def FindBinWidth(self):
dataMin = int(SummaryCalcs.minimum(self.data))
dataMax = int(SummaryCalcs.maximum(self.data))
dataRange = dataMax - dataMin
binWidth = 1
if dataRange <= 10:
maxBins = 3
binInc = 1
else:
maxBins = 10
binInc = 5
numToDiv = int(dataRange/binWidth)
while numToDiv > maxBins:
binWidth += binInc
numToDiv = int(dataRange/binWidth)
self.binWidth = binWidth
#generate bin array
binArray = []
binVal = 0
while (len(binArray) == 0) or (binArray[-1] <= dataMax):
if len(binArray) == 0:
if binVal <= dataMin < binVal+binWidth:
binArray.append(binVal)
binVal += binWidth
else:
binVal += binWidth
else:
binArray.append(binVal)
binVal += binWidth
self.binArray = binArray
def reDraw(self, newData, newData2=[]):
self.data = newData
if len(newData2) > 0:
self.data2 = newData2
self.doubleBox = True
self.min2 = SummaryCalcs.minimum(self.data2)
self.q12 = SummaryCalcs.quar1(self.data2)
self.mean2 = SummaryCalcs.mean(self.data2)
self.q32 = SummaryCalcs.quar3(self.data2)
self.max2 = SummaryCalcs.maximum(self.data2)
else:
self.doubleBox = False
self.min = SummaryCalcs.minimum(self.data)
self.q1 = SummaryCalcs.quar1(self.data)
self.mean = SummaryCalcs.mean(self.data)
self.q3 = SummaryCalcs.quar3(self.data)
self.max = SummaryCalcs.maximum(self.data)
self.scale = self.calcScale()
if self.doubleBox:
if self.min - self.min2 > 0:
self.lower = 1
else:
self.lower = 2
if self.max - self.max2 > 0:
self.higher = 1
else:
self.higher = 2
self.parent.delete("all")
self.draw_plot()
def calcScale(self, scale):
if scale == 'x':
Xrange = SummaryCalcs.maximum(self.dataX)
if Xrange == 0:
return 1
return (self.master_size[0]-self.bufferZone[0]*2)/Xrange
else:
Yrange = SummaryCalcs.maximum(self.dataY)
if Yrange == 0:
return 1
return (self.master_size[1]-self.bufferZone[1]*2)/Yrange
def LineOfBestFit(self):
xBar = SummaryCalcs.mean(self.dataX)
yBar = SummaryCalcs.mean(self.dataY)
bigEQtop = 0
bigEQbottom = 0
for i in range(0, len(self.dataX)):
xEQ = self.dataX[i] - xBar
bigEQtop += (xEQ * (self.dataY[i] - yBar))
bigEQbottom += (xEQ * xEQ)
self.LBslope = bigEQtop / bigEQbottom
self.Bval = yBar - (self.LBslope * xBar)
print "y = " + str(round(self.LBslope,3)) + "x+" + str(round(self.Bval,3))
self.drawLB()
def calcScale(self, axis):
if axis == 'x':
masterSizeXwoBuffer = self.master_size[0] - self.bufferZone[0]*2
scaleX = masterSizeXwoBuffer / len(self.binArray)
return scaleX
else:
masterSizeYwoBuffer = self.master_size[1] - self.bufferZone[1]*2
scaleY = masterSizeYwoBuffer / SummaryCalcs.maximum(self.dataCounted)
return scaleY
def __init__(self, master, data, data2=[], master_size=[640, 640], color="black", color2="black", axisColor="black", bufferZone=[20, 20]):
self.parent = master
self.master_size = master_size
self.color = color
self.color2 = color2
self.axisColor = axisColor
self.bufferZone = bufferZone
self.bufferZone2 = [bufferZone[0], bufferZone[1]+70]
self.data = data
if len(data2) > 0:
self.data2 = data2
self.doubleBox = True
self.min2 = SummaryCalcs.minimum(self.data2)
self.q12 = SummaryCalcs.quar1(self.data2)
self.mean2 = SummaryCalcs.mean(self.data2)
self.q32 = SummaryCalcs.quar3(self.data2)
self.max2 = SummaryCalcs.maximum(self.data2)
else:
self.doubleBox = False
self.min = SummaryCalcs.minimum(self.data)
self.q1 = SummaryCalcs.quar1(self.data)
self.mean = SummaryCalcs.mean(self.data)
self.q3 = SummaryCalcs.quar3(self.data)
self.max = SummaryCalcs.maximum(self.data)
self.scale = self.calcScale()
if self.doubleBox:
if self.min - self.min2 > 0:
self.lower = 1
else:
self.lower = 2
if self.max - self.max2 > 0:
self.higher = 1
else:
self.higher = 2
self.draw_plot()
