I need to plot comparison of five variable, stored in pandas dataframe. I used an example from here, it worked, but now I need to change the axes and titles, but I'm struggling to do so.
Here is my data:
df1.groupby('cls').head()
Out[171]:
sensitivity specificity accuracy ppv auc cls
0 0.772091 0.824487 0.802966 0.799290 0.863700 sig
1 0.748931 0.817238 0.776366 0.785910 0.859041 sig
2 0.774016 0.805909 0.801975 0.789840 0.853132 sig
3 0.826670 0.730071 0.795715 0.784150 0.850024 sig
4 0.781112 0.803839 0.824709 0.791530 0.863411 sig
0 0.619048 0.748290 0.694969 0.686138 0.713899 baseline
1 0.642348 0.702076 0.646216 0.674683 0.712632 baseline
2 0.567344 0.765410 0.710650 0.665614 0.682502 baseline
3 0.644046 0.733645 0.754621 0.683485 0.734299 baseline
4 0.710077 0.653871 0.707933 0.684313 0.732997 baseline
Here is my code:
>> fig, axes = plt.subplots(ncols=5, figsize=(12, 5), sharey=True)
>> df1.query("cls in ['sig', 'baseline']").boxplot(by='cls', return_type='axes', ax=axes)
And the resulting pictures are:
How to:
- change the title ('Boxplot groupped by cls')
- get rid of annoying [cls] plotted along the horizontal line
- reorder the plotted categories as they appear in df1? (first sensitivity, followed by speci...)