docs: def prebinned_hist(counts, binlims, ax=None, *args, **kwargs):
      """Plot a histogram with counts, binlims already given.
  
      Example
      =======
      >>> gaus = np.random.normal(size=100)
      >>> counts, binlims = np.histogram(gaus, bins='auto')
      >>> prebinned_hist(countsl binlims)
      """
      ax = get_ax(ax)
      x = bincenters(binlims)
      weights = counts
      return ax.hist(x, bins=binlims, weights=weights, *args, **kwargs)