df mul vs df rmul in Pandas

Question

What is the difference between df.mul and df.rmul? The documentation looks similar for both.

Answer 1

The documentation is not identical. As stated in the documentation, df.mul(other) is equivalent to df * other, while df.rmul(other) is equivalent to other * df.

This probably doesn't matter for most cases, but it will matter if, e.g., you have a dataframe of object dtype whose elements have noncommutative multiplication.