How to get count of each unique item in dataframe

[SriMekala]

Hi,
I have below DataFrame:

data = {'Name':['Tom', 'nick', 'krish', 'jack'],
'Age':['Fail', 'Pass', 'Pass', 'Fail']}

I want to get the count of each unique item under column "Age"(for example here Pass & Fail). Finally summarize to:

Labels  values
Fail    2
Pass    2

I use below code, but I could get the count, but could not be able to arrange to the table as shown above.

#%%:
import pandas as pd
 
# intialise data of lists.
data = {'Name':['Tom', 'nick', 'krish', 'jack'],
        'Age':['Fail', 'Pass', 'Pass', 'Fail']}
 # Create DataFrame
df = pd.DataFrame(data)
data_cnt=df.groupby('Age').count()