Why we are using apply instead of applymap in the dataframe factors_impact?

Hi! I had understood that apply() works for a series (single column) and applymap() for a dataframe (several columns). However, when I use applymap() in factors_impact (which has 6 columns) it gives a weird output (3 results per data), and the apply() method works fine instead. Then, I do not understand anything anymore. Are we using apply() for dataframes? What is the usage of applymap() then???

Ah!!! I see now, it is explained at the end of the mission. There are two different methods, and when we sue apply() to a dataframe, we do it vectorized, so faster. Them why would somebody use applymap()??

Hi @ncirauqu:

Please provide a mission link and format your code as per these guidelines in future so that we can better assist you.

Check out this article and this other.

Hi!! Thanks so much for the link!! I really wanted to know how to link my posts

The URL to the mission is:

@ncirauqu Looks good to me. Remember to do this in future when asking questions to make answering of questions by volunteers easier