从 pandas groupby dataframe 中切出特定行

Question

I need to slice a particular row out of a groupby dataframe using 2 columns titles (The image is provided).I need the output of "Age" for a given Gender and Country.

Output of the groupby dataframe

Answer 1

Now that you didnt give data. Lets use free data from seaborn

Data

import pandas as pd
import seaborn as sns
sns.set()
tips = sns.load_dataset("tips")
tips

Groupby to get similar result to yours

df=tips.groupby(['sex','time'])['tip'].sum().to_frame()
df

Several ways to slice multi index for row;

##Silce Male Dinner
df.loc['Male','Dinner',:]

##Silce Female Dinner and Lunch
df.loc['Female',:]

#slice(None) to select all the contents of that level.
df.loc[(slice(None),'Lunch'),:]