I got a DF with two column that shows if a person have dept in this month and the previous one.
Moroso morosoant
1 0
1 1
0 0
So I'd like to plot the amount of paid and unpaid for both cols.
I've tried this for ploting the values for just on
sn.catplot(kind="bar",x="MOROSO",y="MOROSO",data=pd.DataFrame(df["MOROSO"].value_counts()))
I would like to add the morosoant col next to the moroso column.
CodePudding user response:
Seaborn's works easiest with a dataframe in 
PS: If df looks like:
Moroso Morosoant
0 0 1
1 1 1
2 1 0
3 1 1
4 0 1
Then df_long (before the replace) will look like:
variable Legend
0 Moroso 0
1 Moroso 1
2 Moroso 1
3 Moroso 1
4 Moroso 0
5 Morosoant 1
6 Morosoant 1
7 Morosoant 0
8 Morosoant 1
9 Morosoant 1

