Find the geometric mean of a given Pandas DataFrame
Last Updated :
05 Sep, 2020
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
import pandas as pd
import numpy as np
from scipy import stats
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]})
df
|
Output :
Step 2: Create an empty DataFrame column.
Python3
df['Geometric Mean'] = None
df
|
Output :
Step 3: Find Geometric mean with scipy.stats.gmean() and store it into a new column.
Python3
df['Geometric Mean'] = stats.gmean(df.iloc[:, 1:3], axis=1)
df
|
Output :
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