从 DataFrame 或 JuliaDB 获取列名 table

Get column names from DataFrame or JuliaDB table

如何从 DataFrame 对象或 JuliaDB IndexedTable 对象中获取列名?这可能吗?


可重现代码:

using JuliaDB
import DataFrames
DF = DataFrames

# CREATES AN EXAMPLE TABLE WITH JULIADB

colnames = [:samples, :A, :B, :C, :D]
primary_key = [:samples]
coltypes = [Int[], Float64[],Float64[],Float64[],Float64[]]
sample_sizes = [100,200,300]
example_values = (1, 0.4, 0.3, 0.2, 0.1)

mytable = table(coltypes..., names=colnames, pkey=primary_key) # initialize empty table

# add some data to table
for i in sample_sizes
    example_values = (i, 0.4, 0.3, 0.2, 0.1)
    table_params = [(col=>val) for (col,val) in zip(colnames, example_values)]

    push!(rows(mytable), (; table_params...)) # add row
    mytable = table(mytable, pkey = primary_key, copy = false) # sort rows by primary key
end
mytable = table(unique(mytable), pkey=primary_key) # remove duplicate rows which don't exist

# MAKES A DATAFRAME FROM JULIADB TABLE

df = DF.DataFrame(mytable)

例如,给定上面的代码,如果在 mytabledf 中有一个列 :E,您将如何检查条件(为了添加这样的一列,如果它还不存在)?

最终,我正在寻找与以下 Python 代码等效的 Julia:

if 'E' in df.columns:
     # ...
else:
     # ...

如果df是一个数据框你可以这样写:

if :E in names(df)
...

(在 JuliaDB.jl 中会是 JuliaDB.colnames

但更快(就 运行 时间而言且可用于数据帧的选项是:

if hasproperty(df, :E)
...

有点慢,但在其他情况下很有用(它也适用于 JuliaDB.jl 但首先你必须加载 Tables.jl 并改为写 Tables.columnindex):

if columnindex(df, :E) != 0
...

最后一个示例 columnindex 可能是最复杂的,其工作方式在其文档中有所描述:

help?> columnindex
search: columnindex

  Tables.columnindex(table, name::Symbol)

  Return the column index (1-based) of a column by name in a table with a
  known schema; returns 0 if name doesn't exist in table

  ────────────────────────────────────────────────────────────────────────────

  given names and a Symbol name, compute the index (1-based) of the name in
  names