from torch import rand, randint
from torchmetrics.classification import MultilabelPrecisionAtFixedRecall
metric = MultilabelPrecisionAtFixedRecall(num_labels=3, min_recall=0.5)
values = [ ]
for _ in range(10):
    # we index by 0 such that only the maximum recall value is plotted
    values.append(metric(rand(20, 3), randint(2, (20, 3)))[0])
fig_, ax_ = metric.plot(values)