Adding a header/another row to a pandas dataframe based on some columns

Question

I am trying to add a subheader to a pandas data frame based on some attributes. an example is the following:

Currently, I have all of the attributes in the second row but would like to add a header/above row based on a grouping of certain attributes.

Note: The main key is the order ID not sure if that helps.

Answer 1

import pandas as pd

cols = pd.MultiIndex.from_tuples([("Buyer details", "Buyer Name"),
                                  ("Buyer details", "Buyer Address"),
                                  ("Oder Details", "Order Id"),
                                  ("Oder Details", "Order description"),
                                  ("Oder Details", "Order person"),
                                  ("Item Details", "Item Link"),
                                  ("Item Details", "Item cost")])
df = pd.DataFrame(columns=cols)
print(df)

Answer 2

I assume you already have a dataframe with the column names in the inner level shown in your picture. Then one way to do without knowing the column names is:

cols = df.columns
df.columns = pd.MultiIndex.from_arrays(
    [[''] * len(cols), cols]).map(lambda x: (x[1].split()[0] + ' details', x[1]))