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python 借助scanpy工具画热图 heatmap，自定义修改

df = pd.DataFrame({ 'col1': ['A', 'A', 'B', np.nan, 'D', 'C'], 'col2': [2, 1, 9, 8, 7, 4], 'col3': [0, 1, 9, 4, 2, 3], 'col4': ['a', 'B', 'c', 'D', 'e', 'F']})df col1 col2 col3 col40 A 2 0 a1 A 1 1 B2

问题描述：如何用Matplotlib在Python中添加散点着色的图例，我有不同颜色不同cluster的，如何给每个cluster上颜色参考：https://datavizpyr.com/add-legend-to-scatterplot-colored-by-a-variable-with-matplotlib-in-python/plt.figure(figsize=(8,6))scatter = plt.scatter(df.culmen_length_mm, df.c

seurat 表达矩阵访问seurat有个active assay，它其中存的就是表达矩阵，用pbmc[[“RNA”]]@counts就可以访问数据标准化后的基因表达矩阵放在：pbmc[[“RNA”]]@data

不同长度向量合并为data.frame># 构造列表> (a_list = list(+ c(1, 1, 2, 5, 14, 42), + month.abb,+ c(1, 1, 2, 5, 14, 42, 22,88, 0)))# [[1]]# [1] 1 1 2 5 14 42# # [[2]]# [1] "Jan" "Feb" "Mar" "Apr" "May" "Jun" "Jul" "Aug" "Sep" "Oct" "Nov" "Dec"#

R， seurat object, dotplot 在不同细胞类型间的基因表达library(ggplot2)library(ggpubr)features<- c("CD8A","CD14")dotplt = DotPlot(sub.combined, features = features, cols = c('white','#F8766D'),dot.scale=4.5) + RotatedAxis()dotplt = dotplt + theme(axis.text.x = el

R语言，object：seurat object，想要实现画出不同cluster里不同来源的比例图library(dittoSeq)d1 <- dittoBarPlot( object = combined.integrated, var = "Group", group.by = "seurat_clusters")d1实现效果

R语言画并列的柱状图代码barplot(number_list, main = "seem like title?", beside=TRUE, legend=TRUE, args.legend = list(x ="topright", bty ="n", inset=c(0, 0)), family='SyHei', col=c("pink","cyan"),las=2) # las=2转置横坐标beside=TRUE ，两个轴并列放置las=2，旋转了X轴横坐标的方向更多可参考：htt

ggplot画图：rotate_x_text() 转置横坐标的字体，ggpubr 包 barplot画柱状图，las=2转置横坐标

R 语言，Seurat object，想要实现多个小提琴图在一个图的效果，想要实现的效果如下所示：library(Seurat)library(SeuratData)library(ggplot2)library(ggpubr)## remove the x-axis text and tick## plot.margin to adjust the white space between each plot.## ... pass any arguments to VlnPlot in

例子：实现统计某一列频数大于2的名称a <- c(10,20,30,40,10,20,30,40)b <- c('book', 'pen', 'textbook', 'pencil_case','book', 'pen', 'textbook', 'textbook')df <- data.frame(a,b)# printtable(df$b)[table(df$b)>2]names(table(df$b))[table(df$b)>2]output