code: def parse_plotEnrichment(self):
          
          self.deeptools_plotEnrichment = dict()
          for f in self.find_log_files('deeptools/plotEnrichment'):
              parsed_data = self.parsePlotEnrichment(f)
              for k, v in parsed_data.items():
                  if k in self.deeptools_plotEnrichment:
                      log.warning("Replacing duplicate sample {}.".format(k))
                  self.deeptools_plotEnrichment[k] = v
  
              if len(parsed_data) > 0:
                  self.add_data_source(f, section='plotEnrichment')
  
          if len(self.deeptools_plotEnrichment) > 0:
              dCounts = OrderedDict()
              dPercents = OrderedDict()
              for sample, v in self.deeptools_plotEnrichment.items():
                  dCounts[sample] = OrderedDict()
                  dPercents[sample] = OrderedDict()
                  for category, v2 in v.items():
                      dCounts[sample][category] = v2['count']
                      dPercents[sample][category] = v2['percent']
              config = {'data_labels': [
                            {'name': 'Counts in features', 'ylab': 'Counts in feature'},
                            {'name': 'Percents in features', 'ylab': 'Percent of reads in feature'}],
                        'id': 'deeptools_enrichment_plot',
                        'title': 'deepTools: Signal enrichment per feature',
                        'ylab': 'Counts in feature',
                        'categories': True,
                        'ymin': 0.0}
              self.add_section(name="Feature enrichment",
                               description="Signal enrichment per feature according to plotEnrichment",
                               anchor="deeptools_enrichment",
                               plot=linegraph.plot([dCounts, dPercents], pconfig=config))
  
          return len(self.deeptools_plotEnrichment)
docs: Find plotEnrichment output.