Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN: 9780133594140
Author: James Kurose, Keith Ross
Publisher: PEARSON
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please provide code 

and explanation with output (list student)

 

### Python DataFrame Iteration for Student List Creation

#### Task Overview

The goal is to read student data from a text file into a pandas DataFrame, iterate over its rows, and create a student object for each entry. These objects will then be stored in a list called `students`.

#### Python Code Snippet

```python
students = []
import pandas as pd

data = pd.read_csv('students.txt')
df = pd.DataFrame(data)
print(df)
```

#### File Output Explanation

The DataFrame contains the following columns: `firstname`, `lastname`, `status`, and `gpa`. Each row corresponds to a different student with their academic status and grade point average (GPA). The output from the code is as follows:

|   | firstname | lastname  | status    | gpa |
|---|-----------|-----------|-----------|-----|
| 0 | Mike      | Barnes    | freshman  | 4.0 |
| 1 | Jim       | Nickerson | sophomore | 3.0 |
| 2 | Jack      | Indabox   | junior    | 2.5 |
| 3 | Jane      | Doe       | freshman  | 1.1 |
| 4 | Jane      | Miller    | senior    | 3.6 |
| 5 | Mary      | Scott     | senior    | 2.7 |
| 6 | John      | Doe       | senior    | 1.0 |
| 7 | Elvis     | Presley   | sophomore | 1.5 |
| 8 | Batman    | Wayne     | freshman  | 0.5 |
| 9 | Jack      | Pot       | junior    | 2.0 |

#### Challenge

The user is confused about how to iterate over the rows of the DataFrame and add each student object to the `students` list. Guidance is requested on achieving this task efficiently.
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Transcribed Image Text:### Python DataFrame Iteration for Student List Creation #### Task Overview The goal is to read student data from a text file into a pandas DataFrame, iterate over its rows, and create a student object for each entry. These objects will then be stored in a list called `students`. #### Python Code Snippet ```python students = [] import pandas as pd data = pd.read_csv('students.txt') df = pd.DataFrame(data) print(df) ``` #### File Output Explanation The DataFrame contains the following columns: `firstname`, `lastname`, `status`, and `gpa`. Each row corresponds to a different student with their academic status and grade point average (GPA). The output from the code is as follows: | | firstname | lastname | status | gpa | |---|-----------|-----------|-----------|-----| | 0 | Mike | Barnes | freshman | 4.0 | | 1 | Jim | Nickerson | sophomore | 3.0 | | 2 | Jack | Indabox | junior | 2.5 | | 3 | Jane | Doe | freshman | 1.1 | | 4 | Jane | Miller | senior | 3.6 | | 5 | Mary | Scott | senior | 2.7 | | 6 | John | Doe | senior | 1.0 | | 7 | Elvis | Presley | sophomore | 1.5 | | 8 | Batman | Wayne | freshman | 0.5 | | 9 | Jack | Pot | junior | 2.0 | #### Challenge The user is confused about how to iterate over the rows of the DataFrame and add each student object to the `students` list. Guidance is requested on achieving this task efficiently.
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