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’:

11.4 132.3c6.3 23.7 24.8 41.5 48.3 47.8C117.2 448 288 448 288 448s170.8 0 213.4-11.5c23.5-6.3 42-24.2 48.3-47.8 11.4-42.9 11.4-132.3 11.4-132.3s0-89.4-11.4-132.3zm-317.5 213.5V175.2l142.7 81.2-142.7 81.2z"/> Subscribe on YouTube