Question

What is the equation after applying the following operations to df: rename, rolling, mean?

1) df.rename().rolling().mean()
2) df.rename().mean().rolling()
3) df.rolling().mean().rename()
4) df.mean().rolling().rename()

Answer 1

The correct sequence of operations for a dataframe that aligns with rolling dice data is df.rename().rolling().mean(), which involves renaming the dataframe, calculating rolling windows, and computing the mean for each window.

Step-by-step explanation:

The student is seeking to understand the sequence of operations after applying rename, rolling, and mean functions to a dataframe (df) in the context of a programming task, likely using a library such as pandas in Python. To clarify, these operations are not directly related to rolling dice but are data manipulation tasks. Among the provided options, only one sequence is logically correct in the context of pandas operations:

• df.rename(): Renames the columns or index.
• df.rolling(): Provides rolling window calculations.
• df.mean(): Computes the mean of the given values.

The correct sequence is to first rename the dataframe, then calculate rolling windows, and finally compute the mean for each window, so the correct equation is df.rename().rolling().mean(). Using dice as an example, if a student were to roll dice multiple times, record the outcome of each roll, and compute means within a rolling window of these rolls, this sequence of data operations could be applied.