def toJSON(self):
"""
_toJSON_
Calculate average and standard deviation, store it
and call the parent class toJSON method
"""
for yLabel in self.yLabels:
numList = []
for xValue in self.data:
numList.append(self.data[xValue][yLabel])
(self.average[yLabel], self.stdDev[yLabel]) = getAverageStdDev(numList)
return SummaryHistogram.toJSON(self)
def toJSON(self):
"""
_toJSON_
Calculate average and standard deviation, store it
and call the parent class toJSON method
"""
for yLabel in self.yLabels:
numList = []
for xValue in self.data:
numList.append(self.data[xValue][yLabel])
(self.average[yLabel],
self.stdDev[yLabel]) = getAverageStdDev(numList)
return SummaryHistogram.toJSON(self)
def toJSON(self):
"""
_toJSON_
Bin the histogram if any, calculate the standard deviation. Store
the internal data needed for reconstruction of the histogram
from JSON and call superclass toJSON method.
"""
if self.nPoints:
self.stdDev = calculateStdDevFromQ(self.QValue, self.nPoints)
if not self.binned and self.storeHistogram:
self.binHistogram()
self.jsonInternal = {}
self.jsonInternal['yLabel'] = self.yLabel
self.jsonInternal['QValue'] = self.QValue
self.jsonInternal['nPoints'] = self.nPoints
return SummaryHistogram.toJSON(self)
def toJSON(self):
"""
_toJSON_
Bin the histogram if any, calculate the standard deviation. Store
the internal data needed for reconstruction of the histogram
from JSON and call superclass toJSON method.
"""
if self.nPoints:
self.stdDev = calculateStdDevFromQ(self.QValue, self.nPoints)
if not self.binned and self.storeHistogram:
self.binHistogram()
self.jsonInternal = {}
self.jsonInternal['yLabel'] = self.yLabel
self.jsonInternal['QValue'] = self.QValue
self.jsonInternal['nPoints'] = self.nPoints
return SummaryHistogram.toJSON(self)
