriesPlot):
"""A customized version of SimpleTimeSeriesSPlot.
It uses NormalDateXValueAxis() and AdjYValueAxis() for the X and Y axes.
The chart has a default grid background with thin horizontal lines
aligned with the tickmarks (and labels). You can change the back-
ground to be any Grid or ShadedRect, or scale the whole chart.
If you do provide a background, you can specify the colours of the
stripes with 'background.stripeColors'.
"""
_attrMap = AttrMap(BASE=LinePlot,
background = AttrMapValue(None, desc='Background for chart area (now Grid or ShadedRect).'),
scaleFactor = AttrMapValue(isNumberOrNone, desc='Scalefactor to apply to whole drawing.'),
)
def __init__(self):
from reportlab.lib import colors
SimpleTimeSeriesPlot.__init__(self)
self.scaleFactor = None
self.background = Grid()
self.background.orientation = 'horizontal'
self.background.useRects = 0
self.background.useLines = 1
self.background.strokeWidth = 0.5
self.background.strokeColor = colors.black
def demo(self,drawing=None):
from reportlab.lib import colors
if not drawing:
drawing = Drawing(400, 200)
lp = GridLinePlot()
lp.x = 50
lp.y = 50
lp.height = 125
lp.width = 300
lp.data = _monthlyIndexData
lp.joinedLines = 1
lp.strokeColor = colors.black
c0 = colors.PCMYKColor(100,65,0,30, spotName='PANTONE 288 CV', density=100)
lp.lines[0].strokeColor = c0
lp.lines[0].strokeWidth = 2
lp.lines[0].strokeDashArray = None
c1 = colors.PCMYKColor(0,79,91,0, spotName='PANTONE Wm Red CV', density=100)
lp.lines[1].strokeColor = c1
lp.lines[1].strokeWidth = 1
lp.lines[1].strokeDashArray = [3,1]
lp.xValueAxis.labels.fontSize = 10
lp.xValueAxis.labels.textAnchor = 'start'
lp.xValueAxis.labels.boxAnchor = 'w'
lp.xValueAxis.labels.angle = -45
lp.xValueAxis.labels.dx = 0
lp.xValueAxis.labels.dy = -8
lp.xValueAxis.xLabelFormat = '{mm}/{yy}'
lp.yValueAxis.labelTextFormat = '%5d%% '
lp.yValueAxis.tickLeft = 5
lp.yValueAxis.labels.fontSize = 10
lp.background = Grid()
lp.background.stripeColors = [colors.pink, colors.lightblue]
lp.background.orientation = 'vertical'
drawing.add(lp,'plot')
return drawing
def draw(self):
xva, yva = self.xValueAxis, self.yValueAxis
if xva: xva.joinAxis = yva
if yva: yva.joinAxis = xva
yva.setPosition(self.x, self.y, self.height)
yva.configure(self.data)
# if zero is in chart, put x axis there, otherwise
# use bottom.
xAxisCrossesAt = yva.scale(0)
if ((xAxisCrossesAt > self.y + self.height) or (xAxisCrossesAt < self.y)):
y = self.y
else:
y = xAxisCrossesAt
xva.setPosition(self.x, y, self.width)
xva.configure(self.data)
back = self.background
if isinstance(back, Grid):
if back.orientation == 'vertical' and xva._tickValues:
xpos = list(map(xva.scale, [xva._valueMin] + xva._tickValues))
steps = []
for i in range(len(xpos)-1):
steps.append(xpos[i+1] - xpos[i])
back.deltaSteps = steps
elif back.orientation == 'horizontal' and yva._tickValues:
ypos = list(map(yva.scale, [yva._valueMin] + yva._tickValues))
steps = []
for i in range(len(ypos)-1):
steps.append(ypos[i+1] - ypos[i])
back.deltaSteps = steps
elif isinstance(back, DoubleGrid):
# Ideally, these lines would not be needed...
back.grid0.x = self.x
back.grid0.y = self.y
back.grid0.width = self.width
back.grid0.height = self.height
back.grid1.x = self.x
back.grid1.y = self.y
back.grid1.width = self.width
back.grid1.height = self.height
# some room left for optimization...
if back.grid0.orientation == 'vertical' and xva._tickValues:
xpos = list(map(xva.scale, [xva._valueMin] + xva._tickValues))
steps = []
for i in range(len(xpos)-1):
steps.append(xpos[i+1] - xpos[i])
back.grid0.deltaSteps = steps
elif back.grid0.orientation == 'horizontal' and yva._tickValues:
ypos = list(map(yva.scale, [yva._valueMin] + yva._tickValues))
steps = []
for i in range(len(ypos)-1):
steps.append(ypos[i+1] - ypos[i])
back.grid0.deltaSteps = steps
if back.grid1.orientation == 'vertical' and xva._tickValues:
xpos = list(map(xva.scale, [xva._valueMin] + xva._tickValues))
steps = []
for i in range(len(xpos)-1):
steps.append(xpos[i+1] - xpos[i])
back.grid1.deltaSteps = steps
elif back.grid1.orientation == 'horizontal' and yva._tickValues:
ypos = list(map(yva.scale, [yva._valueMin] + yva._tickValues))
steps = []
for i in range(len(ypos)-1):
steps.append(ypos[i+1] - ypos[i])
back.grid1.deltaSteps = steps
self.calcPositions()
width, height, scaleFactor = self.width, self.height, self.scaleFactor
if scaleFactor and scaleFactor!=1:
#g = Drawing(scaleFactor*width, scaleFactor*height)
g.transform = (scaleFactor, 0, 0, scaleFactor,0,0)
else:
g = Group()
g.add(self.makeBackground())
g.add(self.xValueAxis)
g.add(self.yValueAxis)
g.add(self.makeLines())
return g
class AreaLinePlot(LinePlot):
'''we're given data in the form [(X1,Y11,..Y1M)....(Xn,Yn1,...YnM)]'''#'
def __init__(self):
LinePlot.__init__(self)
self._inFill = 1
self.reversePlotOrder = 1
self.data = [(1,20,100,30),(2,11,50,15),(3,15,70,40)]
def draw(self):
try:
odata = self.data
n = len(odata)
m = len(odata[0])
S = n*[0]
self.data = []
for i in range(1,m):
D = []
for j in range(n):
S[j] = S[j] + odata[j][i]
D.append((odata[j][0],S[j]))
self.data.append(D)
return LinePlot.draw(self)
finally:
self.data = odata
class SplitLinePlot(AreaLinePlot):
def __init__(self):
AreaLinePlot.__init__(self)
self.xValueAxis = NormalDateXValueAxis()
self.yValueAxis = AdjYValueAxis()
self.data=[(20030601,0.95,0.05,0.0),(20030701,0.95,0.05,0.0),(20030801,0.95,0.05,0.0),(20030901,0.95,0.05,0.0),(20031001,0.95,0.05,0.0),(20031101,0.95,0.05,0.0),(20031201,0.95,0.05,0.0),(20040101,0.95,0.05,0.0),(20040201,0.95,0.05,0.0),(20040301,0.95,0.05,0.0),(20040401,0.95,0.05,0.0),(20040501,0.95,0.05,0.0),(20040601,0.95,0.05,0.0),(20040701,0.95,0.05,0.0),(20040801,0.95,0.05,0.0),(20040901,0.95,0.05,0.0),(20041001,0.95,0.05,0.0),(20041101,0.95,0.05,0.0),(20041201,0.95,0.05,0.0),(20050101,0.95,0.05,0.0),(20050201,0.95,0.05,0.0),(20050301,0.95,0.05,0.0),(20050401,0.95,0.05,0.0),(20050501,0.95,0.05,0.0),(20050601,0.95,0.05,0.0),(20050701,0.95,0.05,0.0),(20050801,0.95,0.05,0.0),(20050901,0.95,0.05,0.0),(20051001,0.95,0.05,0.0),(20051101,0.95,0.05,0.0),(20051201,0.95,0.05,0.0),(20060101,0.95,0.05,0.0),(20060201,0.95,0.05,0.0),(20060301,0.95,0.05,0.0),(20060401,0.95,0.05,0.0),(20060501,0.95,0.05,0.0),(20060601,0.95,0.05,0.0),(20060701,0.95,0.05,0.0),(20060801,0.95,0.05,0.0),(20060901,0.95,0.05,0.0),(20061001,0.95,0.05,0.0),(20061101,0.95,0.05,0.0),(20061201,0.95,0.05,0.0),(20070101,0.95,0.05,0.0),(20070201,0.95,0.05,0.0),(20070301,0.95,0.05,0.0),(20070401,0.95,0.05,0.0),(20070501,0.95,0.05,0.0),(20070601,0.95,0.05,0.0),(20070701,0.95,0.05,0.0),(20070801,0.95,0.05,0.0),(20070901,0.95,0.05,0.0),(20071001,0.95,0.05,0.0),(20071101,0.95,0.05,0.0),(20071201,0.95,0.05,0.0),(20080101,0.95,0.05,0.0),(20080201,0.95,0.05,0.0),(20080301,0.95,0.05,0.0),(20080401,0.95,0.05,0.0),(20080501,0.95,0.05,0.0),(20080601,0.95,0.05,0.0),(20080701,0.95,0.05,0.0),(20080801,0.95,0.05,0.0),(20080901,0.95,0.05,0.0),(20081001,0.95,0.05,0.0),(20081101,0.95,0.05,0.0),(20081201,0.95,0.05,0.0),(20090101,0.95,0.05,0.0),(20090201,0.91,0.09,0.0),(20090301,0.91,0.09,0.0),(20090401,0.91,0.09,0.0),(20090501,0.91,0.09,0.0),(20090601,0.91,0.09,0.0),(20090701,0.91,0.09,0.0),(20090801,0.91,0.09,0.0),(20090901,0.91,0.09,0.0),(20091001,0.91,0.09,0.0),(20091101,0.91,0.09,0.0),(20091201,0.91,0.09,0.0),(20100101,0.91,0.09,0.0),(20100201,0.81,0.19,0.0),(20100301,0.81,0.19,0.0),(20100401,0.81,0.19,0.0),(20100501,0.81,0.19,0.0),(20100601,0.81,0.19,0.0),(20100701,0.81,0.19,0.0),(20100801,0.81,0.19,0.0),(20100901,0.81,0.19,0.0),(20101001,0.81,0.19,0.0),(20101101,0.81,0.19,0.0),(20101201,0.81,0.19,0.0),(20110101,0.81,0.19,0.0),(20110201,0.72,0.28,0.0),(20110301,0.72,0.28,0.0),(20110401,0.72,0.28,0.0),(20110501,0.72,0.28,0.0),(20110601,0.72,0.28,0.0),(20110701,0.72,0.28,0.0),(20110801,0.72,0.28,0.0),(20110901,0.72,0.28,0.0),(20111001,0.72,0.28,0.0),(20111101,0.72,0.28,0.0),(20111201,0.72,0.28,0.0),(20120101,0.72,0.28,0.0),(20120201,0.53,0.47,0.0),(20120301,0.53,0.47,0.0),(20120401,0.53,0.47,0.0),(20120501,0.53,0.47,0.0),(20120601,0.53,0.47,0.0),(20120701,0.53,0.47,0.0),(20120801,0.53,0.47,0.0),(20120901,0.53,0.47,0.0),(20121001,0.53,0.47,0.0),(20121101,0.53,0.47,0.0),(20121201,0.53,0.47,0.0),(20130101,0.53,0.47,0.0),(20130201,0.44,0.56,0.0),(20130301,0.44,0.56,0.0),(20130401,0.44,0.56,0.0),(20130501,0.44,0.56,0.0),(20130601,0.44,0.56,0.0),(20130701,0.44,0.56,0.0),(20130801,0.44,0.56,0.0),(20130901,0.44,0.56,0.0),(20131001,0.44,0.56,0.0),(20131101,0.44,0.56,0.0),(20131201,0.44,0.56,0.0),(20140101,0.44,0.56,0.0),(20140201,0.36,0.5,0.14),(20140301,0.36,0.5,0.14),(20140401,0.36,0.5,0.14),(20140501,0.36,0.5,0.14),(20140601,0.36,0.5,0.14),(20140701,0.36,0.5,0.14),(20140801,0.36,0.5,0.14),(20140901,0.36,0.5,0.14),(20141001,0.36,0.5,0.14),(20141101,0.36,0.5,0.14),(20141201,0.36,0.5,0.14),(20150101,0.36,0.5,0.14),(20150201,0.3,0.41,0.29),(20150301,0.3,0.41,0.29),(20150401,0.3,0.41,0.29),(20150501,0.3,0.41,0.29),(20150601,0.3,0.41,0.29),(20150701,0.3,0.41,0.29),(20150801,0.3,0.41,0.29),(20150901,0.3,0.41,0.29),(20151001,0.3,0.41,0.29),(20151101,0.3,0.41,0.29),(20151201,0.3,0.41,0.29),(20160101,0.3,0.41,0.29),(20160201,0.26,0.36,0.38),(20160301,0.26,0.36,0.38),(20160401,0.26,0.36,0.38),(20160501,0.26,0.36,0.38),(20160601,0.26,0.36,0.38),(20160701,0.26,0.36,0.38),(20160801,0.26,0.36,0.38),(20160901,0.26,0.36,0.38),(20161001,0.26,0.36,0.38),(20161101,0.26,0.36,0.38),(20161201,0.26,0.36,0.38),(20170101,0.26,0.36,0.38),(20170201,0.2,0.3,0.5),(20170301,0.2,0.3,0.5),(20170401,0.2,0.3,0.5),(20170501,0.2,0.3,0.5),(20170601,0.2,0.3,0.5),(20170701,0.2,0.3,0.5),(20170801,0.2,0.3,0.5),(20170901,0.2,0.3,0.5),(20171001,0.2,0.3,0.5),(20171101,0.2,0.3,0.5),(20171201,0.2,0.3,0.5),(20180101,0.2,0.3,0.5),(20180201,0.13,0.37,0.5),(20180301,0.13,0.37,0.5),(20180401,0.13,0.37,0.5),(20180501,0.13,0.37,0.5),(20180601,0.13,0.37,0.5),(20180701,0.13,0.37,0.5),(20180801,0.13,0.37,0.5),(20180901,0.13,0.37,0.5),(20181001,0.13,0.37,0.5),(20181101,0.13,0.37,0.5),(20181201,0.13,0.37,0.5),(20190101,0.13,0.37,0.5),(20190201,0.1,0.4,0.5),(20190301,0.1,0.4,0.5),(20190401,0.1,0.4,0.5),(20190501,0.1,0.4,0.5),(20190601,0.1,0.4,0.5),(20190701,0.1,0.4,0.5),(20190801,0.1,0.4,0.5),(20190901,0.1,0.4,0.5),(20191001,0.1,0.4,0.5),(20191101,0.1,0.4,0.5),(20191201,0.1,0.4,0.5),(20200101,0.1,0.4,0.5)]
self.yValueAxis.requiredRange = None
self.yValueAxis.leftAxisPercent = 0
self.yValueAxis.leftAxisOrigShiftMin = 0
self.yValueAxis.leftAxisOrigShiftIPC = 0
self.lines[0].strokeColor = colors.toColor(0x0033cc)
self.lines[1].strokeColor = colors.toColor(0x99c3ff)
self.lines[2].strokeColor = colors.toColor(0xCC0033)
def _maxWidth(T, fontName, fontSize):
'''return max stringWidth for the list of strings T'''
if not isinstance(T,(tuple,list)): T = (T,)
T = [_f for _f in T if _f]
return T and max(list(map(lambda t,sW=stringWidth,fN=fontName, fS=fontSize: sW(t,fN,fS),T))) or 0
class ScatterPlot(LinePlot):
"""A scatter plot widget"""
_attrMap = AttrMap(BASE=LinePlot,
width = AttrMapValue(isNumber, desc="Width of the area inside the axes"),
height = AttrMapValue(isNumber, desc="Height of the area inside the axes"),
outerBorderOn = AttrMapValue(isBoolean, desc="Is there an outer border (continuation of axes)"),
outerBorderColor = AttrMapValue(isColorOrNone, desc="Color of outer border (if any)"),
labelOffset = AttrMapValue(isNumber, desc="Space between label and Axis (or other labels)",advancedUsage=1),
axisTickLengths = AttrMapValue(isNumber, desc="Lenth of the ticks on both axes"),
axisStrokeWidth = AttrMapValue(isNumber, desc="Stroke width for both axes"),
xLabel = AttrMapValue(isString, desc="Label for the whole X-Axis"),
yLabel = AttrMapValue(isString, desc="Label for the whole Y-Axis"),
data = AttrMapValue(isAnything, desc='Data points - a list of x/y tuples.'),
strokeColor = AttrMapValue(isColorOrNone, desc='Color used for border of plot area.'),
fillColor = AttrMapValue(isColorOrNone, desc='Color used for background interior of plot area.'),
leftPadding = AttrMapValue(isNumber, desc='Padding on left of drawing'),
rightPadding = AttrMapValue(isNumber, desc='Padding on right of drawing'),
topPadding = AttrMapValue(isNumber, desc='Padding at top of drawing'),
bottomPadding = AttrMapValue(isNumber, desc='Padding at bottom of drawing'),
)
def __init__(self):
LinePlot.__init__(self)
self.width = 142
self.height = 77
self.outerBorderOn = 1
self.outerBorderColor = colors.black
self.background = None
_labelOffset = 3
_axisTickLengths = 2
_axisStrokeWidth = 0.5
self.yValueAxis.valueMin = None
self.yValueAxis.valueMax = None
self.yValueAxis.valueStep = None
self.yValueAxis.labelTextFormat = '%s'
self.xLabel="X Lable"
self.xValueAxis.labels.fontSize = 6
self.yLabel="Y Lable"
self.yValueAxis.labels.fontSize = 6
self.data =[((0.030, 62.73),
(0.074, 54.363),
(1.216, 17.964)),
((1.360, 11.621),
(1.387, 50.011),
(1.428, 68.953)),
((1.444, 86.888),
(1.754, 35.58),
(1.766, 36.05))]
#values for lineplot
self.joinedLines = 0
self.leftPadding=5
self.rightPadding=10
self.topPadding=5
self.bottomPadding=5
self.x = self.leftPadding+_axisTickLengths+(_labelOffset*2)
self.x=self.x+_maxWidth(str(self.yValueAxis.valueMax), self.yValueAxis.labels.fontName, self.yValueAxis.labels.fontSize)
self.y = self.bottomPadding+_axisTickLengths+_labelOffset+self.xValueAxis.labels.fontSize
self.xValueAxis.labels.dy = -_labelOffset
self.xValueAxis.tickDown = _axisTickLengths
self.xValueAxis.strokeWidth = _axisStrokeWidth
self.xValueAxis.rangeRound='both'
self.yValueAxis.labels.dx = -_labelOffset
self.yValueAxis.tickLeft = _axisTickLengths
self.yValueAxis.strokeWidth = _axisStrokeWidth
self.yValueAxis.rangeRound='both'
self.lineLabelFormat="%.2f"
self.lineLabels.fontSize = 5
self.lineLabels.boxAnchor = 'e'
self.lineLabels.dx = -2
self.lineLabelNudge = 0
self.lines.symbol=makeMarker('FilledCircle',size=3)
self.lines[1].symbol=makeMarker('FilledDiamond',size=3)
self.lines[2].symbol=makeMarker('FilledSquare',size=3)
self.lines[2].strokeColor = colors.green
def _getDrawingDimensions(self):
tx = self.leftPadding+self.yValueAxis.tickLeft+(self.yValueAxis.labels.dx*2)+self.xValueAxis.labels.fontSize
tx=tx+(5*_maxWidth(str(self.yValueAxis.valueMax), self.yValueAxis.labels.fontName, self.yValueAxis.labels.fontSize))
tx=tx+self.width+self.rightPadding
t=('%.2f%%'%self.xValueAxis.valueMax)
tx=tx+(_maxWidth(t, self.yValueAxis.labels.fontName, self.yValueAxis.labels.fontSize))
ty = self.bottomPadding+self.xValueAxis.tickDown+(self.xValueAxis.labels.dy*2)+(self.xValueAxis.labels.fontSize*2)
ty=ty+self.yValueAxis.labels.fontSize+self.height+self.topPadding
#print (tx, ty)
return (tx,ty)
def demo(self,drawing=None):
if not drawing:
tx,ty=self._getDrawingDimensions()
drawing = Drawing(tx,ty)
drawing.add(self.draw())
return drawing
def draw(self):
ascent=getFont(self.xValueAxis.labels.fontName).face.ascent
if ascent==0:
ascent=0.718 # default (from helvetica)
ascent=ascent*self.xValueAxis.labels.fontSize # normalize
#basic LinePlot - does the Axes, Ticks etc
lp = LinePlot.draw(self)
xLabel = self.xLabel
if xLabel: #Overall label for the X-axis
xl=Label()
xl.x = (self.x+self.width)/2.0
xl.y = 0
xl.fontName = self.xValueAxis.labels.fontName
xl.fontSize = self.xValueAxis.labels.fontSize
xl.setText(xLabel)
lp.add(xl)
yLabel = self.yLabel
if yLabel: #Overall label for the Y-axis
yl=Label()
yl.angle = 90
yl.x = 0
yl.y = (self.y+self.height/2.0)
yl.fontName = self.yValueAxis.labels.fontName
yl.fontSize = self.yValueAxis.labels.fontSize
yl.setText(yLabel)
lp.add(yl)
# do a bounding box - in the same style as the axes
if self.outerBorderOn:
lp.add(Rect(self.x, self.y, self.width, self.height,
strokeColor = self.outerBorderColor,
strokeWidth = self.yValueAxis.strokeWidth,
fillColor = None))
lp.shift(self.leftPadding, self.bottomPadding)
return lp
def sample1a():
"A line plot with non-equidistant points in x-axis."
drawing = Drawing(400, 200)
data = [
((1,1), (2,2), (2.5,1), (3,3), (4,5)),
((1,2), (2,3), (2.5,2), (3.5,5), (4,6))
]
lp = LinePlot()
lp.x = 50
lp.y = 50
lp.height = 125
lp.width = 300
lp.data = data
lp.joinedLines = 1
lp.strokeColor = colors.black
lp.lines.symbol = makeMarker('UK_Flag')
lp.lines[0].strokeWidth = 2
lp.lines[1].strokeWidth = 4
lp.xValueAxis.valueMin = 0
lp.xValueAxis.valueMax = 5
lp.xValueAxis.valueStep = 1
lp.yValueAxis.valueMin = 0
lp.yValueAxis.valueMax = 7
lp.yValueAxis.valueStep = 1
drawing.add(lp)
return drawing
def sample1b():
"A line plot with non-equidistant points in x-axis."
drawing = Drawing(400, 200)
data = [
((1,1), (2,2), (2.5,1), (3,3), (4,5)),
((1,2), (2,3), (2.5,2), (3.5,5), (4,6))
]
lp = LinePlot()
lp.x = 50
lp.y = 50
lp.height = 125
lp.width = 300
lp.data = data
lp.joinedLines = 1
lp.lines.symbol = makeMarker('Circle')
lp.lineLabelFormat = '%2.0f'
lp.strokeColor = colors.black
lp.xValueAxis.valueMin = 0
lp.xValueAxis.valueMax = 5
lp.xValueAxis.valueSteps = [1, 2, 2.5, 3, 4, 5]
lp.xValueAxis.labelTextFormat = '%2.1f'
lp.yValueAxis.valueMin = 0
lp.yValueAxis.valueMax = 7
lp.yValueAxis.valueStep = 1
drawing.add(lp)
return drawing
def sample1c():
"A line plot with non-equidistant points in x-axis."
drawing = Drawing(400, 200)
data = [
((1,1), (2,2), (2.5,1), (3,3), (4,5)),
((1,2), (2,3), (2.5,2), (3.5,5), (4,6))
]
lp = LinePlot()
lp.x = 50
lp.y = 50
lp.height = 125
lp.width = 300
lp.data = data
lp.joinedLines = 1
lp.lines[0].symbol = makeMarker('FilledCircle')
lp.lines[1].symbol = makeMarker('Circle')
lp.lineLabelFormat = '%2.0f'
lp.strokeColor = colors.black
lp.xValueAxis.valueMin = 0
lp.xValueAxis.valueMax = 5
lp.xValueAxis.valueSteps = [1, 2, 2.5, 3, 4, 5]
lp.xValueAxis.labelTextFormat = '%2.1f'
lp.yValueAxis.valueMin = 0
lp.yValueAxis.valueMax = 7
lp.yValueAxis.valueSteps = [1, 2, 3, 5, 6]
drawing.add(lp)
return drawing
def preprocessData(series):
"Convert date strings into seconds and multiply values by 100."
return [(str2seconds(x[0]), x[1]*100) for x in series]
def sample2():
"A line plot with non-equidistant points in x-axis."
drawing = Drawing(400, 200)
data = [
(('25/11/1991',1),
('30/11/1991',1.000933333),
('31/12/1991',1.0062),
('31/01/1992',1.0112),
('29/02/1992',1.0158),
('31/03/1992',1.020733333),
('30/04/1992',1.026133333),
('31/05/1992',1.030266667),
('30/06/1992',1.034466667),
('31/07/1992',1.038733333),
('31/08/1992',1.0422),
('30/09/1992',1.045533333),
('31/10/1992',1.049866667),
('30/11/1992',1.054733333),
('31/12/1992',1.061),
),
]
data[0] = preprocessData(data[0])
lp = LinePlot()
lp.x = 50
lp.y = 50
lp.height = 125
lp.width = 300
lp.data = data
lp.joinedLines = 1
lp.lines.symbol = makeMarker('FilledDiamond')
lp.strokeColor = colors.black
start = mktime(mkTimeTuple('25/11/1991'))
t0 = mktime(mkTimeTuple('30/11/1991'))
t1 = mktime(mkTimeTuple('31/12/1991'))
t2 = mktime(mkTimeTuple('31/03/1992'))
t3 = mktime(mkTimeTuple('30/06/1992'))
t4 = mktime(mkTimeTuple('30/09/1992'))
end = mktime(mkTimeTuple('31/12/1992'))
lp.xValueAxis.valueMin = start
lp.xValueAxis.valueMax = end
lp.xValueAxis.valueSteps = [start, t0, t1, t2, t3, t4, end]
lp.xValueAxis.labelTextFormat = seconds2str
lp.xValueAxis.labels[1].dy = -20
lp.xValueAxis.labels[2].dy = -35
lp.yValueAxis.labelTextFormat = '%4.2f'
lp.yValueAxis.valueMin = 100
lp.yValueAxis.valueMax = 110
lp.yValueAxis.valueStep = 2
drawing.add(lp)
return drawing
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