Pandas Practice Set-1: Read specified rows and all columns of diamonds DataFrame

Last update on May 03 2025 13:02:28 (UTC/GMT +8 hours)

49. Read Specified Rows and All Columns

Write a Pandas program to read specified rows 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("First 7 rows:")
print(diamonds.head(7))
print("\nAll columns:")
print(diamonds.loc[0, :])

Sample Output:

First 7 rows:
   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
5   0.24  Very Good     J    VVS2   62.8   57.0    336  3.94  3.96  2.48
6   0.24  Very Good     I    VVS1   62.3   57.0    336  3.95  3.98  2.47

All columns:
carat       0.23
cut        Ideal
color          E
clarity      SI2
depth       61.5
table         55
price        326
x           3.95
y           3.98
z           2.43
Name: 0, dtype: object

For more Practice: Solve these Related Problems:

Write a Pandas program to load only specified rows (e.g., rows 10-20) from the diamonds CSV and display all columns.
Write a Pandas program to read a subset of rows from the diamonds DataFrame using the skiprows parameter.
Write a Pandas program to load diamonds data and extract rows by providing a list of row indices, then display the result.
Write a Pandas program to load diamonds data from a CSV and print all columns for rows that meet a specific condition on the index.

Go to:

Previous:Write a Pandas program to concatenate the diamonds DataFrame with the 'color' Series.
Next: Write a Pandas program to read rows 0, 5, 7 and all columns of diamonds DataFrame.

Python Code Editor:

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