Pandas DataFrame Replace NaT with None

Question

I have been struggling with this question for a long while, and I tried different methods.

I have a simple DataFrame as shown,

I can use code to rep

Answer 1

Similar approach as suggested by @neerajYadav but without the apply:

dfTest2['InvoiceDate'] = (dfTest2['InvoiceDate']
                          .astype(str) # <- cast to string to simplify
                                       #    .replace() in newer versions
                          .replace({'NaT': None} # <- replace with None
                         )