I'm hoping there is a way to improve the default behavior of hist, which often generates gap artifacts between classes in histograms. For example, even using clean integer data that has natural breaks:

lsl_dr.degree_hl.dropna().value_counts()

6    10446
3     3127
4     3041
5     2705
2     1416
0      549
1      170
dtype: int64

I get a result like the following:

This plot is misleading because it suggests there are intervening classes with zero counts in between the bars. I assume this is a solved problem, since it does not occur in other packages (e.g. ggplot).