Pandas 多索引数据框：同一级别的 2 个值

Question

I want to create a multiindex Dataframe in Pandas, however, I have 2 values (string and float), that are unique and to my understanding should be on the highest level. Each of my data sets has one string with a respective (float) value and 4 features that have their respective values in 16 columns.

What is the correct/pythonic way to create such a dataframe?

1.) Having the value as a level?

2.) Inserting the value 4 times in all columns of the set as its own column?

3.) Something more elegant I am not aware of?

If you think this question is for whatever reasons inappropriate, please let me know in a short comment why and don't just down rate. Thanks a lot!

Answer 1

I think the best is create DataFrame with:

Name , Features , value <- MultiIndex with 3 levels
Pos1 - Pos16 - columns

But all depends of what you need do later with data.