the following attributes of a DataFrame return a list of column names of thisDataFrame?1 pointcolumnsshapedtypecolumn

The attribute of a DataFrame that returns a list of column names is columns.

Here is how you can get it:

1. Import pandas library: This is the first step where you import pandas library using the command import pandas as pd.

2. Create or load a DataFrame: You can either create a DataFrame using pandas pd.DataFrame() function or you can load a DataFrame from a csv file using pd.read_csv() function.

3. Get the column names: Once you have a DataFrame, you can get the list of column names using the columns attribute. For example, if your DataFrame is named as df, you can get the column names using df.columns.

Here is an example:

import pandas as pd

# Create a DataFrame
df = pd.DataFrame({
   'A': ['foo', 'bar', 'baz'],
   'B': ['one', 'two', 'three'],
   'C': ['x', 'y', 'z']
})

# Get the column names
print(df.columns)

This will output: Index(['A', 'B', 'C'], dtype='object')

Note: The shape attribute returns a tuple representing the dimensionality of the DataFrame and the dtype attribute returns the data type of the values in the DataFrame. The columns attribute is the correct answer to your question.