Ordering boxplot x-axis in seaborn

Question

My dataframe round_data looks like this:

      error                         username                    task_path
0      0.02  n49vq14uhvy93i5uw33t         


        

Answer 1

ok, I figured out the answer:

    grouped = round_data[round_data.batch==i].groupby("username")
users_sorted_average = pd.DataFrame({col:vals['absolute_error'] for col,vals in grouped}).mean().sort_values(ascending=True)   

passing users_sorted_average for the "order" parameter in the seaborn plot function would give the desired behavior:

    ax = sns.boxplot(x="username", y="error", data=round_data,
                 whis=np.inf,ax=ax,color=c,order=users_sorted_average.index)