2.为每个细胞亚群进行美化 代码如下: 代码语言:javascript 复制 sc.pl.umap(data,color='louvain',palette={'0':"#FF0000",'1':"#FF5C00",'2':"#FFB800",'3':"#FFF500",'4':"#ADFF00",'5':"#00FF66",'6':"#00FFC2",'7':"#00FFFF",'8':"#00C2FF",'9':"#0047FF",'10':"#...
我们还可以进一步美化,代码实现如下: sc.pl.umap(data,color='louvain', palette={'0':"#E41A1C",'1':"#377EB8",'2':"#4DAF4A",'3':"#984EA3",'4':"#FF7F00",'5':"#FFFF33",'6':"#A65628",'7':"#F781BF",'8':"#FB9A99",'9':'#AFEEEE','10':'#00FFFF'}, legend_loc...
这个数据是利用scanpy进行聚类后的对象。 adata=sc.read_h5ad("/data1/zll/project/deepBase3/HCA/bone_marrow/scanpy/3_29_PC16_filterMore/umap_tsne_3_29.h5ad") 预处理数据,计算距离并可视化。 sc.tl.draw_graph(adata)sc.pl.draw_graph(adata,color='louvain',legend_loc='on data',title="") ou...
我们还可以进一步美化,代码实现如下: sc.pl.umap(data,color='louvain', palette={'0':"#E41A1C",'1':"#377EB8",'2':"#4DAF4A",'3':"#984EA3",'4':"#FF7F00",'5':"#FFFF33",'6':"#A65628",'7':"#F781BF",'8':"#FB9A99",'9':'#AFEEEE','10':'#00FFFF'}, legend_loc...