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