Pandas Practice Set-1: Read rows in positions 0 through 4, columns in positions 1 through 4 of diamonds DataFrame

Last update on May 03 2025 13:08:28 (UTC/GMT +8 hours)

56. Read Rows in Positions 0 Through 4, Columns in Positions 1 Through 4

Write a Pandas program to read rows in positions 0 through 4, columns in positions 1 through 4 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 in positions 0 through 4, columns in positions 1 through 4:")
print(diamonds.iloc[0:4, 1:4])

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 in positions 0 through 4, columns in positions 1 through 4:
       cut color clarity
0    Ideal     E     SI2
1  Premium     E     SI1
2     Good     E     VS1
3  Premium     I     VS2

For more Practice: Solve these Related Problems:

Write a Pandas program to use iloc to select rows 0 to 4 and columns 1 to 4 from the diamonds DataFrame.
Write a Pandas program to slice the diamonds DataFrame for the specified row and column positions and display the extracted block.
Write a Pandas program to load the diamonds dataset and use integer-based slicing to extract rows 0-4 and columns 1-4.
Write a Pandas program to retrieve and print a sub-DataFrame from the diamonds data using positional indices for both rows and columns.

Go to:

Previous: Write a Pandas program to read rows in positions 0 and 1, columns in positions 0 and 3 of diamonds DataFrame.
Next: Write a Pandas program to read rows in positions 0 through 4 (exclusive) and all columns of diamonds DataFrame.

Python Code Editor:

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