How do I sort with sort_values() by 2 multiindex columns in Pandas

Question

I'm trying to sort a DataFrame with MultiIndex columns by 2 columns. Can't reach the second column.

Tried passing it as a list of lists but got an error. Tried passing it as a tuple also got an error

sorted_df = df.sort_values(by=([('Measurements','Name')], [('Measurements', 'DateCreated')]), ascending=True, inplace= False)

expected result: data frame sorted by name then by date . Getting key error

Answer 1

Does this work?

sorted_df = df.sort_values(by=[('Measurements','Name'), 
                               ('Measurements', 'DateCreated')], 
                           ascending=True, 
                           inplace= False)

Answer 2

您可能正在寻找groupby功能。

sorted_df = df.groupby(['Name', 'DateCreated'])