scipy.stats.gmean(array, axis=0, dtype=None)

# importing module
import pandas as pd
import numpy as np
from scipy import stats
  
# Create a DataFrame
df = pd.DataFrame({
    'Name': ['Monty', 'Anurag', 'Kavya', 'Hunny', 'Saurabh',
             'Shubham', 'Ujjawal', 'Satyam', 'Prity', 'Tanya', 
             'Amir', 'donald'],
    'Match1_score': [52, 87, 35, 14, 41, 71, 95, 83, 22, 82, 11, 97],
    'match2_score': [45, 80, 62, 53, 49, 82, 36, 97, 84, 93, 39, 59]})
  
# Display DataFrame
df

# Creating empty column in DataFrame
df['Geometric Mean'] = None
df

# Computing geometric mean
# Storing into a DataFrame column
df['Geometric Mean'] = stats.gmean(df.iloc[:, 1:3], axis=1)
df