Pandas Practice Set-1: Calculate the mean of each numeric column of diamonds DataFrame

Last update on May 03 2025 13:08:45 (UTC/GMT +8 hours)

26. Calculate Mean of Each Numeric Column

Write a Pandas program to calculate the mean of each numeric column 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 numeric column of diamonds DataFrame:")
print(diamonds.mean())

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 numeric column of diamonds DataFrame:
carat       0.797940
depth      61.749405
table      57.457184
price    3932.799722
x           5.731157
y           5.734526
z           3.538734
dtype: float64

For more Practice: Solve these Related Problems:

Write a Pandas program to compute the mean of every numeric column in the diamonds DataFrame and display the result.
Write a Pandas program to calculate the column-wise mean for numeric data and then round the results to two decimals.
Write a Pandas program to compute the mean of numeric columns and compare them with the median values.
Write a Pandas program to calculate and print the mean of numeric columns, then plot a bar chart of these means.

Go to:

Previous: Write a Pandas program to pass a list of data types to only describe certain types of diamonds DataFrame.
Next: Write a Pandas program to calculate the mean of each row of diamonds DataFrame.

Python Code Editor:

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