In this article, we will discuss how to find the geometric mean of a given DataFrame. Generally geometric mean of nth numbers is the nth root of their product.
It can found using the scipy.stats.gmean() method. This function calculates the geometric mean of the array elements along the specified axis of the array (list in python).
Syntax:
scipy.stats.gmean(array, axis=0, dtype=None)
Approach :
- Import module
- Create Pandas DataFrame
- Create a new column for the geometric mean
- Find the geometric mean with scipy.stats.gmean()
- Store into a new column
- Display DataFrame
Step-by-Step Implementation :
Step 1: Importing module and Making Dataframe.
Python
# 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 |
Output :
Step 2: Create an empty DataFrame column.
Python3
# Creating empty column in DataFrame df['Geometric Mean'] = Nonedf |
Output :
Step 3: Find Geometric mean with scipy.stats.gmean() and store it into a new column.
Python3
# Computing geometric mean # Storing into a DataFrame column df['Geometric Mean'] = stats.gmean(df.iloc[:, 1:3], axis=1) df |
Output :
