Pandas Practice Set-1: Read rows 2 through 5 (inclusive), columns in positions 0 through 2 (exclusive) of diamonds DataFrame
58. Read Rows 2 Through 5 (Inclusive), Columns in Positions 0 Through 2 (Exclusive)
Write a Pandas program to read rows 2 through 5 (inclusive), columns in positions 0 through 2 (exclusive) 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 (inclusive), columns in positions 0 through 2 (exclusive):")
print(diamonds.iloc[2:5, 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 (inclusive), columns in positions 0 through 2 (exclusive): carat cut 2 0.23 Good 3 0.29 Premium 4 0.31 Good
For more Practice: Solve these Related Problems:
- Write a Pandas program to use iloc to select rows 2 to 5 and columns 0 to 1 from the diamonds DataFrame.
- Write a Pandas program to slice the diamonds DataFrame for rows 2 through 5 (inclusive) and the first two columns, then display the output.
- Write a Pandas program to extract a block of data from the diamonds DataFrame using iloc with rows 2-5 and columns 0-1.
- Write a Pandas program to load the diamonds CSV and retrieve rows 2 through 5 and columns up to but not including position 2 using positional indexing.
Python Code Editor:
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Next: Write a Pandas program to print a concise summary of diamonds DataFrame.
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