Pandas Practice Set-1: Read rows 2 through 5 and all columns of diamonds DataFrame

Last update on May 03 2025 13:02:29 (UTC/GMT +8 hours)

51. Read Rows 2 Through 5 and All Columns

Write a Pandas program to read rows 2 through 5 and all columns 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("\nRows 2 through 5 and all columns :")
print(diamonds.loc[0:2, :])

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

Rows 2 through 5 and all columns :
   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

For more Practice: Solve these Related Problems:

Write a Pandas program to use slicing to read rows 2 through 5 (inclusive) from the diamonds DataFrame and display all columns.
Write a Pandas program to extract rows 2 to 5 from the diamonds CSV using iloc and print the resulting DataFrame.
Write a Pandas program to load the diamonds DataFrame and then use slicing to display rows 2, 3, 4, and 5.
Write a Pandas program to select a continuous block of rows (2 to 5) from the diamonds DataFrame and validate by printing the index.

Go to:

Previous:Write a Pandas program to read rows 0, 5, 7 and all columns of diamonds DataFrame.
Next: Write a Pandas program to read rows 0 through 2 (inclusive), columns ‘color’ and ‘price’ of diamonds DataFrame.

Python Code Editor:

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