import pandas as pd

# create a sample dataframe
data = {'Cat': ['A', 'A', 'B', 'B', 'B', 'C'], 
'Value': [10, 20, 30, 40, 50, 60]}
df = pd.DataFrame(data)

# compute the mean of each category
mean_df = df.groupby('Cat').agg({'Value': 
'mean'}).reset_index().rename(columns={'Value': 
'Mean'})

print(mean_df)