Pandas Practice Set-1: Read rows 0 through 2 (inclusive), columns ‘color’ and ‘price’ of diamonds DataFrame

Last update on May 03 2025 13:08:30 (UTC/GMT +8 hours)

52. Read Rows 0 Through 2 (Inclusive), Columns 'color' and 'price'

Write a Pandas program to read rows 0 through 2 (inclusive), columns ‘color’ and ‘price’ 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 0 through 2 (inclusive), columns ‘color’ and ‘price’:")
print(diamonds.loc[0:2, ['color', 'price']])

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 0 through 2 (inclusive), columns ‘color’ and ‘price’:
  color  price
0     E    326
1     E    326
2     E    327

For more Practice: Solve these Related Problems:

Write a Pandas program to read rows 0 through 2 and select only the 'color' and 'price' columns from the diamonds DataFrame.
Write a Pandas program to use loc to extract rows 0 to 2 with the columns 'color' and 'price' and display the output.
Write a Pandas program to load the diamonds CSV and slice rows 0-2 and columns 'color' and 'price', then print the result.
Write a Pandas program to retrieve a subset of the diamonds DataFrame for rows 0 through 2 and only the specified columns, then export it to a new CSV file.

Go to:

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

Python Code Editor:

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