In the pandas library, you can select a subset of columns in a dataset using the following commands:

1. Using the DataFrame name followed by the column name in square brackets. For example, if your DataFrame is named 'df' and you want to select the column named 'column1', you would use the following command:

```python
df['column1']
```

2. If you want to select multiple columns, you can pass a list of column names inside the square brackets. For example, to select 'column1' and 'column2', you would use:

```python
df[['column1', 'column2']]
```

3. You can also use the .loc and .iloc methods to select columns by label or by integer-based location, respectively. For example:

```python
df.loc[:, 'column1']
df.iloc[:, 0] # to select the first column
```

Remember to replace 'df', 'column1', and 'column2' with your actual DataFrame name and column names.

Question

In the pandas library, you can select a subset of columns in a dataset using the following commands:

1. Using the DataFrame name followed by the column name in square brackets. For example, if your DataFrame is named 'df' and you want to select the column named 'column1', you would use the following command:

```python
df['column1']
```

2. If you want to select multiple columns, you can pass a list of column names inside the square brackets. For example, to select 'column1' and 'column2', you would use:

```python
df[['column1', 'column2']]
```

3. You can also use the .loc and .iloc methods to select columns by label or by integer-based location, respectively. For example:

```python
df.loc[:, 'column1']
df.iloc[:, 0]  # to select the first column
```

Remember to replace 'df', 'column1', and 'column2' with your actual DataFrame name and column names.

Knowee AI · Accepted Answer

In the pandas library, you can select a subset of columns in a dataset using the following commands:

1. Using the DataFrame name followed by the column name in square brackets. For example, if your DataFrame is named 'df' and you want to select the column named 'column1', you would use the following command:

```python
df['column1']
```

2. If you want to select multiple columns, you can pass a list of column names inside the square brackets. For example, to select 'column1' and 'column2', you would use:

```python
df[['column1', 'column2']]
```

3. You can also use the .loc and .iloc methods to select columns by label or by integer-based location, respectively. For example:

```python
df.loc[:, 'column1']
df.iloc[:, 0]  # to select the first column
```

Remember to replace 'df', 'column1', and 'column2' with your actual DataFrame name and column names.

Problem statementSend feedbackWhich of the following commands can be used to select a subset of columns in a dataset using the pandas library?

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