def _main_(args):
#---------------------------------------------------------------------------
# TRACK LENGTH & WIDTH
df = DataLoadUtils.getAnalysisData(
analyzerClass=ComparisonAnalyzer,
filename='Length-Width-Deviations.csv')
df['site'] = df['Fingerprint'].str[:3]
tracks = DataLoadUtils.getTrackWithAnalysis()
df = pd.merge(
df, tracks[['uid', 'width']],
left_on='UID',
right_on='uid')
plotComparison(
label='Width',
key='Width Deviation',
df=df[df['Width Deviation'] >= 0.0],
binCount=10.0)
plotComparison(
label='Length',
key='Length Deviation',
df=df[df['Length Deviation'] >= 0.0],
binCount=10.0)
#---------------------------------------------------------------------------
# STRIDE LENGTH
df = DataLoadUtils.getAnalysisData(
analyzerClass=ValidationAnalyzer,
filename='Stride-Length-Deviations.csv')
df['site'] = df['Fingerprint'].str[:3]
df = pd.merge(
df, tracks[['uid', 'width']],
left_on='UID',
right_on='uid')
plotComparison(
label='Stride Length',
key='Deviation',
df=df,
binCount=10.0)
#---------------------------------------------------------------------------
# PACE LENGTH
df = DataLoadUtils.getAnalysisData(
analyzerClass=ValidationAnalyzer,
filename='Pace-Length-Deviations.csv')
df['site'] = df['Fingerprint'].str[:3]
df = pd.merge(
df, tracks[['uid', 'width']],
left_on='UID',
right_on='uid')
plotComparison(
label='Pace Length',
key='Deviation',
df=df,
binCount=10.0)
def run(args):
tracks = initialize()
structure = {}
#--- TRACK LENGTH & WIDTH ---#
df = DataLoadUtils.getAnalysisData(
analyzerClass=ComparisonAnalyzer,
filename='Length-Width-Deviations.csv',
renames={
'Width Deviation':'widthDeviation',
'Length Deviation':'lengthDeviation',
'Fingerprint':'fingerprint',
'UID':'uid'})
df = pd.merge(df, tracks, left_on='uid', right_on='uid')
structure['width'] = generateData( # Track Width
name='width',
key='widthDeviation',
df=df.query('widthDeviation >= 0.0'),
binCount=10.0)
structure['length'] = generateData( # Track Length
name='length',
key='lengthDeviation',
df=df.query('lengthDeviation >= 0.0'),
binCount=10.0)
#--- STRIDE LENGTH ---#
df = DataLoadUtils.getAnalysisData(
analyzerClass=ValidationAnalyzer,
filename='Stride-Length-Deviations.csv',
renames={'UID':'uid'})
df = pd.merge(df, tracks, on='uid')
structure['stride'] = generateData('stride', df, 'Deviation', 10.0)
#--- PACE LENGTH ---#
df = DataLoadUtils.getAnalysisData(
analyzerClass=ValidationAnalyzer,
filename='Pace-Length-Deviations.csv',
renames={'UID':'uid'})
df = pd.merge(df, tracks, on='uid')
structure['pace'] = generateData('pace', df, 'Deviation', 10.0)
writeStructureFile(structure)
validate()
def _main_(args):
tracks = DataLoadUtils.getTrackWithAnalysis()
tracks = tracks[(tracks.width > 0) & (tracks.length > 0)]
df = DataLoadUtils.getAnalysisData(
analyzerClass=StatisticsAnalyzer,
filename='Stride-Length-Quartiles.csv')
makeNormalityScatter('Stride Length', df)
df = DataLoadUtils.getAnalysisData(
analyzerClass=StatisticsAnalyzer,
filename='Pace-Length-Quartiles.csv')
makeNormalityScatter('Pace Length', df)
for site in tracks.site.unique():
dataSlice = tracks[(tracks.site == site) & tracks.pes]
makeTrackwayBox(
site=site,
data=dataSlice,
columnName='paceLength',
errorColumnName='paceLengthUnc',
trackwayData=df)
df = DataLoadUtils.getAnalysisData(
analyzerClass=StatisticsAnalyzer,
filename='Manus-Width-Quartiles.csv')
makeNormalityScatter('Manus Width', df)
df = DataLoadUtils.getAnalysisData(
analyzerClass=StatisticsAnalyzer,
filename='Manus-Length-Quartiles.csv')
makeNormalityScatter('Manus Length', df)
df = DataLoadUtils.getAnalysisData(
analyzerClass=StatisticsAnalyzer,
filename='Pes-Length-Quartiles.csv')
makeNormalityScatter('Pes Length', df)
df = DataLoadUtils.getAnalysisData(
analyzerClass=StatisticsAnalyzer,
filename='Gauge-Quartiles.csv')
makeNormalityScatter('Gauge', df)
widthDFrame = DataLoadUtils.getAnalysisData(
analyzerClass=StatisticsAnalyzer,
filename='Pes-Width-Quartiles.csv')
makeNormalityScatter('Pes Width', widthDFrame)
for site in tracks.site.unique():
dataSlice = tracks[(tracks.site == site) & tracks.pes]
makeTrackwayBox(
site=site,
data=dataSlice,
columnName='width',
errorColumnName='widthUncertainty',
trackwayData=widthDFrame)
def _main_(args):
dFrame = DataLoadUtils.getAnalysisData(
analyzerClass=StatisticsAnalyzer,
filename=TrackwayStatsStage.TRACKWAY_STATS_CSV)
unweightedDFrame = DataLoadUtils.getAnalysisData(
analyzerClass=StatisticsAnalyzer,
filename=TrackwayStatsStage.UNWEIGHTED_TRACKWAY_STATS_CSV)
for d in [dFrame, unweightedDFrame]:
d['Sitemap Name'] = d['Name'].str[:3]
d['Fractional Pes Width Uncertainty'] = \
100.0*d['Pes Width Uncertainty']/d['Pes Width']
items = [
dict(
label='Pes Width',
colName='Pes Width',
errColName='Pes Width Uncertainty'),
dict(
label='Manus Width',
colName='Manus Width',
errColName='Manus Width Uncertainty') ]
for item in items:
makeStackedBars(
label='Unweighted %s' % item['label'],
dataFrame=unweightedDFrame,
columnName=item['colName'],
errorColumnName=item['errColName'])
makeStackedBars(
label='Unweighted %s' % item['label'],
dataFrame=unweightedDFrame,
columnName=item['colName'],
errorColumnName=item['errColName'],
densityTraceFunction=getDensityDistributionTrace)
makeStackedBars(
label=item['label'],
dataFrame=dFrame,
columnName=item['colName'],
errorColumnName=item['errColName'])
makeStackedBars(
label=item['label'],
dataFrame=dFrame,
columnName=item['colName'],
errorColumnName=item['errColName'],
densityTraceFunction=getDensityDistributionTrace)
makeDensityDistribution(
label=item['label'],
dataFrame=dFrame,
columnName=item['colName'],
errorColumnName=item['errColName'])
makeDensityDistributionComparison(
label=item['label'],
dataFrame=dFrame,
unweightedDataFrame=unweightedDFrame,
columnName=item['colName'],
errorColumnName=item['errColName'])
makeComparison(
data=dFrame,
unweightedData=unweightedDFrame,
columnName=item['colName'],
label=item['label'])
makeComparison(dFrame, unweightedDFrame, 'Pes Length', 'Pes Length')
makeComparison(dFrame, unweightedDFrame, 'Stride Length', 'Stride Length')
makeComparison(dFrame, unweightedDFrame, 'Pace Length', 'Pace Length')
for entry in [('', dFrame), ('Unweighted', unweightedDFrame)]:
label = entry[0]
d = entry[1]
titlePrefix = ('%s ' % label) if label else ''
prefix = ('%s-' % label.lower()) if label else ''
makeTrackwayScatter(
name='%strackway-count-width-unc' % prefix,
data=d[(d['Pes Width'] > 0) & (d['Pes Length'] > 0)],
xName='Length',
yName='Fractional Pes Width Uncertainty',
title='%sStandard Error Track Width vs Track Count' % titlePrefix,
xLabel='Track Count (#)',
yLabel='Track Width Uncertainty (%)')
makeTrackwayScatter(
name='%strackway-pes-length-width' % prefix,
data=d[(d['Pes Width'] > 0) & (d['Pes Length'] > 0)],
xName='Pes Width',
yName='Pes Length',
xErrName='Pes Width Uncertainty',
yErrName='Pes Length Uncertainty',
title='%sTrackway Pes Length vs Width' % titlePrefix,
xLabel='Width (m)',
yLabel='Length (m)')
makeTrackwayScatter(
name='%strackway-manus-length-width' % prefix,
data=d[(d['Manus Width'] > 0) & (d['Manus Length'] > 0)],
xName='Manus Width',
yName='Manus Length',
xErrName='Manus Width Uncertainty',
yErrName='Manus Length Uncertainty',
title='%sTrackway Manus Length vs Width' % titlePrefix,
xLabel='Width (m)',
yLabel='Length (m)')
