Pandas Practice Set-1: Read rows 0 through 2 (inclusive), columns ‘color’ through ‘price’ (inclusive) of diamonds DataFrame
53. Read Rows 0 Through 2 (Inclusive), Columns 'color' Through 'price' (Inclusive)
Write a Pandas program to read rows 0 through 2 (inclusive), columns ‘color’ through ‘price’ (inclusive) 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 clarity depth table price 0 E SI2 61.5 55.0 326 1 E SI1 59.8 61.0 326 2 E VS1 56.9 65.0 327
For more Practice: Solve these Related Problems:
- Write a Pandas program to select rows 0 to 2 and columns from 'color' to 'price' using loc, ensuring both endpoints are included.
- Write a Pandas program to extract a continuous block of columns from 'color' to 'price' for rows 0-2 and display the subset.
- Write a Pandas program to slice the diamonds DataFrame for rows 0 through 2 and columns between 'color' and 'price', then print the shape.
- Write a Pandas program to retrieve rows 0-2 and a range of columns (color to price) and then perform a descriptive analysis on the subset.
Python Code Editor:
Have another way to solve this solution? Contribute your code (and comments) through Disqus.
Previous:Write a Pandas program to read rows 0 through 2 (inclusive), columns ‘color’ and ‘price’ of diamonds DataFrame.
Next: Write a Pandas program to read rows in which the ‘cut’ is ‘Premium’, column ‘color’ of diamonds DataFrame.
What is the difficulty level of this exercise?