plot_auc does not work

[asmlgkj]

print(df_all_genes)

score	is_training	sparsity_sp	sparsity_sc	sparsity_diff

snap25 0.998232 False 0.000000 0.014610 -0.014610
gapdh 0.998188 False 0.000000 0.000968 -0.000968
ppia 0.998170 True 0.000000 0.000092 -0.000092
calm1 0.997935 False 0.000000 0.000369 -0.000369
calm2 0.997775 False 0.000000 0.001751 -0.001751
... ... ... ... ... ...
clec12a 0.000015 False 0.996914 0.998848 -0.001934
sntn 0.000015 False 0.996914 0.999493 -0.002579
prr32 0.000014 False 0.993827 0.999263 -0.005435
ms4a4c 0.000013 False 0.993827 0.999401 -0.005574
grifin 0.000012 False 0.996914 0.998986 -0.002072

tg.plot_auc(df_all_genes)

TypeError Traceback (most recent call last)
Cell In[92], line 1
----> 1 tg.plot_auc(df_all_genes)

File ~/micromamba/envs/spatialdata/lib/python3.10/site-packages/tangram/plot_utils.py:679, in plot_auc(df_all_genes, test_genes)
676 plt.figure(figsize=(6, 5))
678 plt.plot(pol_xs, pol_ys, c='r')
--> 679 sns.scatterplot(xs, ys, alpha=0.5, edgecolors='face')
681 plt.xlim([0.0, 1.0])
682 plt.ylim([0.0, 1.0])

TypeError: scatterplot() takes from 0 to 1 positional arguments but 2 were given