Pandas: get value of an index in multi-index

I have a pandas dataframe :

data = {'id': [1,1,2,3],
        'name': ["Noemie","Elena", "Lize", "Patrick"],
        'value': ["pink", "blue", "red", "yellow" ]}

So I gather all the rows with the id "1" thanks to df.set_index(["id","name"])

My columns id and name become indexes, I wonder if is it possible to get for example the value "Noemie"

Knowing that, before multi-indexing I can have it with

df.loc[0].at["name"]

>Solution :

You can use df.index.get_level_values to get the desired index column you want and do comparison.

df[df.index.get_level_values('name') == 'Noemie']
 
          value
id name        
1  Noemie  pink

Or if you just want the index value

df.index[df.index.get_level_values('name') == 'Noemie'][0][1]
Out[30]: 'Noemie'