import pandas as pd

# Create a dataframe
df = pd.DataFrame({'Group': ['A', 'A', 'B', 'B', 'B', 'C', 'C'], 'Value': [10, 20, 30, 40, 50, 60, 70]})

# Sort the dataframe by 'Value' column
df = df.sort_values(by='Value', ascending=False)

# Group by the 'Group' column and get the 2nd largest value of the 'Value' column
result = df.groupby('Group')['Value'].nth(1)

print(result)