Mean alignment similarity percentage (matched %):
100.0 %
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/share/home/envs/g2g_env/lib/python3.8/site-packages/genes2genes/Main.py", line 493, in get_stat_df
VisualUtils.plot_alignmentSim_vs_optCost(df)
File "/share/home/envs/g2g_env/lib/python3.8/site-packages/genes2genes/VisualUtils.py", line 194, in plot_alignmentSim_vs_optCost
sb.scatterplot(x=x['opt_alignment_cost'],y=x['alignment_similarity_percentage']*100,s=120, legend=False, hue =x['alignment_similarity_percentage'] ,
File "/share/home/envs/g2g_env/lib/python3.8/site-packages/seaborn/relational.py", line 621, in scatterplot
p.map_hue(palette=palette, order=hue_order, norm=hue_norm)
File "/share/home/envs/g2g_env/lib/python3.8/site-packages/seaborn/_base.py", line 838, in map_hue
mapping = HueMapping(self, palette, order, norm, saturation)
File "/share/home/envs/g2g_env/lib/python3.8/site-packages/seaborn/_base.py", line 150, in __init__
levels, lookup_table = self.categorical_mapping(
File "/share/home/envs/g2g_env/lib/python3.8/site-packages/seaborn/_base.py", line 248, in categorical_mapping
colors = color_palette(palette, n_colors)
File "/share/home/envs/g2g_env/lib/python3.8/site-packages/seaborn/palettes.py", line 245, in color_palette
pal_cycle = cycle(palette)
TypeError: 'LinearSegmentedColormap' object is not iterable
Hi, thanks for this interesting new approach for studying single-cell trajectories. I was following the tutorial notebook at https://github.com/Teichlab/Genes2Genes/blob/main/notebooks/Tutorial.ipynb and ran into errors during the Analysing gene-level alignments step:
df = aligner.get_stat_df() # ordered genes according to alignment similarity statisticserrors with: