def _postAnalyze(self):
"""_postAnalyze doc..."""
ratios = []
for name, curve in DictUtils.iter(self.data):
segments = curve.segments
for i in ListUtils.rangeOn(segments):
segment = segments[i]
segmentLine = segment.line
# If this is an extrapolated segment, use the length from the neighboring segment
# instead of the artificial length of this segment.
if segment == segments[0]:
segmentLine = segments[i + 1].line
elif segment == segments[-1]:
segmentLine = segments[i - 1].line
for pairData in segment.pairs:
projectionLine = pairData["line"]
ratios.append(100.0 * projectionLine.length.raw / segmentLine.length.raw)
h = Histogram(
data=ratios,
binCount=50,
xLabel="Projection/Stride Ratio (%)",
title="Relative Stride to Projection Length Ratios",
)
h.shaveDataToXLimits()
self._paths.append(h.save(path=self.getTempFilePath(extension="pdf")))
self.mergePdfs(self._paths, "Curve-Projection.pdf")
def _histogramTrackwaySparseness(self, label, values):
""" Creates a histogram for each trackway entry in the values list. """
path = self.getTempFilePath(extension='pdf')
h = Histogram(data=values, isLog=True)
h.xLimits = [0, 200]
h.binCount = 20
h.xLabel = 'Relative Sparseness (%)'
h.title = 'Trackway Sparseness (%s)' % label
h.shaveDataToXLimits()
h.save(path=path)
return path
def _histogramSeriesSparseness(self, label, values):
"""_histogramSeriesSparseness doc..."""
path = self.getTempFilePath(extension='pdf')
h = Histogram(data=values, isLog=True)
h.xLimits = [0, 200]
h.binCount = 20
h.xLabel = 'Relative Sparseness (%)'
h.title = 'Track Series Sparseness (%s)' % label
h.shaveDataToXLimits()
h.save(path=path)
return path
