Pandas Practice Set-1: Calculate the mean of each row of diamonds DataFram

Last update on April 11 2025 12:54:59 (UTC/GMT +8 hours)

27. Calculate Mean of Each Row

Write a Pandas program to calculate the mean of each row of diamonds DataFrame.

Sample Solution:

Python Code:

import pandas as pd
diamonds = pd.read_csv('https://raw.githubusercontent.com/mwaskom/seaborn-data/master/diamonds.csv')
print("Original Dataframe:")
print(diamonds.head())
print("\nMean of each row of diamonds DataFrame:")
print(diamonds.mean(axis=1).head())

Sample Output:

Original Dataframe:
   carat      cut color clarity  depth  table  price     x     y     z
0   0.23    Ideal     E     SI2   61.5   55.0    326  3.95  3.98  2.43
1   0.21  Premium     E     SI1   59.8   61.0    326  3.89  3.84  2.31
2   0.23     Good     E     VS1   56.9   65.0    327  4.05  4.07  2.31
3   0.29  Premium     I     VS2   62.4   58.0    334  4.20  4.23  2.63
4   0.31     Good     J     SI2   63.3   58.0    335  4.34  4.35  2.75

Mean of each row of diamonds DataFrame:
0    64.727143
1    65.292857
2    65.651429
3    66.535714
4    66.864286
dtype: float64

For more Practice: Solve these Related Problems:

Write a Pandas program to calculate the mean value for each row in the diamonds DataFrame for numeric columns.
Write a Pandas program to add a new column to the diamonds DataFrame that contains the row-wise mean of numeric values.
Write a Pandas program to compute the mean across each row and then filter rows based on a threshold of this mean.
Write a Pandas program to calculate and display the row-wise mean values and plot their distribution.

Python Code Editor:

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