def test_singleAnalysis(self):
# ----DATA-----
DATA_PATH = pyCGM2.TEST_DATA_PATH + "GaitData\CGM1-NormalGaitData-Events\Hånnibøl Lecter\\"
modelledFilenames = ["gait Trial 01.c3d", "gait Trial 02.c3d"]
#---- Analysis
#--------------------------------------------------------------------------
modelInfo = None
subjectInfo = None
experimentalInfo = None
analysisInstance = analysis.makeAnalysis(DATA_PATH, modelledFilenames)
ndp = normativeDatasets.Schwartz2008("Free")
gps = scores.CGM1_GPS()
scf = scores.ScoreFilter(gps, analysisInstance, ndp)
scf.compute()
# viewer
kv = plotViewers.GpsMapPlotViewer(analysisInstance)
# filter
pf = plotFilters.PlottingFilter()
pf.setViewer(kv)
pf.plot()
def plot_MAP(DATA_PATH,
analysis,
normativeDataset,
exportPdf=False,
outputName=None,
pointLabelSuffix=None,
show=True,
title=None,
exportPng=False):
"""
plot_MAP : display the Movement Analysis Profile
:param DATA_PATH [str]: path to your data
:param analysis [pyCGM2.Processing.analysis.Analysis]: pyCGM2 analysis instance
:param normativeDataset [pyCGM2.Report.normativeDatasets]: pyCGM2 normative dataset instance
**optional**
:param pointLabelSuffix [string]: (None) suffix added to outputs
:param exportPdf [bool]: save as pdf (False[default])
:param outputName [string]: name of your pdf file (None[default] export your pdf with name : Global Analysis)
:param show [bool]: enable matplotlib show function
:param title [string]: change default title of the plot panel
"""
if outputName is None:
outputName = "PyCGM2-Analysis"
if exportPdf or exportPng:
filenameOut = outputName + "-Map"
#compute
gps = scores.CGM1_GPS(pointSuffix=pointLabelSuffix)
scf = scores.ScoreFilter(gps, analysis, normativeDataset)
scf.compute()
#plot
kv = plotViewers.GpsMapPlotViewer(analysis,
pointLabelSuffix=pointLabelSuffix)
pf = plotFilters.PlottingFilter()
pf.setViewer(kv)
if exportPdf: pf.setExport(DATA_PATH, filenameOut, "pdf")
if title is not None: pf.setTitle(title + "-Map")
fig = pf.plot()
if show: plt.show()
if exportPng:
fig.savefig(DATA_PATH + filenameOut + ".png")
return fig, filenameOut + ".png"
else:
return fig
def singleAnalysis(cls):
# ----DATA-----
DATA_PATH = pyCGM2.TEST_DATA_PATH+"operations\\plot\\gaitPlot\\"
modelledFilenames = ["gait Trial 03 - viconName.c3d"]
#---- c3d manager
#--------------------------------------------------------------------------
c3dmanagerProcedure = c3dManager.UniqueC3dSetProcedure(DATA_PATH,modelledFilenames)
cmf = c3dManager.C3dManagerFilter(c3dmanagerProcedure)
cmf.enableEmg(False)
trialManager = cmf.generate()
#---- Analysis
#--------------------------------------------------------------------------
modelInfo=None
subjectInfo=None
experimentalInfo=None
analysis = gaitSmartFunctions.make_analysis(trialManager,
cgm.CGM1LowerLimbs.ANALYSIS_KINEMATIC_LABELS_DICT,
cgm.CGM1LowerLimbs.ANALYSIS_KINETIC_LABELS_DICT,
modelInfo,subjectInfo,experimentalInfo)
ndp = normativeDatasets.Schwartz2008("Free")
gps =scores.CGM1_GPS()
scf = scores.ScoreFilter(gps,analysis, ndp)
scf.compute()
# viewer
kv = plotViewers.GpsMapPlotViewer(analysis)
# filter
pf = plotFilters.PlottingFilter()
pf.setViewer(kv)
pf.setPath(DATA_PATH)
pf.setPdfName(str("map"))
pf.plot()
plt.show()
def singleAnalysis(cls):
# ----DATA-----
DATA_PATH = pyCGM2.TEST_DATA_PATH + "operations\\plot\\gaitPlot\\"
modelledFilenames = ["gait Trial 03 - viconName.c3d"]
#---- c3d manager
#--------------------------------------------------------------------------
c3dmanagerProcedure = c3dManager.UniqueC3dSetProcedure(
DATA_PATH, modelledFilenames)
cmf = c3dManager.C3dManagerFilter(c3dmanagerProcedure)
cmf.enableEmg(False)
trialManager = cmf.generate()
#---- Analysis
#--------------------------------------------------------------------------
modelInfo = None
subjectInfo = None
experimentalInfo = None
analysisInstance = analysis.makeAnalysis("Gait", "CGM1.0", DATA_PATH,
modelledFilenames, None, None,
None)
ndp = normativeDatasets.Schwartz2008("Free")
gps = scores.CGM1_GPS()
scf = scores.ScoreFilter(gps, analysisInstance, ndp)
scf.compute()
# viewer
kv = plotViewers.GpsMapPlotViewer(analysisInstance)
# filter
pf = plotFilters.PlottingFilter()
pf.setViewer(kv)
pf.setPath(DATA_PATH)
pf.setPdfName(str("map"))
pf.plot()
plt.show()