What is the output of the following command dataframe[dataframe.index != 0] exclude the column with index 0 from the datafram exclude the row with index 0 from the dataframe no output delete the row 0 from the dataframe and save the changes
What is the output of the following command dataframe[dataframe.index != 0] exclude the column with index 0 from the datafram exclude the row with index 0 from the dataframe no output delete the row 0 from the dataframe and save the changes
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Question
![**Question**
What is the output of the following command:
```python
dataframe[dataframe.index != 0]
```
**Options**
- ○ exclude the column with index 0 from the dataframe
- ○ exclude the row with index 0 from the dataframe
- ○ no output
- ○ delete the row 0 from the dataframe and save the changes
---
**Explanation**
This question is about understanding the effect of an indexing operation on a DataFrame in Python, particularly using the Pandas library. The command
```python
dataframe[dataframe.index != 0]
```
is used to filter the DataFrame rows based on their index. Below are the options provided, with detailed explanations:
**Options and Explanations**:
1. **Exclude the column with index 0 from the dataframe**:
- This statement is incorrect because the command is filtering rows, not columns.
2. **Exclude the row with index 0 from the dataframe**:
- This is the correct answer. The command `dataframe[dataframe.index != 0]` filters out the row where the index is 0. It keeps all other rows.
3. **No output**:
- This statement is incorrect because the command will return a DataFrame excluding the specified row; thus, it produces an output.
4. **Delete the row 0 from the dataframe and save the changes**:
- This statement is incorrect because the command creates a new DataFrame with the row excluded but does not modify the original DataFrame. The changes are not saved back to the original DataFrame unless specifically assigned back to it.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F74bc20e3-8cce-4582-b12b-90f9b9ec96e4%2Ffbe02c46-663f-428a-804a-86dc34e7ff4d%2Ftb722hp_processed.png&w=3840&q=75)
Transcribed Image Text:**Question**
What is the output of the following command:
```python
dataframe[dataframe.index != 0]
```
**Options**
- ○ exclude the column with index 0 from the dataframe
- ○ exclude the row with index 0 from the dataframe
- ○ no output
- ○ delete the row 0 from the dataframe and save the changes
---
**Explanation**
This question is about understanding the effect of an indexing operation on a DataFrame in Python, particularly using the Pandas library. The command
```python
dataframe[dataframe.index != 0]
```
is used to filter the DataFrame rows based on their index. Below are the options provided, with detailed explanations:
**Options and Explanations**:
1. **Exclude the column with index 0 from the dataframe**:
- This statement is incorrect because the command is filtering rows, not columns.
2. **Exclude the row with index 0 from the dataframe**:
- This is the correct answer. The command `dataframe[dataframe.index != 0]` filters out the row where the index is 0. It keeps all other rows.
3. **No output**:
- This statement is incorrect because the command will return a DataFrame excluding the specified row; thus, it produces an output.
4. **Delete the row 0 from the dataframe and save the changes**:
- This statement is incorrect because the command creates a new DataFrame with the row excluded but does not modify the original DataFrame. The changes are not saved back to the original DataFrame unless specifically assigned back to it.
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