Run scv.pl. velocity_ Embedding_ Stream error

[JWJ13164328557]

I don't know how to solve this problem, please help me check my mistake.

I tried to lower the filtering criteria(min_shared_counts=10), but the prompt message remained the same.
But the most important mistake is the inability to produce a diagram.
My command：
import scvelo as scv
adata = scv.read('test.h5ad')
scv.pp.filter_and_normalize(adata, min_shared_counts=20, n_top_genes=2000)
scv.pp.moments(adata, n_pcs=30, n_neighbors=30)
scv.tl.velocity(adata)
scv.tl.velocity_graph(adata)
scv.set_figure_params(dpi=300)
scv.pl.velocity_embedding_stream(adata, basis="umap", size= 10, alpha=0.6, color="seurat_clusters",title = None,dpi = 300,save = "velocity_embedding_stream.png")
ERROR：

import scvelo as scv
adata = scv.read('/home/jiwj/RNAsulv/VV/S53/test.h5ad')
scv.pp.filter_and_normalize(adata, min_shared_counts=20, n_top_genes=2000)
Filtered out 21838 genes that are detected 20 counts (shared).
Normalized count data: X, spliced, unspliced.
Extracted 2000 highly variable genes.
Logarithmized X.
scv.pp.moments(adata, n_pcs=30, n_neighbors=30)
computing neighbors
finished (0:00:34) --> added
'distances' and 'connectivities', weighted adjacency matrices (adata.obsp)
computing moments based on connectivities
finished (0:00:07) --> added
'Ms' and 'Mu', moments of un/spliced abundances (adata.layers)
scv.tl.velocity(adata)
computing velocities
WARNING: Too few genes are selected as velocity genes. Consider setting a lower threshold for min_r2 or min_likelihood.
finished (0:00:07) --> added
'velocity', velocity vectors for each individual cell (adata.layers)
scv.tl.velocity_graph(adata)
computing velocity graph (using 1/96 cores)
0%| | 0/41636 [00:00<?, ?cells/s]
finished (0:00:28) --> added
'velocity_graph', sparse matrix with cosine correlations (adata.uns)
scv.set_figure_params(dpi=300)
scv.pl.velocity_embedding_stream(adata, basis="umap", size= 10, alpha=0.6, color="seurat_clusters",title = None,dpi = 300,save = "velocity_embedding_stream.png")
computing velocity embedding
finished (0:00:13) --> added
'velocity_umap', embedded velocity vectors (adata.obsm)
Traceback (most recent call last):
File "", line 1, in
File "/home/jiwj/miniconda3/envs/RNAsulv/lib/python3.9/site-packages/scvelo/plotting/velocity_embedding_stream.py", line 252, in velocity_embedding_stream
ax = scatter(
File "/home/jiwj/miniconda3/envs/RNAsulv/lib/python3.9/site-packages/scvelo/plotting/scatter.py", line 668, in scatter
set_legend(
File "/home/jiwj/miniconda3/envs/RNAsulv/lib/python3.9/site-packages/scvelo/plotting/utils.py", line 555, in set_legend
obs_vals.cat.categories = obs_vals.cat.categories.astype(str)
File "/home/jiwj/miniconda3/envs/RNAsulv/lib/python3.9/site-packages/pandas/core/base.py", line 178, in setattr
object.setattr(self, key, value)
File "/home/jiwj/miniconda3/envs/RNAsulv/lib/python3.9/site-packages/pandas/core/accessor.py", line 99, in _setter
return self._delegate_property_set(name, new_values)
File "/home/jiwj/miniconda3/envs/RNAsulv/lib/python3.9/site-packages/pandas/core/arrays/categorical.py", line 2867, in _delegate_property_set
return setattr(self._parent, name, new_values)
AttributeError: can't set attribute

[JWJ13164328557]

scv.pl.velocity_embedding_stream(adata, basis="umap",save = "velocity_embedding_stream.png")
When I modify the parameters here, I can generate an image, but there is no color. What is the problem