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#Copyright ReportLab Europe Ltd. 2000-2017
#see license.txt for license details
__version__='3.3.0'
__doc__="""Collection of axes for charts.
The current collection comprises axes for charts using cartesian
coordinate systems. All axes might have tick marks and labels.
There are two dichotomies for axes: one of X and Y flavours and
another of category and value flavours.
Category axes have an ordering but no metric. They are divided
into a number of equal-sized buckets. Their tick marks or labels,
if available, go BETWEEN the buckets, and the labels are placed
below to/left of the X/Y-axis, respectively.
Value axes have an ordering AND metric. They correspond to a nu-
meric quantity. Value axis have a real number quantity associated
with it. The chart tells it where to go.
The most basic axis divides the number line into equal spaces
and has tickmarks and labels associated with each; later we
will add variants where you can specify the sampling
interval.
The charts using axis tell them where the labels should be placed.
Axes of complementary X/Y flavours can be connected to each other
in various ways, i.e. with a specific reference point, like an
x/value axis to a y/value (or category) axis. In this case the
connection can be either at the top or bottom of the former or
at any absolute value (specified in points) or at some value of
the former axes in its own coordinate system.
"""
from math import log10 as math_log10
from reportlab import xrange
from reportlab.lib.validators import isNumber, isNumberOrNone, isListOfStringsOrNone, isListOfNumbers, \
isListOfNumbersOrNone, isColorOrNone, OneOf, isBoolean, SequenceOf, \
isString, EitherOr, Validator, NoneOr, isInstanceOf, \
isNormalDate, isNoneOrCallable
from reportlab.lib.attrmap import *
from reportlab.lib import normalDate
from reportlab.graphics.shapes import Drawing, Line, PolyLine, Rect, Group, STATE_DEFAULTS, _textBoxLimits, _rotatedBoxLimits
from reportlab.graphics.widgetbase import Widget, TypedPropertyCollection
from reportlab.graphics.charts.textlabels import Label, PMVLabel, XLabel, DirectDrawFlowable
from reportlab.graphics.charts.utils import nextRoundNumber
from reportlab.graphics.widgets.grids import ShadedRect
from reportlab.lib.colors import Color
from reportlab.lib.utils import isSeq
from reportlab import xrange
import copy
try:
reduce # Python 2.x
except NameError:
from functools import reduce
# Helpers.
def _findMinMaxValue(V, x, default, func, special=None):
if isSeq(V[0][0]):
if special:
f=lambda T,x=x,special=special,func=func: special(T,x,func)
else:
f=lambda T,x=x: T[x]
V=list(map(lambda e,f=f: list(map(f,e)),V))
V = list(filter(len,[[x for x in x if x is not None] for x in V]))
if len(V)==0: return default
return func(list(map(func,V)))
def _findMin(V, x, default,special=None):
'''find minimum over V[i][x]'''
return _findMinMaxValue(V,x,default,min,special=special)
def _findMax(V, x, default,special=None):
'''find maximum over V[i][x]'''
return _findMinMaxValue(V,x,default,max,special=special)
def _allInt(values):
'''true if all values are int'''
for v in values:
try:
if int(v)!=v: return 0
except:
return 0
return 1
class AxisLabelAnnotation:
'''Create a grid like line using the given user value to draw the line
v value to use
kwds may contain
scaleValue True/not given --> scale the value
otherwise use the absolute value
labelClass the label class to use default Label
all Label keywords are acceptable (including say _text)
'''
def __init__(self,v,**kwds):
self._v = v
self._kwds = kwds
def __call__(self,axis):
kwds = self._kwds.copy()
labelClass = kwds.pop('labelClass',Label)
scaleValue = kwds.pop('scaleValue',True)
if not hasattr(axis,'_tickValues'):
axis._pseudo_configure()
sv = (axis.scale if scaleValue else lambda x: x)(self._v)
if axis.isYAxis:
x = axis._x
y = sv
else:
x = sv
y = axis._y
kwds['x'] = x
kwds['y'] = y
return labelClass(**kwds)
class AxisLineAnnotation:
'''Create a grid like line using the given user value to draw the line
kwds may contain
startOffset if true v is offset from the default grid start position
endOffset if true v is offset from the default grid end position
scaleValue True/not given --> scale the value
otherwise use the absolute value
lo lowest coordinate to draw default 0
hi highest coordinate to draw at default = length
drawAtLimit True draw line at appropriate limit if its coordinate exceeds the lo, hi range
False ignore if it's outside the range
all Line keywords are acceptable
'''
def __init__(self,v,**kwds):
self._v = v
self._kwds = kwds
def __call__(self,axis):
kwds = self._kwds.copy()
scaleValue = kwds.pop('scaleValue',True)
endOffset = kwds.pop('endOffset',False)
startOffset = kwds.pop('startOffset',False)
if axis.isYAxis:
offs = axis._x
d0 = axis._y
else:
offs = axis._y
d0 = axis._x
s = kwds.pop('start',None)
e = kwds.pop('end',None)
if s is None or e is None:
dim = getattr(getattr(axis,'joinAxis',None),'getGridDims',None)
if dim and hasattr(dim,'__call__'):
dim = dim()
if dim:
if s is None: s = dim[0]
if e is None: e = dim[1]
else:
if s is None: s = 0
if e is None: e = 0
hi = kwds.pop('hi',axis._length)+d0
lo = kwds.pop('lo',0)+d0
lo,hi=min(lo,hi),max(lo,hi)
drawAtLimit = kwds.pop('drawAtLimit',False)
oaglp = axis._get_line_pos
if not scaleValue:
axis._get_line_pos = lambda x: x
try:
v = self._v
if endOffset:
v = v + hi
elif startOffset:
v = v + lo
func = axis._getLineFunc(s-offs,e-offs,kwds.pop('parent',None))
if not hasattr(axis,'_tickValues'):
axis._pseudo_configure()
d = axis._get_line_pos(v)
if d<lo or d>hi:
if not drawAtLimit: return None
if d<lo:
d = lo
else:
d = hi
axis._get_line_pos = lambda x: d
L = func(v)
for k,v in kwds.items():
setattr(L,k,v)
finally:
axis._get_line_pos = oaglp
return L
class AxisBackgroundAnnotation:
'''Create a set of coloured bars on the background of a chart using axis ticks as the bar borders
colors is a set of colors to use for the background bars. A colour of None is just a skip.
Special effects if you pass a rect or Shaded rect instead.
'''
def __init__(self,colors,**kwds):
self._colors = colors
self._kwds = kwds
def __call__(self,axis):
colors = self._colors
if not colors: return
kwds = self._kwds.copy()
isYAxis = axis.isYAxis
if isYAxis:
offs = axis._x
d0 = axis._y
else:
offs = axis._y
d0 = axis._x
s = kwds.pop('start',None)
e = kwds.pop('end',None)
if s is None or e is None:
dim = getattr(getattr(axis,'joinAxis',None),'getGridDims',None)
if dim and hasattr(dim,'__call__'):
dim = dim()
if dim:
if s is None: s = dim[0]
if e is None: e = dim[1]
else:
if s is None: s = 0
if e is None: e = 0
if not hasattr(axis,'_tickValues'):
axis._pseudo_configure()
tv = getattr(axis,'_tickValues',None)
if not tv: return
G = Group()
ncolors = len(colors)
v0 = axis._get_line_pos(tv[0])
for i in xrange(1,len(tv)):
v1 = axis._get_line_pos(tv[i])
c = colors[(i-1)%ncolors]
if c:
if isYAxis:
y = v0
x = s
height = v1-v0
width = e-s
else:
x = v0
y = s
width = v1-v0
height = e-s
if isinstance(c,Color):
r = Rect(x,y,width,height,fillColor=c,strokeColor=None)
elif isinstance(c,Rect):
r = Rect(x,y,width,height)
for k in c.__dict__:
if k not in ('x','y','width','height'):
setattr(r,k,getattr(c,k))
elif isinstance(c,ShadedRect):
r = ShadedRect(x=x,y=y,width=width,height=height)
for k in c.__dict__:
if k not in ('x','y','width','height'):
setattr(r,k,getattr(c,k))
G.add(r)
v0 = v1
return G
class TickLU:
'''lookup special cases for tick values'''
def __init__(self,*T,**kwds):
self.accuracy = kwds.pop('accuracy',1e-8)
self.T = T
def __contains__(self,t):
accuracy = self.accuracy
for x,v in self.T:
if abs(x-t)<accuracy:
return True
return False
def __getitem__(self,t):
accuracy = self.accuracy
for x,v in self.T:
if abs(x-t)<self.accuracy:
return v
raise IndexError('cannot locate index %r' % t)
class _AxisG(Widget):
def _get_line_pos(self,v):
v = self.scale(v)
try:
v = v[0]
except:
pass
return v
def _cxLine(self,x,start,end):
x = self._get_line_pos(x)
return Line(x, self._y + start, x, self._y + end)
def _cyLine(self,y,start,end):
y = self._get_line_pos(y)
return Line(self._x + start, y, self._x + end, y)
def _cxLine3d(self,x,start,end,_3d_dx,_3d_dy):
x = self._get_line_pos(x)
y0 = self._y + start
y1 = self._y + end
y0, y1 = min(y0,y1),max(y0,y1)
x1 = x + _3d_dx
return PolyLine([x,y0,x1,y0+_3d_dy,x1,y1+_3d_dy],strokeLineJoin=1)
def _cyLine3d(self,y,start,end,_3d_dx,_3d_dy):
y = self._get_line_pos(y)
x0 = self._x + start
x1 = self._x + end
x0, x1 = min(x0,x1),max(x0,x1)
y1 = y + _3d_dy
return PolyLine([x0,y,x0+_3d_dx,y1,x1+_3d_dx,y1],strokeLineJoin=1)
def _getLineFunc(self, start, end, parent=None):
_3d_dx = getattr(parent,'_3d_dx',None)
if _3d_dx is not None:
_3d_dy = getattr(parent,'_3d_dy',None)
f = self.isYAxis and self._cyLine3d or self._cxLine3d
return lambda v, s=start, e=end, f=f,_3d_dx=_3d_dx,_3d_dy=_3d_dy: f(v,s,e,_3d_dx=_3d_dx,_3d_dy=_3d_dy)
else:
f = self.isYAxis and self._cyLine or self._cxLine
return lambda v, s=start, e=end, f=f: f(v,s,e)
def _makeLines(self,g,start,end,strokeColor,strokeWidth,strokeDashArray,strokeLineJoin,strokeLineCap,strokeMiterLimit,parent=None,exclude=[],specials={}):
func = self._getLineFunc(start,end,parent)
if not hasattr(self,'_tickValues'):
self._pseudo_configure()
if exclude:
exf = self.isYAxis and (lambda l: l.y1 in exclude) or (lambda l: l.x1 in exclude)
else:
exf = None
for t in self._tickValues:
L = func(t)
if exf and exf(L): continue
L.strokeColor = strokeColor
L.strokeWidth = strokeWidth
L.strokeDashArray = strokeDashArray
L.strokeLineJoin = strokeLineJoin
L.strokeLineCap = strokeLineCap
L.strokeMiterLimit = strokeMiterLimit
if t in specials:
for a,v in specials[t].items():
setattr(L,a,v)
g.add(L)
def makeGrid(self,g,dim=None,parent=None,exclude=[]):
'''this is only called by a container object'''
c = self.gridStrokeColor
w = self.gridStrokeWidth or 0
if w and c and self.visibleGrid:
s = self.gridStart
e = self.gridEnd
if s is None or e is None:
if dim and hasattr(dim,'__call__'):
dim = dim()
if dim:
if s is None: s = dim[0]
if e is None: e = dim[1]
else:
if s is None: s = 0
if e is None: e = 0
if s or e:
if self.isYAxis: offs = self._x
else: offs = self._y
self._makeLines(g,s-offs,e-offs,c,w,self.gridStrokeDashArray,self.gridStrokeLineJoin,self.gridStrokeLineCap,self.gridStrokeMiterLimit,parent=parent,exclude=exclude,specials=getattr(self,'_gridSpecials',{}))
self._makeSubGrid(g,dim,parent,exclude=[])
def _makeSubGrid(self,g,dim=None,parent=None,exclude=[]):
'''this is only called by a container object'''
if not (getattr(self,'visibleSubGrid',0) and self.subTickNum>0): return
c = self.subGridStrokeColor
w = self.subGridStrokeWidth or 0
if not(w and c): return
s = self.subGridStart
e = self.subGridEnd
if s is None or e is None:
if dim and hasattr(dim,'__call__'):
dim = dim()
if dim:
if s is None: s = dim[0]
if e is None: e = dim[1]
else:
if s is None: s = 0
if e is None: e = 0
if s or e:
if self.isYAxis: offs = self._x
else: offs = self._y
otv = self._calcSubTicks()
try:
self._makeLines(g,s-offs,e-offs,c,w,self.subGridStrokeDashArray,self.subGridStrokeLineJoin,self.subGridStrokeLineCap,self.subGridStrokeMiterLimit,parent=parent,exclude=exclude)
finally:
self._tickValues = otv
def getGridDims(self,start=None,end=None):
if start is None: start = (self._x,self._y)[self.isYAxis]
if end is None: end = start+self._length
return start,end
def isYAxis(self):
if getattr(self,'_dataIndex',None)==1: return True
acn = self.__class__.__name__
return acn[0]=='Y' or acn[:4]=='AdjY'
isYAxis = property(isYAxis)
def isXAxis(self):
if getattr(self,'_dataIndex',None)==0: return True
acn = self.__class__.__name__
return acn[0]=='X' or acn[:11]=='NormalDateX'
isXAxis = property(isXAxis)
def addAnnotations(self,g,A=None):
if A is None: getattr(self,'annotations',[])
for x in A:
g.add(x(self))
def _splitAnnotations(self):
A = getattr(self,'annotations',[])[:]
D = {}
for v in ('early','beforeAxis','afterAxis','beforeTicks',
'afterTicks','beforeTickLabels',
'afterTickLabels','late'):
R = [].append
P = [].append
for a in A:
if getattr(a,v,0):
R(a)
else:
P(a)
D[v] = R.__self__
A[:] = P.__self__
D['late'] += A
return D
def draw(self):
g = Group()
A = self._splitAnnotations()
self.addAnnotations(g,A['early'])
if self.visible:
self.addAnnotations(g,A['beforeAxis'])
g.add(self.makeAxis())
self.addAnnotations(g,A['afterAxis'])
self.addAnnotations(g,A['beforeTicks'])
g.add(self.makeTicks())
self.addAnnotations(g,A['afterTicks'])
self.addAnnotations(g,A['beforeTickLabels'])
g.add(self.makeTickLabels())
self.addAnnotations(g,A['afterTickLabels'])
self.addAnnotations(g,A['late'])
return g
class CALabel(PMVLabel):
_attrMap = AttrMap(BASE=PMVLabel,
labelPosFrac = AttrMapValue(isNumber, desc='where in the category range [0,1] the labels should be anchored'),
)
def __init__(self,**kw):
PMVLabel.__init__(self,**kw)
self._setKeywords(
labelPosFrac = 0.5,
)
# Category axes.
class CategoryAxis(_AxisG):
"Abstract category axis, unusable in itself."
_nodoc = 1
_attrMap = AttrMap(
visible = AttrMapValue(isBoolean, desc='Display entire object, if true.'),
visibleAxis = AttrMapValue(isBoolean, desc='Display axis line, if true.'),
visibleTicks = AttrMapValue(isBoolean, desc='Display axis ticks, if true.'),
visibleLabels = AttrMapValue(isBoolean, desc='Display axis labels, if true.'),
visibleGrid = AttrMapValue(isBoolean, desc='Display axis grid, if true.'),
strokeWidth = AttrMapValue(isNumber, desc='Width of axis line and ticks.'),
strokeColor = AttrMapValue(isColorOrNone, desc='Color of axis line and ticks.'),
strokeDashArray = AttrMapValue(isListOfNumbersOrNone, desc='Dash array used for axis line.'),
strokeLineCap = AttrMapValue(OneOf(0,1,2),desc="Line cap 0=butt, 1=round & 2=square"),
strokeLineJoin = AttrMapValue(OneOf(0,1,2),desc="Line join 0=miter, 1=round & 2=bevel"),
strokeMiterLimit = AttrMapValue(isNumber,desc="miter limit control miter line joins"),
gridStrokeWidth = AttrMapValue(isNumber, desc='Width of grid lines.'),
gridStrokeColor = AttrMapValue(isColorOrNone, desc='Color of grid lines.'),
gridStrokeDashArray = AttrMapValue(isListOfNumbersOrNone, desc='Dash array used for grid lines.'),
gridStrokeLineCap = AttrMapValue(OneOf(0,1,2),desc="Grid Line cap 0=butt, 1=round & 2=square"),
gridStrokeLineJoin = AttrMapValue(OneOf(0,1,2),desc="Grid Line join 0=miter, 1=round & 2=bevel"),
gridStrokeMiterLimit = AttrMapValue(isNumber,desc="Grid miter limit control miter line joins"),
gridStart = AttrMapValue(isNumberOrNone, desc='Start of grid lines wrt axis origin'),
gridEnd = AttrMapValue(isNumberOrNone, desc='End of grid lines wrt axis origin'),
drawGridLast = AttrMapValue(isBoolean, desc='if true draw gridlines after everything else.'),
labels = AttrMapValue(None, desc='Handle of the axis labels.'),
categoryNames = AttrMapValue(isListOfStringsOrNone, desc='List of category names.'),
joinAxis = AttrMapValue(None, desc='Join both axes if true.'),
joinAxisPos = AttrMapValue(isNumberOrNone, desc='Position at which to join with other axis.'),
reverseDirection = AttrMapValue(isBoolean, desc='If true reverse category direction.'),
style = AttrMapValue(OneOf('parallel','stacked','parallel_3d'),"How common category bars are plotted"),
labelAxisMode = AttrMapValue(OneOf('high','low','axis', 'axispmv'), desc="Like joinAxisMode, but for the axis labels"),
tickShift = AttrMapValue(isBoolean, desc='Tick shift typically'),
tickStrokeWidth = AttrMapValue(isNumberOrNone, desc='Width of ticks if specified.'),
tickStrokeColor = AttrMapValue(isColorOrNone, desc='Color of ticks if specified.'),
loPad = AttrMapValue(isNumber, desc='extra inner space before start of the axis'),
hiPad = AttrMapValue(isNumber, desc='extra inner space after end of the axis'),
annotations = AttrMapValue(None,desc='list of annotations'),
loLLen = AttrMapValue(isNumber, desc='extra line length before start of the axis'),
hiLLen = AttrMapValue(isNumber, desc='extra line length after end of the axis'),
skipGrid = AttrMapValue(OneOf('none','top','both','bottom'),"grid lines to skip top bottom both none"),
innerTickDraw = AttrMapValue(isNoneOrCallable, desc="Callable to replace _drawInnerTicks"),
)
def __init__(self):
assert self.__class__.__name__!='CategoryAxis', "Abstract Class CategoryAxis Instantiated"
# private properties set by methods. The initial values
# here are to make demos easy; they would always be
# overridden in real life.
self._x = 50
self._y = 50
self._length = 100
self._catCount = 0
# public properties
self.visible = 1
self.visibleAxis = 1
self.visibleTicks = 1
self.visibleLabels = 1
self.visibleGrid = 0
self.drawGridLast = False
self.strokeWidth = 1
self.strokeColor = STATE_DEFAULTS['strokeColor']
self.strokeDashArray = STATE_DEFAULTS['strokeDashArray']
self.gridStrokeLineJoin = self.strokeLineJoin = STATE_DEFAULTS['strokeLineJoin']
self.gridStrokeLineCap = self.strokeLineCap = STATE_DEFAULTS['strokeLineCap']
self.gridStrokeMiterLimit = self.strokeMiterLimit = STATE_DEFAULTS['strokeMiterLimit']
self.gridStrokeWidth = 0.25
self.gridStrokeColor = STATE_DEFAULTS['strokeColor']
self.gridStrokeDashArray = STATE_DEFAULTS['strokeDashArray']
self.gridStart = self.gridEnd = None
self.strokeLineJoin = STATE_DEFAULTS['strokeLineJoin']
self.strokeLineCap = STATE_DEFAULTS['strokeLineCap']
self.strokeMiterLimit = STATE_DEFAULTS['strokeMiterLimit']
self.labels = TypedPropertyCollection(CALabel)
# if None, they don't get labels. If provided,
# you need one name per data point and they are
# used for label text.
self.categoryNames = None
self.joinAxis = None
self.joinAxisPos = None
self.joinAxisMode = None
self.labelAxisMode = 'axis'
self.reverseDirection = 0
self.style = 'parallel'
#various private things which need to be initialized
self._labelTextFormat = None
self.tickShift = 0
self.loPad = 0
self.hiPad = 0
self.loLLen = 0
self.hiLLen = 0
def setPosition(self, x, y, length):
# ensure floating point
self._x = float(x)
self._y = float(y)
self._length = float(length)
def configure(self, multiSeries,barWidth=None):
self._catCount = max(list(map(len,multiSeries)))
self._barWidth = barWidth or ((self._length-self.loPad-self.hiPad)/float(self._catCount or 1))
self._calcTickmarkPositions()
if self.labelAxisMode == 'axispmv':
self._pmv = [sum([series[i] for series in multiSeries]) for i in xrange(self._catCount)]
def _calcTickmarkPositions(self):
n = self._catCount
if self.tickShift:
self._tickValues = [t+0.5 for t in xrange(n)]
else:
if self.reverseDirection:
self._tickValues = list(xrange(-1,n))
else:
self._tickValues = list(xrange(n+1))
def _scale(self,idx):
if self.reverseDirection: idx = self._catCount-idx-1
return idx
def scale(self, idx):
"Returns the position and width in drawing units"
return (self.loScale(idx), self._barWidth)
def midScale(self, idx):
"Returns the bar mid position in drawing units"
return self.loScale(idx) + 0.5*self._barWidth
def _assertYAxis(axis):
assert axis.isYAxis, "Cannot connect to other axes (%s), but Y- ones." % axis.__class__.__name__
def _assertXAxis(axis):
assert axis.isXAxis, "Cannot connect to other axes (%s), but X- ones." % axis.__class__.__name__
class _XTicks:
_tickTweaks = 0 #try 0.25-0.5
@property
def actualTickStrokeWidth(self):
return getattr(self,'tickStrokeWidth',self.strokeWidth)
@property
def actualTickStrokeColor(self):
return getattr(self,'tickStrokeColor',self.strokeColor)
def _drawTicksInner(self,tU,tD,g):
itd = getattr(self,'innerTickDraw',None)
if itd:
itd(self,tU,tD,g)
elif tU or tD:
sW = self.actualTickStrokeWidth
tW = self._tickTweaks
if tW:
if tU and not tD:
tD = tW*sW
elif tD and not tU:
tU = tW*sW
self._makeLines(g,tU,-tD,self.actualTickStrokeColor,sW,self.strokeDashArray,self.strokeLineJoin,self.strokeLineCap,self.strokeMiterLimit)
def _drawTicks(self,tU,tD,g=None):
g = g or Group()
if self.visibleTicks:
self._drawTicksInner(tU,tD,g)
return g
def _drawSubTicks(self,tU,tD,g):
if getattr(self,'visibleSubTicks',0) and self.subTickNum>0:
otv = self._calcSubTicks()
try:
self._subTicking = 1
self._drawTicksInner(tU,tD,g)
finally:
del self._subTicking
self._tickValues = otv
def makeTicks(self):
yold=self._y
try:
self._y = self._labelAxisPos(getattr(self,'tickAxisMode','axis'))
g = self._drawTicks(self.tickUp,self.tickDown)
self._drawSubTicks(getattr(self,'subTickHi',0),getattr(self,'subTickLo',0),g)
return g
finally:
self._y = yold
def _labelAxisPos(self,mode=None):
axis = self.joinAxis
if axis:
mode = mode or self.labelAxisMode
if mode == 'low':
return axis._y
elif mode == 'high':
return axis._y + axis._length
return self._y
class _YTicks(_XTicks):
def _labelAxisPos(self,mode=None):
axis = self.joinAxis
if axis:
mode = mode or self.labelAxisMode
if mode == 'low':
return axis._x
elif mode == 'high':
return axis._x + axis._length
return self._x
def makeTicks(self):
xold=self._x
try:
self._x = self._labelAxisPos(getattr(self,'tickAxisMode','axis'))
g = self._drawTicks(self.tickRight,self.tickLeft)
self._drawSubTicks(getattr(self,'subTickHi',0),getattr(self,'subTickLo',0),g)
return g
finally:
self._x = xold
class XCategoryAxis(_XTicks,CategoryAxis):
"X/category axis"
_attrMap = AttrMap(BASE=CategoryAxis,
tickUp = AttrMapValue(isNumber,
desc='Tick length up the axis.'),
tickDown = AttrMapValue(isNumber,
desc='Tick length down the axis.'),
joinAxisMode = AttrMapValue(OneOf('bottom', 'top', 'value', 'points', None),
desc="Mode used for connecting axis ('bottom', 'top', 'value', 'points', None)."),
)
_dataIndex = 0
def __init__(self):
CategoryAxis.__init__(self)
self.labels.boxAnchor = 'n' #north - top edge
self.labels.dy = -5
# ultra-simple tick marks for now go between categories
# and have same line style as axis - need more
self.tickUp = 0 # how far into chart does tick go?
self.tickDown = 5 # how far below axis does tick go?
def demo(self):
self.setPosition(30, 70, 140)
self.configure([(10,20,30,40,50)])
self.categoryNames = ['One','Two','Three','Four','Five']
# all labels top-centre aligned apart from the last
self.labels.boxAnchor = 'n'
self.labels[4].boxAnchor = 'e'
self.labels[4].angle = 90
d = Drawing(200, 100)
d.add(self)
return d
def joinToAxis(self, yAxis, mode='bottom', pos=None):
"Join with y-axis using some mode."
_assertYAxis(yAxis)
if mode == 'bottom':
self._y = yAxis._y
elif mode == 'top':
self._y = yAxis._y + yAxis._length
elif mode == 'value':
self._y = yAxis.scale(pos)
elif mode == 'points':
self._y = pos
def _joinToAxis(self):
ja = self.joinAxis
if ja:
jam = self.joinAxisMode
if jam in ('bottom', 'top'):
self.joinToAxis(ja, mode=jam)
elif jam in ('value', 'points'):
self.joinToAxis(ja, mode=jam, pos=self.joinAxisPos)
def loScale(self, idx):
"""returns the x position in drawing units"""
return self._x + self.loPad + self._scale(idx)*self._barWidth
def makeAxis(self):
g = Group()
self._joinToAxis()
if not self.visibleAxis: return g
axis = Line(self._x-self.loLLen, self._y, self._x + self._length+self.hiLLen, self._y)
axis.strokeColor = self.strokeColor
axis.strokeWidth = self.strokeWidth
axis.strokeDashArray = self.strokeDashArray
g.add(axis)
return g
def makeTickLabels(self):
g = Group()
if not self.visibleLabels: return g
categoryNames = self.categoryNames
if categoryNames is not None:
catCount = self._catCount
n = len(categoryNames)
reverseDirection = self.reverseDirection
barWidth = self._barWidth
_y = self._labelAxisPos()
_x = self._x
pmv = self._pmv if self.labelAxisMode=='axispmv' else None
for i in xrange(catCount):
if reverseDirection: ic = catCount-i-1
else: ic = i
if ic>=n: continue
label=i-catCount
if label in self.labels:
label = self.labels[label]
else:
label = self.labels[i]
if pmv:
_dy = label.dy
v = label._pmv = pmv[ic]
if v<0: _dy *= -2
else:
_dy = 0
lpf = label.labelPosFrac
x = _x + (i+lpf) * barWidth
label.setOrigin(x,_y+_dy)
label.setText(categoryNames[ic] or '')
g.add(label)
return g
class YCategoryAxis(_YTicks,CategoryAxis):
"Y/category axis"
_attrMap = AttrMap(BASE=CategoryAxis,
tickLeft = AttrMapValue(isNumber,
desc='Tick length left of the axis.'),
tickRight = AttrMapValue(isNumber,
desc='Tick length right of the axis.'),
joinAxisMode = AttrMapValue(OneOf(('left', 'right', 'value', 'points', None)),
desc="Mode used for connecting axis ('left', 'right', 'value', 'points', None)."),
)
_dataIndex = 1
def __init__(self):
CategoryAxis.__init__(self)
self.labels.boxAnchor = 'e' #east - right edge
self.labels.dx = -5
# ultra-simple tick marks for now go between categories
# and have same line style as axis - need more
self.tickLeft = 5 # how far left of axis does tick go?
self.tickRight = 0 # how far right of axis does tick go?
def demo(self):
self.setPosition(50, 10, 80)
self.configure([(10,20,30)])
self.categoryNames = ['One','Two','Three']
# all labels top-centre aligned apart from the last
self.labels.boxAnchor = 'e'
self.labels[2].boxAnchor = 's'
self.labels[2].angle = 90
d = Drawing(200, 100)
d.add(self)
return d
def joinToAxis(self, xAxis, mode='left', pos=None):
"Join with x-axis using some mode."
_assertXAxis(xAxis)
if mode == 'left':
self._x = xAxis._x * 1.0
elif mode == 'right':
self._x = (xAxis._x + xAxis._length) * 1.0
elif mode == 'value':
self._x = xAxis.scale(pos) * 1.0
elif mode == 'points':
self._x = pos * 1.0
def _joinToAxis(self):
ja = self.joinAxis
if ja:
jam = self.joinAxisMode
if jam in ('left', 'right'):
self.joinToAxis(ja, mode=jam)
elif jam in ('value', 'points'):
self.joinToAxis(ja, mode=jam, pos=self.joinAxisPos)
def loScale(self, idx):
"Returns the y position in drawing units"
return self._y + self._scale(idx)*self._barWidth
def makeAxis(self):
g = Group()
self._joinToAxis()
if not self.visibleAxis: return g
axis = Line(self._x, self._y-self.loLLen, self._x, self._y + self._length+self.hiLLen)
axis.strokeColor = self.strokeColor
axis.strokeWidth = self.strokeWidth
axis.strokeDashArray = self.strokeDashArray
g.add(axis)
return g
def makeTickLabels(self):
g = Group()
if not self.visibleLabels: return g
categoryNames = self.categoryNames
if categoryNames is not None:
catCount = self._catCount
n = len(categoryNames)
reverseDirection = self.reverseDirection
barWidth = self._barWidth
labels = self.labels
_x = self._labelAxisPos()
_y = self._y
pmv = self._pmv if self.labelAxisMode=='axispmv' else None
for i in xrange(catCount):
if reverseDirection: ic = catCount-i-1
else: ic = i
if ic>=n: continue
label=i-catCount
if label in self.labels:
label = self.labels[label]
else:
label = self.labels[i]
lpf = label.labelPosFrac
y = _y + (i+lpf) * barWidth
if pmv:
_dx = label.dx
v = label._pmv = pmv[ic]
if v<0: _dx *= -2
else:
_dx = 0
label.setOrigin(_x+_dx, y)
label.setText(categoryNames[ic] or '')
g.add(label)
return g
class TickLabeller:
'''Abstract base class which may be used to indicate a change
in the call signature for callable label formats
'''
def __call__(self,axis,value):
return 'Abstract class instance called'
#this matches the old python str behaviour
_defaultLabelFormatter = lambda x: '%.12g' % x
# Value axes.
class ValueAxis(_AxisG):
"Abstract value axis, unusable in itself."
_attrMap = AttrMap(
forceZero = AttrMapValue(EitherOr((isBoolean,OneOf('near'))), desc='Ensure zero in range if true.'),
visible = AttrMapValue(isBoolean, desc='Display entire object, if true.'),
visibleAxis = AttrMapValue(isBoolean, desc='Display axis line, if true.'),
visibleLabels = AttrMapValue(isBoolean, desc='Display axis labels, if true.'),
visibleTicks = AttrMapValue(isBoolean, desc='Display axis ticks, if true.'),
visibleGrid = AttrMapValue(isBoolean, desc='Display axis grid, if true.'),
strokeWidth = AttrMapValue(isNumber, desc='Width of axis line and ticks.'),
strokeColor = AttrMapValue(isColorOrNone, desc='Color of axis line and ticks.'),
strokeDashArray = AttrMapValue(isListOfNumbersOrNone, desc='Dash array used for axis line.'),
strokeLineCap = AttrMapValue(OneOf(0,1,2),desc="Line cap 0=butt, 1=round & 2=square"),
strokeLineJoin = AttrMapValue(OneOf(0,1,2),desc="Line join 0=miter, 1=round & 2=bevel"),
strokeMiterLimit = AttrMapValue(isNumber,desc="miter limit control miter line joins"),
gridStrokeWidth = AttrMapValue(isNumber, desc='Width of grid lines.'),
gridStrokeColor = AttrMapValue(isColorOrNone, desc='Color of grid lines.'),
gridStrokeDashArray = AttrMapValue(isListOfNumbersOrNone, desc='Dash array used for grid lines.'),
gridStrokeLineCap = AttrMapValue(OneOf(0,1,2),desc="Grid Line cap 0=butt, 1=round & 2=square"),
gridStrokeLineJoin = AttrMapValue(OneOf(0,1,2),desc="Grid Line join 0=miter, 1=round & 2=bevel"),
gridStrokeMiterLimit = AttrMapValue(isNumber,desc="Grid miter limit control miter line joins"),
gridStart = AttrMapValue(isNumberOrNone, desc='Start of grid lines wrt axis origin'),
gridEnd = AttrMapValue(isNumberOrNone, desc='End of grid lines wrt axis origin'),
drawGridLast = AttrMapValue(isBoolean, desc='if true draw gridlines after everything else.'),
minimumTickSpacing = AttrMapValue(isNumber, desc='Minimum value for distance between ticks.'),
maximumTicks = AttrMapValue(isNumber, desc='Maximum number of ticks.'),
labels = AttrMapValue(None, desc='Handle of the axis labels.'),
labelAxisMode = AttrMapValue(OneOf('high','low','axis'), desc="Like joinAxisMode, but for the axis labels"),
labelTextFormat = AttrMapValue(None, desc='Formatting string or function used for axis labels.'),
labelTextPostFormat = AttrMapValue(None, desc='Extra Formatting string.'),
labelTextScale = AttrMapValue(isNumberOrNone, desc='Scaling for label tick values.'),
valueMin = AttrMapValue(isNumberOrNone, desc='Minimum value on axis.'),
valueMax = AttrMapValue(isNumberOrNone, desc='Maximum value on axis.'),
valueStep = AttrMapValue(isNumberOrNone, desc='Step size used between ticks.'),
valueSteps = AttrMapValue(isListOfNumbersOrNone, desc='List of step sizes used between ticks.'),
avoidBoundFrac = AttrMapValue(EitherOr((isNumberOrNone,SequenceOf(isNumber,emptyOK=0,lo=2,hi=2))), desc='Fraction of interval to allow above and below.'),
avoidBoundSpace = AttrMapValue(EitherOr((isNumberOrNone,SequenceOf(isNumber,emptyOK=0,lo=2,hi=2))), desc='Space to allow above and below.'),
abf_ignore_zero = AttrMapValue(EitherOr((NoneOr(isBoolean),SequenceOf(isBoolean,emptyOK=0,lo=2,hi=2))), desc='Set to True to make the avoidBoundFrac calculations treat zero as non-special'),
rangeRound=AttrMapValue(OneOf('none','both','ceiling','floor'),'How to round the axis limits'),
zrangePref = AttrMapValue(isNumberOrNone, desc='Zero range axis limit preference.'),
style = AttrMapValue(OneOf('normal','stacked','parallel_3d'),"How values are plotted!"),
skipEndL = AttrMapValue(OneOf('none','start','end','both'), desc='Skip high/low tick labels'),
origShiftIPC = AttrMapValue(isNumberOrNone, desc='Lowest label shift interval ratio.'),
origShiftMin = AttrMapValue(isNumberOrNone, desc='Minimum amount to shift.'),
origShiftSpecialValue = AttrMapValue(isNumberOrNone, desc='special value for shift'),
tickAxisMode = AttrMapValue(OneOf('high','low','axis'), desc="Like joinAxisMode, but for the ticks"),
reverseDirection = AttrMapValue(isBoolean, desc='If true reverse category direction.'),
annotations = AttrMapValue(None,desc='list of annotations'),
loLLen = AttrMapValue(isNumber, desc='extra line length before start of the axis'),
hiLLen = AttrMapValue(isNumber, desc='extra line length after end of the axis'),
subTickNum = AttrMapValue(isNumber, desc='Number of axis sub ticks, if >0'),
subTickLo = AttrMapValue(isNumber, desc='sub tick down or left'),
subTickHi = AttrMapValue(isNumber, desc='sub tick up or right'),
visibleSubTicks = AttrMapValue(isBoolean, desc='Display axis sub ticks, if true.'),
visibleSubGrid = AttrMapValue(isBoolean, desc='Display axis sub grid, if true.'),
subGridStrokeWidth = AttrMapValue(isNumber, desc='Width of grid lines.'),
subGridStrokeColor = AttrMapValue(isColorOrNone, desc='Color of grid lines.'),
subGridStrokeDashArray = AttrMapValue(isListOfNumbersOrNone, desc='Dash array used for grid lines.'),
subGridStrokeLineCap = AttrMapValue(OneOf(0,1,2),desc="Grid Line cap 0=butt, 1=round & 2=square"),
subGridStrokeLineJoin = AttrMapValue(OneOf(0,1,2),desc="Grid Line join 0=miter, 1=round & 2=bevel"),
subGridStrokeMiterLimit = AttrMapValue(isNumber,desc="Grid miter limit control miter line joins"),
subGridStart = AttrMapValue(isNumberOrNone, desc='Start of grid lines wrt axis origin'),
subGridEnd = AttrMapValue(isNumberOrNone, desc='End of grid lines wrt axis origin'),
tickStrokeWidth = AttrMapValue(isNumber, desc='Width of ticks if specified.'),
subTickStrokeWidth = AttrMapValue(isNumber, desc='Width of sub ticks if specified.'),
subTickStrokeColor = AttrMapValue(isColorOrNone, desc='Color of sub ticks if specified.'),
tickStrokeColor = AttrMapValue(isColorOrNone, desc='Color of ticks if specified.'),
keepTickLabelsInside = AttrMapValue(isBoolean, desc='Ensure tick labels do not project beyond bounds of axis if true'),
skipGrid = AttrMapValue(OneOf('none','top','both','bottom'),"grid lines to skip top bottom both none"),
requiredRange = AttrMapValue(isNumberOrNone, desc='Minimum required value range.'),
innerTickDraw = AttrMapValue(isNoneOrCallable, desc="Callable to replace _drawInnerTicks"),
)
def __init__(self,**kw):
assert self.__class__.__name__!='ValueAxis', 'Abstract Class ValueAxis Instantiated'
self._setKeywords(**kw)
self._setKeywords(
_configured = 0,
# private properties set by methods. The initial values
# here are to make demos easy; they would always be
# overridden in real life.
_x = 50,
_y = 50,
_length = 100,
# public properties
visible = 1,
visibleAxis = 1,
visibleLabels = 1,
visibleTicks = 1,
visibleGrid = 0,
forceZero = 0,
strokeWidth = 1,
strokeColor = STATE_DEFAULTS['strokeColor'],
strokeDashArray = STATE_DEFAULTS['strokeDashArray'],
strokeLineJoin = STATE_DEFAULTS['strokeLineJoin'],
strokeLineCap = STATE_DEFAULTS['strokeLineCap'],
strokeMiterLimit = STATE_DEFAULTS['strokeMiterLimit'],
gridStrokeWidth = 0.25,
gridStrokeColor = STATE_DEFAULTS['strokeColor'],
gridStrokeDashArray = STATE_DEFAULTS['strokeDashArray'],
gridStrokeLineJoin = STATE_DEFAULTS['strokeLineJoin'],
gridStrokeLineCap = STATE_DEFAULTS['strokeLineCap'],
gridStrokeMiterLimit = STATE_DEFAULTS['strokeMiterLimit'],
gridStart = None,
gridEnd = None,
drawGridLast = False,
visibleSubGrid = 0,
visibleSubTicks = 0,
subTickNum = 0,
subTickLo = 0,
subTickHi = 0,
subGridStrokeLineJoin = STATE_DEFAULTS['strokeLineJoin'],
subGridStrokeLineCap = STATE_DEFAULTS['strokeLineCap'],
subGridStrokeMiterLimit = STATE_DEFAULTS['strokeMiterLimit'],
subGridStrokeWidth = 0.25,
subGridStrokeColor = STATE_DEFAULTS['strokeColor'],
subGridStrokeDashArray = STATE_DEFAULTS['strokeDashArray'],
subGridStart = None,
subGridEnd = None,
labels = TypedPropertyCollection(Label),
keepTickLabelsInside = 0,
# how close can the ticks be?
minimumTickSpacing = 10,
maximumTicks = 7,
# a format string like '%0.2f'
# or a function which takes the value as an argument and returns a string
_labelTextFormat = None,
labelAxisMode = 'axis',
labelTextFormat = None,
labelTextPostFormat = None,
labelTextScale = None,
# if set to None, these will be worked out for you.
# if you override any or all of them, your values
# will be used.
valueMin = None,
valueMax = None,
valueStep = None,
avoidBoundFrac = None,
avoidBoundSpace = None,
abf_ignore_zero = False,
rangeRound = 'none',
zrangePref = 0,
style = 'normal',
skipEndL='none',
origShiftIPC = None,
origShiftMin = None,
origShiftSpecialValue = None,
tickAxisMode = 'axis',
reverseDirection=0,
loLLen=0,
hiLLen=0,
requiredRange=0,
)
self.labels.angle = 0
def setPosition(self, x, y, length):
# ensure floating point
self._x = float(x)
self._y = float(y)
self._length = float(length)
def configure(self, dataSeries):
"""Let the axis configure its scale and range based on the data.
Called after setPosition. Let it look at a list of lists of
numbers determine the tick mark intervals. If valueMin,
valueMax and valueStep are configured then it
will use them; if any of them are set to None it
will look at the data and make some sensible decision.
You may override this to build custom axes with
irregular intervals. It creates an internal
variable self._values, which is a list of numbers
to use in plotting.
"""
self._setRange(dataSeries)
self._configure_end()
def _configure_end(self):
self._calcTickmarkPositions()
self._calcScaleFactor()
self._configured = 1
def _getValueStepAndTicks(self, valueMin, valueMax,cache={}):
try:
K = (valueMin,valueMax)
r = cache[K]
except:
self._valueMin = valueMin
self._valueMax = valueMax
valueStep,T = self._calcStepAndTickPositions()
r = cache[K] = valueStep, T, valueStep*1e-8
return r
def _preRangeAdjust(self,valueMin,valueMax):
rr = self.requiredRange
if rr>0:
r = valueMax - valueMin
if r<rr:
m = 0.5*(valueMax+valueMin)
rr *= 0.5
y1 = min(m-rr,valueMin)
y2 = max(m+rr,valueMax)
if valueMin>=100 and y1<100:
y2 = y2 + 100 - y1
y1 = 100
elif valueMin>=0 and y1<0:
y2 = y2 - y1
y1 = 0
valueMin = self._cValueMin = y1
valueMax = self._cValueMax = y2
return valueMin,valueMax
def _setRange(self, dataSeries):
"""Set minimum and maximum axis values.
The dataSeries argument is assumed to be a list of data
vectors. Each vector is itself a list or tuple of numbers.
Returns a min, max tuple.
"""
oMin = valueMin = self.valueMin
oMax = valueMax = self.valueMax
if valueMin is None: valueMin = self._cValueMin = _findMin(dataSeries,self._dataIndex,0)
if valueMax is None: valueMax = self._cValueMax = _findMax(dataSeries,self._dataIndex,0)
if valueMin == valueMax:
if valueMax==0:
if oMin is None and oMax is None:
zrp = getattr(self,'zrangePref',0)
if zrp>0:
valueMax = zrp
valueMin = 0
elif zrp<0:
valueMax = 0
valueMin = zrp
else:
valueMax = 0.01
valueMin = -0.01
elif self.valueMin is None:
valueMin = -0.01
else:
valueMax = 0.01
else:
if valueMax>0:
valueMax = 1.2*valueMax
valueMin = 0.0
else:
valueMax = 0.0
valueMin = 1.2*valueMin
if getattr(self,'_bubblePlot',None):
bubbleMax = float(_findMax(dataSeries,2,0))
frac=.25
bubbleV=frac*(valueMax-valueMin)
self._bubbleV = bubbleV
self._bubbleMax = bubbleMax
self._bubbleRadius = frac*self._length
def special(T,x,func,bubbleV=bubbleV,bubbleMax=bubbleMax):
try:
v = T[2]
except IndexError:
v = bubbleMAx*0.1
bubbleV *= (v/bubbleMax)**0.5
return func(T[x]+bubbleV,T[x]-bubbleV)
if oMin is None: valueMin = self._cValueMin = _findMin(dataSeries,self._dataIndex,0,special=special)
if oMax is None: valueMax = self._cValueMax = _findMax(dataSeries,self._dataIndex,0,special=special)
valueMin, valueMax = self._preRangeAdjust(valueMin,valueMax)
rangeRound = self.rangeRound
cMin = valueMin
cMax = valueMax
forceZero = self.forceZero
if forceZero:
if forceZero=='near':
forceZero = min(abs(valueMin),abs(valueMax)) <= 5*(valueMax-valueMin)
if forceZero:
if valueMax<0: valueMax=0
elif valueMin>0: valueMin = 0
abf = self.avoidBoundFrac
do_rr = not getattr(self,'valueSteps',None)
do_abf = abf and do_rr
if not isSeq(abf):
abf = abf, abf
abfiz = getattr(self,'abf_ignore_zero', False)
if not isSeq(abfiz):
abfiz = abfiz, abfiz
do_rr = rangeRound != 'none' and do_rr
if do_rr:
rrn = rangeRound in ['both','floor']
rrx = rangeRound in ['both','ceiling']
else:
rrn = rrx = 0
abS = self.avoidBoundSpace
do_abs = abS
if do_abs:
if not isSeq(abS):
abS = abS, abS
aL = float(self._length)
go = do_rr or do_abf or do_abs
cache = {}
iter = 0
while go and iter<=10:
iter += 1
go = 0
if do_abf or do_abs:
valueStep, T, fuzz = self._getValueStepAndTicks(valueMin, valueMax, cache)
if do_abf:
i0 = valueStep*abf[0]
i1 = valueStep*abf[1]
else:
i0 = i1 = 0
if do_abs:
sf = (valueMax-valueMin)/aL
i0 = max(i0,abS[0]*sf)
i1 = max(i1,abS[1]*sf)
if rrn: v = T[0]
else: v = valueMin
u = cMin-i0
if (abfiz[0] or abs(v)>fuzz) and v>=u+fuzz:
valueMin = u
go = 1
if rrx: v = T[-1]
else: v = valueMax
u = cMax+i1
if (abfiz[1] or abs(v)>fuzz) and v<=u-fuzz:
valueMax = u
go = 1
if do_rr:
valueStep, T, fuzz = self._getValueStepAndTicks(valueMin, valueMax, cache)
if rrn:
if valueMin<T[0]-fuzz:
valueMin = T[0]-valueStep
go = 1
else:
go = valueMin>=T[0]+fuzz
valueMin = T[0]
if rrx:
if valueMax>T[-1]+fuzz:
valueMax = T[-1]+valueStep
go = 1
else:
go = valueMax<=T[-1]-fuzz
valueMax = T[-1]
if iter and not go:
self._computedValueStep = valueStep
else:
self._computedValueStep = None
self._valueMin = valueMin
self._valueMax = valueMax
origShiftIPC = self.origShiftIPC
origShiftMin = self.origShiftMin
if origShiftMin is not None or origShiftIPC is not None:
origShiftSpecialValue = self.origShiftSpecialValue
self._calcValueStep()
valueMax, valueMin = self._valueMax, self._valueMin
if origShiftSpecialValue is None or abs(origShiftSpecialValue-valueMin)<1e-6:
if origShiftIPC:
m = origShiftIPC*self._valueStep
else:
m = 0
if origShiftMin:
m = max(m,(valueMax-valueMin)*origShiftMin/self._length)
self._valueMin -= m
self._rangeAdjust()
def _pseudo_configure(self):
self._valueMin = self.valueMin
self._valueMax = self.valueMax
if hasattr(self,'_subTickValues'): del self._subTickValues
self._configure_end()
def _rangeAdjust(self):
"""Override this if you want to alter the calculated range.
E.g. if want a minumamum range of 30% or don't want 100%
as the first point.
"""
pass
def _adjustAxisTicks(self):
'''Override if you want to put slack at the ends of the axis
eg if you don't want the last tick to be at the bottom etc
'''
pass
def _calcScaleFactor(self):
"""Calculate the axis' scale factor.
This should be called only *after* the axis' range is set.
Returns a number.
"""
self._scaleFactor = self._length / float(self._valueMax - self._valueMin)
return self._scaleFactor
def _calcStepAndTickPositions(self):
valueStep = getattr(self,'_computedValueStep',None)
if valueStep:
del self._computedValueStep
self._valueStep = valueStep
else:
self._calcValueStep()
valueStep = self._valueStep
valueMin = self._valueMin
valueMax = self._valueMax
fuzz = 1e-8*valueStep
rangeRound = self.rangeRound
i0 = int(float(valueMin)/valueStep)
v = i0*valueStep
if rangeRound in ('both','floor'):
if v>valueMin+fuzz: i0 -= 1
elif v<valueMin-fuzz: i0 += 1
i1 = int(float(valueMax)/valueStep)
v = i1*valueStep
if rangeRound in ('both','ceiling'):
if v<valueMax-fuzz: i1 += 1
elif v>valueMax+fuzz: i1 -= 1
return valueStep,[i*valueStep for i in xrange(i0,i1+1)]
def _calcTickPositions(self):
return self._calcStepAndTickPositions()[1]
def _calcSubTicks(self):
if not hasattr(self,'_tickValues'):
self._pseudo_configure()
otv = self._tickValues
if not hasattr(self,'_subTickValues'):
acn = self.__class__.__name__
if acn[:11]=='NormalDateX':
iFuzz = 0
dCnv = int
else:
iFuzz = 1e-8
dCnv = lambda x:x
OTV = [tv for tv in otv if getattr(tv,'_doSubTicks',1)]
T = [].append
nst = int(self.subTickNum)
i = len(OTV)
if i<2:
self._subTickValues = []
else:
if i==2:
dst = OTV[1]-OTV[0]
elif i==3:
dst = max(OTV[1]-OTV[0],OTV[2]-OTV[1])
else:
i >>= 1
dst = OTV[i+1] - OTV[i]
fuzz = dst*iFuzz
vn = self._valueMin+fuzz
vx = self._valueMax-fuzz
if OTV[0]>vn: OTV.insert(0,OTV[0]-dst)
if OTV[-1]<vx: OTV.append(OTV[-1]+dst)
dst /= float(nst+1)
for i,x in enumerate(OTV[:-1]):
for j in xrange(nst):
t = x+dCnv((j+1)*dst)
if t<=vn or t>=vx: continue
T(t)
self._subTickValues = T.__self__
self._tickValues = self._subTickValues
return otv
def _calcTickmarkPositions(self):
"""Calculate a list of tick positions on the axis. Returns a list of numbers."""
self._tickValues = getattr(self,'valueSteps',None)
if self._tickValues: return self._tickValues
self._tickValues = self._calcTickPositions()
self._adjustAxisTicks()
return self._tickValues
def _calcValueStep(self):
'''Calculate _valueStep for the axis or get from valueStep.'''
if self.valueStep is None:
rawRange = self._valueMax - self._valueMin
rawInterval = rawRange / min(float(self.maximumTicks-1),(float(self._length)/self.minimumTickSpacing))
self._valueStep = nextRoundNumber(rawInterval)
else:
self._valueStep = self.valueStep
def _allIntTicks(self):
return _allInt(self._tickValues)
def makeTickLabels(self):
g = Group()
if not self.visibleLabels: return g
f = self._labelTextFormat # perhaps someone already set it
if f is None:
f = self.labelTextFormat or (self._allIntTicks() and '%.0f' or _defaultLabelFormatter)
elif f is str and self._allIntTicks(): f = '%.0f'
elif hasattr(f,'calcPlaces'):
f.calcPlaces(self._tickValues)
post = self.labelTextPostFormat
scl = self.labelTextScale
pos = [self._x, self._y]
d = self._dataIndex
pos[1-d] = self._labelAxisPos()
labels = self.labels
if self.skipEndL!='none':
if self.isXAxis:
sk = self._x
else:
sk = self._y
if self.skipEndL=='start':
sk = [sk]
else:
sk = [sk,sk+self._length]
if self.skipEndL=='end':
del sk[0]
else:
sk = []
nticks = len(self._tickValues)
nticks1 = nticks - 1
for i,tick in enumerate(self._tickValues):
label = i-nticks
if label in labels:
label = labels[label]
else:
label = labels[i]
if f and label.visible:
v = self.scale(tick)
if sk:
for skv in sk:
if abs(skv-v)<1e-6:
v = None
break
if v is not None:
if scl is not None:
t = tick*scl
else:
t = tick
if isinstance(f, str): txt = f % t
elif isSeq(f):
#it's a list, use as many items as we get
if i < len(f):
txt = f[i]
else:
txt = ''
elif hasattr(f,'__call__'):
if isinstance(f,TickLabeller):
txt = f(self,t)
else:
txt = f(t)
else:
raise ValueError('Invalid labelTextFormat %s' % f)
if post: txt = post % txt
pos[d] = v
label.setOrigin(*pos)
label.setText(txt)
#special property to ensure a label doesn't project beyond the bounds of an x-axis
if self.keepTickLabelsInside:
if isinstance(self, XValueAxis): #not done yet for y axes
a_x = self._x
if not i: #first one
x0, y0, x1, y1 = label.getBounds()
if x0 < a_x:
label = label.clone(dx=label.dx + a_x - x0)
if i==nticks1: #final one
a_x1 = a_x +self._length
x0, y0, x1, y1 = label.getBounds()
if x1 > a_x1:
label=label.clone(dx=label.dx-x1+a_x1)
g.add(label)
return g
def scale(self, value):
"""Converts a numeric value to a plotarea position.
The chart first configures the axis, then asks it to
"""
assert self._configured, "Axis cannot scale numbers before it is configured"
if value is None: value = 0
#this could be made more efficient by moving the definition of org and sf into the configuration
org = (self._x, self._y)[self._dataIndex]
sf = self._scaleFactor
if self.reverseDirection:
sf = -sf
org += self._length
return org + sf*(value - self._valueMin)
class XValueAxis(_XTicks,ValueAxis):
"X/value axis"
_attrMap = AttrMap(BASE=ValueAxis,
tickUp = AttrMapValue(isNumber,
desc='Tick length up the axis.'),
tickDown = AttrMapValue(isNumber,
desc='Tick length down the axis.'),
joinAxis = AttrMapValue(None,
desc='Join both axes if true.'),
joinAxisMode = AttrMapValue(OneOf('bottom', 'top', 'value', 'points', None),
desc="Mode used for connecting axis ('bottom', 'top', 'value', 'points', None)."),
joinAxisPos = AttrMapValue(isNumberOrNone,
desc='Position at which to join with other axis.'),
)
# Indicate the dimension of the data we're interested in.
_dataIndex = 0
def __init__(self,**kw):
ValueAxis.__init__(self,**kw)
self.labels.boxAnchor = 'n'
self.labels.dx = 0
self.labels.dy = -5
self.tickUp = 0
self.tickDown = 5
self.joinAxis = None
self.joinAxisMode = None
self.joinAxisPos = None
def demo(self):
self.setPosition(20, 50, 150)
self.configure([(10,20,30,40,50)])
d = Drawing(200, 100)
d.add(self)
return d
def joinToAxis(self, yAxis, mode='bottom', pos=None):
"Join with y-axis using some mode."
_assertYAxis(yAxis)
if mode == 'bottom':
self._y = yAxis._y * 1.0
elif mode == 'top':
self._y = (yAxis._y + yAxis._length) * 1.0
elif mode == 'value':
self._y = yAxis.scale(pos) * 1.0
elif mode == 'points':
self._y = pos * 1.0
def _joinToAxis(self):
ja = self.joinAxis
if ja:
jam = self.joinAxisMode or 'bottom'
if jam in ('bottom', 'top'):
self.joinToAxis(ja, mode=jam)
elif jam in ('value', 'points'):
self.joinToAxis(ja, mode=jam, pos=self.joinAxisPos)
def makeAxis(self):
g = Group()
self._joinToAxis()
if not self.visibleAxis: return g
axis = Line(self._x-self.loLLen, self._y, self._x + self._length+self.hiLLen, self._y)
axis.strokeColor = self.strokeColor
axis.strokeWidth = self.strokeWidth
axis.strokeDashArray = self.strokeDashArray
g.add(axis)
return g
#additional utilities to help specify calendar dates on which tick marks
#are to be plotted. After some thought, when the magic algorithm fails,
#we can let them specify a number of days-of-the-year to tick in any given
#year.
#################################################################################
#
# Preliminary support objects/functions for the axis used in time series charts
#
#################################################################################
_months = ['jan','feb','mar','apr','may','jun','jul','aug','sep','oct','nov','dec']
_maxDays = [31, 29, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31]
def parseDayAndMonth(dmstr):
"""This accepts and validates strings like "31-Dec" i.e. dates
of no particular year. 29 Feb is allowed. These can be used
for recurring dates. It returns a (dd, mm) pair where mm is the
month integer. If the text is not valid it raises an error.
"""
dstr, mstr = dmstr.split('-')
dd = int(dstr)
mstr = mstr.lower()
mm = _months.index(mstr) + 1
assert dd <= _maxDays[mm-1]
return (dd, mm)
class _isListOfDaysAndMonths(Validator):
"""This accepts and validates lists of strings like "31-Dec" i.e. dates
of no particular year. 29 Feb is allowed. These can be used
for recurring dates.
"""
def test(self,x):
if isSeq(x):
answer = True
for element in x:
try:
dd, mm = parseDayAndMonth(element)
except:
answer = False
return answer
else:
return False
def normalize(self,x):
#we store them as presented, it's the most presentable way
return x
isListOfDaysAndMonths = _isListOfDaysAndMonths()
_NDINTM = 1,2,3,6,12,24,60,120,180,240,300,360,420,480,540,600,720,840,960,1080,1200,2400
class NormalDateXValueAxis(XValueAxis):
"""An X axis applying additional rules.
Depending on the data and some built-in rules, the axis
displays normalDate values as nicely formatted dates.
The client chart should have NormalDate X values.
"""
_attrMap = AttrMap(BASE = XValueAxis,
bottomAxisLabelSlack = AttrMapValue(isNumber, desc="Fractional amount used to adjust label spacing"),
niceMonth = AttrMapValue(isBoolean, desc="Flag for displaying months 'nicely'."),
forceEndDate = AttrMapValue(isBoolean, desc='Flag for enforced displaying of last date value.'),
forceFirstDate = AttrMapValue(isBoolean, desc='Flag for enforced displaying of first date value.'),
forceDatesEachYear = AttrMapValue(isListOfDaysAndMonths, desc='List of dates in format "31-Dec",' +
'"1-Jan". If present they will always be used for tick marks in the current year, rather ' +
'than the dates chosen by the automatic algorithm. Hyphen compulsory, case of month optional.'),
xLabelFormat = AttrMapValue(None, desc="Label format string (e.g. '{mm}/{yy}') or function."),
dayOfWeekName = AttrMapValue(SequenceOf(isString,emptyOK=0,lo=7,hi=7), desc='Weekday names.'),
monthName = AttrMapValue(SequenceOf(isString,emptyOK=0,lo=12,hi=12), desc='Month names.'),
dailyFreq = AttrMapValue(isBoolean, desc='True if we are to assume daily data to be ticked at end of month.'),
specifiedTickDates = AttrMapValue(NoneOr(SequenceOf(isNormalDate)), desc='Actual tick values to use; no calculations done'),
specialTickClear = AttrMapValue(isBoolean, desc='clear rather than delete close ticks when forced first/end dates'),
skipGrid = AttrMapValue(OneOf('none','top','both','bottom'),"grid lines to skip top bottom both none"),
)
_valueClass = normalDate.ND
def __init__(self,**kw):
XValueAxis.__init__(self,**kw)
# some global variables still used...
self.bottomAxisLabelSlack = 0.1
self.niceMonth = 1
self.forceEndDate = 0
self.forceFirstDate = 0
self.forceDatesEachYear = []
self.dailyFreq = 0
self.xLabelFormat = "{mm}/{yy}"
self.dayOfWeekName = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday']
self.monthName = ['January', 'February', 'March', 'April', 'May', 'June', 'July',
'August', 'September', 'October', 'November', 'December']
self.specialTickClear = 0
self.valueSteps = self.specifiedTickDates = None
def _scalar2ND(self, x):
"Convert a scalar to a NormalDate value."
d = self._valueClass()
d.normalize(x)
return d
def _dateFormatter(self, v):
"Create a formatted label for some value."
if not isinstance(v,normalDate.NormalDate):
v = self._scalar2ND(v)
d, m = normalDate._dayOfWeekName, normalDate._monthName
try:
normalDate._dayOfWeekName, normalDate._monthName = self.dayOfWeekName, self.monthName
return v.formatMS(self.xLabelFormat)
finally:
normalDate._dayOfWeekName, normalDate._monthName = d, m
def _xAxisTicker(self, xVals):
"""Complex stuff...
Needs explanation...
Yes please says Andy :-(. Modified on 19 June 2006 to attempt to allow
a mode where one can specify recurring days and months.
"""
VC = self._valueClass
axisLength = self._length
formatter = self._dateFormatter
if isinstance(formatter,TickLabeller):
def formatter(tick):
return self._dateFormatter(self,tick)
firstDate = xVals[0] if not self.valueMin else VC(self.valueMin)
endDate = xVals[-1] if not self.valueMax else VC(self.valueMax)
labels = self.labels
fontName, fontSize, leading = labels.fontName, labels.fontSize, labels.leading
textAnchor, boxAnchor, angle = labels.textAnchor, labels.boxAnchor, labels.angle
RBL = _textBoxLimits(formatter(firstDate).split('\n'),fontName,
fontSize,leading or 1.2*fontSize,textAnchor,boxAnchor)
RBL = _rotatedBoxLimits(RBL[0],RBL[1],RBL[2],RBL[3], angle)
xLabelW = RBL[1]-RBL[0]
xLabelH = RBL[3]-RBL[2]
w = max(xLabelW,labels.width or 0,self.minimumTickSpacing)
W = w+w*self.bottomAxisLabelSlack
ticks = []
labels = []
maximumTicks = self.maximumTicks
if self.specifiedTickDates:
ticks = [VC(x) for x in self.specifiedTickDates]
labels = [formatter(d) for d in ticks]
if self.forceFirstDate and firstDate==ticks[0] and (axisLength/float(ticks[-1]-ticks[0]))*(ticks[1]-ticks[0])<=W:
if self.specialTickClear:
labels[1] = ''
else:
del ticks[1], labels[1]
if self.forceEndDate and endDate==ticks[-1] and (axisLength/float(ticks[-1]-ticks[0]))*(ticks[-1]-ticks[-2])<=W:
if self.specialTickClear:
labels[-2] = ''
else:
del ticks[-2], labels[-2]
return ticks, labels
#AR 20060619 - first we try the approach where the user has explicitly
#specified the days of year to be ticked. Other explicit routes may
#be added.
if self.forceDatesEachYear:
forcedPartialDates = list(map(parseDayAndMonth, self.forceDatesEachYear))
#generate the list of dates in the range.
#print 'dates range from %s to %s' % (firstDate, endDate)
firstYear = firstDate.year()
lastYear = endDate.year()
ticks = []
labels = []
yyyy = firstYear
#generate all forced dates between the year it starts and the year it
#ends, adding them if within range.
while yyyy <= lastYear:
for (dd, mm) in forcedPartialDates:
theDate = normalDate.ND((yyyy, mm, dd))
if theDate >= firstDate and theDate <= endDate:
ticks.append(theDate)
labels.append(formatter(theDate))
yyyy += 1
#first and last may still be forced in.
if self.forceFirstDate and firstDate!=ticks[0]:
ticks.insert(0, firstDate)
labels.insert(0,formatter(firstDate))
if (axisLength/float(ticks[-1]-ticks[0]))*(ticks[1]-ticks[0])<=W:
if self.specialTickClear:
labels[1] = ''
else:
del ticks[1], labels[1]
if self.forceEndDate and endDate!=ticks[-1]:
ticks.append(endDate)
labels.append(formatter(endDate))
if (axisLength/float(ticks[-1]-ticks[0]))*(ticks[-1]-ticks[-2])<=W:
if self.specialTickClear:
labels[-2] = ''
else:
del ticks[-2], labels[-2]
#print 'xVals found on forced dates =', ticks
return ticks, labels
def addTick(i, xVals=xVals, formatter=formatter, ticks=ticks, labels=labels):
ticks.insert(0,xVals[i])
labels.insert(0,formatter(xVals[i]))
n = len(xVals)
#otherwise, we apply the 'magic algorithm...' which looks for nice spacing
#based on the size and separation of the labels.
for d in _NDINTM:
k = n/d
if k<=maximumTicks and k*W <= axisLength:
i = n-1
if self.niceMonth:
j = endDate.month() % (d<=12 and d or 12)
if j:
if self.forceEndDate:
addTick(i)
ticks[0]._doSubTicks=0
i -= j
#weird first date ie not at end of month
try:
wfd = firstDate.month() == xVals[1].month()
except:
wfd = 0
while i>=wfd:
addTick(i)
i -= d
if self.forceFirstDate and ticks[0]!=firstDate:
addTick(0)
ticks[0]._doSubTicks=0
if (axisLength/float(ticks[-1]-ticks[0]))*(ticks[1]-ticks[0])<=W:
if self.specialTickClear:
labels[1] = ''
else:
del ticks[1], labels[1]
if self.forceEndDate and self.niceMonth and j:
if (axisLength/float(ticks[-1]-ticks[0]))*(ticks[-1]-ticks[-2])<=W:
if self.specialTickClear:
labels[-2] = ''
else:
del ticks[-2], labels[-2]
try:
if labels[0] and labels[0]==labels[1]:
del ticks[1], labels[1]
except IndexError:
pass
return ticks, labels
raise ValueError('Problem selecting NormalDate value axis tick positions')
def _convertXV(self,data):
'''Convert all XValues to a standard normalDate type'''
VC = self._valueClass
for D in data:
for i in xrange(len(D)):
x, y = D[i]
if not isinstance(x,VC):
D[i] = (VC(x),y)
def _getStepsAndLabels(self,xVals):
if self.dailyFreq:
xEOM = []
pm = 0
px = xVals[0]
for x in xVals:
m = x.month()
if pm!=m:
if pm: xEOM.append(px)
pm = m
px = x
px = xVals[-1]
if xEOM[-1]!=x: xEOM.append(px)
steps, labels = self._xAxisTicker(xEOM)
else:
steps, labels = self._xAxisTicker(xVals)
return steps, labels
def configure(self, data):
self._convertXV(data)
xVals = set()
for x in data:
for dv in x:
xVals.add(dv[0])
xVals = list(xVals)
xVals.sort()
VC = self._valueClass
steps,labels = self._getStepsAndLabels(xVals)
valueMin, valueMax = self.valueMin, self.valueMax
valueMin = xVals[0] if valueMin is None else VC(valueMin)
valueMax = xVals[-1] if valueMax is None else VC(valueMax)
self._valueMin, self._valueMax = valueMin, valueMax
self._tickValues = steps
self._labelTextFormat = labels
self._scaleFactor = self._length / float(valueMax - valueMin)
self._tickValues = steps
self._configured = 1
class YValueAxis(_YTicks,ValueAxis):
"Y/value axis"
_attrMap = AttrMap(BASE=ValueAxis,
tickLeft = AttrMapValue(isNumber,
desc='Tick length left of the axis.'),
tickRight = AttrMapValue(isNumber,
desc='Tick length right of the axis.'),
joinAxis = AttrMapValue(None,
desc='Join both axes if true.'),
joinAxisMode = AttrMapValue(OneOf(('left', 'right', 'value', 'points', None)),
desc="Mode used for connecting axis ('left', 'right', 'value', 'points', None)."),
joinAxisPos = AttrMapValue(isNumberOrNone,
desc='Position at which to join with other axis.'),
)
# Indicate the dimension of the data we're interested in.
_dataIndex = 1
def __init__(self):
ValueAxis.__init__(self)
self.labels.boxAnchor = 'e'
self.labels.dx = -5
self.labels.dy = 0
self.tickRight = 0
self.tickLeft = 5
self.joinAxis = None
self.joinAxisMode = None
self.joinAxisPos = None
def demo(self):
data = [(10, 20, 30, 42)]
self.setPosition(100, 10, 80)
self.configure(data)
drawing = Drawing(200, 100)
drawing.add(self)
return drawing
def joinToAxis(self, xAxis, mode='left', pos=None):
"Join with x-axis using some mode."
_assertXAxis(xAxis)
if mode == 'left':
self._x = xAxis._x * 1.0
elif mode == 'right':
self._x = (xAxis._x + xAxis._length) * 1.0
elif mode == 'value':
self._x = xAxis.scale(pos) * 1.0
elif mode == 'points':
self._x = pos * 1.0
def _joinToAxis(self):
ja = self.joinAxis
if ja:
jam = self.joinAxisMode
if jam in ('left', 'right'):
self.joinToAxis(ja, mode=jam)
elif jam in ('value', 'points'):
self.joinToAxis(ja, mode=jam, pos=self.joinAxisPos)
def makeAxis(self):
g = Group()
self._joinToAxis()
if not self.visibleAxis: return g
axis = Line(self._x, self._y-self.loLLen, self._x, self._y + self._length+self.hiLLen)
axis.strokeColor = self.strokeColor
axis.strokeWidth = self.strokeWidth
axis.strokeDashArray = self.strokeDashArray
g.add(axis)
return g
class TimeValueAxis:
_mc = 60
_hc = 60*_mc
_dc = 24*_hc
def __init__(self,*args,**kwds):
if not self.labelTextFormat:
self.labelTextFormat = self.timeLabelTextFormatter
self._saved_tickInfo = {}
def _calcValueStep(self):
'''Calculate _valueStep for the axis or get from valueStep.'''
if self.valueStep is None:
rawRange = self._valueMax - self._valueMin
rawInterval = rawRange / min(float(self.maximumTicks-1),(float(self._length)/self.minimumTickSpacing))
#here's where we try to choose the correct value for the unit
if rawInterval >= self._dc:
d = self._dc
self._unit = 'days'
elif rawInterval >= self._hc:
d = self._hc
self._unit = 'hours'
elif rawInterval >= self._mc:
d = self._mc
self._unit = 'minutes'
else:
d = 1
self._unit = 'seconds'
self._unitd = d
if d>1:
rawInterval = int(rawInterval/d)
self._valueStep = nextRoundNumber(rawInterval) * d
else:
self._valueStep = self.valueStep
def timeLabelTextFormatter(self,val):
u = self._unitd
k = (u,tuple(self._tickValues))
if k in self._saved_tickInfo:
fmt = self._saved_tickInfo[k]
else:
uf = float(u)
tv = [v/uf for v in self._tickValues]
s = self._unit[0]
if _allInt(tv):
fmt = lambda x, uf=uf, s=s: '%.0f%s' % (x/uf,s)
else:
stv = ['%.10f' % v for v in tv]
stvl = max((len(v.rstrip('0'))-v.index('.')-1) for v in stv)
if u==1:
fmt = lambda x,uf=uf,fmt='%%.%dfs' % stvl: fmt % (x/uf)
else:
#see if we can represent fractions
fm = 24 if u==self._dc else 60
fv = [(v - int(v))*fm for v in tv]
if _allInt(fv):
s1 = 'h' if u==self._dc else ('m' if u==self._mc else 's')
fmt = lambda x,uf=uf,fm=fm, fmt='%%d%s%%d%%s' % (s,s1): fmt % (int(x/uf),int((x/uf - int(x/uf))*fm))
else:
fmt = lambda x,uf=uf,fmt='%%.%df%s' % (stvl,s): fmt % (x/uf)
self._saved_tickInfo[k] = fmt
return fmt(val)
class XTimeValueAxis(TimeValueAxis,XValueAxis):
def __init__(self,*args,**kwds):
XValueAxis.__init__(self,*args,**kwds)
TimeValueAxis.__init__(self,*args,**kwds)
class AdjYValueAxis(YValueAxis):
"""A Y-axis applying additional rules.
Depending on the data and some built-in rules, the axis
may choose to adjust its range and origin.
"""
_attrMap = AttrMap(BASE = YValueAxis,
leftAxisPercent = AttrMapValue(isBoolean, desc='When true add percent sign to label values.'),
leftAxisOrigShiftIPC = AttrMapValue(isNumber, desc='Lowest label shift interval ratio.'),
leftAxisOrigShiftMin = AttrMapValue(isNumber, desc='Minimum amount to shift.'),
leftAxisSkipLL0 = AttrMapValue(EitherOr((isBoolean,isListOfNumbers)), desc='Skip/Keep lowest tick label when true/false.\nOr skiplist'),
labelVOffset = AttrMapValue(isNumber, desc='add this to the labels'),
)
def __init__(self,**kw):
YValueAxis.__init__(self,**kw)
self.requiredRange = 30
self.leftAxisPercent = 1
self.leftAxisOrigShiftIPC = 0.15
self.leftAxisOrigShiftMin = 12
self.leftAxisSkipLL0 = self.labelVOffset = 0
self.valueSteps = None
def _rangeAdjust(self):
"Adjusts the value range of the axis."
from reportlab.graphics.charts.utils import find_good_grid, ticks
y_min, y_max = self._valueMin, self._valueMax
m = self.maximumTicks
n = list(filter(lambda x,m=m: x<=m,[4,5,6,7,8,9]))
if not n: n = [m]
valueStep, requiredRange = self.valueStep, self.requiredRange
if requiredRange and y_max - y_min < requiredRange:
y1, y2 = find_good_grid(y_min, y_max,n=n,grid=valueStep)[:2]
if y2 - y1 < requiredRange:
ym = (y1+y2)*0.5
y1 = min(ym-requiredRange*0.5,y_min)
y2 = max(ym+requiredRange*0.5,y_max)
if y_min>=100 and y1<100:
y2 = y2 + 100 - y1
y1 = 100
elif y_min>=0 and y1<0:
y2 = y2 - y1
y1 = 0
self._valueMin, self._valueMax = y1, y2
T, L = ticks(self._valueMin, self._valueMax, split=1, n=n, percent=self.leftAxisPercent,grid=valueStep, labelVOffset=self.labelVOffset)
abf = self.avoidBoundFrac
if abf:
i1 = (T[1]-T[0])
if not isSeq(abf):
i0 = i1 = i1*abf
else:
i0 = i1*abf[0]
i1 = i1*abf[1]
_n = getattr(self,'_cValueMin',T[0])
_x = getattr(self,'_cValueMax',T[-1])
if _n - T[0] < i0: self._valueMin = self._valueMin - i0
if T[-1]-_x < i1: self._valueMax = self._valueMax + i1
T, L = ticks(self._valueMin, self._valueMax, split=1, n=n, percent=self.leftAxisPercent,grid=valueStep, labelVOffset=self.labelVOffset)
self._valueMin = T[0]
self._valueMax = T[-1]
self._tickValues = T
if self.labelTextFormat is None:
self._labelTextFormat = L
else:
self._labelTextFormat = self.labelTextFormat
if abs(self._valueMin-100)<1e-6:
self._calcValueStep()
vMax, vMin = self._valueMax, self._valueMin
m = max(self.leftAxisOrigShiftIPC*self._valueStep,
(vMax-vMin)*self.leftAxisOrigShiftMin/self._length)
self._valueMin = self._valueMin - m
if self.leftAxisSkipLL0:
if isSeq(self.leftAxisSkipLL0):
for x in self.leftAxisSkipLL0:
try:
L[x] = ''
except IndexError:
pass
L[0] = ''
class LogValueAxis(ValueAxis):
def _calcScaleFactor(self):
"""Calculate the axis' scale factor.
This should be called only *after* the axis' range is set.
Returns a number.
"""
self._scaleFactor = self._length / float(
math_log10(self._valueMax) - math_log10(self._valueMin))
return self._scaleFactor
def _setRange(self,dataSeries):
valueMin = self.valueMin
valueMax = self.valueMax
aMin = _findMin(dataSeries,self._dataIndex,0)
aMax = _findMax(dataSeries,self._dataIndex,0)
if valueMin is None: valueMin = aMin
if valueMax is None: valueMax = aMax
if valueMin>valueMax:
raise ValueError('%s: valueMin=%r should not be greater than valueMax=%r!' % (self.__class__.__name__valueMin, valueMax))
if valueMin<=0:
raise ValueError('%s: valueMin=%r negative values are not allowed!' % valueMin)
abS = self.avoidBoundSpace
if abS:
lMin = math_log10(aMin)
lMax = math_log10(aMax)
if not isSeq(abS): abS = abS, abS
a0 = abS[0] or 0
a1 = abS[1] or 0
L = self._length - (a0 + a1)
sf = (lMax-lMin)/float(L)
lMin -= a0*sf
lMax += a1*sf
valueMin = min(valueMin,10**lMin)
valueMax = max(valueMax,10**lMax)
self._valueMin = valueMin
self._valueMax = valueMax
def _calcTickPositions(self):
#self._calcValueStep()
valueMin = cMin = math_log10(self._valueMin)
valueMax = cMax = math_log10(self._valueMax)
rr = self.rangeRound
if rr:
if rr in ('both','ceiling'):
i = int(valueMax)
valueMax = i + 1 if i<valueMax else i
if rr in ('both','floor'):
i = int(valueMin)
valueMin = i - 1 if i>valueMin else i
T = [].append
tv = int(valueMin)
if tv<valueMin: tv += 1
n = int(valueMax) - tv + 1
i = max(int(n/self.maximumTicks),1)
if i*n>self.maximumTicks: i += 1
self._powerInc = i
while True:
if tv>valueMax: break
if tv>=valueMin: T(10**tv)
tv += i
if valueMin!=cMin: self._valueMin = 10**valueMin
if valueMax!=cMax: self._valueMax = 10**valueMax
return T.__self__
def _calcSubTicks(self):
if not hasattr(self,'_tickValues'):
self._pseudo_configure()
otv = self._tickValues
if not hasattr(self,'_subTickValues'):
T = [].append
valueMin = math_log10(self._valueMin)
valueMax = math_log10(self._valueMax)+1
tv = round(valueMin)
i = self._powerInc
if i==1:
fac = 10 / float(self.subTickNum)
start = 1
if self.subTickNum == 10: start = 2
while tv < valueMax:
for j in xrange(start,self.subTickNum):
v = fac*j*(10**tv)
if v > self._valueMin and v < self._valueMax:
T(v)
tv += i
else:
ng = min(self.subTickNum+1,i-1)
while ng:
if (i % ng)==0:
i /= ng
break
ng -= 1
else:
i = 1
tv = round(valueMin)
while True:
v = 10**tv
if v >= self._valueMax: break
if v not in otv:
T(v)
tv += i
self._subTickValues = T.__self__
self._tickValues = self._subTickValues
return otv
class LogAxisTickLabeller(TickLabeller):
def __call__(self,axis,value):
e = math_log10(value)
e = int(e-0.001 if e<0 else e+0.001)
if e==0: return '1'
if e==1: return '10'
return '10<sup>%s</sup>' % e
class LogAxisLabellingSetup:
def __init__(self):
if DirectDrawFlowable is not None:
self.labels = TypedPropertyCollection(XLabel)
if self._dataIndex==1:
self.labels.boxAnchor = 'e'
self.labels.dx = -5
self.labels.dy = 0
else:
self.labels.boxAnchor = 'n'
self.labels.dx = 0
self.labels.dy = -5
self.labelTextFormat = LogAxisTickLabeller()
else:
self.labelTextFormat = "%.0e"
class LogXValueAxis(LogValueAxis,LogAxisLabellingSetup,XValueAxis):
_attrMap = AttrMap(BASE=XValueAxis)
def __init__(self):
XValueAxis.__init__(self)
LogAxisLabellingSetup.__init__(self)
def scale(self, value):
"""Converts a numeric value to a Y position.
The chart first configures the axis, then asks it to
work out the x value for each point when plotting
lines or bars. You could override this to do
logarithmic axes.
"""
msg = "Axis cannot scale numbers before it is configured"
assert self._configured, msg
if value is None:
value = 0
if value == 0.:
return self._x - self._scaleFactor * math_log10(self._valueMin)
return self._x + self._scaleFactor * (math_log10(value) - math_log10(self._valueMin))
class LogYValueAxis(LogValueAxis,LogAxisLabellingSetup,YValueAxis):
_attrMap = AttrMap(BASE=YValueAxis)
def __init__(self):
YValueAxis.__init__(self)
LogAxisLabellingSetup.__init__(self)
def scale(self, value):
"""Converts a numeric value to a Y position.
The chart first configures the axis, then asks it to
work out the x value for each point when plotting
lines or bars. You could override this to do
logarithmic axes.
"""
msg = "Axis cannot scale numbers before it is configured"
assert self._configured, msg
if value is None:
value = 0
if value == 0.:
return self._y - self._scaleFactor * math_log10(self._valueMin)
return self._y + self._scaleFactor * (math_log10(value) - math_log10(self._valueMin))