﻿ Pandas Practice Set-1: Read only a subset of 3 rows from diamonds DataFrame - w3resource

# Pandas Practice Set-1: Read only a subset of 3 rows from diamonds DataFrame

## Pandas Practice Set-1: Exercise-21 with Solution

Write a Pandas program to read only a subset of 3 rows from diamonds DataFrame.

Sample Solution:

Python Code:

``````import pandas as pd
print("Original Dataframe:")
print("\nSubset of 3 rows from diamonds DataFrame:")
``````

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

Subset of 3 rows from diamonds DataFrame:
City  Colors Reported       ...        State             Time
0       Ithaca              NaN       ...           NY   6/1/1930 22:00
1  Willingboro              NaN       ...           NJ  6/30/1930 20:00
2      Holyoke              NaN       ...           CO  2/15/1931 14:00

[3 rows x 5 columns]
```

Python Code Editor:

Have another way to solve this solution? Contribute your code (and comments) through Disqus.

What is the difficulty level of this exercise?

﻿

## Python: Tips of the Day

Python: Use Enumerate() In for Loops

```>>> students = ('John', 'Mary',  'Mike')
>>> for i, student in enumerate(students):
...     print(f'Iteration:  {i}, Student: {student}')
...
Iteration: 0, Student: John
Iteration: 1, Student: Mary
Iteration: 2, Student: Mike
>>> for i, student in enumerate(students,  35001):
...      print(f'Student Name: {student}, Student ID #: {i}')
...
Student Name: John, Student ID #: 35001
Student Name: Mary, Student ID #: 35002
Student Name: Mike, Student ID #: 35003
```