[amp_mcq option1=”Getting columns” option2=”Setting columns” option3=”Deleting columns” option4=”All of the mentioned” correct=”option4″]

The correct answer is: D. All of the mentioned

Pandas DataFrame columns can be accessed, set, and deleted using the same syntax as the analogous dict operations. For example, to access the value of a column, you can use the [] operator, just like you would with a dict. To set the value of a column, you can use the []= operator. And to delete a column, you can use the del keyword.

Here are some examples:

“`python

Create a DataFrame with two columns, A and B

df = pd.DataFrame({‘A’: [1, 2, 3], ‘B’: [4, 5, 6]})

Access the value of the A column

df[‘A’]

Output: array([1, 2, 3])

Set the value of the B column to 7

df[‘B’] = 7

Delete the A column

del df[‘A’]

The DataFrame now has only one column, B

df

Output:

B

0 7

1 7

2 7

“`

I hope this helps! Let me know if you have any other questions.