code: def loghistogram(data, base=2, ascii=True, title="Counts", summary=False):
      
      from jcvi.utils.cbook import percentage
  
      if summary:
          unique = len(data)
          total = sum(data)
  
          # Print out a distribution
          print("Unique: {0}".format(percentage(unique, total)), file=sys.stderr)
  
      bins = defaultdict(int)
      for d in data:
          logd = int(log(d, base))
          bins[logd] += 1
  
      x, y = [], []
      for size, number in sorted(bins.items()):
          lb, ub = base ** size, base ** (size + 1)
          x.append((lb, ub))
          y.append(number)
  
      asciiplot(x, y, title=title)
docs: bins is a dictionary with key: log(x, base), value: counts.