code: def as_data_frame(self) -> pandas.DataFrame:
          
          header_gene = {}
          header_multiplex = {}
          headr_transitions = {}
          for gene in self.influence_graph.genes:
              header_gene[gene] = repr(gene)
              header_multiplex[gene] = f"active multiplex on {gene!r}"
              headr_transitions[gene] = f"K_{gene!r}"
          
          columns = defaultdict(list)
          for state in self.table.keys():
              for gene in self.influence_graph.genes:
                  columns[header_gene[gene]].append(state[gene])
                  columns[header_multiplex[gene]].append(self._repr_multiplexes(gene, state))
                  columns[headr_transitions[gene]].append(self._repr_transition(gene, state))
  
          header = list(header_gene.values()) + list(header_multiplex.values()) + list(headr_transitions.values())
          return pandas.DataFrame(columns, columns=header)
docs: Create a panda DataFrame representation of the resource table.