Using Pandas DataFrames is there a way to break a row into multiple rows based on if each column contains a value?

Question

Given a dataframe with columns A B C D E F and 3 rows:

[1,100,null,100,null,"cat"]
[2,null,50,null,50,"dog"]
[3,100,null,null,100,"co