This relates to other issues, #18 and #21 at least.
This seems like a joke to me:
"Hierarchical / Multi-level indexing is very exciting as it opens the door to some quite sophisticated data analysis and manipulation, especially for working with higher dimensional data. In essence, it enables you to store and manipulate data with an arbitrary number of dimensions in lower dimensional data structures like Series (1d) and DataFrame (2d)."
From the user guide here: https://pandas.pydata.org/pandas-docs/stable/user_guide/advanced.html
This relates to other issues, #18 and #21 at least.
This seems like a joke to me: "Hierarchical / Multi-level indexing is very exciting as it opens the door to some quite sophisticated data analysis and manipulation, especially for working with higher dimensional data. In essence, it enables you to store and manipulate data with an arbitrary number of dimensions in lower dimensional data structures like Series (1d) and DataFrame (2d)." From the user guide here: https://pandas.pydata.org/pandas-docs/stable/user_guide/advanced.html
Ever hear of adding a column?