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