How to plot multiple scalars in Tensorboard in the same figure without spamming the experiment list?

This is not an answer, just a workaround.

This too, is not an answer, (images taken from there).

I am looking for an answer with code in in pytorch-lightning.

---

I want to create graphs like this one

but without causing spam like this

All I could find was this answer, which explains only either how to plot such a multi-scalar graph with spam, or avoid spam while splitting the graphs.

How can I just get multiple scalars into a single graph?

Code (using pytorch lightning):

tb = self.logger.experiment  # This is a SummaryWriter

label_ind_by_names = {
            "A": 0,
            "B": 1,
            "C": 2,
            "D": 3,
            "E": 4,
            "F": 5,
            "G": 6,
            "H": 7,
            "I": 8,
            "J": 9, 
}

computed_confusion = np.random.randint(low=0, high=100, size=(10, 10))
per_class_accuracy = computed_confusion.diagonal()/(computed_confusion.sum(1) + np.finfo(float).eps)

drs = {names: per_class_accuracy[label_ind_by_names[names]] for names in label_ind_by_names.keys() if any("is_damaged_True" in n for n in names)}
fas = {names: 1.0 - per_class_accuracy[label_ind_by_names[names]] for names in label_ind_by_names.keys() if any("is_damaged_False" in n for n in names)}

code for separate graphs:

for names, dr in drs.items():
    tb.add_scalar(f"dr/{str(names)}", dr, self.current_epoch)
for names, fa in fas.items():
    tb.add_scalar(f"fa/{str(names)}", fa, self.current_epoch)

and for united graphs which disorganize the plot list

tb.add_scalars(
    "DR", {
        str(k): v for k, v in drs.items()
    },
    self.current_epoch
)
tb.add_scalars(
    "FA", {
        str(k): v for k, v in fas.items()
    },
    self.current_epoch
)

from How to plot multiple scalars in Tensorboard in the same figure without spamming the experiment list?