I currently have a dataframe which looks like this:

     name  class           scores
1     Bob  history     [13, 14, 11]
2   Chuck  math        [12,  7,  8]
3   Daren  history     [26, 14,  9]
4   Elisa  english     [ 8, 14, 10]
5   Aaron  history     [12, 13, 23]
6     Tom  math        [ 7,  7, 28]
7     Dan  history     [13,  2, 13]
8    Fred  english     [ 4,  1,  2]

And I would like to graph this dataframe with the x-axis being scores, the y-axis being the count of scores, and the label (or hue) to be determined by class. Ultimately, it would look similar to this plot (code from

where count would be the count of scores, flipper_length_mm would be the value of each score, and species would be class.

I have been trying all sorts of method with zippings and list flattenings but I can't seem to get anything to work. Any help is appreciated!

CodePudding user response：

explode scores column so that you can count each different element, and don't forget to set ignore_index=True:

df2 = df.explode('scores', ignore_index=True)
sns.histplot(df2, x="scores", hue="class", element='step')

Result: