The term "columns" is used in Pandas to describe the column names of a DataFrame. Here's how you can access them:

1. First, you need to import pandas library. You can do this by using the following command:
```python
import pandas as pd
```

2. Next, create a DataFrame. For example:
```python
data = {'Name': ['John', 'Anna', 'Peter'], 'Age': [28, 24, 22]}
df = pd.DataFrame(data)
```

3. Now, if you want to get the column names, you can use the `.columns` attribute:
```python
print(df.columns)
```

This will output: `Index(['Name', 'Age'], dtype='object')`, which are the column names of the DataFrame.

Question

The term "columns" is used in Pandas to describe the column names of a DataFrame. Here's how you can access them:

1. First, you need to import pandas library. You can do this by using the following command:
```python
import pandas as pd
```

2. Next, create a DataFrame. For example:
```python
data = {'Name': ['John', 'Anna', 'Peter'], 'Age': [28, 24, 22]}
df = pd.DataFrame(data)
```

3. Now, if you want to get the column names, you can use the `.columns` attribute:
```python
print(df.columns)
```

This will output: `Index(['Name', 'Age'], dtype='object')`, which are the column names of the DataFrame.

Knowee AI · Accepted Answer

The term "columns" is used in Pandas to describe the column names of a DataFrame. Here's how you can access them:

1. First, you need to import pandas library. You can do this by using the following command:
```python
import pandas as pd
```

2. Next, create a DataFrame. For example:
```python
data = {'Name': ['John', 'Anna', 'Peter'], 'Age': [28, 24, 22]}
df = pd.DataFrame(data)
```

3. Now, if you want to get the column names, you can use the `.columns` attribute:
```python
print(df.columns)
```

This will output: `Index(['Name', 'Age'], dtype='object')`, which are the column names of the DataFrame.

____ is used in Pandas to describe the column names of a DataFrame.