【Python环境】如何使用正确的姿势进行高效Python函数式编程？
当你使用column_to_rownames时，它变成了一个 Dataframe ，因为tibles不能有行名。
当你使用column_to_rownames时，它变成了一个 Dataframe ，因为tibles不能有行名。
在日常办公工作中，我们可能会碰到多个或者几百上千个数据结构都相同 sheet工作表需要你进行合并汇总。而...
在这里以gogadget.gmt为例,这个函数从goseq中提取基因的GO注释(用的是goseq中的函数getgo),目标是要写出一个gmt格式的文件,一个GO是一column,另一个column是对应的所有基因ID,以tab分隔,好了,这么简单的事情,作者不知道怎么搞,于是在Bioconductor上问网友(https://support.bioconductor.org/p/77134/)。
You can also do this tidyverse solution using column_to_rownames on your tibble without explicitly converting to another form, but it will do so internally and return a data.frame: library(tidyverse) library(dplyr) kirp.mut <- kirp.mut %>% column_to_rownames(var = "sample_id") See ...
For anyone working in the tidyverse (dplyr, etc.), the rownames_to_column() function from the tibble package can be used to easily convert row.names to a column, e.g.: library('tibble') a = as.data.frame(matrix(1:9, nrow=3, ncol=3, dimnames=list(LETTERS[1:3],...
Given that it seems natural for users to read their taxonomy info into a data frame with column names as the rank names and row names as taxa names, I'm wondering what the reason is behind the tax_table data.frame method dropping the existing names and replacing with the default "sp#"...
(my_otu_table) nrow(my_otu_table) my_metadata <- data.frame(phyloseq::sample_data(ps), check.names = FALSE ) my_metadata <- tibble::rownames_to_column(my_metadata, "SampleID") AV.Object <- amp_load(otutable = my_otu_table, metadata = my_metadata, tree = fitGTR$tree) AV....
install.packages("dplyr")# Install & load dplyrlibrary("dplyr") Now, we can use the rownames_to_column function to add the row names of our data as variable: data2<-data# Duplicate example datadata2<-tibble::rownames_to_column(data2,"row_names")# Apply rownames_to_columndata2# Pri...