How to query Pandas df based on row values and column header with Python

Is there a way to query the df based on the row values and column header? Looking to pass through Disney, World, and Value as variables to return 55. I tried using the df.loc function but received errors. The Key1 and Key2 headers are set as the df.index.

Pandas Dataframe

>Solution :

IIUC, you create a function, pass the parameters and get the value in return

def findval(df, Key1, Key2):
    return df[(df['Key1'] == Key1) & 
              (df['Key2'] == Key2)]['Value']

findval(df, 'Disney', 'Land')

1 97
Name: Value, dtype: int64