TADPOLE_D1_D2.py 文件源码

def checkFSXvalsAgainstADNIMERGE(tadpoleDF, mriADNI1FileFSX, otherSSvisCodeStr, ssNameTag,
                                 ignoreMissingCols = False):
  nrRows, nrCols = tadpoleDF.shape
  colListOtherSS = list(ssDF.columns.values)
  colListTadpoleDF = list(tadpoleDF.columns.values)

  tadpoleDF[['Hippocampus', 'ST29SV%s' % ssNameTag, 'ST88SV%s' % ssNameTag]] = \
    tadpoleDF[['Hippocampus', 'ST29SV%s' % ssNameTag, 'ST88SV%s' % ssNameTag]].apply(pd.to_numeric, errors='coerce')


  tadpoleDF['HIPPOSUM'] = tadpoleDF['ST29SV%s' % ssNameTag] + tadpoleDF['ST88SV%s' % ssNameTag]
  for r in range(nrRows):

    valsNan = np.isnan(tadpoleDF['Hippocampus'][r]) or (np.isnan(tadpoleDF['ST29SV%s' % ssNameTag][r]) and \
                 np.isnan(tadpoleDF['ST88SV%s' % ssNameTag][r]))
    if valsNan:
      continue

    valsNotEq = tadpoleDF['Hippocampus'][r] != (tadpoleDF['ST29SV%s' % ssNameTag][r] + tadpoleDF['ST88SV%s' % ssNameTag][r])
    if valsNotEq:
      print('entries dont match\n ', tadpoleDF[['RID','VISCODE', 'Hippocampus', 'ST29SV%s' % ssNameTag,\
        'ST88SV%s' % ssNameTag, 'HIPPOSUM']].iloc[r])

  # Conclusion: the reason why entries above don't match is because UCSFFSX has duplicate entries for the same subject and viscode.