Pandas Practice Set-1: Read only a subset of 3 rows from diamonds DataFrame

Last update on May 03 2025 13:08:47 (UTC/GMT +8 hours)

21. Read Only a Subset of 3 Rows

Write a Pandas program to read only a subset of 3 rows from 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("\nSubset of 3 rows from diamonds DataFrame:")
result = pd.read_csv('http://bit.ly/uforeports', nrows=3)
print(result.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

Subset of 3 rows from diamonds DataFrame:
          City  Colors Reported       ...        State             Time
0       Ithaca              NaN       ...           NY   6/1/1930 22:00
1  Willingboro              NaN       ...           NJ  6/30/1930 20:00
2      Holyoke              NaN       ...           CO  2/15/1931 14:00

[3 rows x 5 columns]

For more Practice: Solve these Related Problems:

Write a Pandas program to read the diamonds CSV file and display only the first 3 rows using the head() function.
Write a Pandas program to load only 3 rows from the diamonds CSV by specifying the nrows parameter.
Write a Pandas program to randomly select 3 rows from the diamonds DataFrame and print them.
Write a Pandas program to extract a subset of 3 rows from the diamonds DataFrame based on specific index positions.

Go to:

Previous: Write a Pandas program to display all column labels of diamonds DataFrame.
Next: Write a Pandas program to iterate through diamonds DataFrame.

Python Code Editor:

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