highlight=pl.umap#scanpy.pl.umap https://scanpy.discourse.group/t/specifying-color-of-umap-cluster/538/2 自己选择喜欢的颜色: palette CD4 :"RED" louvain结果的颜色,竟然可以直接被修改。louvain结果的颜色存在了.uns['louvain_colors']变量中 scanpy color 的palette可以选择的颜色有哪些? 微信图片转换为...
2.2 ggplot2 绘制umap图 调整color,颜色列表来自于https://www.jianshu.com/p/67d2decf5517 代码语言:javascript 复制 allcolour=c("#DC143C","#0000FF","#20B2AA","#FFA500","#9370DB","#98FB98","#F08080","#1E90FF","#7CFC00","#FFFF00","#808000","#FF00FF","#FA8072","#7B68EE...
方法一: sc.pl.umap(adata,color=['Cluster'], palette={ "clusterA": "#d5695d", "clusterB": "#5d8ca8", "clusterC": "lightgrey",}) 这样就可以任意修改为自己的颜色了 方法二: from matplotlib import pyplot as plt, cm as mpl_cm from cycler import cycler sc.pl.umap( adata, color=...
color = celltype)) + stat_unchull(data=subset(data, celltype=="B_cell"), alpha = 0.2, size = 0.5, show.legend = F, nbin = 300, nsm = 20, qval = 0.8, sfac = 1.5) + geom_point(size = 1) + theme_classic()+ theme(axis.text = element_text(colour = 'black', size = 12...
update_layout( plot_bgcolor='black',paper_bgcolor="black" ) # update the font color fig.update_layout(font = dict(color = 'white')) fig.show() 可视化效果,这里因为用的Python中的Plotly包,所以可以拖动3D流形进行可视化: 0 如果对数据进行Downsample,减少细胞的数量后再进行降维,可以看得细胞越少,...
#ggplot作图p = ggplot()+geom_point_rast(data=df, aes(x= UMAP_1 , y = UMAP_2 ,color = cell_type),size = 1,shape=16) +scale_color_manual(values = alpha(cols,0.3))+ #设置下透明度theme_classic()+theme(panel.grid.major = element_blank(),panel.grid.minor = element_blank(),axis...
(x=UMAP_1,y=UMAP_2,fill=celltype,color=celltype))+stat_unchull(data=subset(data,celltype=="B_cell"),alpha=0.2,size=0.5,show.legend=F,nbin=300,nsm=20,qval=0.8,sfac=1.5)+geom_point(size=1)+theme_dr()+theme(panel.grid.=(),panel.grid.minor=(values=cluster_cols)+scale_color_...
sc.pl.umap(data,color='louvain') 可视化结果: 1.为每个细胞亚群指定特定颜色 代码如下: sc.pl.umap(data,color='louvain',palette={'0':"#FF0000",'1':"#FF5C00",'2':"#FFB800", '3':"#FFF500",'4':"#ADFF00",'5':"#00FF66", ...
sc.pl.umap(data,color='louvain') 可视化结果: 1.为每个细胞亚群指定特定颜色 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':"#00F...
color spaces and their transformations, real and complex algebra, statistical distributions, special math functions, digital response filters, discrete orthogonal transforms and more. Suitable for a wide range of tasks: symbolic and graphical visualization of data, ...