Python Pandas – drop duplicates from dataframe and merge the columns value

I am trying to remove duplicates from my Dataframe and save their data into the columns where they are NA/Empty.

Example:
I’ve the following DATAFRAME and I would like to remove all the duplicates in column A but merge the values from the rest of the tables

The expected output:

How can I perform the above dynamically?

Thanks in advance for the answers

>Solution :

You can use groupby_first because it compute the first non-null entry of each column.:

>>> df.groupby('A', as_index=False).first()
   A     B     C     D     E
0  1     X  None  None  None
1  2     X     X     X     X
2  3  None     X     X  None