old_contents: #!/usr/bin/env python
  
  import climate
  import collections
  import joblib
  
  import database
  
  
  def count(trial):
      trial.load()
      trial.reindex(100)
      trial.mask_dropouts()
      markers = []
      for m in trial.marker_columns:
          s = trial[m + '-c']
          if s.count() > 0.01 * len(s):
              markers.append(m)
      return markers
  
  
  def main(root):
      trials = database.Experiment(root).trials_matching('*')
      counts = collections.defaultdict(int)
      f = joblib.delayed(count)
      for markers in joblib.Parallel(-1)(f(t) for t in trials):
          for m in markers:
              counts[m] += 1
      for m, c in sorted(counts.items(), key=lambda x: -x[1]):
          print(c, m)
  
  
  if __name__ == '__main__':
      climate.call(main)
  
new_contents: #!/usr/bin/env python
  
  import climate
  import collections
  import joblib
  
  import database
  
  
  def count(trial):
      trial.load()
      trial.reindex(100)
      trial.mask_dropouts()
      markers = []
      for m in trial.marker_columns:
          s = trial.df[m + '-c']
          if s.count() > 0.1 * len(s):
              markers.append(m)
      return markers
  
  
  def main(root):
      trials = database.Experiment(root).trials_matching('*')
      counts = collections.defaultdict(int)
      f = joblib.delayed(count)
      for markers in joblib.Parallel(-1)(f(t) for t in trials):
          for m in markers:
              counts[m] += 1
      for m, c in sorted(counts.items(), key=lambda x: -x[1]):
          print(c, m)
  
  
  if __name__ == '__main__':
      climate.call(main)
  
subject: Increase fraction of non-dropout frames required.