def initialize():
path = FileUtils.makeFolderPath(MY_DIR, 'data')
SystemUtils.remove(path)
os.makedirs(path)
tracks = DataLoadUtils.getTrackWithAnalysis()
return tracks[['uid', 'site', 'width', 'sizeClass']]
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 _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):
tracks = DataLoadUtils.getTrackWithAnalysis()
with open(METADATA_FILE, 'r') as f:
metadata = json.loads(f.read())
doPlot = functools.partial(
plotComparison,
tracks=tracks,
metadata=metadata)
doPlot(name='width', label='Width')
doPlot(name='length', label='Length')
doPlot(name='stride', label='Stride Length')
doPlot(name='pace', label='Pace Length')
def run(args):
reporting.initialize(__file__)
metadata = reporting.create_metadata_dict()
tracks = DataLoadUtils.getTrackWithAnalysis()
tracks = tracks.query('site == "BEB" and level == "500"').copy()
tracks["number"] = tracks["number"].str.zfill(4)
for trackwayNumber in tracks["trackwayNumber"].unique():
metadata[trackwayNumber] = generateData(tracks=tracks.query('trackwayNumber == "{}"'.format(trackwayNumber)))
reporting.write_metadata_file(METADATA_FILE, metadata)
reporting.validate_h5_data(OUT_PATH, test_key="/trackway/tw_1")
def _main_(args):
tracks = DataLoadUtils.getTrackWithAnalysis()
tracks = tracks[(tracks.length > 0) & (tracks.width > 0)]
pesTracks = tracks[tracks.pes]
makePlot('Pes', pesTracks)
df = pesTracks
makeHistograms(
label='Pes Width',
columnName='width',
errorColumnName='widthUncertainty',
tracks=df)
makeStackedBars('Pes Width', 'width', df)
df = pesTracks[pesTracks['strideLength'] > 0]
makeHistograms(
label='Stride Length',
columnName='strideLength',
errorColumnName='strideLengthUnc',
tracks=df)
makeStackedBars('Stride Length', 'strideLength', df)
df = pesTracks[pesTracks['paceLength'] > 0]
makeHistograms(
label='Pace Length',
columnName='paceLength',
errorColumnName='paceLengthUnc',
tracks=df)
makeStackedBars('Pace Length', 'paceLength', df)
manusTracks = tracks[~tracks.pes]
makePlot('Manus', manusTracks)
makeHistograms(
label='Manus Width',
columnName='width',
errorColumnName='widthUncertainty',
tracks=manusTracks)
makeStackedBars('Manus Width', 'width', manusTracks)
def _main_(args):
trackways = DataLoadUtils.getTrackwaysWithAnalysis()
tracks = DataLoadUtils.getTrackWithAnalysis()
